Evidence map›Paper›PMID 36249004›Full record

ArticleFrontiers in oncology2022

Proteomics and liquid biopsy characterization of human EMT-related metastasis in colorectal cancer.

Mao-Sen Huang, Li-Hua Fu, Hao-Chao Yan, Lin-Yao Cheng, Hai-Ming Ru, Si Mo, Chun-Yin Wei, Dai-Mou Li, Xian-Wei Mo, Wei-Zhong Tang and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. UnravelingInternational journal of molecular sciences · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Mao-Sen HuangDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Li-Hua FuDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Hao-Chao YanDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Lin-Yao ChengDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Hai-Ming RuDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Si MoDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Chun-Yin WeiDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Dai-Mou LiDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Xian-Wei MoDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Wei-Zhong TangDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Lin-Hai YanDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor cells undergo epithelial-mesenchymal transition (EMT), however, there is a room of disagreement in role of EMT heterogeneity to colorectal cancer metastasis (mCRC) evolution. To uncover new EMT-related metastasis proteins and pathways, we addressed the EMT status in colorectal cancer liver metastasis patient-derived CTCs to identify proteins that promote their distant metastasis. And then, we performed a comparative proteomic analysis in matched pairs of primary tumor tissues, adjacent mucosa tissues and liver metastatic tissues. By integrative analysis we show that, unstable Epithelial/Mesenchymal (E/M)-type CTCs had the strongest liver metastases formation ability and the proportion of E/M-type CTCs correlated with distant metastases. Using an optimized proteomic workflow including data independent acquisition (DIA) and parallel reaction monitoring (PRM), we identified novel EMT-related protein cluster (GNG2, COL6A1, COL6A2, DCN, COL6A3, LAMB2, TNXB, CAVIN1) and well-described (ERBB2) core protein level changes in EMT-related metastasis progression, and the proteomic data indicate ERBB2, COL6A1 and CAVIN1 are promising EMT-related metastatic biomarker candidates. This study contributes to our understanding of the role that EMT plays in CRC metastasis and identifies heterogeneous EMT phenotypes as a key piece for tumor progression and prognosis. We further propose that therapies targeting this aggressive subset (E/M-type) of CTCs and related protein may be worthy of exploration as potential suppressors of metastatic evolution.

Indexed as

CTC (circulation tumor cells)epithelial-mesenchymal transitionliquid biopsyMCRCproteomics

Identifiers

PMID36249004
PMCPMC9560976

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.