Necrotizing apoptosis-related genes prognosis and treatment effect analysis of osteosarcoma in children

Yuanling Chen1, Ling Wu1, Yunyan Li1

  • 1Ningbo Women and Children's Hospital, Ningbo, China.

PubMed
Abstract

Insights

Necroptosis-related genes can predict osteosarcoma patient response to chemotherapy and immunotherapy. This study identified subtypes based on these genes, improving prognostic prediction and guiding treatment strategies.

Area of Science:

  • Cancer Research
  • Immunology
  • Genetics

Background:

  • Immune cell homeostasis is vital for cancer research and treatment response.
  • Chemotherapy and immunotherapy are promising for osteosarcoma (OS), but patient response prediction is needed.
  • Necroptosis influences treatment efficacy and offers insights into patient stratification.

Purpose of the Study:

  • To identify necroptosis-associated genes in osteosarcoma development.
  • To classify OS patients into subtypes based on necroptosis gene expression for prognostic and therapeutic prediction.
  • To evaluate a risk scoring model for predicting prognosis and identifying therapeutic targets.

Main Methods:

  • High-throughput screening to identify necroptosis-associated genes.
  • Consensus clustering to classify OS patients into subtypes using TARGET-OS and GSE21257 datasets.
  • Prognostic analysis, risk scoring model development, and identification of independent prognostic factors.

Main Results:

  • Identified 92 necroptosis-associated genes and classified OS patients into three subtypes.
  • Subtypes showed distinct differences in immune cell infiltration, immune pathways, and prognosis.
  • A nomogram-based signature effectively predicted chemotherapy and immunotherapy response, outperforming single clinical indicators.

Conclusions:

  • Necroptosis-related genes play a significant prognostic role in osteosarcoma.
  • This study provides a novel approach for prognostic prediction and clinical management of OS.
  • Findings emphasize the importance of immune cell homeostasis in cancer therapy response.

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