基于lods的III-IV期胃印戒细胞癌总生存率和癌症特异性生存率nomogram。

IF 3.9 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Frontiers in Molecular Biosciences Pub Date : 2025-05-14 eCollection Date: 2025-01-01 DOI:10.3389/fmolb.2025.1600626
Cenzhu Wang, Ying Fang, Yuhan Zhang, Shuhan Feng, Rui Hou, Hanfang Fan, Zeyu Wang, Lei Liu, Junli Ding, Junying Xu
{"title":"基于lods的III-IV期胃印戒细胞癌总生存率和癌症特异性生存率nomogram。","authors":"Cenzhu Wang, Ying Fang, Yuhan Zhang, Shuhan Feng, Rui Hou, Hanfang Fan, Zeyu Wang, Lei Liu, Junli Ding, Junying Xu","doi":"10.3389/fmolb.2025.1600626","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Gastric cancer is a serious human chronic disease. The gastric signet ring cell carcinoma (GSRCC) is the most-dangerous subtype with several acute complications, including gastrointestinal hemorrhage, gastric perforation, pyloric obstruction and so on. This study aimed to compare the predictive efficiency of positive lymph nodes (PLN) and log odds of positive lymph nodes (LODDS) for survival and to establish a LODDS-based nomogram model in stage III-IV GSRCC.</p><p><strong>Methods: </strong>Stage III-IV GSRCC patients were acquired between 2015 and 2019 from SEER dataset and the affiliated Yixing hospital of jiangsu university, serving as training and validation datasets respectively. The X-tile software was used to identify cut-off values while their relationship with clinical features was explored by chi-square test. The Kaplan-Meier analysis was applied for survival curve while cox regression analysis was performed for independent risk factors. The nomogram model was built with ROC and calibration curves for verification.</p><p><strong>Results: </strong>A total of 585 stage III-IV GSRCC patients were included in this study with 536 patients for training and 49 patients for validation. The LODDS showed better predictive efficiency for overall survival (OS) and cancer-specific survival (CSS) than PLN. The LODDS, M stage and chemotherapy status were independent factors for both OS and CSS, with LODDS contribution accounting for 31.47% in OS and 30.39% in CSS. A LODDS-based nomogram was built with accurate efficiency in stage III-IV GSRCC. The 1-year, 2-year, 3-year OS area under curve (AUC) values were 0.755, 0.795, 0.759 for internal and 0.776, 0.756, 0.816 for external verification while 1-year, 2-year, 3-year CSS AUC values were 0.745, 0.803, 0.770 for internal and 0.796, 0.762, 0.820 for external verification.</p><p><strong>Conclusion: </strong>LODDS is an independent risk factor in stage III-IV GSRCC. The LODDS-based nomogram model showed excellent predictive efficiency, providing a novel insight for early diagnosis and precise therapies of stage III-IV GSRCC.</p>","PeriodicalId":12465,"journal":{"name":"Frontiers in Molecular Biosciences","volume":"12 ","pages":"1600626"},"PeriodicalIF":3.9000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116366/pdf/","citationCount":"0","resultStr":"{\"title\":\"A LODDS-based nomogram for overall and cancer-specific survival in stage III-IV gastric signet ring cell carcinoma.\",\"authors\":\"Cenzhu Wang, Ying Fang, Yuhan Zhang, Shuhan Feng, Rui Hou, Hanfang Fan, Zeyu Wang, Lei Liu, Junli Ding, Junying Xu\",\"doi\":\"10.3389/fmolb.2025.1600626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Gastric cancer is a serious human chronic disease. The gastric signet ring cell carcinoma (GSRCC) is the most-dangerous subtype with several acute complications, including gastrointestinal hemorrhage, gastric perforation, pyloric obstruction and so on. This study aimed to compare the predictive efficiency of positive lymph nodes (PLN) and log odds of positive lymph nodes (LODDS) for survival and to establish a LODDS-based nomogram model in stage III-IV GSRCC.</p><p><strong>Methods: </strong>Stage III-IV GSRCC patients were acquired between 2015 and 2019 from SEER dataset and the affiliated Yixing hospital of jiangsu university, serving as training and validation datasets respectively. The X-tile software was used to identify cut-off values while their relationship with clinical features was explored by chi-square test. The Kaplan-Meier analysis was applied for survival curve while cox regression analysis was performed for independent risk factors. The nomogram model was built with ROC and calibration curves for verification.</p><p><strong>Results: </strong>A total of 585 stage III-IV GSRCC patients were included in this study with 536 patients for training and 49 patients for validation. The LODDS showed better predictive efficiency for overall survival (OS) and cancer-specific survival (CSS) than PLN. The LODDS, M stage and chemotherapy status were independent factors for both OS and CSS, with LODDS contribution accounting for 31.47% in OS and 30.39% in CSS. A LODDS-based nomogram was built with accurate efficiency in stage III-IV GSRCC. The 1-year, 2-year, 3-year OS area under curve (AUC) values were 0.755, 0.795, 0.759 for internal and 0.776, 0.756, 0.816 for external verification while 1-year, 2-year, 3-year CSS AUC values were 0.745, 0.803, 0.770 for internal and 0.796, 0.762, 0.820 for external verification.</p><p><strong>Conclusion: </strong>LODDS is an independent risk factor in stage III-IV GSRCC. The LODDS-based nomogram model showed excellent predictive efficiency, providing a novel insight for early diagnosis and precise therapies of stage III-IV GSRCC.</p>\",\"PeriodicalId\":12465,\"journal\":{\"name\":\"Frontiers in Molecular Biosciences\",\"volume\":\"12 \",\"pages\":\"1600626\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116366/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Molecular Biosciences\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.3389/fmolb.2025.1600626\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Molecular Biosciences","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.3389/fmolb.2025.1600626","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

