Evidence map›Paper›PMID 41195591›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

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 and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Wensi ZhaoTranslational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, and Cancer Center, School of Medicine, Tongji University, Shanghai, 200434, China.
Lei ZhaoTranslational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, and Cancer Center, School of Medicine, Tongji University, Shanghai, 200434, China.
Yannan LianShanghai Institute of Nutrition and Health, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, China.
Zhiwei LiuState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Yaqi LiDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Xuege WangShanghai Institute of Nutrition and Health, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, China.
Mingya ZhangState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Ni LiShanghai Institute of Nutrition and Health, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, China.
Jingli GuoState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Danqing ShenDepartment of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Shaobo MoDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Jiahao LiShanghai Key Laboratory of Intelligent Information Processing, School of Computer Science and Technology, Fudan University, Shanghai, 200433, China.
Linhui ZhaiTranslational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, and Cancer Center, School of Medicine, Tongji University, Shanghai, 200434, China.
Jiahui NiState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Sangkyu LeeSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Bin LiuJiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China.
Jing LiDepartment of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Fei WangShanghai Key Laboratory of Intelligent Information Processing, School of Computer Science and Technology, Fudan University, Shanghai, 200433, China.
Junjie PengDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Jun QinShanghai Institute of Nutrition and Health, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, China.
Minjia TanTranslational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, and Cancer Center, School of Medicine, Tongji University, Shanghai, 200434, China.ORCID https://orcid.org/0000-0002-6784-9653

Funding

Guangdong High-level Innovative Research Institute 2021B0909050003Guangdong High-level New R&D Institute 2019B090904008Innovative Research Team of High-Level Local Universities in Shanghai SHSMU-ZDCX20212700Jinfeng startup funding in ChongqingNational Natural Science Foundation of China 22225702National Natural Science Foundation of China 82372974National Natural Science Foundation of China 8245103National Natural Science Foundation of China 82473500National Natural Science Foundation of China T2488301National Natural Science Foundation of China U24A20524Strategic Priority Research Program of the Chinese Academy of Sciences XDB0830000Zhongshan Science and Technology Bureau CXTD2023009
6 · The paper itself

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.

Indexed as

Colorectal NeoplasmsLiver NeoplasmsProteogenomicsAnimalsCell Line, TumorFemaleHumansMaleMicePhosphorylationProteomicsbiomarkercolorectal liver metastasisphosphoproteomicsproteomicsproteomic subtypeSHMT1

Identifiers

PMID41195591
PMCPMC12822478

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.