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<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
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<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
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<issn pub-type="epub">1663-9812</issn>
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<article-id pub-id-type="publisher-id">1743226</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2026.1743226</article-id>
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<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
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<title-group>
<article-title>Effects of Kang&#x2019;ai injection combined with chemotherapy on immune function in advanced non-small cell lung cancer: a meta-analysis</article-title>
<alt-title alt-title-type="left-running-head">Wang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2026.1743226">10.3389/fphar.2026.1743226</ext-link>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Wang</surname>
<given-names>Yaoyao</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<sup>&#x2020;</sup>
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<surname>Zhao</surname>
<given-names>Xin</given-names>
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<sup>1</sup>
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<sup>1</sup>
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<sup>2</sup>
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<sup>3</sup>
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<aff id="aff1">
<label>1</label>
<institution>Henan University of Chinese Medicine</institution>, <city>Zhengzhou</city>, <state>Henan</state>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Zhengzhou University</institution>, <city>Zhengzhou</city>, <state>Henan</state>, <country country="CN">China</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Henan Provincial People&#x2019;s Hospital</institution>, <city>Zhengzhou</city>, <state>Henan</state>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Yanchun Wang, <email xlink:href="mailto:wyc88982@163.com">wyc88982@163.com</email>; Xuemei Wang, <email xlink:href="mailto:xuemeiwxm@163.com">xuemeiwxm@163.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-23">
<day>23</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1743226</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>30</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Wang, Wang, Zhang, Zhao, Zhang, Wang and Wang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Wang, Wang, Zhang, Zhao, Zhang, Wang and Wang</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-23">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Systematically evaluate the effects of Kang&#x2019;ai Injection (KAI) combined with platinum-based chemotherapy on immune function, clinical efficacy, and safety in patients with advanced non-small cell lung cancer.</p>
</sec>
<sec>
<title>Materials and methods</title>
<p>Relevant literature published from the inception of each database through September 2025 will be identified through systematic searches of Chinese and English electronic databases. Randomized controlled trials (RCTs) evaluating Kang&#x2019;ai injection combined with chemotherapy for advanced non-small cell lung cancer will be screened against predefined inclusion and exclusion criteria. Two investigators will independently perform data extraction and quality assessment. Meta-analyses will be conducted using RevMan 5.3 and Stata 18.0 software. Publication bias will be assessed using funnel plots and Egger&#x2019;s test, while the robustness of findings will be examined through trial sequential analysis (TSA). The quality of evidence for critical outcomes will be evaluated using the GRADE approach.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 14 randomized controlled trials involving 1,214 patients were included. The meta-analysis demonstrated that compared with chemotherapy alone, KAI combined with chemotherapy significantly improved the objective response rate and enhanced immune function parameters, including increased CD3<sup>&#x2b;</sup> and CD4<sup>&#x2b;</sup> T-cell counts, elevated CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup> ratio, and higher natural killer cell percentage, while reducing CD8<sup>&#x2b;</sup> T-cell percentage. The combination therapy group also showed superior outcomes in reducing tumor marker and vascular endothelial growth factor levels compared to the chemotherapy-alone group. Furthermore, combination treatment significantly reduced the incidence of chemotherapy-related adverse reactions including leukopenia, myelosuppression, nausea and vomiting, and gastrointestinal reactions.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>As an adjunctive therapy, KAI can enhance immune function (low-quality evidence), improve the objective response rate to chemotherapy (moderate-quality evidence), and alleviate chemotherapy-related toxicities (predominantly moderate-quality evidence) in patients with advanced NSCLC, providing an evidence-based reference for comprehensive clinical management.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p>
<ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.crd.york.ac.uk/PROSPERO/view/CRD420251168090">https://www.crd.york.ac.uk/PROSPERO/view/CRD420251168090</ext-link>.</p>
</sec>
</abstract>
<kwd-group>
<kwd>immune function</kwd>
<kwd>Kang&#x2019;ai injection</kwd>
<kwd>meta-analysis</kwd>
<kwd>non-small cell lung cancer</kwd>
<kwd>platinum-based chemotherapy</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was supported by the following funding sources: Henan Provincial Special Project for Traditional Chinese Medicine Research (Grant No. 2024ZY2134); Henan Provincial Key R&#x26;D and Promotion Project (Grant No. 242102311284); Integrated Traditional Chinese and Western Medicine Chronic Disease Management Research Project (Grant No. CXZH2024029); Henan Medical Science and Technology Research Project (Grant No. LHGJ20220080); and the Graduate Research Innovation Program of Henan University of Chinese Medicine (Grant Nos. 2024KYCX018, 2024KYCX079, 2024KYCX082), which provided financial support for this research and publication. National Natural Science Foundation of China (Grant No. U1804181); Henan Provincial Science and Technology Tackling Key Projects (Grant No. 182102311187); Henan Provincial Medical Science and Technology Tackling Key Projects (Grant No. 2018020396); Henan Provincial Medical Education Project (Grant No. WJLX2024021); Henan Provincial Health Commission Top Talent Program in Traditional Chinese Medicine (Grant No. Yu Wei Zhong Yi Ke Ke Ji [2025] No. 14). All these funding were provided by Yanchun Wang.</funding-statement>
</funding-group>
<counts>
<fig-count count="10"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="15"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Ethnopharmacology</meta-value>
</custom-meta>
</custom-meta-group>
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</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Lung cancer remains one of the most prevalent malignancies globally. Epidemiological investigations indicate that it ranks first among the eight major cancers in terms of new cases, accounting for 12.4% of all cancer cases worldwide. Furthermore, it represents the most frequently diagnosed cancer among male populations (<xref ref-type="bibr" rid="B2">Bray et al., 2024</xref>). Epidemiological studies have identified tobacco smoking as the primary risk factor for lung cancer pathogenesis, with additional contributions from environmental and occupational exposures, chronic pulmonary diseases, pulmonary infections, and lifestyle factors (<xref ref-type="bibr" rid="B1">Bade and Dela Cruz, 2020</xref>). Lung cancer is histologically classified into small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), with NSCLC comprising approximately 85%&#x2013;90% of all diagnosed cases (<xref ref-type="bibr" rid="B8">Ernani et al., 2017</xref>). For patients with early-stage NSCLC, surgical resection represents the optimal therapeutic approach (<xref ref-type="bibr" rid="B14">Hoy et al., 2019</xref>). However, for the majority of patients with advanced NSCLC, chemotherapy, immune checkpoint inhibitors, and targeted therapies constitute the mainstay of treatment (<xref ref-type="bibr" rid="B22">Li et al., 2023</xref>). The most frequently employed therapeutic regimens include PEB (cisplatin, etoposide, bleomycin), carboplatin monotherapy (AUC 7), PEI (cisplatin, etoposide, ifosfamide), TIP (cisplatin, ifosfamide, paclitaxel), and GOP (gemcitabine, oxaliplatin, paclitaxel). However, these treatment modalities are frequently associated with significant toxicities, including anemia, neutropenia, nausea, vomiting, and diarrhea (<xref ref-type="bibr" rid="B49">Zraik and He&#xdf;-Busch, 2021</xref>). These treatment-related toxicities not only exacerbate patients&#x2019; pain but also contribute to depression and other psychological and social distress. Furthermore, they can compromise the immune system of NSCLC patients and significantly impair their quality of life (<xref ref-type="bibr" rid="B6">De Ruysscher et al., 2020</xref>). Therefore, enhancing immune function is crucial for prolonging survival and improving quality of life in patients with advanced NSCLC.</p>
