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Academic Journal

A 10-Gene Signature to Predict the Prognosis of Early-Stage Triple-Negative Breast Cancer.

  • Authors : Kim CM; CbsBioscience. Inc., Daejeon, Korea.; Department of Pharmacy, College of Pharmacy, CHA University, Seongnam, Korea.

Subjects: Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/genetics ; Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/mortality ; Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/pathology

  • Source: Cancer research and treatment [Cancer Res Treat] 2024 Oct; Vol. 56 (4), pp. 1113-1125. Date of Electronic Publication: 2024 May 10.Publisher: Korean Cancer Association Country of Publication: Korea (South) NLM ID: 101155137 Publication Model: Print-Electronic

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Academic Journal

Machine Learning-Based Prognostic Gene Signature for Early Triple-Negative Breast Cancer.

  • Authors : Kim JW; Division of Hemato-oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.; Lee J

Subjects: Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/genetics ; Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/mortality ; Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/Triple Negative Breast Neoplasms*/pathology

  • Source: Cancer research and treatment [Cancer Res Treat] 2025 Jul; Vol. 57 (3), pp. 731-740. Date of Electronic Publication: 2024 Nov 19.Publisher: Korean Cancer Association Country of Publication: Korea (South) NLM ID: 101155137 Publication Model: Print-Electronic

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Academic Journal

Prognostic Performance of the Next-Generation Sequencing-Based Multigene Assay in Early Breast Cancer Patients Treated According to the 21-Gene Assay Results.

  • Authors : Kang E; Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.; Cheun JH

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/genetics ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/pathology ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/mortality

  • Source: Cancer research and treatment [Cancer Res Treat] 2025 Jul; Vol. 57 (3), pp. 749-759. Date of Electronic Publication: 2024 Dec 23.Publisher: Korean Cancer Association Country of Publication: Korea (South) NLM ID: 101155137 Publication Model: Print-Electronic

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Academic Journal

Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas.

  • Authors : Song Y; Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, China.; Li G

Subjects: Deep Learning* ; Uterine Neoplasms*/Uterine Neoplasms*/Uterine Neoplasms*/genetics ; Uterine Neoplasms*/Uterine Neoplasms*/Uterine Neoplasms*/mortality

  • Source: Cancer research and treatment [Cancer Res Treat] 2025 Jan; Vol. 57 (1), pp. 250-266. Date of Electronic Publication: 2024 Jul 10.Publisher: Korean Cancer Association Country of Publication: Korea (South) NLM ID: 101155137 Publication Model: Print-Electronic

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Academic Journal

Use of a Combined Gene Expression Profile in Implementing a Drug Sensitivity Predictive Model for Breast Cancer.

  • Authors : Zhang X; Department of Pathology, Yanbian University Medical College, Yanji City, China.; Cha IH

Subjects: Gene Expression Profiling* ; Pharmacogenetics*/Pharmacogenetics*/Pharmacogenetics*/methods ; Transcriptome*

  • Source: Cancer research and treatment [Cancer Res Treat] 2017 Jan; Vol. 49 (1), pp. 116-128. Date of Electronic Publication: 2016 May 18.Publisher: Korean Cancer Association Country of Publication: Korea (South) NLM ID: 101155137 Publication Model: Print-Electronic

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