Evidence map›Paper›PMID 33602229›Full record

ArticleCancer cell international2021

Discovery and validation of FBLN1 and ANT3 as potential biomarkers for early detection of cervical cancer.

Yi Hao, Ming Ye, Xiaona Chen, Hongli Zhao, Ayshamgul Hasim, Xia Guo

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Yi Hao *Department of Ultrasound, Shenzhen University Pinghu Hospital, Shenzhen University, Shenzhen, PR China.
Ming Ye *Department of Pathology, Affiliated Cancer Hospital, Xinjiang Medical University, Urumqi, PR China.
Xiaona ChenCenter for Clinical Research and Innovation (CCRI), Shenzhen Hospital, Southern Medical University, Shenzhen, PR China.
Hongli ZhaoCenter for Clinical Research and Innovation (CCRI), Shenzhen Hospital, Southern Medical University, Shenzhen, PR China.
Ayshamgul HasimDepartment of Pathology, Basic College, Xinjiang Medical University, Urumqi, PR China. axiangu75@126.com.
Xia GuoCenter for Clinical Research and Innovation (CCRI), Shenzhen Hospital, Southern Medical University, Shenzhen, PR China. guoxia0504_sz@163.com.ORCID http://orcid.org/0000-0002-6022-9128
Southern Medical University Shenzhen Hospital · CNXinjiang Medical University · CNShenzhen University · CN

Funding

Natural Science Foundation of China 81260380Natural Science Foundation of China 81972423Sanming Medical Project SM201702Shenzhen Key Laboratory of Viral Oncology ZDSYS201707311140430the general programmes of the Shenzhen Science and Technology Innovation Committee JCYJ20190814111801681the project of free exploration from Shenzhen Science and Technology Innovation Committee JCYJ20170307144103633
6 · The paper itself

Abstract

backgroundTo validate markers for cervical carcinoma (CC) and precancerous lesions related with HPV infections.

methodsThree different cervical cancer cell lines C-33A, SiHa and Caski were used for secretome profiling by label-free quantitative proteomics. Cervical exfoliated cells and matching serum samples were collected from 284 patients with normal control (n = 75, 26.41 %), precancerous lesions (n = 88, 30.99 %) and early stage cervical squamous carcinoma (n = 121, 42.61 %). HPV subtyping and quantification was performed by PCR and hybridization. 20 candidate proteins identified in previous screening studies (tissue, plasma, cells) were quantified by ELISA. Finally, highly quantitative parallel reaction monitoring mass spectrometry was used to assess the specificities and sensitivities of candidate serum markers.

resultsWhile CC was found to be associated with high-risk HPV subtypes, serum antibodies for high risk HPV were not significantly related to the progression of cervical cancer. Significant differences between patient groups were detected for the four proteins CLU, APOA4, APOE and MLH3, but none would allow clinical application due to insufficient sensitivity and specificity and large variability. Subsequent proteomic secretome analysis of cervical cancer cell lines identified a set of 729 common proteins. Cross referencing this dataset with ELISA measurements revealed six candidate proteins of which two, FBLN1 and ANT3, showed co-occurrence with HPV infection (75.7 % and 85 %, respectively) and had promising diagnostic ability in terms of sensitivity and specificity. After the loss of E6/E7 by using CRISPR/Cas9 gene editing, the content of ANT3 and FBLN1 in KoE6/E7 SiHa were downregulated, which indicated the expression of ANT3 and FBLN1 in cervical cancer may be affected by HPV infection.

conclusionsFBLN1 and ANT3 might be potential tumor- and HPV-associated serum markers.

Indexed as

ANT3Cervical carcinomaFBLN1HPV infectionSerum tumor markers

Identifiers

PMID33602229
PMCPMC7893763
OpenAlexW3132190256

What OpenQuestion holds

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LicenceCC BY
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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.