<p>The most basic theory of TCM in the treatment of NSCLC is regulating the imbalance by &#x201c;strengthening the body&#x201d; and &#x201c;eliminating evil&#x201d; when the body&#x2019;s immunity is too weak and the tumor growth ability is too strong. &#x201c;Strengthening the body&#x201d; means enhancing the body&#x2019;s anti-cancer immunity, while &#x201c; eliminating evil &#x201d; directly inhibits tumor cell growth, proliferation, invasion, and migration (<xref ref-type="bibr" rid="B21">Li et al., 2021</xref>).</p>
<p>Integrated Chinese-Western medicine therapy has demonstrated promising outcomes in the management of NSCLC. This approach enhances sensitivity to chemotherapy and radiotherapy while reducing treatment-related adverse effects, including myelosuppression, nausea, and vomiting, as well as other associated complications. Kang&#x2019;ai Injection (KAI) is a standardized botanical drug preparation approved by the China National Medical Products Administration (NMPA; Approval Number: Z20026868) and manufactured by Changchun Baishan Pharmaceutical Co., Ltd. According to the product specification, it is composed of the following substances: <italic>Panax ginseng</italic> C.A. Mey. [Araliaceae; GINSENG RADIX ET RHIZOMA] (Renshen)&#x3001;<italic>Astragalus membranaceus</italic> (Fisch.) Bunge [Fabaceae; ASTRAGALI RADIX] (Huangqi)&#x3001;<italic>Sophora flavescens</italic> Aiton [Fabaceae; SOPHORAE FLAVESCENTIS RADIX] (Kushen), all plant materials were verified against the Plants of the World Online (POWO) database on 7 November 2025. The sourcing, processing, and production of KAI utilized in this research were conducted in full compliance with the Nagoya Protocol and relevant Chinese plant quarantine regulations (<xref ref-type="bibr" rid="B12">Greiber, 2019</xref>) ts preparation process focuses on the targeted extraction of active components and multi-step purification: In the extraction stage, differentiated protocols are adopted based on the characteristics of different raw materials. For Sophora flavescens (Kushen), 0.5% acetic acid aqueous solution is used as the solvent, and ultrasonic/heating reflux extraction is conducted at 50&#xa0;&#xb0;C&#x2013;80&#xa0;&#xb0;C (1&#x2013;2&#xa0;h per time, repeated 2&#x2013;3 times) to enrich alkaloids such as oxymatrine. For Panax ginseng (Renshen), 50%&#x2013;70% ethanol aqueous solution is employed for heating reflux extraction at 80&#xa0;&#xb0;C&#x2013;85&#xa0;&#xb0;C (1.5&#x2013;2&#xa0;h per time, repeated twice) to obtain saponins including ginsenoside Rg1 and Re. For Astragalus membranaceus (Huangqi), purified water is used at a solid-liquid ratio of 1:10&#x2013;1:12 for decoction at 95&#xa0;&#xb0;C&#x2013;100&#xa0;&#xb0;C (1.5&#x2013;2&#xa0;h per time, repeated twice) to retain saponins such as astragaloside IV. In the purification stage, macromolecular impurities like proteins and polysaccharides are first removed via ethanol precipitation with 70%&#x2013;80% ethanol (standing at 4&#xa0;&#xb0;C for 12&#x2013;24&#xa0;h followed by centrifugation at 8000&#xa0;rpm for 5&#xa0;min). Subsequently, D101/HPD-100 type macroporous resins are used to enrich ginsenosides (from Panax ginseng) and astragalosides (from Astragalus membranaceus) through water elution for impurity removal and 50%&#x2013;70% ethanol elution, while 732 type cation exchange resins are applied to purify alkaloids from Sophora flavescens. Finally, ultrafiltration with a 10&#xa0;kDa ultrafiltration membrane and autoclaving at 121&#xa0;&#xb0;C for 15&#xa0;min are performed to produce a sterile, pyrogen-free intravenous injection, ensuring a high recovery rate of target components throughout the process (<xref ref-type="bibr" rid="B48">Yuan et al., 2017</xref>; <xref ref-type="bibr" rid="B15">Jia et al., 2020</xref>). The combination of botanical drug formulations with chemotherapy has been demonstrated to reduce the toxicity associated with adjunctive chemotherapy (<xref ref-type="bibr" rid="B37">Wang et al., 2020</xref>). In addition to reducing the incidence of adverse reactions, the combination of KAI with platinum-based chemotherapy demonstrates enhanced clinical efficacy and possesses immunomodulatory properties within the tumor microenvironment (<xref ref-type="bibr" rid="B20">Li et al., 2019</xref>). Furthermore, Kang&#x2019;ai injection has been utilized as an adjunctive therapy for various malignancies, demonstrating potential in suppressing hepatocellular carcinoma cell proliferation (<xref ref-type="bibr" rid="B32">Sun et al., 2021</xref>)&#x3001;nasopharyngeal carcinoma cells (<xref ref-type="bibr" rid="B39">Wang et al., 2025</xref>) and colorectal cancer (<xref ref-type="bibr" rid="B10">Gao and Zhang, 2023</xref>) including nausea and vomiting, hepatic impairment, peripheral neurotoxicity, pyrexia, abdominal pain, alopecia, elevated bilirubin levels, and leukopenia induced by conventional therapies. Although KAI has demonstrated the ability to reduce toxic side effects and improve immune function as an adjunctive therapy for advanced NSCLC, current studies regarding its efficacy and safety in cancer treatment exhibit heterogeneity in sample size and research design. Therefore, we conducted this updated meta-analysis in accordance with the PRISMA checklist, aiming to comprehensively evaluate the efficacy and safety of KAI combined with conventional therapy in advanced NSCLC, thereby providing evidence for clinical practice.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2-1">
<label>2.1</label>
<title>Protocols and registration</title>
<p>This systematic review and meta-analysis followed the methodological guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (<xref ref-type="bibr" rid="B27">Page et al., 2021</xref>) to ensure methodological rigor. Moreover, the research protocol was prospectively registered with the International Prospective Register of Systematic Reviews (PROSPERO) under registration number CRD420251168090.</p>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Literature search strategy</title>
<p>A comprehensive literature search was conducted utilizing the following electronic databases from their inception through September 2025: English databases including PubMed, the Cochrane Library, Web of Science, and Embase; Chinese databases including CNKI, Wanfang, VIP, CBM and the CMJD. The search strategy incorporated both Medical Subject Headings (MeSH) and free-text terms to identify all relevant studies. For English databases, the following search strategy was implemented: (Neoplasm [Mesh] OR Lung Neoplasm [Mesh] OR Pulmonary Neoplasms OR Lung Cancer OR NSCLC OR Non-small Cell Lung Cancer) AND (Chemotherapy OR Chemotherapeutics OR Chemical therapy) AND (Kangai injection OR Kangai OR Kang&#x2019;ai). For Chinese databases, the following search strategy was adopted: [Kangai injection] AND [Chemotherapy] AND [Non-small Cell Lung Cancer].</p>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>Inclusion criteria</title>
<p>The inclusion criteria were as follows: (1) Study Type: Randomized Controlled Trial (RCT), which must clearly report the method of random sequence gen1eration (e.g., random number table, computer randomization, etc.), with traceable methodology. (2) Study Subjects: Patients with a histopathological or cytopathological diagnosis of advanced non-small cell lung cancer (NSCLC, TNM stage III-IV). Age and gender are unrestricted, and baseline data (e.g., age, gender, tumor stage) must be complete. (3) Interventions: The experimental group receives Kang&#x2019;ai Injection (KAI) combined with a platinum-based chemotherapy regimen. The control group receives only the same platinum-based chemotherapy regimen as the experimental group. The dosage and treatment cycles of chemotherapeutic drugs are identical for both groups. (4) Outcome Measures: The study must report at least one of the following core outcomes: &#x2460; Immune function indicators (one of CD3<sup>&#x2b;</sup> T cells, CD4<sup>&#x2b;</sup> T cells, CD8<sup>&#x2b;</sup> T cells, CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup> ratio, NK cell percentage); &#x2461; Objective Response Rate (ORR); &#x2462; Chemotherapy-related adverse reactions (one of leukopenia, bone marrow suppression, nausea and vomiting, gastrointestinal reactions). (5) Methodological Quality: Among the methodological quality assessment items for included studies, the three core items &#x201c;random sequence generation,&#x201d; &#x201c;allocation concealment,&#x201d; and &#x201c;selective reporting&#x201d; must not be labeled as &#x201c;high risk.&#x201d; Studies with vague randomization methods or illogical grouping (e.g., grouping by treatment regimen or order of presentation) are excluded. (6) Concomitant Medications: Patients must not be concurrently receiving concomitant medications that may affect immune function or tumor progression, such as PD-1/PD-L1 inhibitors, immunomodulators, or other traditional Chinese medicine injections. Only symptomatic supportive treatments (e.g., antiemetics, fluid replacement, nutritional support) are allowed, and the supportive treatment regimen must be consistent between the two groups.</p>
</sec>
<sec id="s2-4">
<label>2.4</label>
<title>Exclusion criteria</title>
