Identification of novel prognostic and predictive biomarkers in salivary duct carcinoma via comprehensive molecular profiling

Shinji Kohsaka(National Cancer Research Institute), Yuichiro Tada(Mita Hospital), Mizuo Ando(Okayama University), Masato Nakaguro(Nagoya University Hospital), Yukina Shirai, Toshihide Ueno, Shinya Kojima, Hideaki Hirai(Tokyo Medical University), Natsuki Saigusa(Tokyo Medical University), Satoshi Kano(Hokkaido University), Kiyoaki Tsukahara(Tokyo Medical University), Takafumi Togashi(Niigata Cancer Center Hospital), Hiroyuki Ozawa(Keio University), Takahito Kondo(Tokyo Medical University Hachioji Medical Center), Kenji Okami(Tokai University), Hideaki Takahashi(Yokohama City University), Daisuke Kawakita(Nagoya City University), Chihiro Fushimi(Mita Hospital), Takayoshi Suzuki(Hokkaido University), Akira Shimizu(Tokyo Medical University), Isaku Okamoto(Tokyo Medical University), Takuro Okada(Tokyo Medical University), Yuichiro Sato(Nippon Dental University), Yorihisa Imanishi(Keio University), Yoshihiro Watanabe(Keio University), Akihiro Sakai(Tokai University), Koji Ebisumoto(Tokai University), Yukiko Sato(Nippon Dental University), Makoto Urano(Fujita Health University), Yoshitaka Honma(National Cancer Center Hospital East), Keisuke Yamazaki(Niigata University), Yushi Ueki(Niigata University), Toyoyuki Hanazawa(Chiba University), Yuki Saito(The University of Tokyo), Tomotaka Shimura(Showa University Fujigaoka Hospital), Toshitaka Nagao(Tokyo Medical University), Hiroyuki Mano(National Cancer Research Institute)
npj Precision Oncology
November 4, 2022
Cited by 19Open Access
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Abstract

Abstract Molecular targets and predictive biomarkers for prognosis in salivary duct carcinoma (SDC) have not been fully identified. We conducted comprehensive molecular profiling to discover novel biomarkers for SDC. A total of 67 SDC samples were examined with DNA sequencing of 464 genes and transcriptome analysis in combination with the clinicopathological characteristics of the individuals. Prognostic biomarkers associated with response to combined androgen blockade (CAB) treatment were explored using mRNA expression data from 27 cases. Oncogenic mutations in receptor tyrosine kinase (RTK) genes or genes in the MAPK pathway were identified in 55 cases (82.1%). Alterations in the phosphatidylinositol 3-kinase (PI3K)/AKT signaling pathway were identified in 38 cases (56.7%). Interestingly, patient prognosis could be predicted using mRNA expression profiles, but not genetic mutation profiles. The risk score generated from the expression data of a four-gene set that includes the ADAMTS1 , DSC1 , RNF39 , and IGLL5 genes was a significant prognostic marker for overall survival in the cohort (HR = 5.99, 95% confidence interval (CI) = 2.73–13.1, p = 7.8 × 10 −6 ). Another risk score constructed from the expression of CD3E and LDB3 was a strong prognostic marker for progression-free survival for CAB treatment ( p = 0.03). Mutations in RTK genes, MAPK pathway genes, and PI3K/AKT pathway genes likely represent key mutations in SDC tumorigenesis. The gene expression profiles identified in this study may be useful for stratifying patients who are good candidates for CAB treatment and may benefit from additional systemic therapies.


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