Evidence map›Paper›PMID 28101207›Full record

ArticleOncology letters2016

Structure-function analysis of DNA helicase HELQ: A new diagnostic marker in ovarian cancer.

Ya-Ping Li, Jun-Juan Yang, Hui Xu, En-Yu Guo, Yan Yu

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Helicase HELQ: Molecular Characters Fit for DSB Repair Function.International journal of molecular sciences · 2024
    Review
  3. Review
  4. Article
  5. 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

5 authors at 3 institutions in 1 country.

Ya-Ping LiSchool of Public Health, Health Science Center of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China; Department of Obstetrics and Gynecology, Xi'an Central Hospital, Xi'an, Shaanxi 710003, P.R. China.
Jun-Juan YangDepartment of Obstetrics and Gynecology, Women & Infants Hospital of Zhengzhou, Zhengzhou, Henan 450053, P.R. China.
Hui XuDepartment of Obstetrics and Gynecology, Zhengzhou People's Hospital, Zhengzhou, Henan 450003, P.R. China.
En-Yu GuoDepartment of Equipment, Zhengzhou People's Hospital, Zhengzhou, Henan 450003, P.R. China.
Yan YuSchool of Public Health, Health Science Center of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China.
Xi'an Jiaotong University · CNZhengzhou People's Hospital · CNZhengzhou City Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been previously reported that a deficiency of the helicase, POLQ-like (HELQ) gene increases the risk of ovarian cancer. The present study aimed to explore the structure-function association of HELQ and discuss the effect of molecular structure on the occurrence of tumors. ExPASy tools were employed to analyze the physicochemical properties and secondary structure of the genes. PHYRE2 Protein Fold Recognition Server was used to construct the three-dimensional model and find the ligand-binding sites of HELQ. In addition, the potential functions corresponding to these structures were excavated by comparing and analyzing protein domains. The HELQ protein is located in the cytoplasm (56.5%) and nucleus (21.7%). HELQ has 4 conserved domains, consisting of DEXDc, HELICc, HHH_5 and PRK02362, which contain the adenosine triphosphate (ATP) binding site, nucleotide binding region and putative Mg

Indexed as

bioinformaticsDNA helicaseHELQovarian cancerstructure-function

Identifiers

PMID28101207
PMCPMC5228290
OpenAlexW2529744076

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.