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Predictive Signatures for Responses to Checkpoint Blockade in Small-Cell Lung Cancer in Second-Line Therapy Do Not Predict Responses in First-Line Patients.
- Source :
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Cancers . Aug2024, Vol. 16 Issue 16, p2795. 15p. - Publication Year :
- 2024
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Abstract
- Simple Summary: Although the high mutation burden in small-cell lung cancer (SCLC) suggests that it should be responsive to immune checkpoint blockade (ICB), relatively few patients have shown durable clinical benefit (DCB). To identify biomarkers of responses, biopsies from 35 patients treated with ICB (21 first-line and 14 second-line) were subjected to transcriptomic analysis and gene signatures were studied. Patients with DCB were compared to those with no clinical benefit (NCB). The response to ICB in the second-line, but not the first-line, setting was associated with gene signatures of inflammation, antigen presentation, interferon responses, and increased CD8 T cells. Our data suggest that responses to ICB in the second-line setting can be predicted by the baseline inflammatory state of the tumor; however, this strong association with inflammation was not observed in the first-line setting, likely because chemotherapy alters the immune milieu allowing a response to ICB. Although immune checkpoint blockade (ICB) is currently approved for the treatment of extensive-stage small-cell lung cancer (SCLC) in combination with chemotherapy, relatively few patients have demonstrated durable clinical benefit (DCB) to these therapies. Biomarkers predicting responses are needed. Biopsies from 35 SCLC patients treated with ICB were subjected to transcriptomic analysis; gene signatures were assessed for associations with responses. Twenty-one patients were treated with ICB in the first-line setting in combination with platinum-based chemotherapy; fourteen patients were treated in the second-line setting with ICB alone. DCB after ICB in SCLC in the second-line setting (3 of 14 patients) was associated with statistically higher transcriptomic levels of genes associated with inflammation (p = 0.003), antigen presentation machinery (p = 0.03), interferon responses (p < 0.05), and increased CD8 T cells (p = 0.02). In contrast, these gene signatures were not significantly different in the first-line setting. Our data suggest that responses to ICB in SCLC in the second-line setting can be predicted by the baseline inflammatory state of the tumor; however, this strong association with inflammation was not seen in the first-line setting. We postulate that chemotherapy alters the immune milieu allowing a response to ICB. Other biomarkers will be needed to predict responses in first-line therapy patients. [ABSTRACT FROM AUTHOR]
- Subjects :
- *PREDICTIVE tests
*PEARSON correlation (Statistics)
*T-test (Statistics)
*T cells
*RESEARCH funding
*ANTINEOPLASTIC agents
*SCIENTIFIC observation
*TREATMENT effectiveness
*CANCER patients
*RETROSPECTIVE studies
*DESCRIPTIVE statistics
*TRANSCRIPTION factors
*CELLULAR immunity
*IMMUNE checkpoint inhibitors
*CANCER chemotherapy
*IMMUNOHISTOCHEMISTRY
*ETOPOSIDE
*INTERFERONS
*MEDICAL records
*ACQUISITION of data
*GENE expression profiling
*LUNG cancer
*COMPARATIVE studies
*PROGRESSION-free survival
*DATA analysis software
*OVERALL survival
Subjects
Details
- Language :
- English
- ISSN :
- 20726694
- Volume :
- 16
- Issue :
- 16
- Database :
- Academic Search Index
- Journal :
- Cancers
- Publication Type :
- Academic Journal
- Accession number :
- 179353762
- Full Text :
- https://doi.org/10.3390/cancers16162795