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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2026.1650351</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Validation of the predictive value of combined prealbumin and lymphocyte score for prognosis of stage II/III gastric cancer following curative resection</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Peng</surname><given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Tan</surname><given-names>Yan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Cheng</surname><given-names>Jun</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname><given-names>Zhengchun</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/950368/overview"/>
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<contrib contrib-type="author">
<name><surname>Ou</surname><given-names>Shuangyan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Luo</surname><given-names>Jia</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Xiao</surname><given-names>Hua</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1517564/overview"/>
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<aff id="aff1"><label>1</label><institution>Department of Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University</institution>, <city>Changsha</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Gastroenterology and Urology Department II, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University</institution>, <city>Changsha</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Hepatobiliary and Intestinal Surgery, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University</institution>, <city>Changsha</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Gastroduodenal and Pancreatic Surgery, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University</institution>, <city>Changsha</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Hua Xiao, <email xlink:href="mailto:huakexh2010@163.com">huakexh2010@163.com</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-12">
<day>12</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>16</volume>
<elocation-id>1650351</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>24</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Peng, Tan, Cheng, Wu, Ou, Luo and Xiao.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Peng, Tan, Cheng, Wu, Ou, Luo and Xiao</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-12">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>Objective</title>
<p>Our previous study found that the combined prealbumin and lymphocyte (Co-PaL) score could accurately classify patients into severe, mild to moderate malnutrition and good nutrition, and might be a predictor for prognosis of patients undergoing gastrectomy for stage II/III gastric cancer (GC). The aim of the present study was to validate these findings.</p>
</sec>
<sec>
<title>Methods</title>
<p>The medical records of stage II/III GC patients undergoing curative resection in our hospital from January, 2017 to December, 2023 were retrospectively reviewed. Basing on whether the lymphocyte count was &lt;1.5 &#xd7;10<sup>9</sup>/L and/or the prealbumin concentration &lt;180 mg/L, patients were assigned a Co-PaL score of 0, 1 or 2, respectively. A nomogram was established basing on independent predictors for OS identified by univariate and multivariate Cox regression analyses. Concordance index and calibration curves were used to evaluate the nomogram. Clinical utility and predictive accuracy were further assessed by net reclassification index (NRI), integrated discrimination improvement (IDI) and decision curve analysis (DCA).</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 890 consecutive patients were recruited. Multivariate regression analyses revealed that Co-PaL score, TNM stage, post-operative complications and adjuvant chemotherapy were independent predictors for OS. A nomogram based on these four variables was established. The C-index value obtained for the model was 0.701 (95%CI: 0.672-0.729). The area under the curve (AUC) values to predict the 1- 3- and 5-year survival probabilities were 0.709 (95%CI: 0.662-0.756), 0.728 (95%CI: 0.692-0.764) and 0.734 (95%CI: 0.695-0.7772), respectively. The calibration curves represented fine consistency between the actual and predicted 1-, 3- and 5-year survival probabilities. Compared with TNM staging system, our model demonstrated strong accuracy, discriminative ability, and clinical utility.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The Co-PaL score was a simple and promising predictor for prognosis of patients undergoing gastrectomy for stage II/III GC. The established nomogram showed superiority over TNM staging system in predicting OS.</p>
</sec>
</abstract>
<kwd-group>
<kwd>gastric cancer</kwd>
<kwd>prealbumin</kwd>
<kwd>lymphocyte</kwd>
<kwd>prognosis</kwd>
<kwd>nomogram</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by Health Research Project of Hunan Provincial Health Commission (20256298), Research Project of Hunan Provincial Health Care Special Fund in 2022 (B2022-04), High-Level Talent Support Program of Hunan Cancer Hospital(20250731-1004, 20250731-1020). The funder had no role in the design, analysis or writing of this article.</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="39"/>
<page-count count="11"/>
<word-count count="5093"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Gastrointestinal Cancers: Gastric and Esophageal Cancers</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Gastric cancer (GC) is one of the most frequently diagnosed malignancies, with both the incidence and mortality ranked fifth worldwide (<xref ref-type="bibr" rid="B1">1</xref>). Unfortunately, nearly 70% of GC patients in Western countries and China are diagnosed at the locally advanced stage and even at the advanced stage (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>). At the present time, curative resection (radical gastrectomy and D2 lymphadenectomy) and peri-operative chemotherapy is the recommended standard management for locally advanced GC (LAGC) (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Although GC managements have dramatically improved, the prognosis of LAGC remains unsatisfactory. Recurrences commonly occur the majority of which appear within 2 years after surgery (<xref ref-type="bibr" rid="B8">8</xref>). The pathological tumor-lymph node-metastasis (TNM) classification system is the most frequently utilized predictor for prognosis of patients with GC. But in clinical practice, it is fairly common to encounter patients with the same tumor stage but with significantly different long term outcomes. Therefore, it is necessary to investigate further the underlying mechanism(s) of the disease and other influencing factors (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>There is increasing evidence that a patient&#x2019;s immune and nutrition status is associated with not only post-operative complications, but also oncological outcomes of patients with various cancers (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). Among these, for example, serum albumin and prealbumin concentrations, neutrophil and lymphocyte counts and C reactive protein (CRP), are the most frequently utilized indicators for immune and nutrition status (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). In addition, several combined indexes, including the modified Glasgow Prognostic Score (mGPS) and prognostic nutritional index (PNI), have also been proposed and identified to be independent predictors for the prognosis of several types of malignancies (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B19">19</xref>). In one of our previous studies that involved 731 stage II or III GC patients who undergoing radical gastrectomy, the optimal cut-off values of prealbumin concentration and lymphocyte count for overall survival (OS) were set as 180 mg/L and 1.5 &#xd7;10<sup>9</sup>/L determined by X-tile (<xref ref-type="bibr" rid="B18">18</xref>). Further univariate analysis and multivariate Cox regression analyses confirmed that both a prealbumin concentration &lt; 180 mg/L and a lymphocyte count &lt; 1.5 &#xd7;10<sup>9</sup>/L were confirmed to be significant predictor for disease free survival (DFS) and OS. Thereafter, a new index, the combined prealbumin and lymphocyte (Co-PaL) score, was established by combining the prealbumin and lymphocyte values. The exact calculation method was as follows: patients with a prealbumin concentration &lt; 180 mg/L and a lymphocyte count &lt; 1.5 &#xd7;10<sup>9</sup>/L were given a Co-PaL score of 2, indicating severe malnutrition. Patients with one of these conditions were given a Co-PaL score of 1, indicating mild to moderate malnutrition. Patients with neither of these conditions were given a Co-PaL score of 0, indicating good nutrition. Internal validation (subgroup analyses) found that both OS and DFS were significantly different among patients with a Co-PaL score of 0, 1 and 2, separately. But these conclusions have not been unequivocally validated externally. In this retrospective cohort study involving a large sample size from a tertiary center, a nomogram was established to validate the predictive value of the Co-PaL score in stage II or III GC patients after radical gastrectomy.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study design</title>
<p>The medical data of consecutive adult patients (&#x2265; 18 years old) with pathologically confirmed GC who underwent radical gastrectomy from January, 2017 to December, 2023 in our hospital were retrospectively reviewed. Patients with pTNM stage I or IV disease, missing essential clinical, laboratory and/or pathological data (especially prealbumin level), death or losing follow-up within 3 months after their operations were excluded. A schematic illustration of the study is shown in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>, which was approved by the ethics committee of the Hunan Cancer Hospital (No. 72 of quick review in 2025) and complied with the Declaration of Helsinki. Written informed consent to undergo an operation and for the use of their clinic-pathological and follow-up data was obtained from all patients before operation.</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="fonc-16-1650351-g001.tif">
<alt-text content-type="machine-generated">Flowchart detailing the inclusion and exclusion criteria for a study on patients who underwent curative gastrectomy for gastric cancer from January 2017 to December 2023. Out of 3349 patients, 2459 were excluded due to specific reasons including: pTNM stage I cancer (922), pTNM stage IV cancer (52), missing pTNM stage data (12), missing clinical/laboratory data like prealbumin level (1362), and losing follow-up or death within three months after surgery (111). A total of 890 patients were included, categorized into Co-PaL scores: score 0 (453), score 1 (347), and score 2 (90).</alt-text>
</graphic></fig>
</sec>
<sec id="s2_2">
<title>Peri-operative managements and follow-ups</title>
<p>The peri-operative management and follow-up strategies have been documented in our previous studies (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Briefly, gastric resection and lymph node dissection were performed in accordance with GC treatment guidelines (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Post-operative morbidity was recorded and classified according to the Clavien-Dindo staging system (<xref ref-type="bibr" rid="B21">21</xref>). A small number of patients with T3-4 or N+ diseases received 2-4 cycles of neoadjuvant chemotherapy (NAC), whereas the majority of patients underwent surgery and adjuvant chemotherapy (AC). The most commonly administered drugs for chemotherapy were platinum- and fluorouracil-based regimens, including SOX (S-1 and oxaliplatin) and CapOx (capecitabine and oxaliplatin), et&#xa0;al. (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Patients were followed up every 3 to 6 months by outpatient examinations or telephone. The cutoff for the follow-up time was December 2024. OS time was measured from the day of a patient&#x2019;s operation until death or the last follow-up time, whichever occurred first. DFS time was calculated from the operation to GC recurrence, death or the last follow-up time.</p>
</sec>
<sec id="s2_3">
<title>Data collection</title>
<p>The demographic, laboratory, imaging, pathological, operative, adjuvant therapy and follow-up data were retrospectively collected and analyzed. The prealbumin levels and lymphocyte count were collected at the time when the patients&#x2019; admission planning to receive surgery. The time intervals were usually 3 to 7 days between laboratory examinations and operation in our hospital. For those undergoing NAC, the basic prealbumin levels and lymphocyte count when their first admission were used to avoid the influence of chemotherapy. The PNI score was generated thus: serum albumin concentration (g/L) + 0.005 &#xd7; the total lymphocyte count in peripheral blood (/mm3). The neutrophil-to-lymphocyte ratio (NLR) was calculated as the absolute value of neutrophil count divided by the absolute value of lymphocyte. The Co-PaL score was defined according to our previous study (<xref ref-type="bibr" rid="B18">18</xref>): a lymphocyte count &lt; 1.5 &#xd7; 10<sup>9</sup>/L and prealbumin concentration &lt; 180 mg/L was given a score of 1 each, whereas a lymphocyte count &#x2265; 1.5 &#xd7; 10<sup>9</sup>/L and prealbumin &#x2265; 180 mg/L was given a score of 0.</p>
</sec>
<sec id="s2_4">
