A random survival forest-based pathomics signature classifies immunotherapy prognosis and profiles TIME and genomics in ES-SCLC patients

During the median follow-up period of 12.12 months, 118 ES-SCLC patients receiving first-line immunotherapy were recruited. The RSF model utilizing three pathomics features and liver metastases, bone metastases, smoking status, and lactate dehydrogenase, could predict the survival of first-line chemoimmunotherapy in patients with ES-SCLC with favorable discrimination and calibration. Underlyingly, the higher RSF-Score potentially indicated more infiltration of CD8<sup>+</sup> T cells in the stroma as well as a greater probability of MCL-1 amplification and EP300 mutation. At the single-cell level, MCL-1 was associated with TNFA-NFKB signaling and apoptosis-related processes. Hopefully, this noninvasive model could act as a biomarker for immunotherapy, potentially facilitating precision medicine in the management of ES-SCLC.

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Publication Details

Journal
Cancer Immunology Immunotherapy
Published
2024-10-03
DOI
https://doi.org/10.1007/s00262-024-03829-9
Citations
5
Primary Topic
Lung Cancer Research Studies
Type
article
Field-Weighted Citation Impact
1.41

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article

A random survival forest-based pathomics signature classifies immunotherapy prognosis and profiles TIME and genomics in ES-SCLC patients

Qinpei Cheng, Qing K. Wang, Tangfeng Lv, Yuxin Jiang et al.
5 citations
Cancer Immunology Immunotherapy
Lung Cancer Research Studies
1.41
article

A random survival forest-based pathomics signature classifies immunotherapy prognosis and profiles TIME and genomics in ES-SCLC patients

Qinpei Cheng, Qing K. Wang, Tangfeng Lv, Yuxin Jiang, Qiuxia Wu, Xiaoxia Wang, Dong Wang, Yu Hong Li, Yueying Chen, Ping Zhan, Wanjun Lu, Xueying Zuo, Yong Song, Fang Zhang
article en
5 citations

Abstract

During the median follow-up period of 12.12 months, 118 ES-SCLC patients receiving first-line immunotherapy were recruited. The RSF model utilizing three pathomics features and liver metastases, bone metastases, smoking status, and lactate dehydrogenase, could predict the survival of first-line chemoimmunotherapy in patients with ES-SCLC with favorable discrimination and calibration. Underlyingly, the higher RSF-Score potentially indicated more infiltration of CD8<sup>+</sup> T cells in the stroma as well as a greater probability of MCL-1 amplification and EP300 mutation. At the single-cell level, MCL-1 was associated with TNFA-NFKB signaling and apoptosis-related processes. Hopefully, this noninvasive model could act as a biomarker for immunotherapy, potentially facilitating precision medicine in the management of ES-SCLC.

Cancer Immunology ImmunotherapyVol. 73(12)
Nanjing University of Chinese Medicine (CN), Southeast University (BD), Zhongda Hospital Southeast University (CN), Hebei Yiling Hospital (CN), Second Affiliated Hospital of Nanjing Medical University (CN), Southeast University (CN), Nanjing Medical University (CN), Nanjing University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Postdoctoral Science Foundation of Jiangsu Province
Zero hunger
Openalex Percentile: Top 15%
Lung Cancer Research Studies
1.41
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