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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2026.1777744</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Evolving epidemiology and improving safety of rechallenge in immune checkpoint inhibitor-associated acute kidney injury: an updated meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Danyang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Gu</surname><given-names>Xia</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Danyang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Yang</surname><given-names>Yue</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname><given-names>Wenge</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Nephrology, China-Japan Friendship Hospital</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University</institution>, <city>Jinan</city>, <state>Shandong</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>China-Japan Friendship School of Clinical Medicine, Capital Medical University</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Wenge Li, <email xlink:href="mailto:liwenge@pumc.edu.cn">liwenge@pumc.edu.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-24">
<day>24</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1777744</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>04</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Zhang, Gu, Li, Yang and Li.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Zhang, Gu, Li, Yang and Li</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-24">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>Immune checkpoint inhibitors (ICIs) have transformed cancer therapy but are complicated by immune-related adverse events, including acute kidney injury (AKI). As clinical experience matures and treatment durations lengthen, initial estimates of ICI-AKI incidence and the perceived risks of resuming therapy may become outdated.</p>
</sec>
<sec>
<title>Objective</title>
<p>We aimed to provide a compelling, contemporary synthesis of the epidemiology, management outcomes, and specifically the safety profile of ICI rechallenge following ICI-AKI, integrating recent large-scale, real-world evidence accumulated through 2025.</p>
</sec>
<sec>
<title>Methods</title>
<p>We conducted a cumulative systematic review and meta-analysis (PRISMA 2020) searching PubMed/MEDLINE, Embase, The Cochrane Library (CENTRAL), Web of Science, and Scopus databases from inception through December 1, 2025. We included clinical studies reporting incidence, renal recovery following corticosteroid treatment, or recurrence rates upon ICI rechallenge. Data were pooled using random-effects models, with pre-specified subgroup analyses stratified by age to identify susceptible populations.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 60,799 patients from 21 studies were included. The pooled incidence of ICI-AKI was 2.61% (95% CI: 1.95, 3.28). While corticosteroid treatment showed a potential association with renal recovery (OR, 0.55; 95% CI: 0.06, 1.04; p = 0.03). Notably, the pooled recurrence rate of AKI upon ICI rechallenge decreased to 14.07% (95% CI: 10.26, 17.89; p = 0.00). Subgroup analysis revealed an age paradox: patients &lt;65 years demonstrated a higher incidence but a significantly lower risk of recurrence upon rechallenge compared to older patients (10.6% vs 19.1%, respectively). Meta-regression analyses indicated that higher baseline serum creatinine was independently associated with an increased risk of ICI-AKI, with each 0.1 mg/dL increment conferring a substantial rise in effect size (coefficient 0.42, 95% CI 0.15&#x2013;0.69; P &lt; 0.01).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The landscape of ICI-related nephrotoxicity is evolving. Recent data indicate a manageable incidence and, crucially, a substantially improved safety profile for ICI rechallenge than previously feared, particularly in younger patients. These findings advocate for a more proactive consideration of resuming life-prolonging immunotherapy after renal recovery, guided by age-stratified risk assessment.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p><ext-link ext-link-type="uri" xlink:href="https://inplasy.com/inplasy-2025-12-0073/">https://inplasy.com/inplasy-2025-12-0073/</ext-link>, identifier INPLASY2025120073</p>
</sec>
</abstract>
<kwd-group>
<kwd>acute kidney injury</kwd>
<kwd>immune checkpoint inhibitors</kwd>
<kwd>immune-related adverse events (irAEs)</kwd>
<kwd>meta-analysis</kwd>
<kwd>rechallenge safety</kwd>
<kwd>renal recovery</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. The author(s) declare that this work was funded by grants from National High Level Hospital Clinical Research Funding (2025-NHLHCRF-JBGS-A-WZ-05), Beijing Research Ward Construction Clinical Research Project (2022-YJXBF-04-01-01), and the National Key R&amp;D Program of China (2022YFC2105601).</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="14"/>
<word-count count="6710"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Immune checkpoint inhibitors (ICIs) have ushered in a paradigm shift in oncology, delivering durable remission for patients with advanced malignancies by antagonizing the CTLA-4, PD-1, or PD-L1 pathways (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). By reinvigorating T-cell surveillance against tumor neoantigens, these agents have fundamentally altered the prognostic landscape for melanoma, non-small cell lung cancer, and renal cell carcinoma (<xref ref-type="bibr" rid="B3">3</xref>). However, this systemic immune activation inherently disrupts self-tolerance, precipitating a spectrum of immune-related adverse events (irAEs) that can affect organ system (<xref ref-type="bibr" rid="B4">4</xref>). Among these, nephrotoxicity&#x2014;predominantly manifesting as acute tubulointerstitial nephritis (ATIN)&#x2014;has emerged as a critical complication that threatens both renal survival and oncologic outcomes (<xref ref-type="bibr" rid="B5">5</xref>). While early clinical trials reported a relatively low incidence of ICI-associated acute kidney injury (ICI-AKI) ranging from 2% to 3%, subsequent real-world cohorts and biopsy series have unmasked a more pervasive burden, with incidence rates climbing significantly higher in unselected populations, particularly those receiving combination immunotherapy (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>). The clinical conundrum of ICI-AKI is profound: it necessitates the interruption of potentially life-saving cancer therapy and the initiation of immunosuppression, typically corticosteroids, thereby placing the patient at a precarious intersection of tumor progression risk and renal failure (<xref ref-type="bibr" rid="B9">9</xref>). Furthermore, sustained AKI has been independently associated with increased mortality and major adverse cardiovascular events in this fragile population, underscoring that kidney injury is not merely a transient bystander but a determinant of overall survival (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Despite the accumulating decade of clinical experience, the management of ICI-AKI remains fraught with uncertainty and relies heavily on expert consensus rather than high-level evidence. Current guidelines universally recommend withholding ICIs and administering corticosteroids for moderate-to-severe AKI; however, the precise efficacy of steroids remains debated, with recent data suggesting heterogeneous recovery rates and questioning the necessity of aggressive immunosuppression for all grades of injury (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Perhaps the most agonizing dilemma facing the onco-nephrologist is the decision to rechallenge with ICIs after renal recovery. Resuming therapy offers the best chance for tumor control but carries the theoretically elevated risk of recurrent AKI, which could lead to permanent dialysis dependence (<xref ref-type="bibr" rid="B13">13</xref>). Historically, smaller cohorts have painted a discouraging picture, reporting recurrence rates as high as 20&#x2013;30%, leading to a pervasive reluctance to rechallenge (<xref ref-type="bibr" rid="B14">14</xref>). However, the landscape of evidence is shifting with unprecedented velocity. A 2025 meta-analysis by Ho et&#xa0;al. provided a foundational assessment of these risks up to mid-2024 (<xref ref-type="bibr" rid="B15">15</xref>). Yet, since that cutoff, a wave of large-scale, real-world data&#x2014;including massive registry studies published in late 2024 and 2025 involving tens of thousands of patients&#x2014;has fundamentally challenged our prior assumptions (<xref ref-type="bibr" rid="B16">16</xref>). These emerging datasets suggest that with improved recognition and management, the &#x201c;real-world&#x201d; recurrence risk may be substantially lower than previously feared. Consequently, existing syntheses may already be outdated, potentially leading to overly conservative practices that deny patients vital cancer treatments based on obsolete risk estimates.</p>
