Thoracic Cancer (Sep 2023)

Genetic variants in key necroptosis regulators predict prognosis of non‐small cell lung cancer after surgical resection

  • Jang Hyuck Lee,
  • Ji Eun Park,
  • Mi Jeong Hong,
  • Jin Eun Choi,
  • Hyo‐Gyoung Kang,
  • Sook Kyung Do,
  • Sunwoong Lee,
  • Ji Yun Jeong,
  • Kyung Min Shin,
  • Young Woo Do,
  • Eung Bae Lee,
  • Won Kee Lee,
  • In‐Jae Oh,
  • Young‐Chul Kim,
  • Sun Ha Choi,
  • Yong Hoon Lee,
  • Hyewon Seo,
  • Jaehee Lee,
  • Seung Ick Cha,
  • Chang Ho Kim,
  • Seung Soo Yoo,
  • Shin Yup Lee,
  • Jae Yong Park

DOI
https://doi.org/10.1111/1759-7714.15054
Journal volume & issue
Vol. 14, no. 26
pp. 2678 – 2686

Abstract

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Abstract Background Necroptosis is a regulated inflammatory cell death which plays a significant role in cancer development and progression. In this study, we evaluated whether genetic variants in key regulators of necroptosis may affect survival outcome of non‐small cell lung cancer (NSCLC) patients after surgical resection. Methods A total of 674 patients who underwent curative surgery were included. Fifteen genetic variants in key regulators of necroptosis (RIPK1, RIPK3, and MLKL) were selected. The association of these variants with survival outcomes was evaluated. Results Two variants, RIPK1 rs17548629C > T and MLKL rs877375G > C, were associated with better overall survival and disease‐free survival in multivariate analyses. When the patients were divided according to histology, the associations were significant only in adenocarcinoma, but not in squamous cell carcinoma. RIPK1 rs17548629 C‐to‐T change was associated with significantly increased luciferase activity by modulating the binding of miR‐642a. Promoter assays showed a significantly increased promoter activity in MLKL rs877375C allele compared to G allele. Consistently, the mRNA expression level of RIPK1 and MLKL showed significant positive correlation with RIPK1 rs17548629C‐to‐T and MLKL rs877375G‐to‐C changes. Conclusion Two genetic variants in key regulators in necroptosis, RIPK1 rs17548629C > T and MLKL rs877375G > C, may be used as biomarkers to predict survival outcomes in surgically resected NSCLC patients.

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