Evidence map›Paper›PMID 31243108›Full record

ArticleCancer genomics & proteomics

Comparative Proteome Profiling and Mutant Protein Identification in Metastatic Prostate Cancer Cells by Quantitative Mass Spectrometry-based Proteogenomics.

Oh Kwang Kwon, Yun-Sok Ha, Jun Nyung Lee, Sunjoo Kim, Hyesuk Lee, So Young Chun, Tae Gyun Kwon, Sangkyu Lee

Abstract read
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Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. PDK4 expression and tumor aggressiveness in prostate cancer.Investigative and clinical urology · 2025
    Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Prostate cancer in omics era.Cancer cell international · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

8 authors.

Oh Kwang KwonBK21 Plus KNU Multi-Omics-based Creative Drug Research Team, College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea.
Yun-Sok HaDepartment of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Jun Nyung LeeDepartment of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Sunjoo KimBK21 Plus Team for Creative Leader Program for Pharmacomics-based Future, Pharmacy and Integrated Research Institute of Pharmaceutical Sciences, College of Pharmacy, The Catholic University of Korea, Bucheon, Republic of Korea.
Hyesuk LeeBK21 Plus Team for Creative Leader Program for Pharmacomics-based Future, Pharmacy and Integrated Research Institute of Pharmaceutical Sciences, College of Pharmacy, The Catholic University of Korea, Bucheon, Republic of Korea.
So Young ChunJoint Institute for Regenerative Medicine, Kyungpook National University Hospital, Daegu, Republic of Korea.
Tae Gyun KwonDepartment of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea sangkyu@knu.ac.kr tgkwon@knu.ac.kr.
Sangkyu LeeBK21 Plus KNU Multi-Omics-based Creative Drug Research Team, College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea sangkyu@knu.ac.kr tgkwon@knu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimProstate cancer (PCa) is the most frequent cancer found in males worldwide. The aim of this study was to identify new biomarkers using mutated peptides for the prognosis and prediction of advanced PCa, based on proteogenomics. MATERIALS AND

methodsThe tryptic peptides were analyzed by tandem mass tag-based quantitative proteomics. Proteogenomics were used to identify mutant peptides as novel biomarkers in advanced PCa.

resultsUsing a human database, increased levels of INTS7 and decreased levels of SH3BGRL were found to be associated with the aggressiveness of PCa. Using proteogenomics and a cancer mutation database, 70 mutant peptides were identified in PCa cell lines. Using parallel reaction monitoring, the expression of seven mutant peptides was found to be altered in tumors, amongst which CAPN2 D22E was the most significantly up-regulated mutant peptide in PCa tissues.

conclusionAltered mutant peptides present in PCa tissue could be used as new biomarkers in advanced PCa.

Indexed as

HumansMaleNeoplasm MetastasisProstatic NeoplasmsProteogenomicsProteomeTandem Mass SpectrometryProteomemetastasismutated peptidesProstate cancerproteogenomicsquantitative proteomics

Identifiers

PMID31243108
PMCPMC6609260

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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.