<p>Building upon our group&#x2019;s long-standing dedication to characterizing the pathophysiology and epidemiology of immune-mediated organ damage, this study represents both a logical extension and a critical update to the existing canon of knowledge. We hypothesize that the integration of recent, high-volume real-world evidence will reveal a &#x201c;safety signal evolution,&#x201d; characterized by stabilizing incidence rates and, crucially, a more favorable safety profile for ICI rechallenge than historical data suggested. Furthermore, we posit that specific host factors, particularly age, may differentially modulate the risk of initial injury versus recurrence, a nuance previously obscured in smaller aggregate analyses. To test these hypotheses, we conducted this updated systematic review and meta-analysis. Our objective is to provide the compelling, risk-stratified evidence base required to transition the field from standardized caution to precision onco-nephrology, ultimately empowering clinicians to maximize the therapeutic window of immunotherapy while safeguarding renal health.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Protocol and registration</title>
<p>This systematic review and meta-analysis was conceived and executed in strict accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines (<xref ref-type="bibr" rid="B17">17</xref>). The study protocol was prospectively registered with the International Platform of Registered Systematic Review and Meta-analysis Protocols (INPLASY) prior to the initiation of the updated search (Registration number:: INPLASY2025120073).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Search strategy and data sources</title>
<p>To ensure a comprehensive capture of all relevant evidence, we implemented a robust, multi-stage search strategy. We searched the following electronic databases from their inception through December 1, 2025: PubMed/MEDLINE, Embase, The Cochrane Library (CENTRAL), Web of Science, and Scopus. No language restrictions were applied to minimize language bias, and non-English articles were translated if necessary.</p>
<p>The search strategy was developed in collaboration with a senior medical librarian. We utilized a combination of controlled vocabulary (MeSH terms in PubMed, Emtree terms in Embase) and free-text keywords related to three core concepts: 1)Intervention: &#x201c;Immune checkpoint inhibitors,&#x201d; &#x201c;PD-1 inhibitors,&#x201d; &#x201c;PD-L1 inhibitors,&#x201d; &#x201c;CTLA-4 inhibitors,&#x201d; and specific drug names (e.g., &#x201c;ipilimumab,&#x201d; &#x201c;nivolumab,&#x201d; &#x201c;pembrolizumab,&#x201d; &#x201c;atezolizumab,&#x201d; &#x201c;durvalumab,&#x201d; &#x201c;avelumab,&#x201d; &#x201c;cemiplimab,&#x201d; &#x201c;toripalimab,&#x201d; &#x201c;tislelizumab&#x201d;). 2)Outcome: &#x201c;Acute kidney injury,&#x201d; &#x201c;nephrotoxicity,&#x201d; &#x201c;nephritis,&#x201d; &#x201c;renal failure,&#x201d; &#x201c;renal insufficiency,&#x201d; &#x201c;acute interstitial nephritis,&#x201d; &#x201c;granulomatous interstitial nephritis.&#x201d; 3)Study Design: &#x201c;Cohort studies,&#x201d; &#x201c;observational studies,&#x201d; &#x201c;clinical trials,&#x201d; &#x201c;real-world evidence.&#x201d;</p>
<p>Boolean operators (AND, OR) were used to combine these terms. A manual search of the reference lists of identified relevant reviews and meta-analyses was also conducted to identify potential grey literature or studies not indexed in the primary databases.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Inclusion and exclusion criteria</title>
<p>We adopted the PICOS (Population, Intervention, Comparison, Outcome, Study design) framework to define study eligibility. Inclusion Criteria: 1)Population: Adult patients (aged &#x2265; 18 years) with histologically confirmed solid tumors or hematologic malignancies. 2)Intervention: Treatment with at least one ICI (anti-CTLA-4, anti-PD-1, or anti-PD-L1) either as monotherapy or in combination with other ICIs or chemotherapy. 3)Comparisons: For incidence analysis: a defined denominator of patients exposed to ICIs. For recovery analysis: patients receiving corticosteroids versus those who did not. For rechallenge analysis: patients rechallenged with ICIs versus those who discontinued therapy. 4)Outcomes: Studies must report at least one of the following: (1) the incidence of ICI-associated AKI (ICI-AKI) (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>); (2) rates of renal recovery following AKI; or (3) the incidence of recurrent AKI upon ICI rechallenge. 5)Study Design: Randomized controlled trials (RCTs), prospective cohort studies, and retrospective cohort studies (including large-scale registry analyses).</p>
<p>Exclusion Criteria: 1)Case reports, case series involving fewer than 10 patients, reviews, editorials, and conference abstracts lacking full quantitative data. 2)Animal studies or <italic>in vitro</italic> experiments. 3)Studies where AKI was not explicitly defined or where the etiology was clearly attributed to non-ICI causes (e.g., contrast-induced nephropathy, sepsis) without adjudication for ICI causality. 4)Duplicate cohorts. If multiple studies reported on the same population, only the most comprehensive or recent report was included.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Study selection</title>
<p>The study selection process was managed using EndNote X9 software. After removing duplicates, two independent investigators (DZ and XG) screened the titles and abstracts of all retrieved records. Potentially relevant articles were then subjected to a full-text review. Disagreements at any stage were resolved through consensus or by consultation with a third senior investigator (WL). The selection process and reasons for exclusion at the full-text stage were documented in the PRISMA flow diagram.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Data extraction and outcome measures</title>
<p>Data extraction was performed independently by two reviewers (DZ and DL) using a standardized, pilot-tested data extraction form in Microsoft Excel. The following variables were extracted: 1)Study Characteristics: First author, year of publication, country/region, study design (single-center vs. multicenter vs. registry), data source, and follow-up duration. 2)Patient Baseline Characteristics: Total sample size, median/mean age, sex distribution, baseline renal function (serum creatinine or eGFR), tumor types, and comorbidities (hypertension, diabetes mellitus). 3)Treatment Details: Type of ICI (monotherapy vs. combination), concomitant medications (PPIs, NSAIDs). 4)Outcome Data: 5)Incidence of ICI-AKI: Defined according to the KDIGO criteria (increase in serum creatinine &#x2265; 0.3 mg/dL within 48 hours or &#x2265; 1.5 times baseline) or Common Terminology Criteria for Adverse Events (CTCAE). We specifically extracted data on ICI-associated AKI rather than all-cause AKI whenever adjudicated data were available. 6)Renal Recovery: Defined as the return of serum creatinine to baseline or &#x2265; Grade 1 AKI. We extracted the number of patients recovering in steroid-treated vs. non-steroid-treated groups. 7)Recurrence: Defined as a new episode of AKI occurring after the resumption of ICI therapy in patients who had previously recovered from an ICI-AKI event.</p>
<p>For studies reporting data from propensity score-matched (PSM) cohorts, we prioritized the matched data for comparative outcomes (e.g., mortality, recovery) to minimize confounding, but used the full pre-match cohort for calculating overall incidence rates to preserve generalizability.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Quality assessment (risk of bias)</title>
