Evidence map›Paper›PMID 32774501›Full record

ArticleOncology letters2020

STAT1 expression and HPV16 viral load predict cervical lesion progression.

Si Wu, Yingying Wu, Yiping Lu, Yuanyi Yue, Changwan Cui, Miao Yu, Shuang Wang, Miao Liu, Ying Zhao, Zhengrong Sun

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

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  12. BovineFrontiers in immunology · 2021
    Article
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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

10 authors at 1 institution in 1 country.

Si WuDepartment of Biobank, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
Yingying WuDepartment of Biobank, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
Yiping LuDepartment of Biobank, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
Yuanyi YueDepartment of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
Changwan CuiDepartment of Biobank, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
Miao YuDepartment of Biobank, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
Shuang WangDepartment of Biobank, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
Miao LiuDepartment of Biobank, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
Ying ZhaoMedical Examination Center, Shenyang Red Cross Hospital, Shenyang, Liaoning 110013, P.R. China.
Zhengrong SunDepartment of Biobank, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer is the fourth leading cause of cancer-associated mortality worldwide. However, its underlying molecular mechanisms are unclear. It is important to explore these mechanisms in order to identify novel diagnostic and prognostic biomarkers. The present study determined the association between STAT1 and human papillomavirus (HPV)16 in cervical lesions. STAT1 expression was detected by immunohistochemistry. Quantitative PCR was used to detect HPV16 viral load and STAT1 expression in cervical lesions. The potential associations among STAT1 expression, HPV16 viral load and the severity of cervical lesions in patients were analyzed using receiver operating characteristic (ROC) curves. The Cancer Genome Atlas database was used to analyze STAT1 expression and survival. High STAT1 expression was observed in 10.71 (3/28), 41.18 (14/34), 53.06 (26/49) and 90.00% (27/30) of normal tissue, low-grade squamous intraepithelial lesion (LSIL), high-grade squamous intraepithelial lesion (HSIL) and cervical squamous cell carcinoma samples, respectively. The HPV16 copy number gradually increased with the progression of cervical lesions, with the highest copy number observed in cervical cancer samples. In addition, STAT1 expression was positively correlated with HPV16 viral load. Furthermore, ROC curve analysis demonstrated that the combination of STAT1 expression and HPV16 viral load was able to differentiate between LSIL/HSIL and cervical cancer samples. Bioinformatics analysis revealed that STAT1 expression was associated with improved survival in cervical cancer. Additionally, STAT1 expression was positively associated with the progression of cervical lesions, and HPV16 viral load may affect STAT1 expression. Overall, these findings indicate that STAT1 may be an indicator of the status of cervical lesions.

Indexed as

bioinformaticscervical lesion/cervical cancerhuman papillomavirus strain 16STAT1viral load

Identifiers

PMID32774501
PMCPMC7405543
OpenAlexW3042493843

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.