<title>Statistical analysis</title>
<p>Categorical variables are presented as numbers (%) and compared using a &#x3c7;<sup>2</sup> or Fisher&#x2019;s exact tests, as appropriate. Continuous variables are given as the mean &#xb1; standard deviation (SD) and were compared using Student&#x2019;s <italic>t</italic>-test if normally distributed. The optimal cutoff value for NLR was determined by X-tile (3.6.1 software 20, <ext-link ext-link-type="uri" xlink:href="http://medicine.yale.edu/lab/rimm/research/software.aspx">http://medicine.yale.edu/lab/rimm/research/software.aspx</ext-link>), as previously described (<xref ref-type="bibr" rid="B18">18</xref>). Kaplan-Meier curves and the log rank test were utilized to look for differences in survival times. All variables with a <italic>P-</italic>value &lt; 0.05 in the univariate analyses were further entered into a multivariate Cox regression model, to reveal the independent risk factors influencing OS. Data analysis was performed using R (version 4.0.1) or SPSS (version 27.0) software. A difference with a bilateral <italic>P</italic>-value &lt; 0.05 was defined as a statistically significant finding.</p>
</sec>
<sec id="s2_5">
<title>Nomogram establishment and evaluation</title>
<p>A nomogram was constructed utilizing the independent prognosticators for OS in multivariate Cox regression analyses. With respect to each patient, the first line displayed the definite point endowed for each predictor loading on the risk factor axis. Then, the survival probability could be assessed by calculating the sum of each point. Receiver operating characteristic (ROC) curves were plotted and the concordance index (C-index) was generated to evaluate the performance of the nomogram. Calibration curves (1,000 bootstrap resamples) were constructed to assess the predictive ability of the nomogram. Decision curve analysis (DCA) was employed to assess the net benefit of the clinical practicability of the nomogram compared with the TNM stage. Finally, the Net Reclassification Index (NRI) and Integrated Discrimination Improvement (IDI) was used to quantitatively compare the prognostic performance of our model against the commonly used 8<sup>th</sup> edition TNM staging system.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Characteristics of patients</title>
<p>As shown in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>, a total of 890 patients were finally recruited and the basic characteristics of the entire cohort are listed in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. Taken together, the majority of participants were male (63.5%), with stage III disease (68.8%), undergoing distal sub-total gastrectomy (67.8%), by open procedures (56.0%) and receiving AC (74.6%). The mean age was 57.30 years (23-86), body mass index (BMI) 22.18 kg/m<sup>2</sup> (range 14.88-36.63), and the mean post-operative hospital stay 11.55 days (range 4-88). One hundred and eighteen patients (13.26%) suffered from grade II or greater post-operative complications defined by the Clavien-Dindo classification system. In total, the Co-PaL score was defined as 0, 1 and 2 in 453 (50.9%), 347 (39.0%) and 90 (10.1%) patients, separately. As shown in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>, patients with higher Co-PaL scores, were more likely to have worse general conditions (such as an older age, lower BMI, lower hemoglobin, albumin and prealbumin concentrations and lower lymphocyte counts), more likely to have lymph node metastasis and develop complications, but less likely to undergo AC.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Relationship between Co-PaL scores and clinicopathologic characteristics of patients undergoing radical gastrectomy for stage II/III gastric cancer (n =890).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Variables</th>
<th valign="middle" colspan="3" align="center">Co-PaL score</th>
<th valign="middle" rowspan="2" align="center">P-value</th>
</tr>
<tr>
<th valign="middle" align="center">0 (n =453)</th>
<th valign="middle" align="center">1 (n =347)</th>
<th valign="middle" align="center">2 (n =90)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Sex</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.032</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">306 (67.55%)</td>
<td valign="middle" align="left">208 (59.94%)</td>
<td valign="middle" align="left">51 (66.67%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">147 (32.45%)</td>
<td valign="middle" align="left">139 (40.06%)</td>
<td valign="middle" align="left">39 (43.33%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="left">55.96 &#xb1; 11.23</td>
<td valign="middle" align="left">57.95 &#xb1; 11.05</td>
<td valign="middle" align="left">61.61 &#xb1; 10.25</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Body mass index (kg/m<sup>2</sup>)</td>
<td valign="middle" align="left">22.74 &#xb1; 3.08</td>
<td valign="middle" align="left">21.73 &#xb1; 3.10</td>
<td valign="middle" align="left">21.07 &#xb1; 3.69</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Comorbidities</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.515</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">135 (29.80%)</td>
<td valign="middle" align="left">98 (28.24%)</td>
<td valign="middle" align="left">31 (34.44%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">318 (70.20%)</td>
<td valign="middle" align="left">249 (71.76%)</td>
<td valign="middle" align="left">59 (65.56%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Peri-operative blood transfusion</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">58 (12.80%)</td>
<td valign="middle" align="left">86 (24.78%)</td>
<td valign="middle" align="left">35 (38.89%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">395 (87.20%)</td>
<td valign="middle" align="left">261 (75.22%)</td>
<td valign="middle" align="left">55 (61.11%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Lymphocyte count (&#xd7;10<sup>9</sup>/L)</td>
<td valign="middle" align="left">2.04 &#xb1; 0.48</td>
<td valign="middle" align="left">1.50 &#xb1; 0.67</td>
<td valign="middle" align="left">1.11 &#xb1; 0.26</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Hemoglobin (g/L)</td>
<td valign="middle" align="left">127.10 &#xb1; 23.36</td>
<td valign="middle" align="left">114.02 &#xb1; 24.69</td>
<td valign="middle" align="left">95.99 &#xb1; 24.86</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Albumin (g/L)</td>
<td valign="middle" align="left">41.84 &#xb1; 3.85</td>
<td valign="middle" align="left">39.81 &#xb1; 4.35</td>
<td valign="middle" align="left">36.47 &#xb1; 4.70</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Prealbumin (mg/L)</td>
<td valign="middle" align="left">261.15 &#xb1; 53.79</td>
<td valign="middle" align="left">216.03 &#xb1; 63.33</td>
