Evidence map›Paper›PMID 35274048›Full record

ArticleOpen medicine (Warsaw, Poland)2022

Radiation increases COL1A1, COL3A1, and COL1A2 expression in breast cancer.

Guorong Yao, Kaiyue Zhao, Kaikai Bao, Jing Li

Open access · goldAbstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

  1. Identification ofInternational 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

4 authors at 4 institutions in 1 country.

Guorong YaoDepartment of Radiation Oncology, 1st Affiliated Hospital of Zhejiang University, 79# Qingchun Road, 310009 Hangzhou, China.ORCID https://orcid.org/0000-0001-6856-1910
Kaiyue ZhaoDepartment of Radiology, The Affiliated Hospital of Hangzhou Normal University, 310015 Hangzhou, China.
Kaikai BaoDepartment of Radiology, 1st People's Hospital of Yuhang district, 310000 Hangzhou, China.
Jing LiDepartment of Nuclear Medicine, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009 Hangzhou, China.
Affiliated Hospital of Hangzhou Normal University · CNFirst People's Hospital of Yuhang District · CNSecond Affiliated Hospital of Zhejiang University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Radiotherapy-associated secondary cancer is an important issue for the treatment of breast cancer (BCa). This study aimed to investigate the molecular mechanism and genetic risk factors for radiation-associated secondary diseases in BCa. Methods: The differentially expressed genes (DEGs) between preradiation and postradiation BCa samples in the GSE65505 dataset were obtained. The pathways related to the radiation-associated DEGs in the protein-protein interaction (PPI) network modules were identified. miRNAs targeted to the key genes in the PPI network were identified, and their association with BCa prognosis was analyzed. Results: A total of 136 radiation-associated DEGs preradiation and postradiation BCa samples were screened out. The PPI network consisted of a significant module that consisted of 21 upregulated DEGs that were associated with "hsa04512: ECM-receptor interaction," "hsa04151: PI3K-Akt signaling pathway," and "hsa04115: p53 signaling pathway." Sixteen DEGs, including three collagen genes collagen type I alpha 1 chain ( Conclusions: The upregulation of

Indexed as

breast cancerradiotherapysecondary cancerType I collagenType III collagen

Identifiers

PMID35274048
PMCPMC8854907
OpenAlexW4213173630

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.