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Objectives <p>Primary tumor resection has been associated with potential enhanced survival in select patients with stage IV metastatic lung squamous cell carcinoma (mLUSCC). However, identifying suitable candidates for surgery remains challenging. This study aimed to develop and validate a prognostic model to select mLUSCC patients likely to benefit from primary tumor resection.</p> Methods <p>Data on stage IV mLUSCC patients were retrieved from the SEER database. Patients were divided into surgery and nonsurgery groups based on primary tumor resection. Propensity score matching (PSM) using covariates including age, T/N stage, grade, metastases, chemotherapy, and others mitigated selection bias. Survival was assessed using Kaplan-Meier curves and Cox proportional hazards models. The surgery group was split randomly (70:30) into training and validation cohorts for model development via multivariate Cox regression.</p> Results <p>Among 18,701 eligible patients, 3.57% (<i>n</i> = 668) underwent primary tumor resection. Post-PSM, median overall survival (mOS) was superior in the surgery group (11 [95% CI: 9–12] vs. 6 [5–6] months; <i>P</i> &lt; 0.0001). The model demonstrated good discriminative ability, with AUCs for 6-, 9-, and 12-month survival of 0.799, 0.746, and 0.744 in the training cohort, and 0.708, 0.727, and 0.667 in the validation cohort. Calibration plots showed excellent agreement between predicted and observed probabilities.</p> Conclusions <p>This internally validated prognostic nomogram aims to identify patients with stage IV metastatic lung squamous cell carcinoma who are most likely to benefit from primary tumor resection, thereby supporting individualized multidisciplinary decision-making. Further external and prospective validation is warranted.</p>

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A SEER derived prognostic nomogram identifies stage IV metastatic lung squamous cell carcinoma patients who may benefit from primary tumor resection

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月13日

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  • Wenyi Liu,
  • Shuhan Xie,
  • Xianxian Wu,
  • Chunguang Wang,
  • Xin Yu,
  • Longde Du,
  • Baihua Zhang,
  • Zhentao Yu,
  • Mingqiang Kang

摘要

Objectives

Primary tumor resection has been associated with potential enhanced survival in select patients with stage IV metastatic lung squamous cell carcinoma (mLUSCC). However, identifying suitable candidates for surgery remains challenging. This study aimed to develop and validate a prognostic model to select mLUSCC patients likely to benefit from primary tumor resection.

Methods

Data on stage IV mLUSCC patients were retrieved from the SEER database. Patients were divided into surgery and nonsurgery groups based on primary tumor resection. Propensity score matching (PSM) using covariates including age, T/N stage, grade, metastases, chemotherapy, and others mitigated selection bias. Survival was assessed using Kaplan-Meier curves and Cox proportional hazards models. The surgery group was split randomly (70:30) into training and validation cohorts for model development via multivariate Cox regression.

Results

Among 18,701 eligible patients, 3.57% (n = 668) underwent primary tumor resection. Post-PSM, median overall survival (mOS) was superior in the surgery group (11 [95% CI: 9–12] vs. 6 [5–6] months; P < 0.0001). The model demonstrated good discriminative ability, with AUCs for 6-, 9-, and 12-month survival of 0.799, 0.746, and 0.744 in the training cohort, and 0.708, 0.727, and 0.667 in the validation cohort. Calibration plots showed excellent agreement between predicted and observed probabilities.

Conclusions

This internally validated prognostic nomogram aims to identify patients with stage IV metastatic lung squamous cell carcinoma who are most likely to benefit from primary tumor resection, thereby supporting individualized multidisciplinary decision-making. Further external and prospective validation is warranted.