<td valign="middle" align="left">136.15 &#xb1; 34.67</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">PNI score</td>
<td valign="middle" align="left">52.08 &#xb1; 4.88</td>
<td valign="middle" align="left">47.33 &#xb1; 5.51</td>
<td valign="middle" align="left">42.05 &#xb1; 5.06</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">NLR</td>
<td valign="middle" align="left">1.81 &#xb1; 0.91</td>
<td valign="middle" align="left">2.51 &#xb1; 1.70</td>
<td valign="middle" align="left">4.07 &#xb1; 4.30</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Neo-adjuvant chemotherapy</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.130</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">58 (12.80%)</td>
<td valign="middle" align="left">60 (17.29%)</td>
<td valign="middle" align="left">10 (11.11%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">395 (87.20%)</td>
<td valign="middle" align="left">287 (82.71%)</td>
<td valign="middle" align="left">80 (88.88%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Operation method</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.998</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Open</td>
<td valign="middle" align="left">254 (56.07%)</td>
<td valign="middle" align="left">153 (44.09%)</td>
<td valign="middle" align="left">39 (43.33%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Laparoscopy</td>
<td valign="middle" align="left">199 (43.93%)</td>
<td valign="middle" align="left">194 (55.91%)</td>
<td valign="middle" align="left">51 (56.67%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Type of resection</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.730</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Distal subtotal gastrectomy</td>
<td valign="middle" align="left">306 (67.55%)</td>
<td valign="middle" align="left">236 (68.01%)</td>
<td valign="middle" align="left">61 (67.78%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Proximal subtotal gastrectomy</td>
<td valign="middle" align="left">3 (0.66%)</td>
<td valign="middle" align="left">4 (1.15%)</td>
<td valign="middle" align="left">2 (2.22%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Total gastrectomy</td>
<td valign="middle" align="left">144 (31.79%)</td>
<td valign="middle" align="left">107 (30.84%)</td>
<td valign="middle" align="left">27 (30.00%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Depth of invasion*</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.709</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T1</td>
<td valign="middle" align="left">16 (3.53%)</td>
<td valign="middle" align="left">12 (3.46%)</td>
<td valign="middle" align="left">1 (1.11%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T2</td>
<td valign="middle" align="left">55 (12.14%)</td>
<td valign="middle" align="left">32 (9.22%)</td>
<td valign="middle" align="left">11 (12.22%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T3</td>
<td valign="middle" align="left">116 (25.61%)</td>
<td valign="middle" align="left">89 (25.65%)</td>
<td valign="middle" align="left">26 (28.89%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T4</td>
<td valign="middle" align="left">266 (58.72%)</td>
<td valign="middle" align="left">214 (61.67%)</td>
<td valign="middle" align="left">52 (57.78%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Lymph node metastasis stage*</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.035</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;N0</td>
<td valign="middle" align="left">77 (17.00%)</td>
<td valign="middle" align="left">70 (20.17%)</td>
<td valign="middle" align="left">9 (10.00%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;N1</td>
<td valign="middle" align="left">96 (21.19%)</td>
<td valign="middle" align="left">59 (17.00%)</td>
<td valign="middle" align="left">17 (18.89%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;N2</td>
<td valign="middle" align="left">126 (27.81%)</td>
<td valign="middle" align="left">83 (23.92%)</td>
<td valign="middle" align="left">19 (21.11%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;N3</td>
<td valign="middle" align="left">154 (34.00%)</td>
<td valign="middle" align="left">135 (38.90%)</td>
<td valign="middle" align="left">45 (50.00%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">TNM stage*</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.144</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;II</td>
<td valign="middle" align="left">148 (32.67%)</td>
<td valign="middle" align="left">110 (31.70%)</td>
<td valign="middle" align="left">20 (22.22%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="middle" align="left">305 (67.33%)</td>
<td valign="middle" align="left">237 (68.30%)</td>
<td valign="middle" align="left">70 (77.78%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Post-operative complications &#x2020;</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.039</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">48 (10.60%)</td>
<td valign="middle" align="left">53 (15.27%)</td>
<td valign="middle" align="left">17 (18.89%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">405 (89.40%)</td>
<td valign="middle" align="left">294 (84.73%)</td>
<td valign="middle" align="left">73 (81.11%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Peri-operative blood transfusion</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Post-operative hospital stay (days)</td>
<td valign="middle" align="left">11.48 &#xb1; 6.56</td>
<td valign="middle" align="left">11.80 &#xb1; 5.87</td>
<td valign="middle" align="left">10.89 &#xb1; 3.75</td>
<td valign="middle" align="left">0.426</td>
</tr>
<tr>
<td valign="middle" align="left">Adjuvant chemotherapy</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">363 (80.13%)</td>
<td valign="middle" align="left">243 (70.03%)</td>
<td valign="middle" align="left">58 (64.44%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">90 (19.87%)</td>
<td valign="middle" align="left">104 (29.97%)</td>
<td valign="middle" align="left">32 (35.56%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Peri-operative chemotherapy cycles</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.002</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;0</td>
<td valign="middle" align="left">82 (18.10%)</td>
<td valign="middle" align="left">92 (26.51%)</td>
<td valign="middle" align="left">32 (35.56%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1-5</td>
<td valign="middle" align="left">167 (36.87%)</td>
<td valign="middle" align="left">107 (30.84%)</td>
<td valign="middle" align="left">24 (26.67%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265; 6</td>
<td valign="middle" align="left">204 (45.03%)</td>
<td valign="middle" align="left">148 (42.65%)</td>
