Identification and Validation of a Hypoxia and Glycolysis Prognostic Signatures in Lung Adenocarcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38370379", "kind": "science-record", "revision": 2, "content_hash": "sha256:ec04fa11c474a4c823c6a99a4e3ffd4635ad4e3d062a7578b81c4fe522357b2a", "created_at": "2026-11-01T19:20:18Z", "updated_at": "2026-11-01T21:32:32Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and Validation of a Hypoxia and Glycolysis Prognostic Signatures in Lung Adenocarcinoma.", "doi": "10.7150/jca.91504", "pmid": "38370379", "authors": ["Wenhao Zhao", "Chen Ding", "Meiru Zhao", "Yongwen Li", "Hua Huang", "Xuanguang Li", "Qian Cheng", "Zijian Shi", "Weining Gao", "Hongyu Liu", "Jun Chen"], "journal": "Journal of Cancer", "year": 2024, "abstract": "Background: Lung adenocarcinoma (LUAD) represents a prevalent subtype of non-small cell lung cancer with a complex molecular landscape. Dysregulated cellular energetics, notably the interplay between hypoxia and glycolysis, has emerged as a hallmark feature of LUAD tumorigenesis and progression. In this study, we aimed to identify hypoxia and glycolysis related gene signatures and construct a prognostic model to enhance the clinical management of LUAD. Methods: A gene signature associated with hypoxia and glycolysis was established within the The Cancer Genome Atlas (TCGA) cohort and subsequently validated in the GSE31210 cohort. Additionally, a nomogram was formulated to aid in predictive modeling. Subsequently, an evaluation of the tumor microenvironment and immune checkpoints expression levels was conducted to discern disparities between low risk and high risk groups. Lastly, an exploration for drugs with potential effectiveness was carried out. Results: Our analyses revealed a distinct hypoxia and glycolysis related gene signature consisting of 6 genes significantly associated with LUAD patient survival. Integration of these genes into the prognostic model demonstrated superior predictive accuracy for patient outcomes. Furthermore, we developed a user-friendly nomogram that effectively translates the model's prognostic information into a practical tool for clinical decision-making. Conclusion: This study elucidates the critical role of hypoxia and glycolysis related genes in LUAD and offers a novel prognostic model with promising clinical utility. This model has the potential to refine risk stratification and guide personalized therapeutic interventions, ultimately improving the prognosis of LUAD patients.", "claims": [{"id": "claim-method", "statement": "A hypoxia and glycolysis related prediction model was established via univariate Cox and least absolute shrinkage and selection operator (LASSO) regression, by using the “Survival” and “Glmnet” 19 R packages.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38370379", "locator": "sections[8] \"Construction and Validation of a Hypoxia and Glycolysis Related Prediction Model\" paragraph 2", "quote": "A hypoxia and glycolysis related prediction model was established via univariate Cox and least absolute shrinkage and selection operator (LASSO) regression, by using the “Survival” and “Glmnet” 19 R packages."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found here: https://portal.gdc.cancer.gov/.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38370379", "locator": "sections[24] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. This data can be found here: https://portal.gdc.cancer.gov/."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The ROC curves of the TCGA cohort showed an area under the curve of 0.700, 0.719, and 0.668 for 1-, 3-, and 5-year overall survival, respectively, while the GSE31210 validation cohort showed values of 0.815, 0.682, and 0.739.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38370379", "locator": "sections[16] \"Construction and Validation of the Hypoxia and Glycolysis Related Prognostic Model\" paragraph 2", "quote": "The ROC curves of the TCGA cohort showed that the area under the curve was 0.700, 0.719, and 0.668, and the validation cohort was 0.815, 0.682, and 0.739, for 1-, 3-, and 5-years OS rates, respectively (Fig. 4H, J)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The ROC curves of the TCGA cohort showed an area under the curve of 0.700, 0.719, and 0.668 for 1-, 3-, and 5-year overall survival, respectively, while the GSE31210 validation cohort showed values of 0.815, 0.682, and 0.739.", "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:38370379"], "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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