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pmid:39444152

Establishment and validation of the prognostic risk model based on the anoikis-related genes in esophageal squamous cell carcinoma.

Shasha Cao · Ming Li · Zhiying Cui · Yutong Li · Wei Niu · Weiwei Zhu · Junkuo Li · Lijuan Duan · Shumin Lun · Zhaowei Gao · Yaowen Zhang

Annals of medicine · 2024 doi:10.1080/07853890.2024.2418338

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:39444152
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science-record
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
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2026-11-01T20:29:42Z
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2026-11-01T22:13:00Z
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paper object · 10 fields
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title
Establishment and validation of the prognostic risk model based on the anoikis-related genes in esophageal squamous cell carcinoma.
doi
10.1080/07853890.2024.2418338
pmid
39444152
authors array · 11 items
[0]
Shasha Cao
[1]
Ming Li
[2]
Zhiying Cui
[3]
Yutong Li
[4]
Wei Niu
[5]
Weiwei Zhu
[6]
Junkuo Li
[7]
Lijuan Duan
[8]
Shumin Lun
[9]
Zhaowei Gao
[10]
Yaowen Zhang
journal
Annals of medicine
year
2024
abstract
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a malignant condition in humans. Anoikis-related genes (ARGs) are crucial to cancer progression. Therefore, more studies on the relationship between ARGs and ESCC are warranted. METHODS: The study acquired ESCC-related transcriptome data from TCGA. Differentially expressed ARGs (DE-ARGs) were obtained by differential analysis and candidates were filtered out by survival analysis. Prognostic genes were determined by Cox and LASSO regression. A risk model was constructed based on prognostic gene expressions. An immune infiltration study was done to explain how these genes contribute to ESCC development. The IC50 test was adopted to assess the clinical response of chemotherapy drugs. Single cell analysis was performed on the GSE145370 dataset. Moreover, the prognostic gene expressions were detected by qRT-PCR. RESULTS: 53 DE-ARGs were screened and four candidate genes including PBK, LAMC2, TNFSF10 and KL were obtained. Cox and LASSO regression identified the two prognostic genes, TNFSF10 and PBK. Immuno-infiltration analysis revealed positive associations of PBK with Macrophages M0 cells, and TNFSF10 with Macrophages M1 cells. The IC50 values of predicted drugs, in the case of Tozasertib 1096 and WIKI4 1940, were significantly variant between risk groups. Single cell analysis revealed that TNFSF10 and PBK levels were higher in epithelial cells than in other cells. The prognostic genes expression results by qRT-PCR were compatible with the dataset analysis. CONCLUSION: The study established an ARG prognosis model of ESCC. It provided a reference for the research of ARGs in ESCC.
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Candidate genes were screened for prognostic genes based on the prognostic information of ESCC samples in TCGA by univariate, multivariate cox and LASSO regression analysis respectively.
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Candidate genes were screened for prognostic genes based on the prognostic information of ESCC samples in TCGA by univariate, multivariate cox and LASSO regression analysis respectively.
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sections[34] "Data availability statement" paragraph 2
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The data and materials in the current study are available from the corresponding author on reasonable request.
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The study established a prognostic model of ESCC based on the anoikis-related genes TNFSF10 and PBK.
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53 DE-ARGs were screened and four candidate genes including PBK, LAMC2, TNFSF10 and KL were obtained. Cox and LASSO regression identified the two prognostic genes, TNFSF10 and PBK.
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The study established an ARG prognosis model of ESCC.
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The study established a prognostic model of ESCC based on the anoikis-related genes TNFSF10 and PBK.
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Immune suppressive landscape in a human esophageal squamous cell carcinoma microenvironment
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LncRNA profile study reveals a three-lncRNA signature associated with the survival of esophageal squamous cell carcinoma patients (independent set)
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39444152", "kind": "science-record", "revision": 3, "content_hash": "sha256:92a203ba2908a25b65dfee1bd74b1fb1802415d255796e791df5592013bc58fd", "created_at": "2026-11-01T20:29:42Z", "updated_at": "2026-11-01T22:13:00Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Establishment and validation of the prognostic risk model based on the anoikis-related genes in esophageal squamous cell carcinoma.", "doi": "10.1080/07853890.2024.2418338", "pmid": "39444152", "authors": ["Shasha Cao", "Ming Li", "Zhiying Cui", "Yutong Li", "Wei Niu", "Weiwei Zhu", "Junkuo Li", "Lijuan Duan", "Shumin Lun", "Zhaowei Gao", "Yaowen Zhang"], "journal": "Annals of medicine", "year": 2024, "abstract": "BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a malignant condition in humans. Anoikis-related genes (ARGs) are crucial to cancer progression. Therefore, more studies on the relationship between ARGs and ESCC are warranted.\nMETHODS: The study acquired ESCC-related transcriptome data from TCGA. Differentially expressed ARGs (DE-ARGs) were obtained by differential analysis and candidates were filtered out by survival analysis. Prognostic genes were determined by Cox and LASSO regression. A risk model was constructed based on prognostic gene expressions. An immune infiltration study was done to explain how these genes contribute to ESCC development. The IC50 test was adopted to assess the clinical response of chemotherapy drugs. Single cell analysis was performed on the GSE145370 dataset. Moreover, the prognostic gene expressions were detected by qRT-PCR.\nRESULTS: 53 DE-ARGs were screened and four candidate genes including PBK, LAMC2, TNFSF10 and KL were obtained. Cox and LASSO regression identified the two prognostic genes, TNFSF10 and PBK. Immuno-infiltration analysis revealed positive associations of PBK with Macrophages M0 cells, and TNFSF10 with Macrophages M1 cells. The IC50 values of predicted drugs, in the case of Tozasertib 1096 and WIKI4 1940, were significantly variant between risk groups. Single cell analysis revealed that TNFSF10 and PBK levels were higher in epithelial cells than in other cells. The prognostic genes expression results by qRT-PCR were compatible with the dataset analysis.\nCONCLUSION: The study established an ARG prognosis model of ESCC. 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Cox and LASSO regression identified the two prognostic genes, TNFSF10 and PBK."}, {"asset": "source:pmid:39444152", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "The study established an ARG prognosis model of ESCC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "The study established a prognostic model of ESCC based on the anoikis-related genes TNFSF10 and PBK.", "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:39444152"], "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:GSE145370"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:group_comparison_mann_whitney", "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:GSE145370"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:group_comparison_mann_whitney"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39444152", "role": "manuscript", "format": "xml", "media_type": "application/xml", 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