<p>The exclusion criteria were as follows: (1) Non-RCT Studies: Such as cohort studies, case-control studies, cross-sectional studies, animal experiments, <italic>in vitro</italic> cell experiments, etc. (2) Non-Eligible Study Subjects: Patients with non-advanced NSCLC (TNM stage I-II), or those with underlying conditions that may affect outcome assessment, such as other malignant tumors, severe hepatic or renal insufficiency, autoimmune diseases, or severe infections. (3) Non-Compliant Interventions: The experimental group combined other anti-tumor drugs, immunotherapy, radiotherapy, etc.; the control group&#x2019;s chemotherapy regimen differed from that of the experimental group; or the dosage or treatment course of Kang&#x2019;ai Injection was unclear. (4) Missing or Incomplete Outcome Measures: Core immune function indicators, ORR, or adverse reaction data were not reported, or effective statistics (e.g., mean, standard deviation, sample size, effect size, etc.) could not be extracted. (5) Serious Methodological Flaws: Clearly identified as having a &#x201c;high risk&#x201d; of bias (e.g., incorrect random sequence generation, selective outcome reporting, data fabrication, etc.); duplicate publications (the study with the larger sample size and more complete data will be prioritized for inclusion). (6) Interference from Concomitant Medications: Patients received immune-related drugs during treatment (e.g., PD-1/PD-L1 inhibitors, CTLA-4 inhibitors, immunoglobulins, cytokines) or concurrently used other traditional Chinese medicine compounds or Chinese patent medicines with anti-tumor effects, which may interfere with outcome judgment. (7) Non-Eligible Publication Types: Non-original research such as reviews, meta-analyses, case reports, conference abstracts, or dissertations (unpublished and with data not publicly verified). Studies meeting any of the above criteria will be manually excluded.</p>
</sec>
<sec id="s2-5">
<label>2.5</label>
<title>Outcome measures</title>
<p>The primary outcome measures were objective response rate (ORR) and immune function indicators, while the secondary outcomes included adverse reactions, cytokines, and tumor markers: &#x2460; The objective response rate was determined in accordance with the World Health Organization (WHO) Response Evaluation Criteria in Solid Tumors (RECIST). RECIST classifies tumor response into complete response (CR), partial response (PR), stable disease (SD), and progressive disease (PD). he calculation formula is: ORR &#x3d; (CR &#x2b; PR)/Total number of cases &#xd7; 100%. &#x2461; Immune function indicators included peripheral blood T lymphocyte subsets (CD3<sup>&#x2b;</sup>, CD4<sup>&#x2b;</sup>, CD8<sup>&#x2b;</sup>, CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>) and natural killer (NK) cell ratio. &#x2462; Adverse reactions were classified into grades 0-IV based on the acute and subacute toxicity grading criteria specified by the WHO, with grades II-IV considered as the presence of adverse reactions. The outcomes of adverse reactions included leukocyte toxicity, nausea and vomiting toxicity, myelosuppression toxicity, and gastrointestinal reaction toxicity. &#x2463; Cytokine outcomes included the level of vascular endothelial growth factor (VEGF), which is used to assess tumor angiogenesis activity; tumor marker outcomes included carcinoembryonic antigen (CEA), which is used to evaluate tumor burden and treatment response.</p>
</sec>
<sec id="s2-6">
<label>2.6</label>
<title>Data extraction and quality assessment</title>
<p>Two researchers independently screened and summarized the collected literature, extracted relevant information, and then conducted cross-verification. Any discrepancies were resolved through discussion or with the assistance of a third researcher. The extracted content included: &#x2460; title, first author, and year of publication; &#x2461; number of patients, age, gender, and TNM staging in the experimental group and control group; &#x2462; specific intervention measures, outcome indicators, etc. The two researchers also assessed the methodological quality of all randomized controlled trials (RCTs) in accordance with the risk of bias criteria outlined in the Cochrane Handbook Version 6.2. The assessment items included: random sequence generation, allocation concealment, blinding, incomplete data assessment, selective outcome reporting, and other potential biases. Each of these items was evaluated using one of three responses: &#x201c;Yes&#x201d;, &#x201c;No&#x201d;, or &#x201c;Unclear&#x201d;. In addition, the two researchers applied the GRADE ProGuideline Development Tool based on the published protocol (<xref ref-type="bibr" rid="B34">Terracciano et al., 2010</xref>) to assess the quality of each outcome. The evidence quality assessment is categorized into four levels: high quality (High), moderate quality (Moderate), low quality (Low), and very low quality (Very Low).</p>
</sec>
<sec id="s2-7">
<label>2.7</label>
<title>Statistical analysis</title>
<p>For the meta-analysis, RevMan 5.3 software (Cochrane Collaboration) and Stata 18.0 software were used. Relative Risk (RR) was applied for dichotomous variables, while Mean Difference (MD) was used for continuous variables. Both were calculated with a 95% Confidence Interval (CI). I<sup>2</sup> statistic was employed to quantitatively assess heterogeneity. I<sup>2</sup> &#x3e; 50%, heterogeneity was considered high, and a random-effects model was adopted. I<sup>2</sup> &#x3c; 50%, heterogeneity was deemed low, and a fixed-effects model was used. When the meta-analysis included more than 10 studies, a funnel plot was used to evaluate publication bias. Additionally, Egger&#x2019;s test was performed using Stata 18.0 software to assess the asymmetry of the funnel plot. Trial sequential analysis (TSA) was performed using TSA software version 0.9.5.10 Beta to evaluate the robustness of the findings and calculate the required information size for definitive conclusions.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<sec id="s3-1">
<label>3.1</label>
<title>Retrieval results</title>
<p>A total of 692 studies were initially identified, of which 14 met the predefined inclusion criteria as illustrated in <xref ref-type="fig" rid="F1">Figure 1</xref> (<xref ref-type="bibr" rid="B3">Chen, 2014</xref>; <xref ref-type="bibr" rid="B24">Ma, 2017</xref>; <xref ref-type="bibr" rid="B35">Wang, 2017</xref>; <xref ref-type="bibr" rid="B9">Gao, 2018</xref>; <xref ref-type="bibr" rid="B16">Jiang et al., 2018</xref>; <xref ref-type="bibr" rid="B7">Dong et al., 2019</xref>; <xref ref-type="bibr" rid="B33">Tang, 2019</xref>; <xref ref-type="bibr" rid="B45">Xing, 2020</xref>; <xref ref-type="bibr" rid="B40">Wu, 2021</xref>; <xref ref-type="bibr" rid="B5">Cheng, 2022</xref>; <xref ref-type="bibr" rid="B41">Wu et al., 2022a</xref>; <xref ref-type="bibr" rid="B46">Xue et al., 2022</xref>; <xref ref-type="bibr" rid="B11">Gong et al., 2024</xref>; <xref ref-type="bibr" rid="B26">Nie and Xiong, 2025</xref>). Based on the predetermined inclusion and exclusion criteria, a total of 1,214 patients were ultimately included in the final analysis.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flowchart of literature search and screening.</p>
</caption>
<graphic xlink:href="fphar-17-1743226-g001.tif">
<alt-text content-type="machine-generated">Flowchart detailing the identification and screening process for a meta-analysis. Initially, 692 records were identified through database searches. After removing duplicates, 397 records were screened. Records excluded totaled 362 for reasons like not being randomized controlled trials, animal experiments, literature reviews, meta-analysis articles, or not original text. Thirty-five full-text articles were assessed, and 21 were excluded due to factors like combined interventions, incomplete data, or irrelevance. Fourteen studies were included in both the qualitative synthesis and meta-analysis.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Characteristics included in the study</title>
<p>
<xref ref-type="table" rid="T1">Tables 1</xref>,<xref ref-type="table" rid="T2">2</xref> list all the baseline characteristics of the included studies, including author, publication year, number of cases, TMN stage, gender, age, details of intervention, treatment duration, and outcomes. All studies were conducted in China, with publication years ranging from 2014 to 2025. A total of 14 randomized controlled trials were included, enrolling 1,214 patients, with 634 in the experimental group and 580 in the control group. All included non-small cell lung cancer cases were at TNM stage III-IV. The control group received first-line platinum-based chemotherapy regimens, including NP, GP, PC, Bev &#x2b; PEM &#x2b; DDP, TP, DP &#x2b; Bev, PF, TP, and DDP. The intervention in the treatment group was the combination of KAI (intravenous drip, once daily, 10&#x2013;60&#xa0;mL, with at least 10 days as one course) on the basis of the control group. The study results showed that all studies reported ORR and immune function indicators. Among them, 13 studies reported CD3<sup>&#x2b;</sup>, 14 studies reported CD4<sup>&#x2b;</sup>, 12 studies reported CD8<sup>&#x2b;</sup>, 14 studies reported CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>, 4 studies reported NK cell percentage, 5 studies reported data on CEA,6 studies reported leukotoxicity, 8 studies reported myelosuppression toxicity, 6 studies reported nausea and vomiting toxicity, and 5 studies reported gastrointestinal reaction toxicity.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline characteristics of the included studies.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Study</th>
