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Articles

Risk and Prognosis of Second Primary Cancers among Ovarian Cancer Patients, Based on SEER Database

, , , , , , , , , , , ORCID Icon & show all
Pages 604-620 | Received 12 Nov 2021, Accepted 23 May 2022, Published online: 06 Jun 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.

Acknowledgments

The authors thank SEER database for its public availability.

Declaration of Interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the article.

Ethical approval

Institutional review board approval was not necessary because the Surveillance, Epidemiology, and End Results database is publicly available

Authors’ contributions

Wenjing Tian and Qi Wang conceived the study and drafted the manuscript. Xiaomei Li, Guanghui Xiang, and Xioajie Zhu critically revised the manuscript. Xiyun Ren, and Chuang Nie participated in study design and provided language help. Chang Liu, Tianyu Liu, Wanyu Wang, Jiabao Zhai, and Haibo Zhou proofed reading the article. All authors approved the final manuscript submitted for publication.

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Supplementary materials

See Tables S1–S3 and Figure S1 in the Supplementary materials for comprehensive analysis.

Additional information

Funding

This work was funded by Heilongjiang Province Natural Science Foundation of China [grant number: LH2020H020].

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