Evidence map›Paper›PMID 41272627›Full record

ArticleBMC cancer2025

A comparative study on prognostic differences between men and women with non-small cell lung cancer across different antitumor treatment modalities.

Feiyang Li, Fang Li, Haowei Lu, Dong Zhao

Abstract readComparative Study
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Feiyang Li *Department of Medical Oncology, Lixin People's Hospital of Bozhou City, Bozhou, Anhui, Lixin 236700, China.
Fang Li *Department of Medical Oncology, Affiliated Hospital of Qinghai University, Xining , Qinghai, China.
Haowei LuDepartment of Medical Oncology, Lixin People's Hospital of Bozhou City, Bozhou, Anhui, Lixin 236700, China.
Dong ZhaoDepartment of Medical Oncology, Lixin People's Hospital of Bozhou City, Bozhou, Anhui, Lixin 236700, China. ddstam123@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to investigate potential prognostic differences between male and female patients with non-small cell lung cancer under various antitumor treatment modalities, as well as to analyze potential factors influencing these differences.

methodsThis retrospective study included data from 715 non-small cell lung cancer patients who were diagnosed pathologically at our center between 2018 and 2024. The dataset comprised demographic characteristics, tumor features, and treatment-related information. Propensity score matching was employed to adjust for baseline imbalances between male and female groups. Prognostic differences based on gender were assessed using Kaplan-Meier survival analysis, log-rank tests, and multivariate Cox regression models, with additional subgroup analysis.

resultsFollowing propensity score matching, the median survival for male patients was 23 months, while female patients had a median survival of 29 months. The mortality risk for males was 29.2% higher compared to females (HR = 1.292, 95% CI 1.003-1.664, P = 0.044). In the EGFR-TKI subgroup, the mortality risk for males was 49% higher than for females (HR = 1.490, 95% CI 1.035-2.145, P = 0.028), whereas no significant gender-related differences were observed in the immune checkpoint inhibitor subgroup. Multivariate Cox regression analysis further confirmed that male patients faced a significantly increased mortality risk compared to females (HR = 1.31, 95% CI 1.01-1.70, P = 0.046). Furthermore, AJCC T stage, N stage, and M stage were identified as independent prognostic factors. Chemotherapy and anti-angiogenesis therapy were associated with a reduced mortality risk. Subgroup analysis revealed that male patients had significantly worse prognoses than female patients, particularly among those with early lymph node metastasis (N0-1), no distant metastasis (M0), no brain metastasis, and those who underwent surgery.

conclusionGender is an independent prognostic factor in NSCLC. Male patients generally experience shorter overall survival compared to female patients, particularly in those receiving EGFR-TKI therapy and in certain clinical stages. Gender should be considered in clinical practice when making treatment decisions. Future multicenter prospective studies are needed to further validate these findings and explore the underlying biological mechanisms.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAdultAgedAged, 80 and overFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisPropensity ScoreRetrospective StudiesSex FactorsAntitumor treatmentGender differencesNon-Small cell lung cancerPrognosisPropensity score matching

Identifiers

PMID41272627
PMCPMC12639933

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.