<th align="center">Cases</th>
<th align="center">Stage</th>
<th colspan="2" align="center">Gender (M/F)</th>
<th colspan="2" align="center">Age/Y</th>
<th colspan="2" align="center">Intervention</th>
<th align="center">No.</th>
<th align="left">Outcome</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x200b;</td>
<td align="center">T/C</td>
<td align="left">&#x200b;</td>
<td align="center">T</td>
<td align="center">C</td>
<td align="center">T</td>
<td align="center">C</td>
<td align="center">T</td>
<td align="center">C</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B3">Chen. (2014)</xref>
</td>
<td align="center">41/42</td>
<td align="center">III<sub>a</sub>-IV</td>
<td align="center">28/13</td>
<td align="center">25/17</td>
<td align="center">62.4 &#xb1; 10.5</td>
<td align="center">61.9 &#xb1; 10.7</td>
<td align="center">KAI &#x2b; NP (40&#xa0;mL/d,d1-d21)</td>
<td align="center">NP</td>
<td align="center">2</td>
<td align="left">&#x2460;&#x2461;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B5">Cheng. (2022)</xref>
</td>
<td align="center">44/44</td>
<td align="center">III<sub>b</sub>-IV</td>
<td align="center">25/19</td>
<td align="center">27/19</td>
<td align="center">40&#x2013;75 (57.13 &#xb1; 6.15)</td>
<td align="center">40&#x2013;73 (56.89 &#xb1; 5.94)</td>
<td align="center">KAI &#x2b; GP (40&#xa0;mL/d,d1-d21)</td>
<td align="center">GP</td>
<td align="center">2</td>
<td align="left">&#x2460;&#x2461;&#x2464;&#x2465;&#x2466;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B7">Dong et al. (2019)</xref>
</td>
<td align="center">56/56</td>
<td align="center">III<sub>a</sub>-IV</td>
<td align="center">35/21</td>
<td align="center">37/19</td>
<td align="center">66.12 &#xb1; 3.45</td>
<td align="center">65.74 &#xb1; 3.52</td>
<td align="center">KAI &#x2b; GP (40&#xa0;mL/d,d1-d14)</td>
<td align="center">GP</td>
<td align="center">4</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B9">Gao (2018)</xref>
</td>
<td align="center">29/29</td>
<td align="center">III<sub>b</sub>-IV</td>
<td align="center">17/12</td>
<td align="center">17/12</td>
<td align="center">34&#x2013;77 (53.82 &#xb1; 7.65)</td>
<td align="center">34&#x2013;76 (54.15 &#xb1; 7.26)</td>
<td align="center">KAI &#x2b; PC (40&#xa0;mL/d,d1-d21)</td>
<td align="center">PC</td>
<td align="center">2</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2464;&#x2465;&#x2467;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B11">Gong et al. (2024)</xref>
</td>
<td align="center">30/30</td>
<td align="center">III-IV</td>
<td align="center">19/11</td>
<td align="center">18/12</td>
<td align="center">38&#x2013;76 (45.89 &#xb1; 5.12)</td>
<td align="center">36&#x2013;77 (45.65 &#xb1; 5.65)</td>
<td align="center">KAI &#x2b; Bev &#x2b; PEM &#x2b; DDP (10&#xa0;mL/d,d1-d21)</td>
<td align="center">Bev &#x2b; PEM &#x2b; DDP</td>
<td align="center">2</td>
<td align="left">&#x2460;&#x2461;&#x2464;&#x2467;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B16">Jiang et al. (2018)</xref>
</td>
<td align="center">43/42</td>
<td align="center">III<sub>b</sub>-IV</td>
<td align="center">26/17</td>
<td align="center">26/16</td>
<td align="center">58.85 &#xb1; 10.16</td>
<td align="center">58.34 &#xb1; 10.42</td>
<td align="center">KAI &#x2b; GP (50&#xa0;mL/d,d1-d14)</td>
<td align="center">GP</td>
<td align="center">4</td>
<td align="left">&#x2460;&#x2461;&#x2464;&#x2466;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B24">Ma. (2017)</xref>
</td>
<td align="center">40/42</td>
<td align="center">III<sub>a</sub>-IV</td>
<td align="center">26/14</td>
<td align="center">27/15</td>
<td align="center">48&#x2013;77 (57.08 &#xb1; 6.43)</td>
<td align="center">46&#x2013;75 (57.43 &#xb1; 6.76)</td>
<td align="center">KAI &#x2b; TP (40&#xa0;mL/d,d1-d21)</td>
<td align="center">TP</td>
<td align="center">4</td>
<td align="left">&#x2460;&#x2461;&#x2463;&#x2465;&#x2467;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B26">Nie and Xiong. (2025)</xref>
</td>
<td align="center">44/44</td>
<td align="center">III-IV</td>
<td align="center">29/15</td>
<td align="center">27/17</td>
<td align="center">60.86 &#xb1; 6.27</td>
<td align="center">60.41 &#xb1; 6.18</td>
<td align="center">KAI &#x2b; TP (60&#xa0;mL/d,d1-d21)</td>
<td align="center">TP</td>
<td align="center">3</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2465;&#x2467;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B33">Tang. (2019)</xref>
</td>
<td align="center">32/28</td>
<td align="center">III<sub>b</sub>-IV</td>
<td align="center">20/12</td>
<td align="center">18/10</td>
<td align="center">46&#x2013;76 (60.98 &#xb1; 5.35)</td>
<td align="center">47&#x2013;77 (61.56 &#xb1; 6.43)</td>
<td align="center">KAI &#x2b; DP &#x2b; Bev (50&#xa0;mL/d,d1-d21)</td>
<td align="center">DP &#x2b; Bev</td>
<td align="center">2</td>
<td align="left">&#x2460;&#x2461;&#x2463;&#x2465;&#x2466;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B35">Wang (2017)</xref>
</td>
<td align="center">38/38</td>
<td align="center">IV</td>
<td align="center">26/12</td>
<td align="center">28/10</td>
<td align="center">22&#x2013;73 (56.9 &#xb1; 14.1)</td>
<td align="center">21&#x2013;74 (57.2 &#xb1; 14.4)</td>
<td align="center">KAI &#x2b; PF (40&#xa0;mL/d,d1-d21)</td>
<td align="center">PF</td>
<td align="center">1</td>
<td align="left">&#x2460;&#x2461;&#x2465;&#x2466;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B42">Wu et al. (2022b)</xref>
</td>
<td align="center">50/50</td>
<td align="center">III-IV</td>
<td align="center">31/19</td>
<td align="center">29/21</td>
<td align="center">66.08 &#xb1; 4.03</td>
<td align="center">65.17 &#xb1; 3.20</td>
<td align="center">KAI &#x2b; TP (60&#xa0;mL/d,d1-d21)</td>
<td align="center">TP</td>
<td align="center">2</td>
<td align="left">&#x2460;&#x2461;&#x2463;&#x2464;&#x2465;&#x2467;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B40">Wu (2021)</xref>
</td>
<td align="center">37/35</td>
<td align="center">III<sub>b</sub>-IV</td>
<td align="center">21/16</td>
<td align="center">23/12</td>
<td align="center">41&#x2013;88 (62.6 &#xb1; 5.7)</td>
<td align="center">40&#x2013;86 (62.8 &#xb1; 5.5)</td>
<td align="center">KAI &#x2b; GP (50&#xa0;mL/d,d1-d14)</td>
<td align="center">GP</td>
<td align="center">4</td>
<td align="left">&#x2460;&#x2461;&#x2464;&#x2466;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B45">Xing (2020)</xref>
</td>
<td align="center">50/50</td>
<td align="center">III<sub>a</sub>-IV</td>
<td align="center">26/24</td>
<td align="center">3/27</td>
<td align="center">38&#x2013;73 (57.3 &#xb1; 5.8)</td>
<td align="center">37&#x2013;72 (57.0 &#xb1; 6.3)</td>
<td align="center">KAI &#x2b; DDP (50&#xa0;mL/d,d1-d10)</td>
<td align="center">DDP</td>
<td align="center">2</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2463;</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B46">Xue et al. (2022)</xref>
</td>
<td align="center">100/50</td>
<td align="center">III<sub>a</sub>-IV</td>
<td align="center">67/33</td>
<td align="center">32/18</td>
<td align="center">65&#x2013;81 (60.27 &#xb1; 3.95)</td>
<td align="center">64&#x2013;83 (61.31 &#xb1; 4.07)</td>
<td align="center">KAI &#x2b; GP (40&#xa0;mL/d,d1-d14)</td>
<td align="center">GP</td>
<td align="center">4</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2463;&#x2465;&#x2466;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>KAI, Kang&#x2019;ai injection; T, treatment; C, control; M, male; F, female; Y, year; No, Number of KAI, cycles. NP, Vinorelbine &#x2b; Platinum; GP, Gemcitabine &#x2b; Platinum; PC, Pemetrexed &#x2b; Cisplatin; Bev &#x2b; PEM &#x2b; DDP, Bevacizuma &#x2b; Pemetrexed &#x2b; Cisplatin; TP, Paclitaxel &#x2b; Cisplatin; DP &#x2b; Bev, Docetaxel &#x2b; Cisplatin &#x2b; Bevacizumab; PF, Cisplatin &#x2b; Fluorouracil; TP, Paclitaxel &#x2b; Cisplatin; DDP, cisplatin; &#x2460;ORR; &#x2461;Immune function; &#x2462;CEA; &#x2463;VEGF; &#x2464; Leukocytotoxicity&#x2465; Myelosuppressive toxicity&#x2466; Nausea and vomiting toxicity&#x2467; Gastrointestinal reaction toxicity.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Specific immune function indicators of the included studies.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Study</th>
<th align="left">Immune function</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<xref ref-type="bibr" rid="B3">Chen. (2014)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD8<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B5">Cheng. (2022)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD8<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>&#x3001;NK</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B7">Dong et al. (2019)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD8<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B9">Gao. (2018)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD8<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B11">Gong et al. (2024)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B16">Jiang et al. (2018)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>&#x3001;NK</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B24">Ma. (2017)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8&#x2b;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B26">Nie and Xiong. (2025)</xref>
