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September 5, 2025Frontiers in OncologyOpen Access

Multi-disease transcriptomic analysis of sex hormone genes reveals a novel prognostic model for thyroid cancer with breast cancer correlations

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Authors

LQLixue QiaoHLHao LiKYKeyu Yin

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Overview

This research identifies a prognostic model linking sex hormone metabolism to thyroid cancer outcomes, suggesting implications for breast cancer correlations.

Key Points

  • The established prognostic model shows that higher risk scores correlate with shorter disease-free survival in thyroid cancer patients.
  • Univariate Cox regression analysis identified ten differential genes linked to both thyroid and breast cancers related to sex hormone metabolism.
  • Consistent clustering revealed two distinct patient groups based on sex hormone metabolism, with significant differences in immune infiltration and TMB.
  • The study's findings indicate that expression levels of specific genes can influence prognosis and treatment approaches for thyroid cancer.

Cite This Study

Qiao et al. (2025) studied this question.

synapsesocial.com/papers/68c23a2cb210217d6477f241https://doi.org/10.3389/fonc.2025.1641195
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