<td valign="middle" align="left">34 (37.78%)</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are presented as mean &#xb1; standard deviation or number (%).</p></fn>
<fn>
<p>Co-PaL, the combined prealbumin and lymphocyte; NLR, neutrophil-to-lymphocyte ratio; PNI, prognostic nutritional index.</p></fn>
<fn>
<p>*Tumor stages are based on 8th edition of the Union for International Cancer Control TNM classification.</p></fn>
<fn>
<p>&#x2020;Defined as Clavien-Dindo grade II or greater.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Risk factors for prognosis</title>
<p>A total of 387 cases of deaths (43.5%) were recorded within the median follow-up time of 38 months (range, 4-95), with an estimated median OS (mOS) of 76 months for the entire cohort of 890 patients.</p>
<p>As shown in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>, univariate analysis revealed that age, BMI, the Co-PaL and PNI scores, TNM stage, blood transfusion, complications and AC were potential risk factors for OS (all <italic>P</italic> &lt; 0.05). Further multivariate Cox regression analysis containing these variables confirmed that only the Co-PaL score, TNM stage, complications and AC were significant predictors. In contrast, age, BMI, the PNI score and blood transfusion all lost their significance after multivariate analysis (all <italic>P</italic> &gt; 0.05). The estimated mOS in patients with Co-PaL scores of 0, 1 and 2 were not available (NA), 63 and 45 months, respectively (<italic>P</italic> &lt; 0.001). Compared to patients with a Co-PaL score of 0, those with a score of 1 (hazard ratio (HR): 1.293, 95% confidence interval (CI): 1.042-1.604, <italic>P</italic> = 0.020) and 2 (HR: 1.519, 95% CI: 1.108-2.083, <italic>P</italic> = 0.009) had significant poorer prognosis.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Univariate and multivariate analyses of prognostic factors for overall survival after radical resection of stage II/III gastric cancer (n =890).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Variables</th>
<th valign="middle" align="center">N (%)</th>
<th valign="middle" align="center">Median OS (months)</th>
<th valign="middle" align="center">UV <italic>P</italic> value</th>
<th valign="middle" align="center">MV HR (95% CI)</th>
<th valign="middle" align="center">MV <italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Gender</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.848</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="center">565 (63.48%)</td>
<td valign="middle" align="center">87.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="center">325 (36.52%)</td>
<td valign="middle" align="center">66.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.008</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.484</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265; 65</td>
<td valign="middle" align="center">248 (27.87%)</td>
<td valign="middle" align="center">51.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt; 65</td>
<td valign="middle" align="center">642 (72.13%)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.062 (0.843-1.337)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Body mass index (kg/m<sup>2</sup>)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.006</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.055</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265; 25.0</td>
<td valign="middle" align="left">156 (17.53%)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;18.5-24.9</td>
<td valign="middle" align="center">626 (70.34%)</td>
<td valign="middle" align="center">72.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.354 (1.004-1.825)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt; 18.5</td>
<td valign="middle" align="center">108 (12.13%)</td>
<td valign="middle" align="center">48.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.559 (1.058-2.299)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Comorbidities</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.875</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">264 (29.66%)</td>
<td valign="middle" align="center">87.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">626 (70.34%)</td>
<td valign="middle" align="center">74.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Pre-treatment hemoglobin (g/L)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.069</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265; 100</td>
<td valign="middle" align="center">673 (75.62%)</td>
<td valign="middle" align="center">90.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt; 100</td>
<td valign="middle" align="center">217 (24.38%)</td>
<td valign="middle" align="center">54.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Co-PaL score</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.011</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;0</td>
<td valign="middle" align="left">453 (50.90%)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1</td>
<td valign="middle" align="left">347 (38.99%)</td>
<td valign="middle" align="center">63.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.293 (1.042-1.604)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;2</td>
<td valign="middle" align="left">90 (10.11%)</td>
<td valign="middle" align="center">45.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.519 (1.108-2.083)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">PNI score</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.002</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.665</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265; 50</td>
<td valign="middle" align="left">416 (46.74%)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;40-50</td>
<td valign="middle" align="left">416 (46.74%)</td>
<td valign="middle" align="center">57.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.226 (0.973-1.546)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt; 40</td>
<td valign="middle" align="left">58 (6.52%)</td>
<td valign="middle" align="center">51.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.397 (0.973-2.006)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">NLR</td>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.053</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt; 3.25</td>
<td valign="middle" align="left">750 (84.27%)</td>
<td valign="middle" align="center">84.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265; 3.25</td>
<td valign="middle" align="left">140 (15.73%)</td>
<td valign="middle" align="center">51.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">pTNM stage *</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;II</td>
<td valign="middle" align="center">278 (31.24%)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="middle" align="center">612 (68.76%)</td>
