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JAK2 Loss Arising From Tumor-Spread-Through-Air-Spaces (STAS) Promotes Tumor Progression by Suppressing CD8+ T Cells in Lung Adenocarcinoma: A Machine Learning Approach.

Soohwan ChoiHyung-Suk KimKyueng Whan MinYung-Kyun NohJeong-Yeon LeeJi Yong MoonUn Suk JungMi Jung KwonDong Hoon KimByoung-Kwan SonJung Soo PyoSun Kyun Ro
Published in: Journal of Korean medical science (2024)
In LUAD, low JAK2 expression linked to the presence of STAS might serve as an unfavorable prognostic factor. A relationship between JAK2 and CD8+ T cells suggests that STAS is indirectly related to the anticancer immune response. These results may contribute to the design of future experimental research and drug development programs for LUAD with STAS.
Keyphrases
  • prognostic factors
  • poor prognosis
  • machine learning
  • immune response
  • public health
  • long non coding rna
  • artificial intelligence
  • toll like receptor
  • big data
  • deep learning
  • inflammatory response