journal article·2026-01Open access

Proteogenomic Characterization Reveals Metabolic Vulnerabilities and Aberrant Phosphorylation in Colorectal Metastasis to Liver

Wensi Zhao, Lei Zhao, Yannan Lian, Zhiwei Liu, Yaqi Li, Xuege Wang, Mingya Zhang, Ni Li, Jingli Guo, Danqing Shen, Shaobo Mo, Jiahao Li, Linhui Zhai, Jiahui Ni, Sangkyu Lee, Bin Liu, Jing Li, Fei Wang, Junjie Peng, Jun Qin, Minjia Tan

Advanced Science· Volume 13· Issue 4

Abstract

Abstract Colorectal liver metastasis (CRLM) is one of the leading death causes among colorectal cancer (CRC) patients, yet its underlying molecular events remain poorly understood, particularly at the proteomic and phosphoproteomic levels. A proteogenomic analysis combining genomics, transcriptomics, proteomics, and phosphoproteomics is performed on 102 samples from 34 treatment‐naïve CRLM patients, including primary CRC, adjacent normal colorectal, and matched liver metastasis tissues. CRC cell lines, organoids, mouse models, and an independent patient cohort are used to validate the findings. Proteomics and phosphoproteomics show profoundly dysregulated pathways in liver metastasis tissues, notably disruptions in carbon metabolism. Functional validation using CRC organoids and mouse models demonstrates that the one‐carbon metabolism enzyme SHMT1 promotes CRC tumorigenesis and metastasis via formate‐mediated AMPK inhibition, whereas PIM kinase‐dependent NDRG1 Ser330 phosphorylation exacerbates liver metastasis by promoting ubiquitin‐dependent degradation of NDRG1. Unsupervised clustering identifies two proteomic subtypes of liver metastasis samples with distinct clinical outcomes: a poor‐prognosis C1 (metabolism) subtype and a better‐prognosis C2 (RNA function) subtype. Considering expression frequency, specificity, and functional relevance, FTCD, GPD1, SOD2, and EIF4B Ser422 phosphorylation are further identified and validated as subtype prognostic biomarkers. This study provides critical insights into the molecular mechanisms underlying CRLM and offers resources for high‐risk metastatic CRC.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Mechanisms of cancer metastasis · Cancer Mechanisms and Therapy · Chromatin Remodeling and Cancer

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Translational Research Institute of Brain and Brain‐Like Intelligence Shanghai Fourth People's Hospital, and Cancer Center School of Medicine Tongji University Shanghai 200434 China

Shanghai Institute of Nutrition and Health Chinese Academy of Sciences 320 Yueyang Road Shanghai 200031 China

State Key Laboratory of Drug Research Shanghai Institute of Materia Medica Chinese Academy of Sciences Shanghai 201203 China

Department of Colorectal Surgery Fudan University Shanghai Cancer Center Department of Oncology Shanghai Medical College Fudan University Shanghai 200032 China

Department of Bioinformatics and Biostatistics School of Life Sciences and Biotechnology Shanghai Jiao Tong University Shanghai 200240 China

Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science and Technology Fudan University Shanghai 200433 China

School of Pharmacy Sungkyunkwan University Suwon 16419 Republic of Korea

Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening College of Pharmacy Jiangsu Ocean University Lianyungang 222005 China

Jinfeng Laboratory Chongqing 401329 China

Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica Chinese Academy of Sciences Zhongshan 528400 China

Funding

National Natural Science Foundation of China · Zhongshan Science and Technology Bureau

References (62)

