Evidence map›Paper›PMID 22740985›Full record

ArticleOncology letters2012

Proteomic studies in breast cancer (Review).

Xian-Ju Qin, Bruce X Ling

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Proteomics and its applications in breast cancer.American journal of cancer research · 2021
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Effects of ARHI on breast cancer cell biological behavior regulated by microRNA-221.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Article
  11. Article
  12. Article
  13. Expression and regulatory function of miRNA-182 in triple-negative breast cancer cells through its targeting of profilin 1.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Article
  14. 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

2 authors at 1 institution in 1 country.

Xian-Ju QinDepartment of General Surgery, Shanghai Eighth People's Hospital, Shanghai 200235, P.R. China.
Bruce X Ling
Shanghai Eighth People Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the most common types of invasive cancer in females worldwide. Despite major advances in early cancer detection and emerging therapeutic strategies, further improvement has to be achieved for precise diagnosis to reduce the chance of metastasis and relapses. Recent proteomic technologies have offered a promising opportunity for the identification of new breast cancer biomarkers. Matrix-assisted laser desorption/ionization, time-of-flight mass spectrometry (MALDI-TOF MS) and the derived surface-enhanced laser desorption/ionization mass spectrometry (SELDI-TOF MS) enable the development of high-throughput proteome analysis based on comprehensive reliable biomarkers. In this review, we examined proteomic technologies and their applications, and provided focus on the proteomics-based profiling analyses of tumor tissues/cells in order to identify and confirm novel biomarkers of breast cancer.

Identifiers

PMID22740985
PMCPMC3362396
OpenAlexW2119320102

What OpenQuestion holds

Textmetadata
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.