Evidence map›Paper›PMID 32782531›Full record

ArticleOncology letters2020

Prognostic and predictive value of monocarboxylate transporter 4 in patients with breast cancer.

Sheng Xiao, Hongjia Zhu, Yujun Shi, Zhenru Wu, Hegang Wu, Mingjun Xie

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. 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
0.6field-weighted citation impact, top 39% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Exploring monocarboxylate transporter inhibition for cancer treatment.Exploration of targeted anti-tumor therapy · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

6 authors at 3 institutions in 1 country.

Sheng XiaoSchool of Clinical Medicine, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Hongjia ZhuSchool of Clinical Medicine, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Yujun ShiLaboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHFPC, West China Hospital, Chengdu, Sichuan 610000, P.R. China.
Zhenru WuLaboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHFPC, West China Hospital, Chengdu, Sichuan 610000, P.R. China.
Hegang WuDepartment of Pathology, The First People's Hospital of Yibin, Yibin, Sichuan 644000, P.R. China.
Mingjun XieSchool of Clinical Medicine, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Southwest Medical University · CNSichuan University · CNSecond People’s Hospital of Yibin · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Warburg effect explains the large amount of lactic acid that tumour cells produce to establish and maintain the acidic characteristics of the tumour microenvironment, which contributes to the migration, invasion and angiogenesis of tumour cells. Monocarboxylate transporter 4 (MCT-4) is a key marker of tumour glycolysis and lactic acid production; however, the role of MCT-4 in breast cancer remains unclear. In the present study, immunohistochemistry (IHC) was used to detect the expression levels of MCT-4 in tissue microarrays of 145 patients diagnosed with invasive ductal breast cancer. The IHC score was used to assess the intensity of staining and the proportion of positive cells. Western blotting and reverse transcription-quantitative PCR were also performed to detect the expression levels of MCT-4 in 30 pairs of breast cancer tissues and adjacent normal tissues.

Indexed as

breast neoplasmscell viabilitymonocarboxylate transporter 4prognosisWarburg effect

Identifiers

PMID32782531
PMCPMC7400967
OpenAlexW3038056678

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.