<scp>One‐stop</scp> molecular classification of endometrial carcinoma using comprehensive <scp>next‐generation</scp> sequencing

Yucong Li, Rui Chen, Mingming Yuan, Dong Wang, Chunling Fu, Rongrong Chen, Cuirong Lei, Qi Zhou

International Journal of Cancer · 2022 · 11 citations · 25 references

DOIFull text

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Abstract

Abstract This study aims to investigate the feasibility of molecular classification using only comprehensive next‐generation sequencing‐based techniques and its relationship with survival outcomes in patients with endometrial cancer. Paired tumor‐normal sequencing data of 1021 cancer‐related genes using tumor tissues or peripheral blood samples and clinical data were retrospectively collected from a cohort of endometrial cancers. The microsatellite instability status was inferred using the MSIsensor (v0.5) with a cut‐off of 8%. Sixty patients were classified into four groups: POLE MUT group (13.3%), MSI‐H group (20%), TP53 WT group (45%) and TP53 MUT group (21.7%). Patients within TP53 MUT group were more common in serous carcinoma compared to endometrioid carcinoma ( P = .0098). TP53WT was significantly correlated with early stage and low grade. TP53 MUT group was associated with significantly worse DFS compared to MSI‐H group and TP53 WT group ( P = .014 and .004, respectively). Comprehensive next‐generation sequencing is a reliable and simple method to stratify the prognosis of endometrial carcinoma. It can be potentially used to guide treatment of patients with endometrial cancer in routine practice.

References

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