</td>
<td align="left">CD4<sup>&#x2b;</sup>&#x3001;CD8<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B33">Tang. (2019)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD8<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B35">Wang. (2017)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD8<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>&#x3001;NK</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B42">Wu et al. (2022b)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD8<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B40">Wu. (2021)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD8<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>&#x3001;NK</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B45">Xing. (2020)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD8<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B46">Xue et al. (2022)</xref>
</td>
<td align="left">CD3<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>&#x3001;CD8<sup>&#x2b;</sup>&#x3001;CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>Methodological quality assessment</title>
<p>Eight studies using a table of random numbers were rated as &#x2018;low risk&#x2019;. Six studies mentioned the term &#x2018;random&#x2019; but did not specify the exact method, and even after contacting by email, it remained unclear, so they were rated as &#x2018;unclear&#x2019;. Three studies used incorrect random sequence generation, such as grouping according to treatment plans. In 14 studies, it was not possible to determine whether allocation concealment was used, so they were rated as &#x2018;unclear&#x2019;. No study mentioned a &#x2018;blinding&#x2019; strategy, so they were rated as &#x2018;unclear&#x2019;. No study reported participant dropout, so they were rated as &#x2018;low risk&#x2019;. No study mentioned selective reporting, so they were rated as &#x2018;low risk&#x2019;. In all studies, it could not be determined whether there were other biases, so they were all rated as &#x2018;unclear&#x2019; (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Bias chart of the included studies.</p>
</caption>
<graphic xlink:href="fphar-17-1743226-g002.tif">
<alt-text content-type="machine-generated">Bar and table visualizations assess risk of bias in studies. The bar chart shows biases like selection, performance, detection, attrition, reporting, and other biases. Colors indicate risk levels: green is low, yellow is unclear, red is high. The table matches studies to these biases, using colored circles (green, yellow, red) to categorize the risk level.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4">
<label>3.4</label>
<title>Outcome indicators</title>
<sec id="s3-4-1">
<label>3.4.1</label>
<title>Objective response rate (ORR)</title>
<p>Thirteen studies (n &#x3d; 1,138) reported ORR. Heterogeneity analysis indicated an I<sup>2</sup> &#x3d; 43% (P &#x3d; 0.05), and a fixed-effect model was employed. The results showed that the ORR in the KAI combined with chemotherapy group was significantly higher than that in the chemotherapy-alone group [RR &#x3d; 1.43, 95% CI (1.28, 1.60), P &#x3c; 0.00001] (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Meta-analysis of objective response rate (ORR).</p>
</caption>
<graphic xlink:href="fphar-17-1743226-g003.tif">
<alt-text content-type="machine-generated">Forest plot showing a meta-analysis of studies comparing Chemotherapy with Chemotherapy plus KAI. Each study lists its events, total participants, and weight percentage. Risk ratios with 95% confidence intervals are plotted on a log scale. The summary effect size is 1.43 with heterogeneity indicated by Chi&#xB2; = 20.94, P = 0.05, and I&#xB2; = 43%.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4-2">
<label>3.4.2</label>
<title>Immune function indicators</title>
<p>Thirteen studies (n &#x3d; 1,126) analyzed CD3<sup>&#x2b;</sup> T cells, fourteen studies (n &#x3d; 1,214) analyzed CD4<sup>&#x2b;</sup> T cells and the CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup> ratio, twelve studies (n &#x3d; 1,071) analyzed CD8<sup>&#x2b;</sup> T cells, and four studies (n &#x3d; 321) analyzed NK cells. High heterogeneity was present for all analyses (I<sup>2</sup> &#x3d; 95%&#x2013;98%, P &#x3c; 0.00001), and a random-effects model was employed. The results showed that the combination therapy group had significantly increased proportions of CD3<sup>&#x2b;</sup> and CD4<sup>&#x2b;</sup> T cells, a higher CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup> ratio, and a higher percentage of NK cells (MD &#x3d; 10.57, 7.23, 0.38 and 5.84, respectively; 95% CIs did not cross 0; P &#x3c; 0.00001 for all). The proportion of CD8<sup>&#x2b;</sup> T cells was significantly decreased [MD &#x3d; &#x2212;5.33, 95% CI (&#x2212;7.29, &#x2212;3.38), P &#x3c; 0.00001] (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>
<bold>(A)</bold> meta-analysis of CD3<sup>&#x2b;</sup>. <bold>(B)</bold> Meta-analysis of CD4<sup>&#x2b;</sup>. <bold>(C)</bold> Meta-analysis of CD8<sup>&#x2b;</sup>. <bold>(D)</bold> meta-analysis of CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>. <bold>(E)</bold> meta-analysis of NK.</p>
</caption>
<graphic xlink:href="fphar-17-1743226-g004.tif">
<alt-text content-type="machine-generated">Forest plots showing meta-analysis results from various studies comparing chemotherapy with and without KAI. Panels A to E detail outcomes like mean differences, confidence intervals, and weights for studies by Chen, Cheng, Dong, Gao, etc. Graphs illustrate significant differences favoring chemotherapy plus KAI, with overall effects summarized by diamonds. Heterogeneity statistics are provided for each panel.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4-3">
<label>3.4.3</label>
<title>Tumor markers and cytokines</title>
<p>Five studies (n &#x3d; 508) analyzed CEA (I<sup>2</sup> &#x3d; 99%, P &#x3c; 0.00001) and six studies (n &#x3d; 604) analyzed VEGF (I<sup>2</sup> &#x3d; 33%, P &#x3d; 0.19). The levels of both CEA [MD &#x3d; &#x2212;2.56, 95% CI (&#x2212;4.05, &#x2212;1.07), P &#x3d; 0.0008] and VEGF [MD &#x3d; &#x2212;34.43, 95% CI (&#x2212;39.29, &#x2212;29.57), P &#x3c; 0.00001] were significantly lower in the combination therapy group compared to the chemotherapy-alone group (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>
<bold>(A)</bold> meta-analysis of CEA. <bold>(B)</bold> Meta-analysis of VEGF.</p>
</caption>
<graphic xlink:href="fphar-17-1743226-g005.tif">
<alt-text content-type="machine-generated">Panels A and B show forest plots comparing chemotherapy with chemotherapy plus KAI. Each study is listed with means, standard deviations, and total participants for both groups. Mean differences and confidence intervals are depicted graphically. Both panels show overall heterogeneity statistics and test results for the overall effect, with similar values indicating significant differences favoring chemotherapy plus KAI.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4-4">
<label>3.4.4</label>
<title>Reduction of toxicity</title>
<p>Six studies (n &#x3d; 463) reported data on leukopenia (I<sup>2</sup> &#x3d; 0%, P &#x3d; 0.96), eight studies (n &#x3d; 702) reported on myelosuppression (I<sup>2</sup> &#x3d; 0%, P &#x3d; 0.80), six studies (n &#x3d; 531) reported on nausea/vomiting (I<sup>2</sup> &#x3d; 0%, P &#x3d; 0.54), and five studies (n &#x3d; 388) reported on gastrointestinal reactions (I<sup>2</sup> &#x3d; 17%, P &#x3d; 0.31). A fixed-effect model was used for all analyses. The combination therapy group showed a significantly lower incidence of the aforementioned adverse reactions (RR &#x3d; 0.40, 0.46, 0.51 and 0.62, respectively; 95% CIs did not include 1; P &#x3c; 0.05 for all) (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>
<bold>(A)</bold> Meta-analysis of leukopenia. <bold>(B)</bold> Meta-analysis of bone marrow suppression. <bold>(C)</bold> Meta-analysis of nausea and vomiting. <bold>(D)</bold> Meta-analysis of gastrointestinal reactions.</p>
</caption>
<graphic xlink:href="fphar-17-1743226-g006.tif">
<alt-text content-type="machine-generated">Four forest plots (A, B, C, D) depict risk ratios comparing chemotherapy plus KAI to chemotherapy alone across different studies. Each plot shows subgroup events, total participants, weight, and risk ratios with confidence intervals. Diamonds illustrate overall effects. Heterogeneity statistics and overall effect tests are included.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s3-5">
<label>3.5</label>
<title>Publication bias</title>
<p>Publication bias in studies reporting ORR was analyzed using funnel plots and Egger&#x2019;s test. The funnel plot showed an asymmetric distribution, suggesting potential publication bias (<xref ref-type="fig" rid="F7">Figure 7A</xref>). Therefore, Egger&#x2019;s test was conducted for quantitative analysis (t &#x3d; 0.42, 95%CI: &#x2212;2.11027 to 3.09185, P &#x3d; 0.686), and the results indicated no publication bias (<xref ref-type="fig" rid="F7">Figure 7B</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>
<bold>(A)</bold> Funnel plot of ORR. <bold>(B)</bold> Egger&#x2019;s publication bias assessment plot.</p>
