Evidence map›Paper›PMID 27659785›Full record

ArticleJournal of cancer research and clinical oncology2017

Quantitative proteome analysis of colorectal cancer-related differential proteins.

Yanbin Zhang, Yue Liu, Yingjiang Ye, Danhua Shen, Hui Zhang, Hongyan Huang, Sha Li, Shan Wang, Jun Ren

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. THBS1 facilitates colorectal liver metastasis through enhancing epithelial-mesenchymal transition.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    Article
  7. Article
  8. Review
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

9 authors.

Yanbin ZhangBeijing Key Lab for Therapeutic Cancer Vaccines, Capital Medical University Cancer Center, Beijing Shijitan Hospital, The Capital Medical University, Beijing, China.
Yue LiuBeijing Key Lab for Therapeutic Cancer Vaccines, Capital Medical University Cancer Center, Beijing Shijitan Hospital, The Capital Medical University, Beijing, China.
Yingjiang YeDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Peking University, Beijing, China.
Danhua ShenDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Peking University, Beijing, China.
Hui ZhangDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Peking University, Beijing, China.
Hongyan HuangBeijing Key Lab for Therapeutic Cancer Vaccines, Capital Medical University Cancer Center, Beijing Shijitan Hospital, The Capital Medical University, Beijing, China.
Sha LiBeijing Key Lab for Therapeutic Cancer Vaccines, Capital Medical University Cancer Center, Beijing Shijitan Hospital, The Capital Medical University, Beijing, China.
Shan WangDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Peking University, Beijing, China.
Jun RenBeijing Key Lab for Therapeutic Cancer Vaccines, Capital Medical University Cancer Center, Beijing Shijitan Hospital, The Capital Medical University, Beijing, China. jun.ren@duke.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate a new strategy for profiling proteomic changes in colorectal cancer (CRC). METHODES: We used laser capture microdissection (LCM) to obtain cells from 20 CRC and paired normal mucosal tissues. The differential proteins between the microdissected tumor cells and normal mucosa epithelia were analyzed by acetylation stable isotopic labeling coupled with L linear ion trap Fourier transform ion cyclotron resonance mass spectrometry (LTQ-FT MS). Western blotting was used to assess the differential expression of proteins. We used bioinformatics tools for cluster and ingenuity pathway analysis of the differential proteins.

resultsIn total, 798 confident proteins were quantified and 137 proteins were differentially expressed by at least twofold, including 67 that were upregulated and 70 that were downregulated in cancer. Two differential proteins, solute carrier family 12 member 2 (SLC12A2) and Ras-related protein Rab-10, were validated by Western blotting, and the results were consistent with acetylation stable isotopic labeling analysis. According to gene ontology analysis, CRC-related differential proteins covered a wide range of subcellular locations and were involved in many biological processes. According to ingenuity pathway analysis of the differential proteins, the most relevant canonical pathway associated with CRC was the 14-3-3-mediated signaling pathway, and seven reliable functional networks including cellular growth and proliferation, amino acid metabolism, inflammatory response, embryonic development, carbohydrate metabolism, cellular assembly and organization, and cell morphology were obtained.

conclusionsCombination of LCM, acetylation stable isotopic labeling analysis and LTQ-FT MS is effective for profiling proteomic changes in CRC cells.

Indexed as

Biomarkers, TumorColorectal NeoplasmsGene ExpressionGene OntologyHumansMetabolic Networks and PathwaysProteomeSignal TransductionBiomarkers, TumorProteomeAcetylation stable isotopic labelingColorectal cancerLaser capture microdissectionQuantitative proteomics

Identifiers

PMID27659785
PMCPMC11819047

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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.