<td valign="middle" align="center">42.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3.500<break/>(2.651-4.620)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Peri-operative blood transfusion</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.006</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.955</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">711 (79.89%)</td>
<td valign="middle" align="center">90.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">179 (20.11%)</td>
<td valign="middle" align="center">46.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.967 (0.748-1.250)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Post-operative complications &#x2020;</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.007</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">772 (86.74%)</td>
<td valign="middle" align="center">87.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">118 (13.26%)</td>
<td valign="middle" align="center">38.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.455 (1.106-1.914)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Adjuvant chemotherapy</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">226 (25.39%)</td>
<td valign="middle" align="center">38.0</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">664 (74.61%)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.561 (0.451-0.699)</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are presented as mean &#xb1; standard deviation or number (%).</p></fn>
<fn>
<p>CI, confidence interval; Co-PaL, the combined prealbumin and lymphocyte; HR, hazard ratio; MV, multivariate analysis; NA, not available; NLR, neutrophil-to-lymphocyte ratio; OS, overall survival; PNI, prognostic nutritional index; UV, univariate analysis.</p></fn>
<fn>
<p>*Tumor stages are based on 8th edition of the Union for International Cancer Control TNM classification.</p></fn>
<fn>
<p>&#x2020;Defined as Clavien-Dindo grade II or greater.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>A tendency of poorer prognosis was found for patients with higher Co-PaL scores in stage II disease by subgroup analysis, but the apparent difference did not reach statistical significance (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>, P = 0.085). Whereas the Co-PaL score could clearly classify patients into low, medium and high risk groups in pTNM stage III disease (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2D</bold></xref>, P = 0.008), in patients developing post-operative complications or not (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2B, E</bold></xref>, <italic>P</italic> = 0.021 and 0.008, respective) and receiving AC or not (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2C, F</bold></xref>, <italic>P</italic> = 0.003 and 0.021, respective). As stratified by peri-operative chemotherapy cycles, patients with Co-PaL score of 2 had significantly worse prognosis comparing to those with score of 0 or 1 and did not receive any cycles of AC (<italic>P</italic> = 0.002). The differences were not significant in those underwent 1-5 or &#x2265; 6 cycles of peri-operative&#xa0;chemotherapy (<italic>P</italic> = 0.128 and 0.069, separately) (<xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Figure&#xa0;1</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Over survival curves in 890 patients who underwent curative resection for stage II/III gastric cancer stratified by Co-PaL score in TNM stage II or III (<bold>(A, D)</bold>, <italic>P</italic> = 0.085 and 0.008), with or without post-operative complications (<bold>(B, E)</bold>, <italic>P</italic> = 0.021 and 0.008), receiving adjuvant chemotherapy or not (<bold>(C, F)</bold>, <italic>P</italic> = 0.003 and 0.021), respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1650351-g002.tif">
<alt-text content-type="machine-generated">Six Kaplan-Meier survival curves show survival probabilities over 100 months after surgery across different strata: A) pTNM Stage II, B) No complications, C) No adjuvant chemotherapy, D) pTNM Stage III, E) Complications, F) Adjuvant chemotherapy. Each graph includes Co-PaL scores: zero (red), one (blue), two (yellow). Survival probability and number at risk over time are displayed.</alt-text>
</graphic></fig>
<p>The Co-PaL score was also identified as a significant risk factor for DFS (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>). Compared to patients with a Co-PaL score of 0, those with a score of 1 (HR: 1.268, 95% CI: 1.023-1.571, <italic>P</italic> = 0.030) and 2 (HR: 1.537, 95% CI: 1.123-2.102, <italic>P</italic> = 0.007) had significantly poorer DFS. The PNI score lost its significance for DFS after multivariate analysis again (<italic>P</italic> = 0.589).</p>
</sec>
<sec id="s3_3">
<title>Nomogram establishment and evaluation</title>
<p>In accordance with the multivariate analyses, the Co-PaL score, TNM stage, complications and AC were used to establish a nomogram to assess the OS probability (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). As shown in <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>, the area under the curve (AUC) values to predict the 1- 3- and 5-year survival probabilities were 0.709 (95% CI: 0.662-0.756), 0.728 (95% CI: 0.692-0.764), and 0.734 (95% CI: 0.695-0.7772), respectively. The corresponding Harrell C-index value of the model was 0.701 (95% CI: 0.672-0.729). Taken together, the nomogram showed good predictive ability. As shown in <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>, calibration curves displayed fine consistency between the actual and predicted survival probabilities at 1-, 3- and 5-years. The DCA curves showed the established predictive model was superior in predicting OS rates at 1-, 3- and 5-years compared to the commonly used TNM tumor classification system (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4B&#x2013;D</bold></xref>). In addition, the NRI value was 0.294 (95% CI: 0.165-0.423) and the IDI value was 0.030 (95%CI: 0.019-0.042), with both <italic>P</italic>-values &lt; 0.01 comparing with the 8<sup>th</sup> TNM staging system. As a result, the newly established nomogram had significantly improved the predictive accuracy.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>A nomogram to predict 1-, 3- and 5-year overall survival probability of stage II/III gastric cancer patients undergoing curative resection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1650351-g003.tif">
<alt-text content-type="machine-generated">Nomogram chart for cancer prognosis showing scales for Points, Co-PaL Score, pTNM stage, post-operative complications, adjuvant chemotherapy, and total points. It includes survival probabilities for one, three, and five years, with corresponding calibrations for each measure.</alt-text>