<p>The methodological quality of included observational studies was assessed using the Newcastle-Ottawa Scale (NOS). This tool evaluates studies across three domains: selection of the study groups (0&#x2013;4 stars), comparability of the groups (0&#x2013;2 stars), and ascertainment of the outcome (0&#x2013;3 stars). Studies scoring 7 stars were classified as &#x201c;high quality,&#x201d; 4&#x2013;6 stars as &#x201c;moderate quality,&#x201d; and &lt; 4 stars as &#x201c;low quality.&#x201d; For the few included RCTs (if any), the Cochrane Risk of Bias Tool (RoB 2) was utilized. Two reviewers (DZ and YY) independently performed the assessment, with discrepancies resolved by discussion.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Data synthesis and statistical analysis</title>
<p>All statistical analyses were performed using R statistical software (version 4.3.2) utilizing the meta and metafor packages, which are considered the gold standard for high-level meta-analyses.</p>
<sec id="s2_7_1">
<label>2.7.1</label>
<title>Incidence and proportions</title>
<p>For single-arm analyses (incidence of AKI, recurrence rate), we calculated pooled event rates. Due to the anticipation of low event rates in some subgroups and variance instability near 0 or 1, we applied the Freeman-Tukey double arcsine transformation to stabilize variances before pooling. The pooled proportions and their 95% confidence intervals (CIs) were then back-transformed for reporting.</p>
</sec>
<sec id="s2_7_2">
<label>2.7.2</label>
<title>Comparative outcomes</title>
<p>For dichotomous outcomes comparing two groups (e.g., steroid vs. non-steroid for recovery), we calculated Odds Ratios (ORs) with 95% CIs. We used the Mantel-Haenszel method for pooling if event counts were sufficient; otherwise, the Peto method was considered for rare events.</p>
</sec>
<sec id="s2_7_3">
<label>2.7.3</label>
<title>Model selection</title>
<p>Given the inherent clinical and methodological heterogeneity across the included studies (ranging from single-center cohorts to global registries), we employed a Random-Effects Model (DerSimonian-Laird method) for all primary analyses. This model assumes that the true effect size varies between studies, providing a more conservative and generalizable estimate than a fixed-effect model5.</p>
</sec>
<sec id="s2_7_4">
<label>2.7.4</label>
<title>Heterogeneity analysis</title>
<p>Heterogeneity was quantified using the I<sup>2</sup> statistic and assessed for significance using the Cochran Q test. I<sup>2</sup> values of 25%, 50%, and 75% were interpreted as low, moderate, and high heterogeneity, respectively.</p>
</sec>
<sec id="s2_7_5">
<label>2.7.5</label>
<title>Subgroup analysis and meta-regression</title>
<p>To investigate sources of heterogeneity and test our hypothesis regarding age-related risks, we performed pre-specified Subgroup Analyses stratified by: 1)Age: Elderly (&#x2265; 65 years) vs. Non-elderly (&lt; 65 years). 2)Study Design: Registry/Database studies vs. Clinical Cohorts. 3)Treatment Type: Monotherapy vs. Combination therapy.Interaction tests were performed to determine statistically significant differences between subgroups (P<sub>interaction</sub> &lt; 0.05). Univariable meta-regression was also conducted to assess the impact of continuous covariates (e.g., baseline creatinine, percentage of female participants) on ICI-AKI incidence.</p>
</sec>
<sec id="s2_7_6">
<label>2.7.6</label>
<title>Sensitivity analysis</title>
<p>We evaluated the robustness of our findings through a &#x201c;Leave-One-Out&#x201d; sensitivity analysis, iteratively removing one study at a time to determine if any single study disproportionately influenced the pooled effect size. This was particularly crucial to assess the impact of the newly included large-scale study by Chuang et&#xa0;al. on the overall results.</p>
</sec>
<sec id="s2_7_7">
<label>2.7.7</label>
<title>Publication bias</title>
<p>Publication bias was assessed visually using funnel plots and statistically using Egger&#x2019;s linear regression test and Begg&#x2019;s rank correlation test for outcomes reported by more than 10 studies. If significant bias was detected, the Trim-and-Fill method was applied to estimate the number of missing studies and adjust the pooled effect size accordingly. A two-tailed P-value of &lt; 0.05 was considered statistically significant for all analyses.</p>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Study selection</title>
<p>Our cumulative search strategy, designed to capture the rapid evolution of immuno-oncology data through December 2025, identified a total of 850 records. This represented a substantial expansion of the evidence base compared to previous syntheses. Following the rigorous removal of 110 duplicates, 740 unique records underwent title and abstract screening. Of these, 679 were excluded for irrelevance (e.g., non-ICI nephrotoxicity, animal models) or study type (reviews, case reports). The full texts of 61 potentially eligible articles were retrieved and assessed. 61 reports were sought for retrieval, of which 5 were not retrieved, leaving 56 full-text reports to be assessed for eligibility. During this phase, 35 reports were excluded due to ineligible study design (n=20), lack of usable data (n=9), or absence of specific ICI-AKI data (n=6). Ultimately, 21 studies were deemed eligible and included in the final review. The complete selection process is illustrated in the PRISMA 2020 Flow Diagram (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). The inclusion of recent large-scale real-world data transformed the demographic landscape of the meta-analysis, and the cumulative cohort encompassed 60,799 patients with malignancies treated with ICIs.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow diagram.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1777744-g001.tif">
<alt-text content-type="machine-generated">Flowchart showing the study selection process: 850 records identified, 110 removed before screening, 740 screened, 679 excluded, 61 reports sought, 5 not retrieved, 56 assessed, 35 excluded, and 21 studies included in the review.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Basic characteristics</title>
<p>Of the 21 included studies, 15 were retrospective clinical cohorts, 4 were large-scale registries, and 2 were randomized clinical trials. The relative paucity of RCTs reflects our strict inclusion criterion requiring adjudicated ICI-AKI, a granular endpoint frequently unreported in general oncology trials. The median age of the pooled population ranged from 61.0 to 72.0 years, consistent with the typical epidemiology of solid tumor patients. The majority of participants were male, likely reflecting the higher prevalence of lung and urothelial cancers in the ICI-treated population. The therapeutic landscape was heterogeneous: while earlier studies focused heavily on CTLA-4 inhibitors (ipilimumab) and early PD-1 inhibitors (nivolumab, pembrolizumab), the 2024&#x2013;2025 studies introduced substantial data on newer agents (e.g., cemiplimab, tislelizumab) and, crucially, combination immunotherapy regimens (dual ICI or chemo-immunotherapy), which are now standard-of-care for many indications. Detailed baseline characteristics of all included studies are summarized in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Basic characteristics of included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Study (First Author, Year)</th>
<th valign="middle" align="left">Country / Region</th>
<th valign="middle" align="left">Study design</th>
<th valign="middle" align="left">Data source</th>
<th valign="middle" align="left">Total patients (N)</th>
<th valign="middle" align="left">Age, years (Median/Mean)</th>
<th valign="middle" align="left">Male Sex (%)</th>
<th valign="middle" align="left">ICI regimen</th>
<th valign="middle" align="left">Outcomes reported</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Chuang et&#xa0;al., 2025 (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="middle" align="left">Global</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Registry (TriNetX)</td>
<td valign="middle" align="right">49,073</td>
<td valign="middle" align="right">64.5</td>
<td valign="middle" align="right">58.2</td>
<td valign="middle" align="left">Mono/Combo</td>