</caption>
<graphic xlink:href="fphar-17-1743226-g007.tif">
<alt-text content-type="machine-generated">Panel A shows a funnel plot with open circles representing study points distributed around a vertical line labeled RR. Dashed lines form a triangle around the points. Panel B is a scatter plot with blue dots showing study data, a red regression line, and a dashed line at zero. The horizontal axis is labeled Precision, and the vertical axis is labeled SND of effect estimate. A red line indicates the 95% confidence interval for the intercept.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-6">
<label>3.6</label>
<title>Sensitivity analysis</title>
<p>As shown in <xref ref-type="fig" rid="F8">Figure 8</xref>, the pooled MD of CD3<sup>&#x2b;</sup>, CD4<sup>&#x2b;</sup>, CD8<sup>&#x2b;</sup>, CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>, NK cells, and ORR in the included studies was not significantly affected, and the 95% confidence interval (95%CI) did not cross the invalid line, indicating that the results were relatively stable.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Sensitivity analysis. <bold>(A)</bold> (CD3<sup>&#x2b;</sup>). <bold>(B)</bold> (CD4<sup>&#x2b;</sup>). <bold>(C)</bold> (CD8<sup>&#x2b;</sup>). <bold>(D)</bold> (CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>). <bold>(E)</bold> (NK). <bold>(F)</bold> (ORR).</p>
</caption>
<graphic xlink:href="fphar-17-1743226-g008.tif">
<alt-text content-type="machine-generated">Six forest plots (A to F) each visualize meta-analysis estimates when specific studies are omitted. Each plot includes points and error bars representing the lower confidence interval, estimate, and upper confidence interval, with studies listed on the y-axis. Differences are noted in estimate ranges and confidence intervals across panels A, B, C, D, E, and F.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-7">
<label>3.7</label>
<title>Subgroup analysis</title>
<p>Subgroup analyses were performed for the ORR and CD4<sup>&#x2b;</sup> level, with stratification factors including KAI dosage (40&#xa0;mL vs. 50&#xa0;mL) and chemotherapy regimen (GP vs. TP). The results (<xref ref-type="fig" rid="F9">Figure 9</xref>) showed that KAI combined with chemotherapy significantly improved ORR in all subgroups, with low heterogeneity within each subgroup. Tests for subgroup differences revealed no statistical heterogeneity between the two dosages, confirming the consistent efficacy of KAI in enhancing ORR at both 40&#xa0;mL and 50&#xa0;mL doses. In the GP and TP subgroups, ORR was also significantly improved with low within-subgroup heterogeneity. Additionally, subgroup difference tests indicated no statistical heterogeneity between the GP and TP regimens, suggesting consistent synergistic effects of KAI with both chemotherapy regimens in improving ORR. We speculate that this may be related to differences in baseline characteristics of included patients or treatment details.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Subgroup analyses. <bold>(A)</bold> Dosage subgroup analysis of objective response rate (ORR); <bold>(B)</bold> Dosage subgroup analysis of CD4<sup>&#x2b;</sup>; <bold>(C)</bold> ORR subgroup analysis by GP and TP regimens; <bold>(D)</bold> CD4<sup>&#x2b;</sup>subgroup analysis by GP and TP regimens.</p>
</caption>
<graphic xlink:href="fphar-17-1743226-g009.tif">
<alt-text content-type="machine-generated">Four forest plots labeled A, B, C, and D compare chemotherapy alone and chemotherapy with KAI. Panels A and B show mean differences with 95% confidence intervals for 40ml and 50ml subgroups. Panels C and D illustrate odds ratios for GP and TP subgroups, respectively. Each plot includes individual studies with total, mean, standard deviation, and weight values, along with overall effect sizes indicated by diamonds. Heterogeneity and test statistics are provided for each subgroup and overall analysis.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-8">
<label>3.8</label>
<title>Trial sequential analysis</title>
<p>The TSA boundaries were used to assess the true effects of ORR and CD4<sup>&#x2b;</sup> and calculate the required sample size. For ORR, the type I error rate was set at 5%, the type II error rate at 20%, the relative risk reduction at 35%, and the incidence in the control group at 3%. For CD4<sup>&#x2b;</sup>, the type I error rate was defined as 5%, and the power was set at 80%. The blue lines represent the TSA boundaries for ORR and CD4<sup>&#x2b;</sup>. As shown in <xref ref-type="fig" rid="F10">Figure 10</xref>, neither the cumulative Z boundary (blue line) nor the TSA boundary for CD4<sup>&#x2b;</sup> (blue line) exceeded the traditional Z boundary (green line) and the trial sequential monitoring boundary (red line), with the required sample size indicated by the vertical red line. The results showed that the total sample size included in this study met the requirements for meta-analysis, and the possibility of false positives could be excluded (<xref ref-type="fig" rid="F10">Figure 10</xref>).</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Trial sequential analysis. <bold>(A)</bold> ORR. <bold>(B)</bold> CD4<sup>&#x2b;</sup>.</p>
</caption>
<graphic xlink:href="fphar-17-1743226-g010.tif">
<alt-text content-type="machine-generated">Two cumulative Z-score graphs labeled A and B depict clinical trial results. Both show Z-scores on the y-axis, favoring the control group at positive values and the experimental group at negative values. The x-axis represents the number of patients. Graph A has key points marked at 90% (171) and 99% (323) significance levels. Graph B highlights 90% (382) and 99% (655) points. Lines depicting trends show observed data favoring different groups over patient numbers. The Z-curves are drawn in blue.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-9">
<label>3.9</label>
<title>Quality of evidence</title>
<p>GRADE PRO GDT was used to assess the quality of all outcomes from five aspects, including risk of bias, inconsistency, indirectness, imprecision, and other considerations. The included studies had some deficiencies in randomization, allocation concealment, and blinding, and were rated as having a low level of risk of bias. The final results showed that four outcomes were of moderate quality and ten outcomes were of low quality, as shown in <xref ref-type="table" rid="T3">Tables 3</xref>,<xref ref-type="table" rid="T4">4</xref>.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Summary of GRADE evidence for clinical efficacy and safety.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Outcomes (trials)</th>
<th colspan="5" align="left">Quality assessment</th>
<th colspan="2" align="left">Stage III/IV NSCLC</th>
<th colspan="2" align="left">Clinical efficacy and safety</th>
<th align="left">Quality</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x200b;</td>
<td align="left">Risk of bias</td>
<td align="left">Inconsistency</td>
<td align="left">Indirectness</td>
<td align="left">Imprecision</td>
<td align="left">Publication bias</td>
<td align="left">KAI &#x2b; C</td>
<td align="left">C</td>
<td align="left">Relative ratio (95%CI)</td>
<td align="left">Absolute (95%CI)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">ORR (13)</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">None</td>
<td align="left">373/596 (62.6%)</td>
<td align="left">236/54 (43.4%)</td>
<td align="left">1.43 (1.28,1.60)</td>
<td align="left">187 more per 1,000 (from 122 more to 260 more)</td>
<td align="left">&#x2295;&#x2295;&#x2295;&#x25cb;<break/>Moderate</td>
</tr>
<tr>
<td align="left">Leukocytotoxicity (6)</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">None</td>
<td align="left">19/233 (8.2%)</td>
<td align="left">47/230 (20.4%)</td>
<td align="left">0.40 (0.25,0.63)</td>
<td align="left">122 fewer per 1,000 (from 153 more to 75 more)</td>
<td align="left">&#x2295;&#x2295;&#x25cb;&#x25cb; low</td>
</tr>
<tr>
<td align="left">Myelosuppressive toxicity (8)</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">None</td>
<td align="left">20/377 (5.3%</td>
<td align="left">38/325 (11.7%)</td>
<td align="left">0.64 (0.27,0.78)</td>
<td align="left">63 fewer per 1,000 (from 85 more to 26 more)</td>
<td align="left">&#x2295;&#x2295;&#x2295;&#x25cb;<break/>Moderate</td>
</tr>
<tr>
<td align="left">Nausea and vomiting toxicity (6)</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">None</td>
<td align="left">56/294 (19.0%)</td>
<td align="left">76/237 (32.1%)</td>
<td align="left">0.51 (0.38,0.68)</td>
<td align="left">157 fewer per 1,000 (from 199 more to 103 more)</td>
<td align="left">&#x2295;&#x2295;&#x2295;&#x25cb;<break/>Moderate</td>
</tr>
<tr>
<td align="left">Gastrointestinal reaction toxicity (5)</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">None</td>
<td align="left">28/193 (14.5%)</td>
<td align="left">46/195 (23.6%)</td>
<td align="left">0.62 (0.41,0.94)</td>
<td align="left">90 fewer per 1,000 (from 139 more to 14 more)</td>
<td align="left">&#x2295;&#x2295;&#x2295;&#x25cb;<break/>Moderate</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ORR, objective response rate; CI, confidence intervals; KAI, Kang&#x2019;ai injection; C, control.</p>
