Evidence map›Paper›PMID 28032723›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2016

Elevated Expression of Ox2R in Cervical Cancers and Placentas of Uyghur Women in Xinjiang, China

Reyisha Taximaimaiti, Xiekelai Abuliken, Muzhapaer Maihemuti, Dilinuer Abudujilile, Haimiti Abudulimu

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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 1 institution in 1 country.

Reyisha TaximaimaitiSeven-year Clinical Medicine of Class 2, year 2011,Xinjiang Medical University, Urumqi, PR China. Email:961058570@qq.com
Xiekelai Abuliken
Muzhapaer Maihemuti
Dilinuer Abudujilile
Haimiti Abudulimu
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective:Cervical cancer is one of the major causes of mortality of Uyghur women in Xinjiang, China. Although increased expression of orexin receptor (OxR), known to be strongly expressed in human placenta, has a proven relation to some cancers , there have been few studies of cervical cancer. Thus, we explored this question by evaluating the expression of orexin receptor as a biomarker for screening early stage of cervical cancer in Uyghur women with highest occurrence rate of cervical cancer in China. Study Design: We used polymerase chain reaction (PCR) and immunohistochemical staining to determine the expression of both Ox1R and Ox2R in cervical cancer and cervicitis biopsies collected from Uyghur women infected with human papilloma virus (HPV)16. The expression rate was compared between cervical cancers of low, intermediate and high differentiation and cervicitis. Results:Although there was no significant difference in the expression rate of Ox1R between groups, Ox2R was significantly overexpressed in cervical cancer patients when compared to the cervicitis group. Ox1R was negative in normal human placenta while Ox2R was positive. Conclusions: While expression of Ox1R had no correlation with invasion or metastatic potential, Ox2R demonstrated elevation in cervical cancer with heterogeneity in groups with different metastatic potential, in the human placenta as well, implying that it might serve as an indicator of invasive capacity along with other indices.

Indexed as

cervical cancerHPV16human placentaOx1ROx2R

Identifiers

PMID28032723
PMCPMC5454703
OpenAlexW2566720336

What OpenQuestion holds

Textmetadata
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Registered trials

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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.