</graphic></fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Receiver operating characteristic (ROC) area under the curve (AUC) values of the nomogram for predicting 1-, 3- and 5-year survival probability of stage II/III gastric cancer patients undergoing curative resection <bold>(A)</bold>. Decision curve analysis (DCA) of the nomogram were plotted basing on the 1-, 3- and 5-year overall survival, respectively (<bold>B-D</bold>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1650351-g004.tif">
<alt-text content-type="machine-generated">Panel A shows a Receiver Operating Characteristic curve with AUC values of 0.709 at 1 year, 0.728 at 3 years, and 0.734 at 5 years. Panels B, C, and D depict decision curve analyses with high-risk thresholds for 1, 3, and 5 years, comparing nomogram models with TNM staging. A standardized net benefit is plotted against high-risk thresholds, with lines for different models.</alt-text>
</graphic></fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Calibration curves for the nomogram to predict 1-, 3- and 5-year overall survival for stage II/III gastric cancer patients undergoing radical gastrectomy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1650351-g005.tif">
<alt-text content-type="machine-generated">Three calibration plots depicting survival predictions over one, three, and five years. Each plot compares predicted survival rates with actual data. The blue line represents optimism-corrected predictions, the black line represents observed data, and the gray line represents an ideal calibration line. The plots measure predicted survival on the x-axis against the fraction surviving at each time frame on the y-axis. Statistical details are noted below each plot.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In our previous study (<xref ref-type="bibr" rid="B18">18</xref>), both a lymphocyte count &lt; 1.5 &#xd7;10<sup>9</sup>/L and a prealbumin concentration &lt; 180 mg/L were identified as independent unfavorable predictors for OS of stage II/III GC patients following curative resection. Thereafter, the newly established Co-PaL score, could accurately classify patients into poor, mild to moderate, and good nutritional statuses and was a potential predictor for prognosis. In order to validate these findings, we conducted this retrospective study by analyzing the medical data of 890 consecutive patients with stage II or III GC. Except for the well-known tumor stage, post-operative complication and AC, the Co-PaL score was also identified as a significant risk factor for OS. Subgroup analyses found that regardless of the tumor stage, complications and AC, the Co-PaL score was significantly associated with prognosis. Furthermore, the established nomogram based on the above mentioned 4 predictors showed a good ability to predict the oncological outcomes. The calibration curves indicated satisfactory consistency between the actual and predicted survival probabilities at 1-, 3- and 5-years. Finally, DCA of the nomogram showed superiority compared to the TNM classification system. As listed in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;2</bold></xref>, the basic characteristics between the development and validation cohort were significantly different, including age, BMI, prealbumin and albumin concentrations, the tumor stage and complications. Validation through a new dataset with a significant difference of basic characteristics ensured the promising predictive value of the Co-PaL score for prognosis in stage II/III GC patients who underwent gastrectomy.</p>
<p>The TNM stage was the most well-established predictor for treatment strategy and prognosis of GC (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B23">23</xref>). As shown in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>, the established nomogram revealed that stage III disease was 100 points higher compared to stage II disease, which was obviously higher than the other 3 variables. Thus, the pTNM stage was identified as the most significant predictor for prognosis in the present study. Post-operative complications, especially infections, are also well-known adverse indicators for the prognosis of various cancer types (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>). Possible explanations include that post-operative complications might delay AC, adversely impact the compliance of AC, cause systemic inflammation and weaken the hosts&#x2019; immunity against cancer cells (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). To reduce and/or delay recurrence after resection, AC has been recommended as the standard management for LAGC worldwide (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Consistent with previous study findings, AC has been confirmed as a protective factor for long-term survival in the present study (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B27">27</xref>). But in clinical practice, it is not uncommon to come across patients who refuse to undergo AC, or could not finish the planned AC regimens for various reasons, such as delayed recovery from surgery, frailty and AC induced toxicity, and so on. Even in the prospective phase 3 CRITICS study, about a quarter of patients did not receive any chemotherapy or chemo-radiotherapy postoperatively as planned. In addition, another 25% of patients did not complete the planned chemotherapy regimen (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>Several studies have found that the completeness of AC affected the prognosis of LAGC (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). In the well-known CLASSIC study (<xref ref-type="bibr" rid="B30">30</xref>), <italic>post hoc</italic> analysis found that patients receiving 6 or more cycles of AC had a significantly better prognosis than those receiving less than 6 cycles. Our previous studies found that poorer nutritional statuses, which were assessed by PNI or BMI, independently affected the completeness of AC (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). In the present study, patients with higher Co-PaL scores, were found to be less likely to receive AC (80.13%, 70.03% and 64.44% in those with Co-PaL score of 0, 1 and 2, respectively, <italic>P</italic> &lt; 0.001). In addition, 45.03%, 42.65% and 37.78% of patients with Co-PaL scores of 0, 1 or 2 completed at least 6 cycles of peri-operative chemotherapy (<italic>P</italic> = 0.002). Thus, the Co-PaL score, which indicate nutritional and immune statuses, might serve as an indicator for compliance of AC, a suggestion which requires further research. Another previous study proved that oral nutritional supplements could improve nutritional outcomes and the completion of planned therapy (<xref ref-type="bibr" rid="B33">33</xref>). As a result, it is reasonable to suppose that such strategies might improve the long term outcomes of LAGC, but further prospective studies are required to verify this conjecture.</p>
