Purpose: The prognostic value of sex for esophageal cancer survival is currently unclear, and growing data suggest that hormonal influences may account for incidence disparities between men and women. Therefore, moving from the hypothesis that hormones could affect the prognosis of patients with esophageal cancer, we investigated the primary hypothesis that sex is associated with survival and the secondary hypotheses that the relationship between sex and survival depends, at least in part, on age, histology, and race/ethnicity.
Patients And Methods: By using the SEER databases from 1973 to 2007, we identified 13,603 patients (34%) with metastatic esophageal cancer (MEC) and 26,848 patients (66%) with locoregional esophageal cancer (LEC). Cox proportional hazards model for competing risks were used for analyses.
Results: In the multivariate analysis, women had longer esophageal cancer-specific survival (ECSS) than men in both MEC (hazard ratio [HR], 0.949; 95% CI, 0.905 to 0.995; P = .029) and LEC (HR, 0.920; 95% CI, 0.886 to 0.955; P < .001) cohorts. When age and histology were accounted for, there was no difference for ECSS between men and women with adenocarcinoma. In contrast, women younger than age 55 years (HR, 0.896; 95% CI, 0.792 to 1.014; P = .081) and those age 55 years or older (HR, 0.905; 95% CI, 0.862 to 0.950; P < .001) with squamous cell LEC had longer ECSS than men. In the squamous cell MEC cohort, only women younger than age 55 years had longer ECSS (HR, 0.823; 95% CI, 0.708 to 0.957; P = .011) than men.
Conclusion: Sex is an independent prognostic factor for patients with LEC or MEC. As secondary hypotheses, in comparison with men, women age 55 years or older with squamous cell LEC and women younger than age 55 years with squamous cell MEC have a significantly better outcome. These last two findings need further validation.
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http://dx.doi.org/10.1200/JCO.2011.38.8751 | DOI Listing |
Front Med (Lausanne)
January 2025
Department Three of Orthopedics/Plastic Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Objective: This study systematically evaluated the efficacy of programmed death 1 (PD-1) inhibitors combined with chemotherapy for advanced esophageal cancer (EC).
Methods: PubMed, Embase, Web of Science, Scopus, and Cochrane Library were searched to identify related randomized controlled trials (RCTs).
Results: Seven RCTs involving 4,363 participants were included.
AME Case Rep
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Department of Medical Oncology, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, China.
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January 2025
Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
Triple-negative breast cancer (TNBC) remains a significant global health challenge, emphasizing the need for precise identification of patients with specific therapeutic targets and those at high risk of metastasis. This study aimed to identify novel therapeutic targets for personalized treatment of TNBC patients by elucidating their roles in cell cycle regulation. Using weighted gene co-expression network analysis (WGCNA), we identified 83 hub genes by integrating gene expression profiles with clinical pathological grades.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China.
Esophageal cancer, with its aggressive nature and high mortality, poses diverse epidemiological challenges worldwide. Over the past three decades, esophageal cancer has exhibited a substantial global burden, marked by a significant increase in absolute numbers, contrasting with a decline in age-standardized metrics. Prevalence nearly doubled, reaching 0.
View Article and Find Full Text PDFBiochemistry (Mosc)
December 2024
Moscow Institute of Physics and Technology, Dolgoprudny, 141701, Russia.
Activation of the p38 mitogen-activated protein kinase (MAPK) pathways is vital in regulating cell growth, differentiation, apoptosis, and stress response, significantly affecting tumorigenesis and cancer progression. We developed a bioinformatic technique to construct an interactome network-based molecular pathways for genes of interest and quantify their activation levels using high-throughput gene expression data. This study is focused on the p38α, p38β, p38γ, and p38δ kinases, examining their activation levels (PALs) based on transcriptomic data and their associations with survival and drug responsiveness across various cancer types.
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