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pmid:39215852

Exploring the prognosis value, immune correlation, and drug responsiveness prediction of homeobox C6 (HOXC6) in lung adenocarcinoma.

Mei Xin · Huajian Peng · Linbo Zhang

Discover oncology · 2024 doi:10.1007/s12672-024-01273-w

Paper

complete

Experiment

complete

Data

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title
Exploring the prognosis value, immune correlation, and drug responsiveness prediction of homeobox C6 (HOXC6) in lung adenocarcinoma.
doi
10.1007/s12672-024-01273-w
pmid
39215852
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Mei Xin
[1]
Huajian Peng
[2]
Linbo Zhang
journal
Discover oncology
year
2024
abstract
BACKGROUNDS: Homeobox C6 (HOXC6) is a gene that encodes for a transcription factor involved in various cellular processes, including development and differentiation, and regulates cancer progression. However, the carcinogenesis and effect of HOXC6 in lung adenocarcinoma (LUAD) still need further investigation. METHODS: The differential HOXC6 expression levels at the mRNA and protein level were explored in multiple public datasets, including The Cancer Genome Atlas (TCGA) and Human Protein Atlas (HPA) dataset. Gene Expression Omnibus (GSE31210), International Cancer Genome Consortium (ICGC) datasets and the LUAD sample from Affiliated Hospital of Guangxi Medical University. We also investigated the relation between HOXC6 expression and clinicopathologic indexes. Furthermore, the correlation of immune infiltration, drug responsiveness and HOXC6 were explored. RESULTS: The upregulated HOXC6 expressions at mRNA and protein levels were found in LUAD tissues compared to the normal lung tissues. Besides, the relatively shorter overall survival time, worse T and N stages, and lower immune scores were found in the high-expression HOXC6 subgroup. Notably, T cells regulatory (Tregs), Macrophages M0, and Plasma cells had the higher infiltration levels in the high-HOXC6 expression subgroup, while NK cells activated, Monocytes, Dendritic cells resting, and Mast cells resting had the lower infiltration levels. In drug sensitivity analysis, we revealed that LUAD patients with high-HOXC6 expression may be more susceptible to Camptothecin, Cytarabine, Docetaxel, Elesclomol, Rapamycin, Sorafinib, Temsirolimus, and Vorinostat. CONCLUSIONS: Taken together, there is a great potential for HOXC6 to become a prognosis biomarker and contribute to develop treatment strategies for LUAD patients. Further mechanism exploration and drug development for HOXC6 are needed.
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The Kaplan Meier survival analysis revealed that the LUAD patients in the high HOXC6-expression group carried a worse OS in the TCGA cohort (Fig. 1G).
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The Kaplan Meier survival analysis revealed that the LUAD patients in the high HOXC6-expression group carried a worse OS in the TCGA cohort (Fig. 1G).
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All raw online RNA sequencing dataset and clinical information of LUAD patients, which were included in the current study, can be downloaded from the TCGA (https:// por-tal.gdc.cancer.gov/), ICGC (http://dcc.icgc.org), and GEO database (https://www.ncbi.nlm.nih.gov/geo/). Further inquiries can be directed to the corresponding author.
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All raw online RNA sequencing dataset and clinical information of LUAD patients, which were included in the current study, can be downloaded from the TCGA (https:// por-tal.gdc.cancer.gov/), ICGC (http://dcc.icgc.org), and GEO database (https://www.ncbi.nlm.nih.gov/geo/). Further inquiries can be directed to the corresponding author.
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asset:data:geo:GSE31210 not downloaded
[2]
execution.not_run
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review.machine_critique
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The Kaplan Meier survival analysis revealed that the LUAD patients in the high HOXC6-expression group carried a worse OS in the TCGA cohort (Fig. 1G).