Show source-provided references
1. 10.1038/s41392-024-01953-710.1038/s41392-024-01953-7 ↗
2. 10.1038/s41575-024-00934-z10.1038/s41575-024-00934-z ↗
3. 10.3322/caac.2183410.3322/caac.21834 ↗
4. 10.1038/s41572-021-00261-610.1038/s41572-021-00261-6 ↗
5. 10.1186/s40880-018-0298-810.1186/s40880-018-0298-8 ↗
6. 10.1016/j.ejso.2017.10.21810.1016/j.ejso.2017.10.218 ↗
7. 10.1007/s10585-015-9715-410.1007/s10585-015-9715-4 ↗
8. 10.1245/s10434-016-5187-210.1245/s10434-016-5187-2 ↗
9. 10.1097/SLA.000000000000236710.1097/SLA.0000000000002367 ↗
10. 10.1093/jncics/pkab02610.1093/jncics/pkab026 ↗
11. 10.1097/00000658-199909000-0000410.1097/00000658-199909000-00004 ↗
12. 10.1097/SLA.000000000000231910.1097/SLA.0000000000002319 ↗
13. 10.1038/s41591-020-1131-x10.1038/s41591-020-1131-x ↗
14. 10.1038/s41568-020-00320-210.1038/s41568-020-00320-2 ↗
15. 10.1016/j.cmet.2018.04.00310.1016/j.cmet.2018.04.003 ↗
16. 10.1158/2159-8290.CD-21-031610.1158/2159-8290.CD-21-0316 ↗
17. 10.1038/nrc.2016.12610.1038/nrc.2016.126 ↗
18. 10.1053/j.gastro.2009.03.04110.1053/j.gastro.2009.03.041 ↗
19. 10.1038/s41588-019-0423-x10.1038/s41588-019-0423-x ↗
20. 10.1126/science.109205310.1126/science.1092053 ↗
21. 10.1016/j.jprot.2021.10431710.1016/j.jprot.2021.104317 ↗
22. 10.1038/nature1343810.1038/nature13438 ↗
23. 10.1053/j.gastro.2017.06.00810.1053/j.gastro.2017.06.008 ↗
24. 10.1016/j.cell.2019.03.03010.1016/j.cell.2019.03.030 ↗
25. 10.1158/0008-5472.CAN-23-187810.1158/0008-5472.CAN-23-1878 ↗
26. 10.1016/j.cell.2020.06.01310.1016/j.cell.2020.06.013 ↗
27. 10.1186/s13045-022-01291-710.1186/s13045-022-01291-7 ↗
28. 10.1016/j.cell.2018.08.05810.1016/j.cell.2018.08.058 ↗
29. 10.1016/j.molcel.2021.07.02110.1016/j.molcel.2021.07.021 ↗
30. 10.1158/1078-0432.CCR-04-224310.1158/1078-0432.CCR-04-2243 ↗
31. 10.1038/s41467-023-44126-w10.1038/s41467-023-44126-w ↗
32. 10.1038/s41568-022-00541-710.1038/s41568-022-00541-7 ↗
33. 10.1073/pnas.141916111110.1073/pnas.1419161111 ↗
34. 10.1038/s41418-020-0596-y10.1038/s41418-020-0596-y ↗
35. 10.1016/j.bbamcr.2018.10.00310.1016/j.bbamcr.2018.10.003 ↗
36. 10.1016/j.immuni.2018.03.02310.1016/j.immuni.2018.03.023 ↗
37. 10.1186/s13059-017-1349-110.1186/s13059-017-1349-1 ↗
38. Liu R. · Journal of experimental & clinical cancer research: CR · 2021 · 40 · 18810.1186/s13046-021-01996-6 ↗
39. 10.1038/s41388-018-0384-z10.1038/s41388-018-0384-z ↗
40. 10.1016/j.ccell.2020.08.00210.1016/j.ccell.2020.08.002 ↗
41. 10.1038/s41587-019-0344-310.1038/s41587-019-0344-3 ↗
42. 10.1074/jbc.M115.68965310.1074/jbc.M115.689653 ↗
43. 10.7150/ijbs.5669410.7150/ijbs.56694 ↗
44. Zhang S. · Journal of experimental & clinical cancer research : CR · 2019 · 38 · 49010.1186/s13046-019-1476-5 ↗
45. 10.1002/jso.2434810.1002/jso.24348 ↗
46. 10.1093/nar/gkj10910.1093/nar/gkj109 ↗
47. 10.1038/s41586-022-05575-310.1038/s41586-022-05575-3 ↗
48. 10.1073/pnas.101321410810.1073/pnas.1013214108 ↗
49. 10.1002/bjs.1118010.1002/bjs.11180 ↗
50. 10.1126/science.adn810510.1126/science.adn8105 ↗
51. 10.1093/jnci/djj10510.1093/jnci/djj105 ↗
52. 10.1016/j.canlet.2019.12.03210.1016/j.canlet.2019.12.032 ↗
53. 10.1038/sj.emboj.760116610.1038/sj.emboj.7601166 ↗
54. 10.1038/s41388-023-02653-210.1038/s41388-023-02653-2 ↗
55. 10.1158/0008-5472.CAN-10-188610.1158/0008-5472.CAN-10-1886 ↗
56. 10.1038/s41419-020-2523-z10.1038/s41419-020-2523-z ↗
57. 10.1161/CIRCRESAHA.115.30444110.1161/CIRCRESAHA.115.304441 ↗
58. 10.1016/j.canlet.2025.21749610.1016/j.canlet.2025.217496 ↗
59. 10.1053/j.gastro.2023.11.28410.1053/j.gastro.2023.11.284 ↗
60. 10.1016/j.stem.2019.06.00410.1016/j.stem.2019.06.004 ↗
61. 10.1016/j.prp.2015.11.00210.1016/j.prp.2015.11.002 ↗
62. Ye H. · Cancer Genomics Proteomics · 2008 · 5 · 85