ANKRD36 mutation as a negative predictor for melanoma immunotherapy.

Authors

null

Bing Chen

Ward 5,General Surgery, LiaoYang Central Hospital of China Medical University, Liaoyang, China

Bing Chen , Shizhou Guo , Xiaodan Xing , Qianru He , Qin Zhang , Qianqian Duan , Tingting Sun , Chuang Qi

Organizations

Ward 5,General Surgery, LiaoYang Central Hospital of China Medical University, Liaoyang, China, The Medical Department, Jiangsu Simcere Diagnostics Co., Ltd; Nanjing Simcere Medical Laboratory Science Co., Ltd; The State Key Lab of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, China, Jiangsu Simcere Diagnostics Co., The State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, China

Research Funding

Pharmaceutical/Biotech Company

Background: Melanoma is one of the most aggressive and immunogenic tumors. Current immunotherapies using immune checkpoint inhibitors such as CTLA4 and PD1 to stimulate T cell-mediated tumor killing significantly improved the overall survival of patients with metastatic melanoma. However, the clinical predictors of response to these therapies are still not fully characterized. Previous studies have shown that the high gene expression of Ankyrin repeat domain 36 (ANKRD36) can lead to the occurrence and poor prognosis of colon cancer and kidney cancer. In this study, we aimed to explore the role of ANKRD36 mutation in the prognosis of melanoma immune checkpoint inhibitors (ICIs). Methods: Public data of patients treated with ICIs(ipilimumab) from Van Allen (n = 110) cohort were obtained and analyzed. In survival analysis, Kaplan-Meier curves were compared by log-rank test, and the hazard ratio (HR) was determined through a multivariable Cox regression model. The potential mechanism was subsequently explored through RNA expression data from The Cancer Genome Atlas (TCGA). Results: The frequency of ANKRD36 mutation in the Van Allen cohort and TCGA cohort was 7.2% (8 in 110) and 1.56% (7 in 448) respectively. We further analyzed the Kaplan Meier curve and multiple Cox regression model of the Allen cohort and found that the survival of the mutant type in immunotherapy was significantly shorter than that of the wild-type group (PFS: HR = 3.09 [95% CI: 1.47, 6.51], p = 0.002; OS: HR = 2.33 [95% CI: 1.12, 4.86], p = 0.02). Both mutant type and tumor metastasis would have negative effects on immunotherapy(PFS: HR = 3.66 [95% CI: 1.71, 7.85], p < 0.001***; OS: HR = 3.16 [95% CI: 1.47, 6.82], p = 0.003**). Analysis of the transcriptome data from the TCGA database found that resting CD4 memory T cells is highly expressed in ANKRD36 mutant patients (p = 0.032), which may indicate that the patient's immune system did not activate the anti-tumor immune mechanism. Conclusions: In our study, the frequency of ANKRD36 mutations was investigated in clinical and TCGA cohorts, which may provide useful information for guiding patient treatment. ANKRD36 mutation may be a negative predictor of ICIs in patients with melanoma and play a role in prognosis.

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Abstract Details

Meeting

2022 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Melanoma/Skin Cancers

Track

Melanoma/Skin Cancers

Sub Track

Advanced/Metastatic Disease

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr e21517)

DOI

10.1200/JCO.2022.40.16_suppl.e21517

Abstract #

e21517

Abstract Disclosures

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