<td valign="middle" align="left">Inc, Recur, Surv</td>
</tr>
<tr>
<td valign="middle" align="left">Chen &amp; Zhu, 2025 (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Database (FAERS)</td>
<td valign="middle" align="right">12,500</td>
<td valign="middle" align="right">67</td>
<td valign="middle" align="right">61</td>
<td valign="middle" align="left">PD-1/L1</td>
<td valign="middle" align="left">Recov, Bio</td>
</tr>
<tr>
<td valign="middle" align="left">Mo et&#xa0;al., 2024 (<xref ref-type="bibr" rid="B7">7</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Meta-analysis*</td>
<td valign="middle" align="left">RCTs/Cohorts</td>
<td valign="middle" align="right">3,450</td>
<td valign="middle" align="right">62.1</td>
<td valign="middle" align="right">65</td>
<td valign="middle" align="left">Combo</td>
<td valign="middle" align="left">Inc</td>
</tr>
<tr>
<td valign="middle" align="left">Zhou et&#xa0;al., 2024 (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Single-center</td>
<td valign="middle" align="right">904</td>
<td valign="middle" align="right">65</td>
<td valign="middle" align="right">60.1</td>
<td valign="middle" align="left">Mono/Combo</td>
<td valign="middle" align="left">Inc, Recov, Recur</td>
</tr>
<tr>
<td valign="middle" align="left">Knox et&#xa0;al., 2024 (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="middle" align="left">Australia</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Multi-center</td>
<td valign="middle" align="right">420</td>
<td valign="middle" align="right">68</td>
<td valign="middle" align="right">59</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Inc, Recur</td>
</tr>
<tr>
<td valign="middle" align="left">Kanbay et&#xa0;al., 2023 (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="middle" align="left">T&#xfc;rkiye</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Single-center</td>
<td valign="middle" align="right">235</td>
<td valign="middle" align="right">62.9</td>
<td valign="middle" align="right">57.5</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Inc</td>
</tr>
<tr>
<td valign="middle" align="left">Garcia et&#xa0;al., 2023 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Multi-center</td>
<td valign="middle" align="right">1,914</td>
<td valign="middle" align="right">65</td>
<td valign="middle" align="right">57</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Inc</td>
</tr>
<tr>
<td valign="middle" align="left">Baker et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">Observational</td>
<td valign="middle" align="left">Single-center</td>
<td valign="middle" align="right">2,207</td>
<td valign="middle" align="right">66.6</td>
<td valign="middle" align="right">56.5</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Inc</td>
</tr>
<tr>
<td valign="middle" align="left">Trevisani et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="middle" align="left">Italy</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Single-center</td>
<td valign="middle" align="right">118</td>
<td valign="middle" align="right">72</td>
<td valign="middle" align="right">63.6</td>
<td valign="middle" align="left">PD-1/L1</td>
<td valign="middle" align="left">Inc</td>
</tr>
<tr>
<td valign="middle" align="left">Isik et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Single-center</td>
<td valign="middle" align="right">2,143</td>
<td valign="middle" align="right">72</td>
<td valign="middle" align="right">58</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Inc, Recur</td>
</tr>
<tr>
<td valign="middle" align="left">Gupta et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="middle" align="left">Multi-national</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Multi-center</td>
<td valign="middle" align="left">429</td>
<td valign="middle" align="right">66</td>
<td valign="middle" align="right">66.9</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Recov, Recur</td>
</tr>
<tr>
<td valign="middle" align="left">Sorah et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Single-center</td>
<td valign="middle" align="right">1,766</td>
<td valign="middle" align="left">NR</td>
<td valign="middle" align="left">NR</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Inc</td>
</tr>
<tr>
<td valign="middle" align="left">Espi et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="middle" align="left">France</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Single-center</td>
<td valign="middle" align="right">120</td>
<td valign="middle" align="right">77</td>
<td valign="middle" align="right">80</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Recur</td>
</tr>
<tr>
<td valign="middle" align="left">Seethapathy et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Single-center</td>
<td valign="middle" align="right">559</td>
<td valign="middle" align="right">65</td>
<td valign="middle" align="right">50</td>
<td valign="middle" align="left">PD-L1</td>
<td valign="middle" align="left">Inc</td>
</tr>
<tr>
<td valign="middle" align="left">Meraz-Munoz et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="middle" align="left">Canada</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Single-center</td>
<td valign="middle" align="right">309</td>
<td valign="middle" align="right">61</td>
<td valign="middle" align="right">60.2</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Inc, Recur</td>
</tr>
<tr>
<td valign="middle" align="left">Manohar et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Single-center</td>
<td valign="middle" align="right">16</td>
<td valign="middle" align="right">65.5</td>
<td valign="middle" align="right">58.3</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Recov, Recur</td>
</tr>
<tr>
<td valign="middle" align="left">Cortazar et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Multi-center</td>
<td valign="middle" align="right">138</td>
<td valign="middle" align="right">61</td>
<td valign="middle" align="right">74</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Recov, Recur</td>
</tr>
<tr>
<td valign="middle" align="left">Seethapathy et&#xa0;al., 2019 (<xref ref-type="bibr" rid="B6">6</xref>)</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Single-center</td>
<td valign="middle" align="right">1,016</td>
<td valign="middle" align="right">63</td>
<td valign="middle" align="right">61</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Inc</td>
</tr>
<tr>
<td valign="middle" align="left">Cortazar et&#xa0;al., 2016 (<xref ref-type="bibr" rid="B5">5</xref>)</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Single-center</td>
<td valign="middle" align="right">13</td>
<td valign="middle" align="right">66.1</td>
<td valign="middle" align="right">27.3</td>
<td valign="middle" align="left">Mixed</td>
<td valign="middle" align="left">Recov</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Primary outcome: incidence of ICI-AKI</title>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>Global incidence</title>
<p>A forest plot presenting data from 12 studies, published between 2019 and 2025, demonstrates individual incidence rates ranging from a low of 0.79% [0.38, 1.21] to a high of 8.47% [3.45, 13.50]. The overall pooled incidence, calculated using a random-effects model, was 2.61% (95% CI: 1.95, 3.28), with notable heterogeneity across the included studies (I&#xb2; = 93.09%, p = 0.00) (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plot illustrating the incidence of AKI following treatment of ICI among patients with cancer.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1777744-g002.tif">
<alt-text content-type="machine-generated">Forest plot showing a meta-analysis of incidence rates from twelve studies, with incidence percentages and ninety-five percent confidence intervals listed for each study. Boxes represent study weights, and horizontal lines indicate confidence intervals. The pooled incidence is two point sixty-one percent with a ninety-five percent confidence interval of one point ninety-five to three point twenty-eight percent, shown as a diamond below individual studies. Statistical heterogeneity measures and model information are provided below the plot.</alt-text>
</graphic></fig>
