Comprehensive characterization of MUC16 mutations in lung adenocarcinoma for immunotherapies and prognosis: An observational study

Author:

Liu Tingjun1,Wu Lianlian1,Liu Jing2,Chen Hao3,Zhu Bao4,Qiao Dandan1,Zhu Yuhua1,Liu Tingya5,Chen Quangang6ORCID,Hu Ankang1

Affiliation:

1. Center of Animal Laboratory, Xuzhou Medical University, Xuzhou, Jiangsu, China

2. Department of Respiratory Medicine, Xuzhou Central Hospital, Xuzhou, Jiangsu, China

3. Department of Respiratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China

4. Cancer Institute, Xuzhou Medical University, Xuzhou, Jiangsu Province, Xuzhou, China

5. Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China

6. School of Life Sciences, Xuzhou Medical University, Xuzhou, Jiangsu, China.

Abstract

Lung adenocarcinoma (LUAD) is a non-small-cell lung cancer and is the leading cause of cancer-related deaths worldwide. Immunotherapy is a promising candidate for LUAD, and tumor mutation burden (TMB) could be a new biomarker to monitor the response of cancer patients to immunotherapy. It is known that the mucin 16 (MUC16) mutation is the most common and affects the progression and prognosis of several cancers. However, whether MUC16 mutations are associated with TMB and tumor-infiltrating immune cells in LUAD is not fully elucidated. All the data were obtained from the cancer genome atlas database to assess the prognostic value and potential mechanism of MUC16 in LUAD. An immune prognostic model (IPM) was developed based on immune-related genes that could be differentially expressed between MUC16MUT and MUC16WT LUAD patients. Later, the IPM effect on the prognosis and immunotherapy of LUAD was comprehensively evaluated. MUC16 was frequently mutated in LUAD, with a mutational frequency of 43.4%, significantly associated with higher TMB and better clinical prognosis. Based on 436 patients with LUAD, an IPM was established and validated to differentiate patients with a low or high risk of poor survival. The univariate and multivariate Cox regression analyses demonstrated that the IPM was an independent prognostic indicator for LUAD patients. Elevated expressions of PD-L1, LAG3, PDCD1, and SIGLEC15, and most of the T-effector and interferon-γ gene signatures, were depicted in the high-risk group. Moreover, the nomogram using the IPM and clinical prognostic factors also predicted the overall survival and clinical utility. Our project developed a robust risk signature depending on the MUC16 status and provided novel insights for individualized treatment options for LUAD patients.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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