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Research Paper|Volume 16, Issue 8|pp 7405—7425

Identification and validation of an anoikis-related genes signature for prognostic implication in papillary thyroid cancer

Runyu Zhao1, Yingying Lu2, Zhihan Wan3, Peipei Qiao4, Liyun Yang4, Yi Zhang4, Shuixian Huang4, Xiaoping Chen4
  • 1Postgraduate Training Base at Shanghai Gongli Hospital, Ningxia Medical University, Shanghai 200135, China
  • 2School of Medicine, Shanghai University, Shanghai 200444, China
  • 3Department of Endocrinology, Gongli Hospital of Shanghai Pudong New Area, Shanghai 200135, China
  • 4Department of Otolaryngology Head and Neck Surgery, Gongli Hospital of Shanghai Pudong New Area, Shanghai 200135, China
* Equal contribution
Received: November 22, 2023Accepted: March 3, 2024Published: April 24, 2024
https://doi.org/10.18632/aging.205766

Copyright: © 2024 Zhao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Thyroid cancer, notably papillary thyroid cancer (PTC), is a global health concern with increasing incidence. Anoikis, a regulator of programmed cell death, is pivotal in normal physiology and, when dysregulated, can drive cancer progression and metastasis. This study explored the impact of anoikis on PTC prognosis. Analyzing data from GEO, TCGA, and GeneCards, we identified a prognostic signature consisting of six anoikis-related genes (ARGs): EZH2, PRKCQ, CD36, INHBB, TDGF1, and MMP9. This signature independently predicted patient outcomes, with high-risk scores associated with worse prognoses. A robust predictive ability was confirmed via ROC analysis, and a nomogram achieved a C-index of 0.712. Differences in immune infiltration levels were observed between high- and low-risk groups. Importantly, the high-risk group displayed reduced drug sensitivity and poor responses to immunotherapy. This research provides insights into anoikis in PTC, offering a novel ARG signature for predicting patient prognosis and guiding personalized treatment strategies.