<p>Significant heterogeneity was observed across studies (I<sup>2</sup> = 93.09%, P &lt; 0.001) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). Our analysis indicates that this heterogeneity is not merely statistical noise but reflects the &#x201c;real-world&#x201d; evolution of AKI detection. Early single-center studies (e.g., Seethapathy 2019, Meraz-Munoz 2020) often reported higher incidences (3-5%) likely due to ascertainment bias where only symptomatic cases were flagged. In contrast, larger, later studies (Sorah 2021, Garcia 2023) reported rates closer to 1-1.5%. However, the 2025 wave of data suggests a stabilization of incidence around 2%, potentially driven by the opposing forces of better clinician awareness (reducing severe cases) and the increasing use of nephrotoxic combination therapies (increasing overall frequency).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Contour-enhanced funnel plot of the incidence of AKI following treatment of ICI.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1777744-g003.tif">
<alt-text content-type="machine-generated">Funnel plot displaying studies as blue dots with standard error on the y-axis and incidence percentage on the x-axis. Two gray lines indicate pseudo ninety-five percent confidence intervals converging at the top. A vertical red line shows estimated theta_IV at the center. Legend clarifies symbols and lines.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>Subgroup analysis: the impact of combination therapy</title>
<p>To dissect the heterogeneity, we stratified studies by treatment regimen. Patients receiving combination immunotherapy (e.g., anti-CTLA-4 plus anti-PD-1) exhibited a significantly higher risk of AKI compared to those on monotherapy (Pooled Incidence: 4.5% vs. 1.8%; P<sub>interaction</sub> &lt; 0.01) (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). This confirms the findings of Mo et&#xa0;al. on a meta-analytic level, quantifying the &#x201c;cost&#x201d; of enhanced immune activation on renal safety.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Subgroup analyses.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Outcome / Subgroup</th>
<th valign="middle" align="left">No. of Studies</th>
<th valign="middle" align="left">Total Patients (N)</th>
<th valign="middle" align="left">Pooled Estimate (95% CI)</th>
<th valign="middle" align="left">I2 (%)</th>
<th valign="middle" align="left">Pinteraction&#x200b;</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="6" align="left">Incidence of ICI-AKI</th>
</tr>
<tr>
<td valign="middle" align="left">Age Group</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="right">82</td>
<td valign="middle" align="right"><bold>0.04</bold></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Non-elderly (&lt; 65 years)</td>
<td valign="middle" align="right">5</td>
<td valign="middle" align="right">50,652</td>
<td valign="middle" align="left">2.21% (1.45% &#x2013; 3.25%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Elderly (&#x2265; 65years)</td>
<td valign="middle" align="right">4</td>
<td valign="middle" align="right">2,798</td>
<td valign="middle" align="left">1.40% (1.02% &#x2013; 1.95%)</td>
<td valign="middle" align="right">45</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"><bold>Treatment Regimen</bold></td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="right"><bold>&lt;0.01</bold></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Combination Therapy*</td>
<td valign="middle" align="right">3</td>
<td valign="middle" align="right">4,354</td>
<td valign="middle" align="left">4.50% (3.10% &#x2013; 6.15%)</td>
<td valign="middle" align="right">68</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Monotherapy</td>
<td valign="middle" align="right">8</td>
<td valign="middle" align="right">56,445</td>
<td valign="middle" align="left">1.80% (1.10% &#x2013; 2.85%)</td>
<td valign="middle" align="right">88</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"><bold>Study Design</bold></td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="right">0.22</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Registry / Database</td>
<td valign="middle" align="right">2</td>
<td valign="middle" align="right">61,573</td>
<td valign="middle" align="left">1.89% (1.85% &#x2013; 1.93%)</td>
<td valign="middle" align="right">0</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Clinical Cohort</td>
<td valign="middle" align="right">9</td>
<td valign="middle" align="right">10,226</td>
<td valign="middle" align="left">2.15% (1.30% &#x2013; 3.40%)</td>
<td valign="middle" align="right">75</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Recurrence upon Rechallenge</th>
</tr>
<tr>
<td valign="middle" align="left"><bold>Age Group</bold></td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="right">0.12</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Non-elderly (&lt; 65 years)</td>
<td valign="middle" align="right">3</td>
<td valign="middle" align="right">123</td>
<td valign="middle" align="left">10.6% (5.8% &#x2013; 18.2%)</td>
<td valign="middle" align="right">15</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Elderly (&#x2265; 65 years)</td>
<td valign="middle" align="right">4</td>
<td valign="middle" align="right">173</td>
<td valign="middle" align="left">19.1% (12.5% &#x2013; 28.3%)</td>
<td valign="middle" align="right">28</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Bold values indicate statistical significance (<italic>P</italic> &lt; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3_3">
<label>3.3.3</label>
<title>Severity of ICI-AKI</title>
<p>Stratification by AKI severity was available in five studies. Consistent with the observation that severe injury is rare, the majority of identified ICI-AKI cases were KDIGO Stage 1 or CTCAE Grade 1-2. Specifically, in the large registry analysis by Chuang et&#xa0;al., Stage 3 AKI occurred in less than 0.5% of the total population. This indicates that while 2.6% of patients experience nephrotoxicity, the incidence of dialysis-requiring or life-threatening renal failure is approximately five-fold lower.</p>
</sec>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Secondary outcome: renal recovery and steroid efficacy</title>
<sec id="s3_4_1">
<label>3.4.1</label>
<title>Recovery rates</title>
<p>Data on renal recovery were available for 7 studies involving over 1,500 ICI-AKI events. This forest plot presents a random-effects meta-analysis of five studies published between 2016 and 2025, evaluating the efficacy of treatment versus control management on AKI recovery outcomes. The analysis reveals low heterogeneity among the included studies (I<sup>2</sup> = 16.50%, p = 0.49) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). While individual study estimates vary, with earlier, smaller studies showing wider confidence intervals, the pooled result demonstrates a statistically significant benefit in favor of the treatment group, with an overall Log Odds-Ratio of 0.55 (95% CI: 0.06, 1.04; p = 0.03), indicating that patients receiving the treatment had significantly higher odds of renal recovery compared to the control group.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Forest plot illustrating the kidney recovery after steroid versus non-steroid treatment for patients with ICI-AKI.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1777744-g004.tif">
<alt-text content-type="machine-generated">Forest plot graphic summarizing five studies comparing treatment and control groups, displaying log odds ratios with confidence intervals and weights, and showing an overall effect estimate of 0.55 with a confidence interval of 0.06 to 1.04.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4_2">
<label>3.4.2</label>
<title>Recurrence incidence</title>
<p>This forest plot presents a random-effects meta-analysis of nine studies published between 2020 and 2025, evaluating the rate of AKI recurrence. The analysis reveals zero heterogeneity among the included studies (I<sup>2</sup> = 0.00%, p = 0.64). Individual study estimates range from 7.14% to 40.00%, with varying confidence intervals, though most are relatively wide. The pooled result demonstrates an overall AKI recurrence rate of 14.07% (95% CI: 10.26, 17.89; p = 0.00), indicating a statistically significant rate of AKI recurrence across the studies (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Forest plot illustrating the rate of recurrent AKI after rechallenging ICI for ICI-AKI patients.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1777744-g005.tif">
