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Han W, Wang S, Su L, Xu J, Wei Y. Prognostic analysis of lung squamous cell carcinoma patients with second primary malignancies: a SEER database study. Front Oncol 2024; 14:1294383. [PMID: 38444672 PMCID: PMC10912175 DOI: 10.3389/fonc.2024.1294383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 01/30/2024] [Indexed: 03/07/2024] Open
Abstract
Background As lung squamous cell carcinoma (LUSC) patients are at increased risk of developing a second primary cancer, this complicates the patient's condition and thus makes prognostic assessment more difficult, posing a significant prognostic challenge for clinicians. Our goal was to assess the prognosis of LUSC patients with a second primary tumor, and provide insights into appropriate therapy and monitoring strategies. Methods Data was obtained for LUSC patients from the Surveillance, Epidemiology, and End Results (SEER) database. The LUSC patients were divided into three groups (LS-SPM, OT-LUSC and LUSC-only). Univariate and stratified analyses were performed for the baseline and clinical characteristics of the participants. Multiple regression and Kaplan-Meier survival analyses were also performed, followed by a final life table analysis. Results In our sample of 101,626 patients, the HR for OS in the LS-SPM group was 0.40 in univariate analysis. Kaplan-Meier survival curves showed that LS-SPM patients had considerably longer lifespans compared to the other groups. The LS-SPM patients had median and mean survival times of 64 months and 89.11 months. Unadjusted and adjusted multiple regression analyses showed that LS-SPM patients had a superior survival compared to LUSC-only and OT-LUSC groups. Conclusion LS-SPM patients have a good prognosis with aggressive therapy and immune monitoring. The present study offers novel insights into the pathophysiological causes and treatments for LS-SPM.
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Affiliation(s)
- Weiqing Han
- Department of Cardiothoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Silin Wang
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Lang Su
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Jianjun Xu
- Department of Cardiothoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Yiping Wei
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
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Sun YC, Zhao ZD, Yao N, Jiao YW, Zhang JW, Fu Y, Shi WH. Risk prediction of second primary malignancies in patients after rectal cancer: analysis based on SEER Program. BMC Gastroenterol 2023; 23:354. [PMID: 37828423 PMCID: PMC10568885 DOI: 10.1186/s12876-023-02974-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 09/26/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND This study will focus on exploring the clinical characteristics of rectal cancer (RC) patients with Second Primary Malignancies (SPMs) and constructing a prognostic nomogram to provide clinical treatment decisions. METHODS We determined the association between risk factors and overall survival (OS) while establishing a nomogram to forecast the further OS status of these patients via Cox regression analysis. Finally, we evaluated the performance of the prognostic nomogram to predict further OS status. RESULTS Nine parameters were identified to establish the prognostic nomogram in this study, and, the C-index of the training set and validation set was 0.691 (95%CI, 0.662-0.720) and 0.731 (95%CI, 0.676-0.786), respectively. The calibration curve showed a high agreement between the predicted and actual results, and the receiver operating characteristic (ROC) curves verified the superiority of our model for clinical usefulness. In addition, the nomogram classification could more precisely differentiate risk subgroups and improved the discrimination of SPMs' prognosis. CONCLUSIONS We systematically explored the clinical characteristics of SPMs after RC and constructed a satisfactory nomogram.
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Affiliation(s)
- Yong-Chao Sun
- Graduate School of Bengbu Medical College, Anhui, China
- Department of General Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, Jiangsu, China
| | - Zi-Dan Zhao
- Graduate School of Bengbu Medical College, Anhui, China
- Department of General Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, Jiangsu, China
| | - Na Yao
- Department of Breast Surgery, The Affiliated Wuxi Hospital of Nanjing University of TCM, Wuxi City Hospital of TCM, Wuxi, China
| | - Yu-Wen Jiao
- Department of General Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, Jiangsu, China
| | - Jia-Wen Zhang
- Department of General Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, Jiangsu, China
| | - Yue Fu
- Department of General Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, Jiangsu, China.
| | - Wei-Hai Shi
- Department of General Surgery, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, Jiangsu, China.
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Wang Q, Liu T, Liu C, Wang W, Zhai J, Han X, Nie C, Ren X, Zhu X, Xiang G, Zhou H, Tian W, Li X. Risk and prognosis of second primary cancers among ovarian cancer patients, based on SEER database. Cancer Invest 2022; 40:604-620. [PMID: 35616337 DOI: 10.1080/07357907.2022.2083148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
The purposes of the present study were to elucidate the risk and prognostic effect of second primary cancers (SPCs) development, as well as the factors influencing the prognosis of OC patients with SPCs. A statistically significant increase in SPCs risk was observed among OC patients during 2004-2015. The independent factors were used to construct the SPCs-prediction nomogram and the OS-prediction nomogram. Both nomogram were subjected to internal validation and performed well. OC patients with SPCs have a better prognosis than patients without SPCs. Propensity score matching (PSM) was applied to reduce confounding.
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Affiliation(s)
- Qi Wang
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, P. R. China
| | - Tianyu Liu
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, P. R. China
| | - Chang Liu
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, P. R. China
| | - Wanyu Wang
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, P. R. China
| | - Jiabao Zhai
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, P. R. China
| | - Xu Han
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, P. R. China
| | - Chuang Nie
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, P. R. China
| | - Xiyun Ren
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, P. R. China
| | - Xioajie Zhu
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, P. R. China
| | - Guanghui Xiang
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, P. R. China
| | - Haibo Zhou
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, P. R. China
| | - Wenjing Tian
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, P. R. China
| | - Xiaomei Li
- Department of Pathology, Third Affiliated Hospital of Harbin Medical University, 150 Haping Road, Harbin 150081, Heilongjiang Province, P. R. China
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