<p>Malnutrition occurs commonly in cancer patients, especially in those with digestive system cancers, such as GC (<xref ref-type="bibr" rid="B34">34</xref>). The unique anatomical structure of GC results in an imbalance of nutrient intake and bodily requirements which might partly explain the underlying reasons. Malnutrition, in turn, adversely impacts immune functions. For example, malnutrition may result in an immune-suppressive micro-environment and increase the rate of invasive tumor formation (<xref ref-type="bibr" rid="B35">35</xref>). Nowadays, more and more evidence has accumulated showing that malnutrition and the impaired immune status is not only related to increased post-operative complications and prolonged duration of hospital stays, but also to increased chemotherapy-induced toxicity, influenced the compliance of chemotherapy, and as a result led to a poorer prognosis (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Albumin, prealbumin, lymphocyte and CRP are the most commonly utilized indicators for immunological and nutritional statuses (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). But the conclusions of researchers have not always been uniquely consistent. In a retrospective study of 4,732 GC patients, a lower prealbumin concentration (&lt; 15 mg/dL and 15-22 mg/dL vs. &#x2265; 22 mg/dL) was identified as significant risk factors for OS. Further analysis found that the prealbumin concentration was associated with other cause survival, instead of cancer specific survival (<xref ref-type="bibr" rid="B16">16</xref>). In one of our previous studies involving 731 stage II/III GC patients who underwent operations, a lower prealbumin concentration (&lt; 180 mg/L), instead of albumin, was confirmed as an independent poor predictor for both OS and DFS (<xref ref-type="bibr" rid="B18">18</xref>). The possible explanation was that prealbumin has a significantly smaller body pool and shorter half-life than albumin. Thus prealbumin might serve as a more sensitive indicator for nutritional status.</p>
<p>On the other hand, the lymphocyte count is a simple and widely used indicator to assess immunity. Decreased lymphocyte numbers generally represents an immunosuppressed condition to the attack and elimination of cancer cells, resulting in an unsatisfactory prognosis of various cancer types (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). In one of our previous research projects, 390 GC patients were enrolled from 3 tertiary hospitals who underwent radical gastrectomy and whose peripheral lymphocyte subsets were examined. A T lymphocyte count &lt; 0.84 &#xd7; 10<sup>9</sup>/L was confirmed to be a significant adverse predictor both in the development and validation groups. The ability of antigen directed cyto-toxicity of the T lymphocyte, which plays an essential role in cellular adaptive immunity fighting cancers, might partly explain our findings (<xref ref-type="bibr" rid="B38">38</xref>). But further prospective studies are still awaited to confirm these findings and explore the underlying mechanisms.</p>
<p>There were a number of limitations to the present study. First, it was retrospective in nature and conducted in a single-center; thus, selective bias was likely inevitable. Second, only about 10% of patients (90/890) were assigned a Co-PaL score of 2, which represented severe malnutrition in the present study. The relatively small numbers of patients in some subgroups might have had an impact on the robustness of our conclusions. Third, although the majority of relapses of LAGC occurred within 36 months following resection (<xref ref-type="bibr" rid="B39">39</xref>), the relatively short follow-up duration of 38 months may have been inadequate to gather and analyze late relapses and deaths. Lastly, but by no means least, external validation with large sample size from geographically/institutionally distinct centers is still required to verify our findings, especially in those patients from Western countries, given that management strategies for LAGC differ significantly among the Western and Eastern countries.</p>
<p>In conclusion, this study confirmed that the lymphocyte and prealbumin based Co-PaL score was a promising prognosticator in stage II or III GC after radical gastrectomy. The established nomogram incorporating the Co-PaL score exhibited a satisfactory predictive ability to predict the survival probability at 1-, 3- and 5-years. Further external validation is still needed to assess the accuracy of this nomogram.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p></sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the ethics committee of the Hunan Cancer Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>HX: Writing &#x2013; review &amp; editing, Formal analysis, Conceptualization, Data curation, Funding acquisition. WP: Funding acquisition, Data curation, Conceptualization, Writing &#x2013; original draft. YT: Conceptualization, Data curation, Writing &#x2013; original draft, Funding acquisition. JC: Data curation, Writing &#x2013; original draft. ZW: Data curation, Writing &#x2013; original draft. SO: Writing &#x2013; original draft, Data curation. JL: Data curation, Writing &#x2013; original draft.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors gratefully thank all of the participants in this study and Hunan Cancer Hospital for supporting this study.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors 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="s10" 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="s11" 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>
<sec id="s12" sec-type="supplementary-material">
<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/fonc.2026.1650351/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2026.1650351/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image1.tif" id="SF1" mimetype="image/tiff"><label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Over survival curves in 890 patients who underwent curative resection for stage II/III gastric cancer stratified by Co-PaL score in patients receiving peri-operative chemotherapy cycle &#x2265; 6 <bold>(A)</bold> 1-5 <bold>(B)</bold> or 0 <bold>(C)</bold>.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Table1.doc" id="SM1" mimetype="application/msword"/>
<supplementary-material xlink:href="Table2.doc" id="SM2" mimetype="application/msword"/></sec>
<ref-list>
<title>References</title>
<ref id="B1">
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3327366">Lu Liu</ext-link>, Huazhong University of Science and Technology, China</p></fn>
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