</fn>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>The included studies have certain defects in randomization, allocation concealment and blinding.</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>The included studies are highly heterogeneous.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Summary of GRADE evidence for immune indicators and tumor markers.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Indicators (Trials)</th>
<th colspan="5" align="left">Quality assessment</th>
<th colspan="2" align="left">Stage III/IV NSCLC</th>
<th colspan="2" align="left">Clinical efficacy and safety</th>
<th align="left">Quality</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x200b;</td>
<td align="left">Risk of bias</td>
<td align="left">Inconsistency</td>
<td align="left">Indirectness</td>
<td align="left">Imprecision</td>
<td align="left">Publication bias</td>
<td align="left">KAI &#x2b; C</td>
<td align="left">C</td>
<td align="left">Relative ratio (95%CI)</td>
<td align="left">WMD (95%CI)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">CD3<sup>&#x2b;</sup>(13)</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">None</td>
<td align="left">590</td>
<td align="left">536</td>
<td align="left">No</td>
<td align="left">10.57 higher (7.03&#x2013;14.10 higher)</td>
<td align="left">&#x2295;&#x2295;&#x25cb;&#x25cb; low</td>
</tr>
<tr>
<td align="left">CD4<sup>&#x2b;</sup>(14)</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">None</td>
<td align="left">634</td>
<td align="left">580</td>
<td align="left">No</td>
<td align="left">7.23 higher (4.20&#x2013;10.27 higher)</td>
<td align="left">&#x2295;&#x2295;&#x25cb;&#x25cb; low</td>
</tr>
<tr>
<td align="left">CD8<sup>&#x2b;</sup>(12)</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">None</td>
<td align="left">564</td>
<td align="left">507</td>
<td align="left">No</td>
<td align="left">5.33 lower (7.29&#x2013;3.38 lower)</td>
<td align="left">&#x2295;&#x2295;&#x2295;&#x25cb; low</td>
</tr>
<tr>
<td align="left">CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup>(14)</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">None</td>
<td align="left">634</td>
<td align="left">580</td>
<td align="left">No</td>
<td align="left">0.38 higher (0.26&#x2013;0.51 higher)</td>
<td align="left">&#x2295;&#x2295;&#x25cb;&#x25cb; low</td>
</tr>
<tr>
<td align="left">NK (4)</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">None</td>
<td align="left">162</td>
<td align="left">159</td>
<td align="left">No</td>
<td align="left">5.84 higher (3.77&#x2013;7.90 higher)</td>
<td align="left">&#x2295;&#x2295;&#x25cb;&#x25cb; low</td>
</tr>
<tr>
<td align="left">CEA (5)</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">None</td>
<td align="left">279</td>
<td align="left">229</td>
<td align="left">No</td>
<td align="left">2.65 lower (4.05&#x2013;1.07 lower)</td>
<td align="left">&#x2295;&#x2295;&#x25cb;&#x25cb; low</td>
</tr>
<tr>
<td align="left">VEGF (6)</td>
<td align="left">Serious<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">None</td>
<td align="left">328</td>
<td align="left">276</td>
<td align="left">No</td>
<td align="left">34.43 lower (39.29&#x2013;29.57 lower)</td>
<td align="left">&#x2295;&#x2295;&#x25cb;&#x25cb; low</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CD, cluster of differentiation; CI, confidence intervals; WMD, weighted mean difference; KAI, Kang&#x2019;ai injection; C, control; NK, natural killer cell; CEA, carcinoembryonic antigen; VEGF, vascular endothelial growth factor.</p>
</fn>
<fn id="Tfn3">
<label>
<sup>a</sup>
</label>
<p>The included studies have certain defects in randomization, allocation concealment and blinding.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<label>4</label>
<title>Discussion</title>
<p>Although chemotherapy remains the first-line treatment for advanced NSCLC, its associated toxicities and side effects significantly compromise patients&#x2019; quality of life and immune function. While emerging evidence suggests potential benefits of KAI combined with chemotherapy in treating advanced NSCLC, comprehensive analyses of immune-related parameters and mitigation of treatment-related toxicities remain insufficient. Therefore, we conducted this updated meta-analysis to provide clinical guidance for advanced NSCLC management and preliminary evidence for fundamental research.</p>
<p>In this study, we selected a total of 14 randomized controlled trials involving 1,214 patients according to predefined criteria. The results demonstrated that KAI combined with chemotherapy significantly improved the objective response rate and enhanced immune function&#x2014;particularly by increasing the CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup> ratio&#x2014;while reducing chemotherapy-related toxicities such as myelosuppression and gastrointestinal reactions. The immune system plays a crucial role in controlling the development and progression of malignant tumors in humans (<xref ref-type="bibr" rid="B17">Lechner et al., 2017</xref>). In clinical practice, peripheral blood T lymphocyte subsets and NK cells have emerged as established biomarkers for monitoring tumor development and progression, as well as predicting therapeutic efficacy and prognosis (<xref ref-type="bibr" rid="B25">Meng et al., 2019</xref>; <xref ref-type="bibr" rid="B28">Peled et al., 2019</xref>). Therefore, CD3<sup>&#x2b;</sup>, CD4<sup>&#x2b;</sup>, and CD8<sup>&#x2b;</sup> T-cell counts, CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup> ratio, and NK cell percentage were selected as key indicators for evaluating immune function in NSCLC patients. The results demonstrated that compared with chemotherapy alone, the KAI combination therapy group showed significantly increased percentages of CD3<sup>&#x2b;</sup> and CD4<sup>&#x2b;</sup> T-cells, CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup> ratio, and NK cells, while exhibiting decreased CD8<sup>&#x2b;</sup> T-cell percentage, collectively indicating enhanced immune function in patients. The main subtypes of peripheral blood T lymphocyte subsets are CD3<sup>&#x2b;</sup>, CD4<sup>&#x2b;</sup> and CD8<sup>&#x2b;</sup> cells. Among these, CD3<sup>&#x2b;</sup> T cells represent the total T lymphocyte population and reflect the functional status of the host cellular immunity. CD4<sup>&#x2b;</sup> T cells primarily function by secreting a broad spectrum of cytokines to promote immune responses, thereby exerting anti-tumor effects. The CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup> ratio serves as a critical clinical indicator for assessing immune system homeostasis. NK cells mediate non-specific cytotoxicity against tumor cells. Relevant studies have demonstrated that levels of CD3<sup>&#x2b;</sup> and CD4<sup>&#x2b;</sup> T cells, CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup> ratio, and NK cell activity are significantly lower in patients with advanced lung cancer compared to healthy cohorts (<xref ref-type="bibr" rid="B42">Wu et al., 2022b</xref>; <xref ref-type="bibr" rid="B44">Wu et al., 2025</xref>). The primary function of CD8<sup>&#x2b;</sup> cells is to eliminate pathogen-infected cells and malignant transformed cells. However, research has revealed that two CD8<sup>&#x2b;</sup> T-cell subtypes&#x2014;CD8<sup>&#x2b;</sup>CD28<sup>&#x2b;</sup> (cytotoxic T cells, Tc) and CD8<sup>&#x2b;</sup>CD28<sup>&#x2212;</sup> (suppressor T cells, Ts)&#x2014;exhibit antagonistic roles in immune regulation (<xref ref-type="bibr" rid="B30">Song et al., 2018</xref>). This study further demonstrated that compared with the chemotherapy-alone group, KAI combined with chemotherapy significantly reduced the incidence of treatment-related toxicities, including leukopenia, myelosuppression, nausea and vomiting, and gastrointestinal reactions.</p>
<p>As an adjuvant chemotherapeutic agent, KAI is utilized in the treatment of primary liver cancer, lung cancer, colorectal cancer, and other malignancies. This intravenous preparation is manufactured from three botanical drugs and their extracts: Panax ginseng C.A.Mey. [Araliaceae; Ginseng Radix et Rhizoma], Astragalus membranaceus (Fisch.) Bunge [Fabaceae; Astragali Radix], and Sophora flavescens Aiton [Fabaceae; Sophorae Flavescentis Radix]. Its immunomodulatory effect is not the independent action of a single component, but rather results from the synergistic interaction of multiple targets and pathways. Ultimately, it achieves the clinical outcome of &#x201c;enhancing efficacy while reducing toxicity&#x201d; by remodeling the tumor immune microenvironment and balancing the functions of immune cell subsets. Research has indicated that the incorporation of Astragalus membranaceus-based botanical drugs into platinum-based chemotherapy regimens reduces the incidence of chemotherapy-derived toxicities, including neutropenia, nausea, and vomiting, when compared to platinum-based chemotherapy alone. Furthermore, it is noteworthy that syndrome differentiation-based formulations of Astragalus membranaceus have demonstrated superior efficacy compared to standardized oral preparations of the botanical drug (<xref ref-type="bibr" rid="B38">Wang et al., 2023</xref>). In addition to reducing the incidence of adverse reactions, the combination of KAI with platinum-based chemotherapy demonstrates enhanced clinical efficacy and exhibits immunomodulatory properties within the tumor microenvironment (<xref