No abstract

To investigate the epidemiology, demographics and survival of mucinous adenocarcinomas (MACs), we identified 80,758 MAC patients in the Surveillance, Epidemiology and End Results (SEER) database. The reported incidence of MACs ebbed and flowed over time; however, a significant increase in reported annual age-adjusted incidences of MACs in the appendix, lung and bronchus was observed from 1981 to 2014. The demographics and outcomes of MACs differed by anatomic sites. MACs of the stomach had the largest percentage of poorly differentiated or undifferentiated tumors (41.2%), while MACs of the appendix and pancreas were associated with more advanced tumor stage (P < 0.001). MACs of the pancreas, lung and bronchus and stomach showed worse survival than other sites, despite localized, regional or distant stage (P < 0.001). In univariate and multivariate analysis, site, tumor grade, tumor stage, regional nodes, sex, race, surgery and year of diagnosis were identified as independent prognostic factors of cancer-specific survival. In conclusion, the incidence of MACs of certain specific sites, such as the appendix, lung and bronchus, is rapidly increasing. We also revealed a series of prognostic factors of MACs, including tumor sites, tumor grade and tumor stage, which may improve the current understanding of the clinical and biological patterns of MACs.

Lung metastasis is one of the leading causes of death for triple‐negative breast cancer (TNBC). We sought to characterize the genetic alterations underlying TNBC lung metastases by integrating whole‐genome sequencing and functional screening. Furthermore, we aimed to develop a metastasis‐related gene signature for TNBC patients to improve risk stratification. In this prospective observational study, we first conducted whole‐genome sequencing of paired primary tumor and lung metastasis from one TNBC patient to identify potential genetic driver alterations. An in vivo gain‐of‐function screening using an amplified open reading frame library was then employed to screen candidate genes promoting lung metastasis. Finally, we applied Cox proportional hazard regression modeling to develop a prognostic gene signature from 14 candidate genes in TNBC. Compared to the primary tumor, copy number amplifications of chromosomes 3q and 8q were identified in the lung metastasis. We discovered an enrichment of 14 genes from chromosomes 3q and 8q in mouse lung metastases model. We further developed and validated a four‐gene signature (ENY2, KCNK9, TNFRSF11B and KCNMB2) that predicts recurrence‐free survival and lung metastasis in TNBC. Our data also demonstrated that upregulated expression of ENY2 could promote invasion and lung metastasis of TNBC cells both in vitro and in vivo. In conclusion, our study reveals functional genes with copy number amplifications among chromosome 3q and 8q in lung metastasis of TNBC. And we develop a functional gene signature that can effectively stratify patients into low‐ and high‐risk subgroups of recurrence, helping frame personalized treatments for TNBC.