Evidence map›Paper›PMID 30692061›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2019

[LC-MS/MS-based screening of new protein biomarkers for cervical precancerous lesions and cervical cancer].

Feng Qiu, Fu Chen, Dongdong Liu, Jianhua Xu, Jingling He, Jujiao Xiao, Longbin Cao, Xianzhang Huang

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2019. 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
1.0field-weighted citation impact, top 25% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
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

8 authors at 1 institution in 1 country.

Feng QiuGeneral Practice Center, Nanhai Hospital, Southern Medical University, Foshan 528244, China.
Fu ChenDepartment of Laboratory Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China.
Dongdong LiuDepartment of Laboratory Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China.
Jianhua XuDepartment of Laboratory Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China.
Jingling HeDepartment of Gynecology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China.
Jujiao XiaoGeneral Practice Center, Nanhai Hospital, Southern Medical University, Foshan 528244, China.
Longbin CaoDepartment of Laboratory Medicine, Nanhai Hospital, Southern Medical University, Foshan 528244, China.
Xianzhang HuangDepartment of Laboratory Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China.
Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo screen potential plasma protein biomarkers for the progression of cervical precancerous lesions into cervical carcinoma and analyze their functions.

methodsPlasma samples obtained from healthy control subjects, patients with low-grade squamous intraepithelial lesion (LSIL), high-grade squamous intraepithelial lesion (HSIL), cervical cancer (CC), and patients with CC after treatment were enriched for low-abundance proteins for liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. The MS data of the samples were analyzed using Discoverer 2.2 software, and the differential proteins (peptide coverage ≥20%, unique peptides≥2) were screened by comparison of LSIL, HSIL and CC groups against the control group followed by verification using target proteomics technology. Protein function enrichment and coexpression analyses were carried out to explore the role of the differentially expressed proteins as potential biomarkers and their pathological mechanisms.

resultsCompared with the control group, both LSIL group and HSIL group showed 9 differential proteins; 5 differentially expressed proteins were identified in CC group. The proteins ORM2 and HPR showed obvious differential expressions in LSIL and HSIL groups compared with the control group, and could serve as potential biomarkers for the progression of cervical carcinoma. The expression of F9 increased consistently with the lesion progression from LSIL to HSIL and CC, suggesting its value as a potential biomarker for the progression of cervical cancer. CFI and AFM protein levels were obviously decreased in treated patients with CC compared with the patients before treatment, indicating their predictive value for the therapeutic efficacy. Protein function enrichment analysis showed that all these differentially expressed proteins were associated with the complement system and the coagulation cascades pathway.

conclusionsWe identified 5 new protein biomarkers (F9, CFI, AFM, HPR, and ORM2) for cervical precancerous lesions and for prognostic evaluation of CC, and combined detection of these biomarkers may help in the evaluation of the development and progression of CC and also in improving the diagnostic sensitivity and specificity of cervical lesions.

Indexed as

Chromatography, LiquidTandem Mass SpectrometryAntigens, NeoplasmBiomarkers, TumorCarrier ProteinsCase-Control StudiesComplement Factor IEarly Detection of CancerFemaleGlycoproteinsHaptoglobinsHumansNeoplasm ProteinsOrosomucoidPrecancerous ConditionsSerum Albumin, HumanAFM protein, humanAntigens, NeoplasmBiomarkers, TumorCarrier ProteinsCFI protein, humanComplement Factor IGlycoproteinsHaptoglobinsHPR protein, humanNeoplasm ProteinsORM2 protein, humanOrosomucoidSerum Albumin, Humancervical carcinomaliquid chromatographytandem mass spectrometryproteomicsserum biomarkers

Identifiers

PMID30692061
PMCPMC6765587
OpenAlexW2917078980

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.