ref-type="bibr" rid="B20">Li et al., 2019</xref>). UHPLC/Q-TOF-MS analysis of KAI revealed that its primary constituents include oxymatrine, astragaloside IV, and ginsenosides, among other characteristic metabolites (<xref ref-type="bibr" rid="B19">Li et al., 2018</xref>; <xref ref-type="bibr" rid="B15">Jia et al., 2020</xref>). SGK3 has been identified as a target gene of miR-367-3p. Experimental studies have confirmed that oxymatrine significantly upregulates the expression of the tumor-suppressor miR-367-3p. Under oxymatrine regulation, the enhanced miR-367-3p expression subsequently downregulates its downstream target SGK3, thereby inhibiting tumor growth and suppressing the progression of NSCLC (<xref ref-type="bibr" rid="B47">Yu et al., 2020</xref>). The Epidermal Growth Factor Receptor (EGFR) plays a critical role in the tumorigenesis of NSCLC (<xref ref-type="bibr" rid="B23">Liao et al., 2017</xref>). Experimental studies have confirmed that oxymatrine effectively suppresses both anchorage-dependent and anchorage-independent growth in NSCLC cell lines, while demonstrating no cytotoxicity toward normal pulmonary cells. Furthermore, oxymatrine significantly inhibits the activity of wild-type EGFR, exon 19 deletion-mutant EGFR, and L858R/T790M double-mutant EGFR. The compound also induces G0/G1 phase cell cycle arrest in NSCLC cells through the EGFR-Akt signaling axis. Additionally, <italic>in vivo</italic> experiments using xenograft mouse models have validated that oxymatrine significantly inhibits tumor growth (<xref ref-type="bibr" rid="B18">Li et al., 2017</xref>). Research has demonstrated that ginsenoside CK enhances the anti-proliferative, pro-apoptotic, and anti-migratory effects of gefitinib in both primary and acquired drug-resistant NSCLC. This compound suppresses the expression of HIF-1&#x3b1;, VEGF, FGF, and MMP-2/9, while upregulating the anti-angiogenic factor PF4 and enhancing pericellular matrix formation, ultimately promoting vascular structure normalization (<xref ref-type="bibr" rid="B31">Song et al., 2024</xref>). Studies in murine models have revealed that ginsenoside Rh2 promotes the infiltration of CD4<sup>&#x2b;</sup> and CD8<sup>&#x2b;</sup> T lymphocytes into tumor tissues, thereby enhancing anti-tumor efficacy (<xref ref-type="bibr" rid="B36">Wang et al., 2017</xref>). Research has demonstrated that high-dose astragaloside IV significantly inhibits NSCLC cell proliferation, while low-dose treatments show no apparent cytotoxicity. Furthermore, the combination of astragaloside IV with cisplatin enhances chemosensitivity in NSCLC cells through suppression of B7-H3 expression at both transcriptional and protein levels (<xref ref-type="bibr" rid="B13">He et al., 2016</xref>). Research has further demonstrated that the combination of astragaloside IV with anti-PD-1 therapy inactivates both PI3K/Akt and ERK signaling pathways, suppresses tumor cell proliferation, and induces apoptosis. This combined treatment promotes M1 macrophage polarization and T-cell activation, resulting in significant reduction of tumor volume and weight in LLC tumor-bearing mice (<xref ref-type="bibr" rid="B43">Wu et al., 2024</xref>). Furthermore, studies indicate that astragaloside III enhances the anti-tumor response of natural killer (NK) cells by upregulating the expression of NKG2D and IFN-&#x3b3; (<xref ref-type="bibr" rid="B4">Chen et al., 2019</xref>). The aforementioned components collectively regulate immune function through complementary pathways, which directly correlates with the findings in this study, namely, the increased percentages of CD3<sup>&#x2b;</sup> and CD4<sup>&#x2b;</sup> T cells and enhanced NK cell activity observed in the combination therapy group. This provides a theoretical foundation for KAI&#x2019;s role in improving immune function.</p>
</sec>
<sec id="s5">
<label>5</label>
<title>Study strengths and limitations</title>
<p>The strengths of this study lie in its strict adherence to the PRISMA guidelines and the prospective registration of the study protocol on the PROSPERO platform, ensuring methodological rigor. Through systematic searches of Chinese and English databases, we included 14 randomized controlled trials with a total sample size of 1,214 patients. Data extraction and quality assessment were independently performed by two investigators with cross-verification, effectively minimizing the risk of subjective bias. Our comprehensive analysis not only evaluated clinical efficacy and core immune function parameters but also systematically assessed multiple chemotherapy-related adverse reactions. Furthermore, we validated the robustness of the primary outcomes through subgroup analyses, sensitivity analyses, and trial sequential analysis, thereby enhancing the reliability of our conclusions.</p>
<p>This study has several limitations. All studies included in this analysis were conducted in China, indicating a significant geographical limitation. On one hand, differences in genetic background, dietary structure, and the principles of Traditional Chinese Medicine diagnosis and treatment based on pattern differentiation between the Chinese population and those in other countries or regions may lead to racial heterogeneity in the therapeutic response to KAI. On the other hand, while the selection of chemotherapy regimens and standards for supportive care for NSCLC within the Chinese healthcare system align with international guidelines to some extent, distinct regional characteristics persist, which may influence the assessment of adverse event incidence rates. Most studies provided inadequate reporting on key methodological aspects such as random sequence generation, allocation concealment, and blinding implementation, potentially introducing performance and detection biases. The evidence for certain critical outcomes, including NK cell parameters, was limited by the small number of included studies. Furthermore, several immune indicators demonstrated substantial statistical heterogeneity; although random-effects models were employed and subgroup analyses conducted, the underlying clinical heterogeneity could not be fully elucidated. Therefore, the generalizability of the conclusions from this study requires cautious interpretation. Future research should involve multicenter, cross-regional randomized controlled trials that enroll patients of diverse ethnicities and from varying healthcare environments to further validate the efficacy and safety of KAI combined with chemotherapy.</p>
</sec>
<sec sec-type="conclusion" id="s6">
<label>6</label>
<title>Conclusion</title>
<p>The combination of KAI with chemotherapy for advanced non-small cell lung cancer demonstrates immunomodulatory effects by enhancing peripheral blood CD3<sup>&#x2b;</sup>, CD4<sup>&#x2b;</sup>, CD4<sup>&#x2b;</sup>/CD8<sup>&#x2b;</sup> ratios and NK cell percentages, while reducing tumor marker levels including CEA and VEGF. This integrated approach achieves the clinical effect of &#x201c;enhancing efficacy and reducing toxicity by improving objective response rates and simultaneously decreasing chemotherapy-related adverse reactions such as leukopenia, myelosuppression, nausea, and vomiting, thereby holding significant importance for patients&#x2019; quality of life. However, the strength of evidence remains constrained by methodological limitations in included studies, including generally low quality, high population homogeneity, and absence of long-term survival data. Future investigations should prioritize multicenter, large-sample, double-blind randomized controlled trials to optimize KAI dosage regimens and treatment duration, while further validating its long-term efficacy and applicability across diverse ethnic populations, thereby providing higher-level evidence for its standardized application in advanced NSCLC treatment.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s13">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>YW: Data curation, Formal Analysis, Project administration, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing. XW: Data curation, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing. HZ: Data curation, Formal Analysis, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing. XZ: Conceptualization, Data curation, Software, Supervision, Validation, Writing &#x2013; original draft. TZ: Conceptualization, Funding acquisition, Project administration, Software, Writing &#x2013; review and editing. XW: Funding acquisition, Project administration, Resources, Supervision, Writing &#x2013; review and editing. YW: Funding acquisition, Project administration, Resources, Supervision, Validation, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s13">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2026.1743226/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2026.1743226/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/102949/overview">Magdalena Plebanski</ext-link>, RMIT University, Australia</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1166054/overview">Zhao-you Meng</ext-link>, Xinqiao Hospital, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1210463/overview">Fei Wang</ext-link>, The Teaching Hospital of Chengdu University of Traditional Chinese Medicine, China</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
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