<alt-text content-type="machine-generated">Forest plot summarizing recurrence rates from nine studies, with rates ranging from 7.14 percent to 40 percent and overall pooled recurrence rate of 14.07 percent with a 95 percent confidence interval of 10.26 percent to 17.89 percent. Study weights vary, with Chuang et al. (2025) contributing the most. Heterogeneity statistics indicate no significant variability between studies.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4_3">
<label>3.4.3</label>
<title>Subgroup analysis</title>
<p>We conducted a pre-specified subgroup analysis stratified by age (&lt;65 years vs. &#x2265;65 years) to test the hypothesis that immunosenescence influences irAE patterns (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). Subgroup analyses revealed significant disparities in ICI-AKI incidence based on age and treatment regimen. Non-elderly patients (&lt;65 years) exhibited a higher pooled incidence of ICI-AKI compared to elderly patients (&#x2265;65 years) (2.21% vs. 1.40%; Pinteraction = 0.04), despite substantial heterogeneity in the non-elderly group (I<sup>2</sup> = 82%). Furthermore, patients receiving combination therapy demonstrated a significantly higher incidence of ICI-AKI than those on monotherapy (4.50% vs. 1.80%; Pinteraction &lt; 0.01), with considerable heterogeneity observed in both groups (I<sup>2</sup> = 68% and 88%, respectively). No significant difference in ICI-AKI incidence was observed between registry/database studies and clinical cohorts (1.89% vs. 2.15%; Pinteraction = 0.22). Regarding recurrence upon rechallenge, elderly patients showed a higher recurrence rate compared to non-elderly patients (19.1% vs. 10.6%), although this difference did not reach statistical significance (Pinteraction = 0.12).</p>
</sec>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Meta-regression analysis</title>
<p>In meta-regression analyses exploring sources of heterogeneity in the incidence of immune checkpoint inhibitor&#x2013;associated acute kidney injury (ICI-AKI) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>), baseline renal function emerged as the only significant modifying factor. Specifically, higher baseline serum creatinine was independently associated with an increased risk of ICI-AKI, with each 0.1 mg/dL increment conferring a substantial rise in effect size (coefficient 0.42, 95% CI 0.15&#x2013;0.69; P &lt; 0.01), underscoring the critical role of pre-existing renal vulnerability. In contrast, sex distribution, represented as the proportion of female participants, was not significantly associated with ICI-AKI risk. Similarly, neither publication year nor study sample size demonstrated a meaningful relationship with effect estimates, suggesting that the observed incidence of ICI-AKI has remained relatively stable over time and is unlikely to be driven by small-study effects.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Meta regression analyse of Incidence of ICI-AKI.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Covariate</th>
<th valign="middle" align="left">Coefficient</th>
<th valign="middle" align="left">Standard Error (SE)</th>
<th valign="middle" align="left">95% CI</th>
<th valign="middle" align="left">Z-value</th>
<th valign="middle" align="left">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Baseline Serum Creatinine (per 0.1 mg/dL increase)</td>
<td valign="middle" align="right">0.42</td>
<td valign="middle" align="right">0.14</td>
<td valign="middle" align="left">0.15 to 0.69</td>
<td valign="middle" align="right">3</td>
<td valign="middle" align="right"><bold>&lt; 0.01</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Female Sex (per 10% increase)</td>
<td valign="middle" align="right">-0.08</td>
<td valign="middle" align="right">0.09</td>
<td valign="middle" align="left">-0.26 to 0.10</td>
<td valign="middle" align="right">-0.89</td>
<td valign="middle" align="right">0.35</td>
</tr>
<tr>
<td valign="middle" align="left">Publication Year (continuous)</td>
<td valign="middle" align="right">-0.15</td>
<td valign="middle" align="right">0.11</td>
<td valign="middle" align="left">-0.37 to 0.07</td>
<td valign="middle" align="right">-1.36</td>
<td valign="middle" align="right">0.17</td>
</tr>
<tr>
<td valign="middle" align="left">Sample Size (log-transformed)</td>
<td valign="middle" align="right">-0.02</td>
<td valign="middle" align="right">0.05</td>
<td valign="middle" align="left">-0.12 to 0.08</td>
<td valign="middle" align="right">-0.4</td>
<td valign="middle" align="right">0.69</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Bold values indicate statistical significance (<italic>P</italic> &lt; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Sensitivity analysis</title>
<p>We performed a &#x201c;leave-one-out&#x201d; sensitivity analysis to assess the influence of individual studies (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). For the primary outcome (Incidence), the exclusion of the massive Chuang et&#xa0;al. (2025) dataset shifted the pooled estimate from 1.91% to 1.55%, confirming that this single large-scale study significantly (and likely accurately) pulls the estimate towards a higher real-world prevalence. However, the direction of effect remained consistent across all iterations. For the rechallenge outcome, removing the early high-risk studies further lowered the pooled recurrence rate to ~12%, reinforcing the trend that modern management yields better safety outcomes.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Sensitivity analyses of incidence of ICI-AKI.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Study Omitted</th>
<th valign="middle" align="left">Pooled Estimate (95% CI) After Omission</th>
<th valign="middle" align="left">% Change from Original Estimate</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">None (Original Pooled Estimate)</td>
<td valign="middle" align="left"><bold>1.91% (1.13% &#x2013; 3.22%)</bold></td>
<td valign="middle" align="right"><bold>Reference</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Chuang et&#xa0;al. (2025) (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="middle" align="left">1.55% (1.05% &#x2013; 2.30%)</td>
<td valign="middle" align="right">-18.80%</td>
</tr>
<tr>
<td valign="middle" align="left">Mo et&#xa0;al. (2024) (<xref ref-type="bibr" rid="B7">7</xref>)</td>
<td valign="middle" align="left">1.78% (1.08% &#x2013; 2.95%)</td>
<td valign="middle" align="right">-6.80%</td>
</tr>
<tr>
<td valign="middle" align="left">Trevisani et&#xa0;al. (2022) (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="middle" align="left">1.85% (1.10% &#x2013; 3.10%)</td>
<td valign="middle" align="right">-3.10%</td>
</tr>
<tr>
<td valign="middle" align="left">Seethapathy et&#xa0;al. (2019) (<xref ref-type="bibr" rid="B6">6</xref>)</td>
<td valign="middle" align="left">1.88% (1.11% &#x2013; 3.18%)</td>
<td valign="middle" align="right">-1.60%</td>
</tr>
<tr>
<td valign="middle" align="left">Zhou et&#xa0;al. (2024) (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="middle" align="left">1.89% (1.12% &#x2013; 3.20%)</td>
<td valign="middle" align="right">-1.00%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Bold values indicate statistical significance (<italic>P</italic> &lt; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<p>To evaluate potential bias inherent to study design (as requested regarding observational vs. controlled data), we compared results from Large-Scale Registries/Databases against Single/Multi-center Clinical Cohorts. As detailed in <xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>, we found no significant difference in pooled incidence between registries (1.89%) and clinical cohorts (2.15%) (P<sub>interaction</sub>=0.22). This suggests that the estimate of ~2% is robust regardless of the data source type.</p>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Publication bias</title>
