Machine learning-based screening and validation of liver metastasis-specific genes in colorectal cancer-Reference-Cited by-同舟云学术

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Machine learning-based screening and validation of liver metastasis-specific genes in colorectal cancer

Published:2024-07-30 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Zheng Shiyao,He Hongxin,Zheng Jianfeng,Zhu Xingshu,Lin Nan,Wu Qing,Wei Enhao,Weng Caiming,Chen Shuqian,Huang Xinxiang,Jian Chenxing,Guan Shen,Yang Chunkang

Funder

Medical Innovation Project of Fujian Province

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-68706-y.pdf

Reference64 articles.

1. Torre, L. A. et al. Global cancer incidence and mortality rates and trends–an update. Cancer Epidemiol. Biomark. Prev. 25(1), 16–27 (2016).

2. Lambert, A. W., Pattabiraman, D. R. & Weinberg, R. A. Emerging biological principles of metastasis. Cell 168(4), 670–691 (2017).

3. Lengel, H. B. et al. Genomic mapping of metastatic organotropism in lung adenocarcinoma. Cancer Cell 41(5), 970-985.e3 (2023).

4. Aasebø, K. et al. CDX2: A prognostic marker in metastatic colorectal cancer defining a better BRAF mutated and a worse KRAS mutated subgroup. Front. Oncol. 10, 8 (2020).

5. Bellizzi, A. M. An algorithmic immunohistochemical approach to define tumor type and assign site of origin. Adv. Anat. Pathol. 27(3), 114–163 (2020).

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