Evidence map›Paper›PMID 28454281›Full record

ArticleOncology letters2017

Current status of the prognostic molecular biomarkers in breast cancer: A systematic review.

Goro Kutomi, Toru Mizuguchi, Fukino Satomi, Hideki Maeda, Hiroaki Shima, Yasutoshi Kimura, Koichi Hirata

Registry-linked trialAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03340844 (Role of Circulating Tumor Cells), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT03340844 nacompletednot on this map

Role of Circulating Tumor Cells (CTC´s) Spread During Pancreaticoduodenectomy in Metastasis and Survival Rates in Patients With Pancreatic and Periampullary Tumors

TypeinterventionalSponsorFundación Pública Andaluza para la gestión de la Investigación en SevillaRan2017 to 2023Enrolled86ConditionsPancreatic Tumor, Periampullary Carcinoma Resectable, Circulating Tumor Cells, MetastasisArmsNo Touch (NT), Superior Mesenteric Artery First (SMA)
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Aberrant fatty acid profile and FFAR4 signaling confer endocrine resistance in breast cancer.Journal of experimental & clinical cancer research : CR · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. 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

7 authors.

Goro KutomiDepartment of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Hokkaido 060-8543, Japan.
Toru MizuguchiDepartment of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Hokkaido 060-8543, Japan.
Fukino SatomiDepartment of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Hokkaido 060-8543, Japan.
Hideki MaedaDepartment of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Hokkaido 060-8543, Japan.
Hiroaki ShimaDepartment of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Hokkaido 060-8543, Japan.
Yasutoshi KimuraDepartment of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Hokkaido 060-8543, Japan.
Koichi HirataDepartment of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Hokkaido 060-8543, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers that facilitate the prediction of breast cancer prognosis can improve the quality of life in patients during the long period of illness and treatment. Particularly in recent years, with the advent of a more exhaustive analysis of genetic information and gene products, the molecular mechanisms at play during breast cancer have gradually become clearer. In the present study, a systematic review of the literature between 2009 and 2014 was conducted by searching for the keywords 'breast cancer', 'biomarkers', 'diagnosis', 'prognosis' and 'drug response' to clarify the present state of knowledge regarding biomarkers. In the final analysis, 16 studies on biomarkers for the breast cancer prognosis were retrieved. From these, 7 biomarkers in 9 studies were found to be strongly reliable predictors of prognosis and a further 7 biomarkers in 7 studies were poorly reliable. The use of these prognostic biomarkers should increase the options available for treatment algorithms.

Indexed as

biomarkersbreast cancerdiagnosisdrug responseprognosis

Identifiers

PMID28454281
PMCPMC5403394

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.