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39215852", "kind": "science-record", "revision": 3, "content_hash": "sha256:7f9858287996be1315a66281d24e6bd8c98615b04dc741895c17f8c77f7e0e5d", "created_at": "2026-11-01T20:29:20Z", "updated_at": "2026-11-01T22:12:34Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Exploring the prognosis value, immune correlation, and drug responsiveness prediction of homeobox C6 (HOXC6) in lung adenocarcinoma.", "doi": "10.1007/s12672-024-01273-w", "pmid": "39215852", "authors": ["Mei Xin", "Huajian Peng", "Linbo Zhang"], "journal": "Discover oncology", "year": 2024, "abstract": "BACKGROUNDS: Homeobox C6 (HOXC6) is a gene that encodes for a transcription factor involved in various cellular processes, including development and differentiation, and regulates cancer progression. However, the carcinogenesis and effect of HOXC6 in lung adenocarcinoma (LUAD) still need further investigation.\nMETHODS: The differential HOXC6 expression levels at the mRNA and protein level were explored in multiple public datasets, including The Cancer Genome Atlas (TCGA) and Human Protein Atlas (HPA) dataset. Gene Expression Omnibus (GSE31210), International Cancer Genome Consortium (ICGC) datasets and the LUAD sample from Affiliated Hospital of Guangxi Medical University. We also investigated the relation between HOXC6 expression and clinicopathologic indexes. Furthermore, the correlation of immune infiltration, drug responsiveness and HOXC6 were explored.\nRESULTS: The upregulated HOXC6 expressions at mRNA and protein levels were found in LUAD tissues compared to the normal lung tissues. Besides, the relatively shorter overall survival time, worse T and N stages, and lower immune scores were found in the high-expression HOXC6 subgroup. Notably, T cells regulatory (Tregs), Macrophages M0, and Plasma cells had the higher infiltration levels in the high-HOXC6 expression subgroup, while NK cells activated, Monocytes, Dendritic cells resting, and Mast cells resting had the lower infiltration levels. In drug sensitivity analysis, we revealed that LUAD patients with high-HOXC6 expression may be more susceptible to Camptothecin, Cytarabine, Docetaxel, Elesclomol, Rapamycin, Sorafinib, Temsirolimus, and Vorinostat.\nCONCLUSIONS: Taken together, there is a great potential for HOXC6 to become a prognosis biomarker and contribute to develop treatment strategies for LUAD patients. Further mechanism exploration and drug development for HOXC6 are needed.", "claims": [{"id": "claim-method", "statement": "The Kaplan Meier survival analysis revealed that the LUAD patients in the high HOXC6-expression group carried a worse OS in the TCGA cohort (Fig. 1G).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39215852", "locator": "sections[13] \"HOXC6 correlated with dismal overall survival and poor clinical stage\" paragraph 2", "quote": "The Kaplan Meier survival analysis revealed that the LUAD patients in the high HOXC6-expression group carried a worse OS in the TCGA cohort (Fig. 1G)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All raw online RNA sequencing dataset and clinical information of LUAD patients, which were included in the current study, can be downloaded from the TCGA (https:// por-tal.gdc.cancer.gov/), ICGC (http://dcc.icgc.org), and GEO database (https://www.ncbi.nlm.nih.gov/geo/). Further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39215852", "locator": "sections[27] \"notes\" paragraph 1", "quote": "All raw online RNA sequencing dataset and clinical information of LUAD patients, which were included in the current study, can be downloaded from the TCGA (https:// por-tal.gdc.cancer.gov/), ICGC (http://dcc.icgc.org), and GEO database (https://www.ncbi.nlm.nih.gov/geo/). Further inquiries can be directed to the corresponding author."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "", "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:39215852"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE31210"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE31210"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39215852", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1007/s12672-024-01273-w", "sha256": "sha256:b648c3a000290ad600671bbada27e414c7aa3318699a44b9f979d67a8e6288d5", "bytes": 29169, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1007/s12672-024-01273-w", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11365874", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE31210", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31210", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE31210", "version": null, "note": "All raw online RNA sequencing dataset and clinical information of LUAD patients, which were included in the current study, can be downloaded from the TCGA (https:// por-tal.gdc.cancer.gov/), ICGC (http://dcc.icgc.org), and GEO database (https://www.ncbi.nlm.nih.gov/geo/). 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