| For: | Luan WY, Zhao Q, Zhang Z, Xu ZX, Lin SX, Miao YD. Multidimensional decoding of colorectal cancer heterogeneity: Artificial intelligence-enabled precision exploration of single-cell and spatial transcriptomics. World J Gastrointest Oncol 2025; 17(10): 110661 [PMID: 41114099 DOI: 10.4251/wjgo.v17.i10.110661] |
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| URL: | https://www.wjgnet.com/1948-5204/full/v17/i10/110661.htm |
| Number | Citing Articles |
| 1 |
Dongxue Yu, Jiandong Tai. A new paradigm in postoperative colorectal cancer surveillance: integrating advanced imaging and multi-omics. Frontiers in Physiology 2026; 16 doi: 10.3389/fphys.2025.1758385
|
| 2 |
Muhammad Sohail Khan, Muhammad Saeed, Muhammad Arham, Imran Zafar, Majid Hussian, Adil Jamal, Muhammad Usman, Fayez Saeed Bahwerth, Gabsik Yang, Ki Sung Kang. Next-Generation Artificial Intelligence Strategies for Mechanistic Cancer Target Discovery and Drug Development: A State-of-the-Art Review. International Journal of Molecular Sciences 2026; 27(9) doi: 10.3390/ijms27094028
|
| 3 |
Puwei Huang, Huining Huo, Yang Yang, Tao Li, Yuxiang Fei, Kexin Hu, Hongyu Li, Junwei Wang, Zhiying Weng, Qianming Du. Common subtypes of CAFs and their research progress in immune evasion of colorectal cancer. Cytokine 2026; 204 doi: 10.1016/j.cyto.2026.157173
|
| 4 |
Bin Su, Junshan Li, Jie Zhang, Tao Deng, Zheng Fang, Yuanlong Wang. Synergistic role of multi-omics analysis combined with multimodal imaging in precision diagnosis and treatment of thoracic and abdominal tumors. Current Radiopharmaceuticals 2026; 19(3) doi: 10.1016/j.craph.2026.100040
|
| 5 |
Pengfei Wu, Guodong Liu, Lening Shao, Yongyou Wu.
CDH1
,
CAV1
,
NR3C1
, and
ZEB1
are Potential Biomarkers in Colorectal Cancer Drug Resistance and Prognosis
. Technology in Cancer Research & Treatment 2026; 25 doi: 10.1177/15330338261430993
|