Evidence map›Paper›PMID 32565804›Full record

ArticleJournal of oncology2020

Effect of COL4A1 Expression on the Survival of Neoadjuvant Chemotherapy Breast Cancer Patients.

Shin-Mae Wang, Po-Ming Chen, Yu-Wen Sung, Wei-Chieh Huang, Hung-Sen Huang, Pei-Yi Chu

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025
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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

6 authors at 3 institutions in 1 country.

Shin-Mae WangDepartment of General Surgery, Show Chwan Memorial Hospital, Changhua 500, Taiwan.
Po-Ming ChenResearch Assistant Center, Show Chwan Memorial Hospital, Changhua 500, Taiwan.
Yu-Wen SungDepartment of Obstetrics and Gynecologics, China Medical University Hospital, Taichung City, Taiwan.
Wei-Chieh HuangChinese Medical Research Center, China Medical University, Taichung 404, Taiwan.
Hung-Sen HuangChinese Medical Research Center, China Medical University, Taichung 404, Taiwan.
Pei-Yi ChuSchool of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei 242, Taiwan.ORCID https://orcid.org/0000-0001-7336-2465
China Medical University · TWChang Bing Show Chwan Memorial Hospital · TWFu Jen Catholic University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimal therapy for each patient depends on their subtype, anatomic cancer stage, gene status, and preferences. Neoadjuvant chemotherapy-treated tumors have shown attenuated tumor growth, but the therapy cannot completely reduce tumor cell dissemination to blood stream and distant metastasis. Though it has been indicated that the protein of the collagen type IV alpha 1 (COL4A1) gene is induced by p53 to inhibit angiogenesis and tumorigenic activity in cancer cells, its prognostic significance in breast cancer (BC) patients has not yet been fully elucidated. We analysed 206 BC and fresh paired-match adjacent normal breast tissue from tissue microarrays (TMAs) and COL4A1-stained TMAs using immunohistochemistry. These were used to evaluate COL4A1 expression in BC and to analyse the relationship between this expression and clinicopathological factors and prognosis. The expression of the COL4A1 protein was significantly higher in normal adjacent tissue than in the tumor tissues of BC (

Identifiers

PMID32565804
PMCPMC7255048
OpenAlexW3024233690

What OpenQuestion holds

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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.