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Clinical characteristics and cancer-specific survival analysis of double primary cancer patients with lung cancer as the first primary cancer

Authors :
Bin, Hu
Wanjiao, Chen
Ningjie, Xu
Jiarong, Lv
Shifang, Sun
Yifeng, Mai
Source :
Medicine. 101:e30173
Publication Year :
2022
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2022.

Abstract

The objective of this study is to explore the prognostic factors of double primary cancer patients with lung cancer as the first primary cancer (FPC). The Surveillance, Epidemiology, and End Results (SEER) database is a database established by the National Institutes of Research for cancer registration purposes, which collects relatively complete demographic characteristics and clinical data for assessing the epidemiological characteristics of cancer worldwide. Clinical data on patients with a clear histopathological diagnosis of double primary with lung cancer as the FPC were identified and collected from the SEER database from 2010 to 2015. Survival curves were plotted by Kaplan-Meier survival analysis. Independent prognostic factors of patients were analyzed by COX proportional risk model. Clinical data were collected from a total of 9306 patients, including 6516 patients in the modeling group and 2790 patients in the validation group. When we retrieved that the FPC was lung cancer, we found that the most common site of the second primary cancer was located in the respiratory system (54.0%). In addition, the most common site of first primary lung cancer in patients with double primary cancer was the right upper lobe (33.3%). A total of 14 independent prognostic factors were included, and the constructed survival nomogram had high accuracy and clinical applicability. The nomogram established in this study can help to raise awareness of clinical workers and the importance of such diseases, and guide the treatment and follow-up strategies.

Details

ISSN :
15365964
Volume :
101
Database :
OpenAIRE
Journal :
Medicine
Accession number :
edsair.doi.dedup.....34e93d2ab95ea4c86c4c85467d03dfa6
Full Text :
https://doi.org/10.1097/md.0000000000030173