目的:胃癌是一种严重的人类慢性疾病。胃印戒细胞癌(GSRCC)是最危险的亚型,有胃肠道出血、胃穿孔、幽门梗阻等急性并发症。本研究旨在比较阳性淋巴结(PLN)的预测效率和阳性淋巴结(LODDS)的对数赔率,并建立基于LODDS的III-IV期GSRCC的nomogram模型。方法:从江苏大学附属宜兴医院和SEER数据集中获取2015 - 2019年的III-IV期GSRCC患者,分别作为训练数据集和验证数据集。采用X-tile软件识别切断值,卡方检验探讨切断值与临床特征的关系。生存曲线采用Kaplan-Meier分析,独立危险因素采用cox回归分析。用ROC和标定曲线建立nomogram模型进行验证。结果:本研究共纳入585例III-IV期GSRCC患者,其中536例用于训练,49例用于验证。LODDS对总生存期(OS)和癌症特异性生存期(CSS)的预测效果优于PLN。LODDS、M分期和化疗状态是OS和CSS的独立影响因素,其中LODDS对OS和CSS的贡献率分别为31.47%和30.39%。在III-IV期GSRCC中建立了基于lods的nomogram。内部验证的1年、2年、3年OS曲线下面积(AUC)为0.755、0.795、0.759,外部验证的AUC为0.776、0.756、0.816;内部验证的1年、2年、3年CSS AUC为0.745、0.803、0.770,外部验证的AUC为0.796、0.762、0.820。结论:LODDS是III-IV期GSRCC的独立危险因素。基于lods的nomogram模型具有较好的预测效果,为III-IV期GSRCC的早期诊断和精准治疗提供了新的思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A LODDS-based nomogram for overall and cancer-specific survival in stage III-IV gastric signet ring cell carcinoma.

Objective: Gastric cancer is a serious human chronic disease. The gastric signet ring cell carcinoma (GSRCC) is the most-dangerous subtype with several acute complications, including gastrointestinal hemorrhage, gastric perforation, pyloric obstruction and so on. This study aimed to compare the predictive efficiency of positive lymph nodes (PLN) and log odds of positive lymph nodes (LODDS) for survival and to establish a LODDS-based nomogram model in stage III-IV GSRCC.

Methods: Stage III-IV GSRCC patients were acquired between 2015 and 2019 from SEER dataset and the affiliated Yixing hospital of jiangsu university, serving as training and validation datasets respectively. The X-tile software was used to identify cut-off values while their relationship with clinical features was explored by chi-square test. The Kaplan-Meier analysis was applied for survival curve while cox regression analysis was performed for independent risk factors. The nomogram model was built with ROC and calibration curves for verification.

Results: A total of 585 stage III-IV GSRCC patients were included in this study with 536 patients for training and 49 patients for validation. The LODDS showed better predictive efficiency for overall survival (OS) and cancer-specific survival (CSS) than PLN. The LODDS, M stage and chemotherapy status were independent factors for both OS and CSS, with LODDS contribution accounting for 31.47% in OS and 30.39% in CSS. A LODDS-based nomogram was built with accurate efficiency in stage III-IV GSRCC. The 1-year, 2-year, 3-year OS area under curve (AUC) values were 0.755, 0.795, 0.759 for internal and 0.776, 0.756, 0.816 for external verification while 1-year, 2-year, 3-year CSS AUC values were 0.745, 0.803, 0.770 for internal and 0.796, 0.762, 0.820 for external verification.

Conclusion: LODDS is an independent risk factor in stage III-IV GSRCC. The LODDS-based nomogram model showed excellent predictive efficiency, providing a novel insight for early diagnosis and precise therapies of stage III-IV GSRCC.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Frontiers in Molecular Biosciences
Frontiers in Molecular Biosciences Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
7.20
自引率
4.00%
发文量
1361
审稿时长
14 weeks
期刊介绍: Much of contemporary investigation in the life sciences is devoted to the molecular-scale understanding of the relationships between genes and the environment — in particular, dynamic alterations in the levels, modifications, and interactions of cellular effectors, including proteins. Frontiers in Molecular Biosciences offers an international publication platform for basic as well as applied research; we encourage contributions spanning both established and emerging areas of biology. To this end, the journal draws from empirical disciplines such as structural biology, enzymology, biochemistry, and biophysics, capitalizing as well on the technological advancements that have enabled metabolomics and proteomics measurements in massively parallel throughput, and the development of robust and innovative computational biology strategies. We also recognize influences from medicine and technology, welcoming studies in molecular genetics, molecular diagnostics and therapeutics, and nanotechnology. Our ultimate objective is the comprehensive illustration of the molecular mechanisms regulating proteins, nucleic acids, carbohydrates, lipids, and small metabolites in organisms across all branches of life. In addition to interesting new findings, techniques, and applications, Frontiers in Molecular Biosciences will consider new testable hypotheses to inspire different perspectives and stimulate scientific dialogue. The integration of in silico, in vitro, and in vivo approaches will benefit endeavors across all domains of the life sciences.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信