{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wu LL"],"funding":["Science and Technology Commission of Shanghai Municipality","Shanghai ShenKang Hospital Development Centre"],"pagination":["168"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10288722"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24(1)"],"pubmed_abstract":["<h4>Background</h4>The current nodal (pN) classification still has limitations in stratifying the prognosis of small cell lung cancer (SCLC) patients with pathological classifications T1-2N0-2M0. Thus. This study aimed to develop and validate a modified nodal classification based on a multicenter cohort.<h4>Materials and methods</h4>We collected 1156 SCLC patients with pathological classifications T1-2N0-2M0 from the Surveillance, Epidemiology, and End Results database and a multicenter database in China. The X-tile software was conducted to determine the optimal cutoff points of the number of examined lymph nodes (ELNs) and lymph node ratio (LNR). The Kaplan-Meier method, the Log-rank test, and the Cox regression method were used in this study. We classified patients into three pathologic"],"journal":["Respiratory research"],"pubmed_title":["Reconsidering N component of cancer staging for T1-2N0-2M0 small-cell lung cancer: a retrospective study based on multicenter cohort."],"pmcid":["PMC10288722"],"funding_grant_id":["SHDC22020218","21Y11913400"],"pubmed_authors":["Lin P","Long H","Qian JY","Jiang F","Zhang LJ","Li CW","Qiu LH","Yu WJ","Li K","Xie D","Liang SH","Ma GW","Chen X","Wu LL","Li ZX"],"additional_accession":[]},"is_claimable":false,"name":"Reconsidering N component of cancer staging for T1-2N0-2M0 small-cell lung cancer: a retrospective study based on multicenter cohort.","description":"<h4>Background</h4>The current nodal (pN) classification still has limitations in stratifying the prognosis of small cell lung cancer (SCLC) patients with pathological classifications T1-2N0-2M0. Thus. This study aimed to develop and validate a modified nodal classification based on a multicenter cohort.<h4>Materials and methods</h4>We collected 1156 SCLC patients with pathological classifications T1-2N0-2M0 from the Surveillance, Epidemiology, and End Results database and a multicenter database in China. The X-tile software was conducted to determine the optimal cutoff points of the number of examined lymph nodes (ELNs) and lymph node ratio (LNR). The Kaplan-Meier method, the Log-rank test, and the Cox regression method were used in this study. We classified patients into three pathologic","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jun","modification":"2025-04-04T12:10:49.059Z","creation":"2025-04-04T12:10:49.059Z"},"accession":"S-EPMC10288722","cross_references":{"pubmed":["37353782"],"doi":["10.1186/s12931-023-02440-3"]}}