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Inactivation of Hippo pathway characterizes a poor-prognosis subtype of esophageal cancer
Zihang Mai, … , Jing Wen, Jianhua Fu
Zihang Mai, … , Jing Wen, Jianhua Fu
Published August 22, 2022
Citation Information: JCI Insight. 2022;7(16):e155218. https://doi.org/10.1172/jci.insight.155218.
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Research Article Gastroenterology Oncology

Inactivation of Hippo pathway characterizes a poor-prognosis subtype of esophageal cancer

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Abstract

Identification of molecular subtypes that reflect different prognoses and treatment responses, especially immune checkpoint inhibitors (ICIs) in esophageal squamous cell carcinoma (ESCC), is essential for treatment decisions. We performed targeted sequencing in 201 patients with ESCC to discover genetic subtypes and validate our findings via multiple data sets. We identified 3 driver genes (FCGBP, GRIN2B, and FRY), and recurrent truncating mutations in FRY impaired its tumor-suppressive function and promoted tumor proliferation. A 3-gene mutation signature (FAT1, FAT3, and FRY) recognized a molecular subtype named “FAT/FRY” with frequent Hippo pathway–related mutations. In multiple ESCC cohorts, the patients with the FAT/FRY subtype had poorer prognosis than did patients in the WT group. Transcriptome analysis indicated that the FAT/FRY subtype was characterized by inactivation of the Hippo pathway, hypoxia, chemoresistance, higher infiltration of CD8+ T cells and activated DCs, and a transcriptome similar to that of cancer responders. Furthermore, the 3-gene signature predicted better survival for patients treated with ICIs, partially explained by its positive correlation with the tumor mutation burden and neoantigen burden. The 3-gene signature is a biomarker to recognize the FAT/FRY molecular subtype, evaluate prognosis, and select potential beneficiaries of ICIs in ESCC.

Authors

Zihang Mai, Jianye Yuan, Hong Yang, Shuogui Fang, Xiuying Xie, Xinye Wang, Jiaxin Xie, Jing Wen, Jianhua Fu

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Figure 4

Molecular subtypes of ESCC.

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Molecular subtypes of ESCC.
(A) Heatmap of characteristic mutations from...
(A) Heatmap of characteristic mutations from 3 clusters. Distinct clusters are labeled by colors. The histogram on the right-hand side shows the enrichment of mutations within clusters on a negative logarithmic P value scale. Only mutations identified as significantly enriched in the given group, as determined by a Benjamini-Hochberg–adjusted FDR ≤ 0.2 according to Fisher’s exact test, are displayed. (B and C) Three clusters of patients had distinct DFS (B) and OS (C) rates. P values of global and pairwise comparisons were generated by log-rank tests. (D) Venn plot displaying the significant overlap of clusters identified by 2 independent algorithms. Mutual marker mutated genes of clusters identified by 2 algorithms were placed in the overlapping field. (E) Lollipop plot displaying the mutation distributions of FAT1 and FAT3. Del, deletion; Ins, insertion; PAM, partitioning around medoids consensus clustering.

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