Prognostic significance of DNA damage response-related markers in esophageal squamous cell carcinoma using machine learning approaches.

Huang C, Zhang YJ, Zhang F, Gai CY, Li ZH, Lv HL, Wen SW, Tian ZQ

DOI: 10.21037/jgo-2026-0588
Published: 2026 Aug 31
Container: Journal of gastrointestinal oncology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.21037/jgo-2026-0588,
  title = {Prognostic significance of DNA damage response-related markers in esophageal squamous cell carcinoma using machine learning approaches.},
  author = {Huang C and Zhang YJ and Zhang F and Gai CY and Li ZH and Lv HL and Wen SW and Tian ZQ},
  year = {2026},
  journal = {Journal of gastrointestinal oncology},
  doi = {10.21037/jgo-2026-0588},
  url = {https://doi.org/10.21037/jgo-2026-0588}
}

RIS

TY  - JOUR
TI  - Prognostic significance of DNA damage response-related markers in esophageal squamous cell carcinoma using machine learning approaches.
AU  - Huang C
AU  - Zhang YJ
AU  - Zhang F
AU  - Gai CY
AU  - Li ZH
AU  - Lv HL
AU  - Wen SW
AU  - Tian ZQ
PY  - 2026
JO  - Journal of gastrointestinal oncology
DO  - 10.21037/jgo-2026-0588
UR  - https://doi.org/10.21037/jgo-2026-0588
ER  -

APA

C, H., YJ, Z., F, Z., CY, G., ZH, L., HL, L., SW, W., & ZQ, T. (2026). Prognostic significance of DNA damage response-related markers in esophageal squamous cell carcinoma using machine learning approaches.. Journal of gastrointestinal oncology. https://doi.org/10.21037/jgo-2026-0588

Source records

pubmed · retrieved 2026-09-25T13:56:18.269Z