Evidence map›Paper›PMID 20072669›Full record

ArticleBiomarker insights2009

Protein modifications as potential biomarkers in breast cancer.

Hongjun Jin, Richard C Zangar

Open access · goldAbstract read
In one paragraph

Article in Biomarker insights, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

25 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
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  9. Review
  10. Observational
  11. Article
  12. Proteomics and its applications in breast cancer.American journal of cancer research · 2021
    Review
  13. Autoantibodies in Early Detection of Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  14. Decoding the PTM-switchboard of Notch.Biochimica et biophysica acta. Molecular cell research · 2019
    Review
  15. Article
  16. Article
  17. Article
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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

2 authors at 1 institution in 1 country.

Hongjun JinCell Biology and Biochemistry Group, Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, PO Box 999, 902 Battelle Blvd, Richland, WA 99352.
Richard C Zangar
Pacific Northwest National Laboratory · US

Funding

MOUSE BIOMARKER DISCOVERY AND VALIDATION STUDIESU54ES016015 · NIEHS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI POUNDS, JOEL G · 2007 to 2010
$5.8M
High-Throughput Evaluation of Breast Cancer MarkersU01CA117378 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI ZANGAR, RICHARD C · 2005 to 2009
$2.2M
Bioinformatics for Protein MicroarraysR01EB006177 · NIBIB · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI ZANGAR, RICHARD C · 2007 to 2009
$954k
NCI NIH HHS U01 CA117378NIBIB NIH HHS R01 EB006177NIEHS NIH HHS U54 ES016015
6 · The paper itself

Abstract

A variety of post-translational protein modifications (PTMs) are known to be altered as a result of cancer development. Thus, these PTMs are potentially useful biomarkers for breast cancer. Mass spectrometry, antibody microarrays and immunohistochemistry techniques have shown promise for identifying changes in PTMs. In this review, we summarize the current literature on PTMs identified in the plasma and tumor tissue of breast-cancer patients or in breast cell lines. We also discuss some of the analytical techniques currently being used to evaluate PTMs.

Indexed as

biomarkersbreast cancerpost-translational modificationsPTMs

Identifiers

PMID20072669
PMCPMC2805424
OpenAlexW1557061107

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.