HLA class II molecule HLA-DRA identifies immuno-hot tumors and predicts the therapeutic response to anti-PD-1 immunotherapy in NSCLC.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35794593", "kind": "science-record", "revision": 4, "content_hash": "sha256:1d69fd67de6c80d589d484f92b0337579888609b88b967b4da4d0c1f250e15da", "created_at": "2026-11-01T18:14:50Z", "updated_at": "2026-11-01T22:06:57Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "HLA class II molecule HLA-DRA identifies immuno-hot tumors and predicts the therapeutic response to anti-PD-1 immunotherapy in NSCLC.", "doi": "10.1186/s12885-022-09840-6", "pmid": "35794593", "authors": ["Jie Mei", "Guanyu Jiang", "Yundi Chen", "Yongrui Xu", "Yuan Wan", "Ruo Chen", "Feng Liu", "Wenjun Mao", "Mingfeng Zheng", "Junying Xu"], "journal": "BMC cancer", "year": 2022, "abstract": "BACKGROUND: Immune checkpoint blockade (ICB) only works well for a certain subset of patients with non-small cell lung cancer (NSCLC). Therefore, biomarkers for patient stratification are desired, which can suggest the most beneficial treatment.\nMETHODS: In this study, three datasets (GSE126044, GSE135222, and GSE136961) of immunotherapy from the Gene Expression Omnibus (GEO) database were analyzed, and seven intersected candidates were extracted as potential biomarkers for ICB followed by validation with The Cancer Genome Atlas (TCGA) dataset and the in-house cohort data.\nRESULTS: Among these candidates, we found that human leukocyte antigen-DR alpha (HLA-DRA) was downregulated in NSCLC tissues and both tumor and immune cells expressed HLA-DRA. In addition, HLA-DRA was associated with an inflamed tumor microenvironment (TME) and could predict the response to ICB in NSCLC. Moreover, we validated the predictive value of HLA-DRA in immunotherapy using an in-house cohort. Furthermore, HLA-DRA was related to the features of inflamed TME in not only NSCLC but also in most cancer types.\nCONCLUSION: Overall, HLA-DRA could be a promising biomarker for guiding ICB in NSCLC.", "claims": [{"id": "claim-method", "statement": "To identify differentially expressed genes (DEGs) between responders and non-responders, student t test was used and genes with P value ≤0.05 were deemed to be candidates.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35794593", "locator": "sections[4] \"DGEs screening and enrichment analysis\" paragraph 2", "quote": "To identify differentially expressed genes (DEGs) between responders and non-responders, student t test was used and genes with P value ≤0.05 were deemed to be candidates."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors. In addition, original data for bioinformatics analysis could be downloaded from corresponding platforms.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35794593", "locator": "sections[27] \"notes\" paragraph 1", "quote": "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors. In addition, original data for bioinformatics analysis could be downloaded from corresponding platforms."}], "state": "complete"}, {"id": "claim-target-result", "statement": "HLA-DRA could be a promising biomarker for guiding ICB in NSCLC.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35794593", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "Overall, HLA-DRA could be a promising biomarker for guiding ICB in NSCLC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "HLA-DRA could be a promising biomarker for guiding ICB in NSCLC.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:35794593"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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