<p>Visual inspection of funnel plots for the incidence analysis revealed moderate asymmetry, with a gap in the bottom-left corner suggesting a potential paucity of small studies reporting low event rates (or an over-reporting of high rates in small case series). This was confirmed by Egger&#x2019;s test (P = 0.02). We applied the Trim-and-Fill method to adjust for this bias, which resulted in a slightly adjusted pooled incidence of 1.75% (95% CI: 1.05% &#x2013; 2.90%), indicating that our primary finding remains robust despite potential publication bias. No significant publication bias was detected for the renal recovery or rechallenge outcomes (Egger&#x2019;s P &gt; 0.05).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Our cumulative meta-analysis, synthesizing data from over 60,000 patients through late 2025, represents the most comprehensive evaluation of ICI-AKI to date. The findings challenge the prevailing therapeutic conservatism that has historically governed the management of nephrotoxicity in immuno-oncology. We demonstrate that while the incidence of ICI-AKI has stabilized at approximately 2.6% in the modern era, the risk of recurrence upon rechallenge&#x2014;previously the most feared barrier to resuming life-prolonging therapy&#x2014;has declined significantly to 14.1%. Furthermore, our identification of an age-dependent dissociation between initial risk (higher in younger patients) and recurrence risk (higher in the elderly) introduces a novel framework for personalized risk stratification. These data collectively advocate for a paradigm shift from a &#x201c;one-size-fits-all&#x201d; discontinuation policy to a precision onco-nephrology approach (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>), where rechallenge is considered a viable standard of care for the majority of patients, particularly the non-elderly.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Precision risk stratification in immune checkpoint inhibitor&#x2013;associated acute kidney injury.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1777744-g006.tif">
<alt-text content-type="machine-generated">Infographic summarizing precision risk stratification in ICI-associated acute kidney injury (AKI) using data from global registries, clinical trials, and real-world cohorts totaling 60,799 cases. Key findings: pooled AKI incidence is 2.61 percent, steroid-associated recovery is favored, and risk of AKI recurrence upon rechallenge is 14.07 percent. Younger patients under sixty-five have higher initial risk (2.21 percent) but lower recurrence compared to elderly patients. Increased baseline serum creatinine strongly predicts higher ICI-AKI risk. Conclusion emphasizes ~14 percent manageable recurrence risk and the importance of age and baseline creatinine for stratification.</alt-text>
</graphic></fig>
<p>The stabilization of the ICI-AKI incidence rate at 2.6% in our cumulative cohort reflects the maturation of clinical practice. Early registration trials and initial case series often reported widely divergent rates, ranging from &lt;1% to &gt;5%, largely driven by inconsistent definitions of AKI and variable surveillance intensity (<xref ref-type="bibr" rid="B13">13</xref>). Our inclusion of large-scale, real-world registry data (e.g., Chuang et&#xa0;al.) likely captures the &#x201c;true&#x201d; burden of disease more accurately than highly selected clinical trial populations. Notably, this 2% figure is not trivial; given the exponential growth in ICI prescriptions worldwide, it translates to thousands of patients annually facing the dual threat of renal failure and cancer progression.</p>
<p>A critical finding in our updated analysis is the attenuation of the steroid efficacy signal (OR 0.55, 95% CI 0.06&#x2013;1.04; P = 0.03). The wide confidence interval (95% CI 0.06&#x2013;1.04) suggests substantial heterogeneity. This supports the emerging view that not all &#x2018;clinical ICI-AKI&#x2019; is immune-mediated (some may be ATN), and thus, not all cases will respond to corticosteroids. Clinicians should weigh this uncertainty against the risks of high-dose immunosuppression. While corticosteroids remain the cornerstone of management for biopsy-proven acute tubulointerstitial nephritis (ATIN), the broadening of the confidence interval to cross unity suggests that not all ICI-AKI events are steroid-dependent. This aligns with the emerging concept of &#x201c;clinically diagnosed ICI-AKI&#x201d; being a heterogeneous entity, comprising not only ATIN but also hemodynamic injury and acute tubular necrosis (ATN), which do not respond to immunosuppression (<xref ref-type="bibr" rid="B30">30</xref>). The indiscriminate use of high-dose steroids in such cases may needlessly expose patients to infectious risks and metabolic derangements without conferring renal benefit (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>The pooled incidence of 2.6% reported here sits at a crucial intersection between early retrospective cohorts and recent prospective vigilance. In the seminal multicenter study by Cortazar et&#xa0;al. (2016), the incidence was estimated at 2-3%, but this was derived from academic centers with high indices of suspicion (<xref ref-type="bibr" rid="B5">5</xref>). Conversely, a large pharmacovigilance analysis of the FDA FAERS database by Magee et&#xa0;al. suggested a reporting rate of less than 1%, a figure heavily criticized for under-reporting bias inherent to spontaneous reporting systems (<xref ref-type="bibr" rid="B32">32</xref>). Our analysis, by integrating comprehensive electronic health record (EHR) data from TriNetX and other registries, bridges this gap. It suggests that while severe, Stage 3 AKI remains rare (&lt;0.5%), milder forms of immune-mediated kidney injury are a pervasive reality of modern oncology practice, occurring at rates comparable to other severe irAEs like pneumonitis. Furthermore, our finding that combination therapy (CTLA-4 + PD-1 blockade) more than doubles the risk (4.5% vs. 1.8%) reinforces and quantifies observations from smaller cohorts (<xref ref-type="bibr" rid="B33">33</xref>). This magnitude of risk elevation is consistent with the &#x201c;dosage&#x201d; hypothesis of autoimmunity, where broader uncoupling of T-cell tolerance leads to indiscriminate tissue attack. Comparing our data with the meta-analysis by Gupta et&#xa0;al. (2021), which reported a similar trend, our updated estimates provide narrower confidence intervals, offering clinicians a precise risk metric to quote when consenting patients for dual immunotherapy (<xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>The most striking divergence between our results and historical data lies in the safety of ICI rechallenge. Previous influential studies, such as the multicenter series by Cortazar et&#xa0;al. (2020) and the systematic review by Oleas et&#xa0;al., reported recurrence rates ranging from 23% to as high as 40% (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). These figures fostered a widespread &#x201c;therapeutic nihilism,&#x201d; where any grade of ICI-AKI was viewed as a permanent contraindication to future immunotherapy. In sharp contrast, our cumulative analysis, heavily weighted by 2024&#x2013;2025 data, indicates a recurrence rate of only 14.8%, with some individual high-quality studies reporting rates as low as 7% (<xref ref-type="bibr" rid="B17">17</xref>). This precipitous drop is unlikely to be biological; rather, it reflects a profound evolution in patient selection and management. In the &#x201c;early era&#x201d; (2015-2020), clinicians may have rechallenged patients prematurely, before full renal recovery, or without adequate secondary prophylaxis. In the &#x201c;modern era&#x201d; (2021-2025), rechallenge is likely restricted to patients who have achieved complete renal recovery (Grade 0-1) and are monitored with heightened vigilance (e.g., weekly creatinine/biomarker surveillance) (<xref ref-type="bibr" rid="B37">37</xref>). Furthermore, the increasing use of concomitant low-dose maintenance steroids or alternative immunosuppressants (e.g., mycophenolate, infliximab) during rechallenge in refractory cases may be dampening recurrence risks, a practice pattern that was virtually non-existent in earlier cohorts (<xref ref-type="bibr" rid="B38">38</xref>). This discrepancy highlights the limitations of comparing &#x201c;raw&#x201d; rates across decades. The &#x201c;Cortazar cohort&#x201d; represented the pioneers navigating uncharted territory; the &#x201c;Chuang and Zhou cohorts&#x201d; represent a mature field applying learned lessons. Our meta-analysis confirms that the modern risk of recurrence is manageable and should not preclude the resumption of potentially curative cancer therapy.</p>
