Evidence map›Paper›PMID 24554414›Full record

ReviewTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Epigenetics and cervical cancer: from pathogenesis to therapy.

Jinchuan Fang, Hai Zhang, Sufang Jin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 15% 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

100 citing papers in PubMed, 2 syntheses or guidelines pooled it, 237 citations in OpenAlex.

  1. Association between Silva pattern-based classification and endocervical adenocarcinoma: a systematic review and meta-analysis.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2024
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40 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Jinchuan FangDepartment of Gynaecolgy and Obstetrics, Women and Children Health Institute, Futian District, Shenzhen, 518000, China.
Hai Zhang
Sufang Jin
Shenzhen Maternity and Child Healthcare Hospital · CNShenzhen Pingle Orthopedic Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although human papillomavirus (HPV) infection has been found in most of the cervical cancer cases, additional genetic and epigenetic changes are required for disease progression. Previously, it was thought that only genetic mutation plays a key role in cervical cancer development. But recent advances in the biology of cervical cancer revealed that epigenetic alteration is common in cervical carcinogenesis and metastasis. Epigenetic alteration due to aberrant DNA methylation and histone modification has been extensively studied in cervical cancer. Recent research strategies keep insight into noncoding RNAs, especially miRNA and lncRNA. At the same time, interest has been grown to study the utility of these changes as biomarkers to determine disease progression as well as use them as the therapeutic targets. This study has been aimed to review the recent progress of epigenetic study for cervical cancer research including role of these epigenetic changes in disease progression, their prognostic values, and their use in targeted therapy.

Indexed as

Epigenesis, GeneticDNA MethylationFemaleHumansRNA, UntranslatedUterine Cervical NeoplasmsRNA, Untranslated

Identifiers

PMID24554414
OpenAlexW2055076120

What OpenQuestion holds

Textmetadata
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.