Evidence map›Paper›PMID 36238849›Full record

ArticleOncology letters2022

Cyclin genes as potential novel prognostic biomarkers and therapeutic targets in breast cancer.

Nian-Qiu Liu, Wei-Han Cao, Xing Wang, Junyao Chen, Jianyun Nie

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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  5. miRNA-503 inhibition exerts anticancer effects and reduces tumor growth in mesothelioma.Journal of experimental & clinical cancer research : CR · 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

5 authors at 2 institutions in 1 country.

Nian-Qiu LiuDepartment of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, Yunnan 650000, P.R. China.
Wei-Han CaoDepartment of Ultrasound, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650000, P.R. China.
Xing WangDepartment of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, Yunnan 650000, P.R. China.
Junyao ChenDepartment of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, Yunnan 650000, P.R. China.
Jianyun NieDepartment of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, Yunnan 650000, P.R. China.
Kunming Medical University · CNFirst Affiliated Hospital of Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell cycle progression and cell proliferation are tightly controlled processes physiologically; however, in cancerous cells, uncontrolled cell proliferation may be attributed to abnormal expression of the cyclin genes. Therefore, analysis of the expression of the cyclin genes may result in the discovery of biomarkers that can be used to predict a prognosis and help to evaluate the therapeutic efficacy more accurately in several types of cancer, including breast cancer. In this study, 15 subtypes of the cyclin genes in breast cancer from public databases were selected using bioinformatics analysis, the correlation between their transcriptional expression levels and survival rates were analyzed, and the results were further confirmed using reverse transcription-quantitative PCR

Indexed as

bioinformaticsbiomarkerbreast cancercyclingene target

Identifiers

PMID36238849
PMCPMC9494629
OpenAlexW4294579771

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.