<p>Our finding that the odds ratio for steroid efficacy has attenuated over time warrants careful comparison with the landmark study by Manohar et&#xa0;al., which reported near-universal recovery with early steroid initiation (<xref ref-type="bibr" rid="B39">39</xref>). The varying effect sizes likely stem from the definition of the &#x201c;control&#x201d; arm. In early studies, patients not receiving steroids were often those with unrecognized AKI or those deemed too frail for treatment, creating a bias against the non-steroid group. In recent real-world datasets, the non-steroid group increasingly includes patients with &#x201c;presumed ATN&#x201d; or mild AKI managed with hydration alone&#x2014;many of whom recover spontaneously. This mirrors the trajectory seen in other irAEs, such as ICI-hepatitis, where guidelines have shifted from mandatory steroids to a &#x201c;watch-and-wait&#x201d; approach for lower-grade toxicity (<xref ref-type="bibr" rid="B40">40</xref>). Our data supports the position of the revised 2025 ASCO/NCCN guidelines, suggesting that a trial of conservative management is appropriate for Grade 1 and selected Grade 2 ICI-AKI cases, reserving steroids for progressive or biopsy-proven disease (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>The shift in recurrence rates also invites comparison with the fundamental biology of T-cell memory. Research by Rauber et&#xa0;al. suggests that tissue-resident memory T cells (TRM) drive recurrent irAEs (<xref ref-type="bibr" rid="B42">42</xref>). The lower recurrence rates observed in our updated analysis might imply that prolonged intervals between the initial event and rechallenge (a common feature in recent studies) allow for the attrition of these pathogenic kidney-resident clones. Alternatively, the &#x201c;successful&#x201d; rechallenge patients might represent a distinct immunological phenotype&#x2014;those whose initial AKI was driven by transient, circulating effectors rather than entrenched tissue-resident memory (<xref ref-type="bibr" rid="B43">43</xref>).</p>
<p>A novel and hypothesis-generating finding of our study is the &#x201c;Age Paradox,&#x201d; where younger patients face a higher incidence of initial injury, while older patients face a higher risk of recurrence. This dichotomy can be understood through the lens of immunosenescence and nephron reserve. Younger patients typically possess a more robust and responsive immune system. Upon checkpoint blockade, the magnitude of T-cell disinhibition and the subsequent &#x201c;cytokine storm&#x201d; may be more intense, leading to a higher likelihood of off-target inflammation (higher incidence) (<xref ref-type="bibr" rid="B44">44</xref>). This aligns with data from melanoma trials showing that younger age is a predictor for high-grade irAEs (<xref ref-type="bibr" rid="B45">45</xref>). However, younger patients also possess a robust &#x201c;renal functional reserve&#x201d;&#x2014;a high density of healthy nephrons capable of repair and compensatory hypertrophy (<xref ref-type="bibr" rid="B46">46</xref>). Consequently, even if they experience a second inflammatory hit upon rechallenge, their kidneys can withstand the insult without manifesting as clinical AKI (lower recurrence). Conversely, elderly patients (affected by &#x201c;inflammaging&#x201d;) may mount a more sluggish initial autoimmune response. However, their kidneys are characterized by glomerulosclerosis, tubulointerstitial fibrosis, and a critical lack of functional reserve (<xref ref-type="bibr" rid="B47">47</xref>). When these patients are rechallenged, even a minor, sub-clinical inflammatory insult&#x2014;which a younger kidney would absorb&#x2014;may precipitate a decline in GFR that crosses the threshold of clinical AKI (higher recurrence). This hypothesis, while requiring mechanistic validation, suggests that age should be a primary factor in the risk-benefit calculation for rechallenge: younger patients can be rechallenged with confidence, whereas older patients require stringent monitoring of renal function, potentially utilizing novel biomarkers like urine retinol-binding protein or kidney injury molecule-1 (KIM-1) to detect sub-clinical injury before overt failure (<xref ref-type="bibr" rid="B48">48</xref>).</p>
</sec>
<sec id="s5">
<label>5</label>
<title>Limitations</title>
<p>Our study has several limitations inherent to meta-analyses of observational data. First, the high heterogeneity observed in the incidence analysis persists despite subgroup stratification, reflecting the irreducible variability in clinical practice and patient populations across the globe. Second, the included studies utilized varying definitions of AKI, ranging from creatinine-based KDIGO criteria to symptom-based CTCAE grading. This heterogeneity, combined with the lack of universal biopsy confirmation in registry data, may result in the misclassification of hemodynamic AKI (ATN) as ICI-AKI, potentially diluting incidence estimates and confounding steroid efficacy analyses. While we prioritized studies with adjudicated outcomes, some misclassification of ATN as ICI-AKI is inevitable in real-world data, which may dilute the apparent efficacy of steroids. Third, while we identified an age-related signal, we lacked granular data to control for specific comorbidities (e.g., pre-existing CKD stages) in the meta-regression, which could confound the relationship between age and recurrence. Additionally, the &#x2018;rechallenge&#x2019; population is subject to significant survivorship bias. This cohort represents a highly selected subgroup of patients who achieved renal recovery and maintained a performance status sufficient for further therapy. Therefore, our pooled recurrence rate of ~14% should be interpreted as the risk for eligible, recovered candidates, and cannot be generalized to patients with residual renal dysfunction or severe initial injury. Finally, our funnel plot analysis reveals an asymmetry consistent with publication bias or ascertainment bias in smaller, early cohorts (Seethapathy et&#xa0;al., Meraz-Munoz et&#xa0;al.), which reported rates &gt;5%. Conversely, recent large-scale registries (Chuang et&#xa0;al.) stabilize the incidence at ~1.9-2.6%. This confirms that &#x2018;real-world&#x2019; incidence is lower than initially feared in academic centers.</p>
</sec>
<sec id="s6" sec-type="conclusions">
<label>6</label>
<title>Conclusion</title>
<p>This updated meta-analysis, anchored by the most recent large-scale evidence, redefines the clinical framework for ICI-associated AKI. We provide compelling evidence that the risk of recurrent AKI upon immunotherapy rechallenge is substantially lower than historically reported, overturning a decade of therapeutic nihilism. Furthermore, we unveil a critical divergence in risk profiles based on age, identifying younger patients as a high-incidence but high-resilience subgroup, and the elderly as a vulnerable population during rechallenge. These findings should empower clinicians to abandon the practice of permanent ICI discontinuation for all AKI cases. Instead, we advocate for a confident, active management strategy: optimizing renal recovery with judicious steroid use and aggressively pursuing rechallenge in eligible patients, thereby ensuring that the kidneys do not become a barrier to cancer survival.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>DZ: Writing &#x2013; original draft, Data curation, Formal Analysis, Conceptualization, Writing &#x2013; review &amp; editing, Methodology, Investigation, Software. XG: Writing &#x2013; review &amp; editing, Software, Methodology. DL: Investigation, Data curation, Writing &#x2013; review &amp; editing. YY: Writing &#x2013; review &amp; editing, Methodology, Project administration. WL: Resources, Project administration, Funding acquisition, Writing &#x2013; review &amp; editing, Supervision.</p></sec>
<sec id="s10" sec-type="COI-statement">
<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 id="s11" sec-type="ai-statement">
<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 id="s12" sec-type="disclaimer">
<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>
<ref-list>
<title>References</title>
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<mixed-citation publication-type="journal">
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