Evidence map›Paper›PMID 33723390›Full record

ArticleBritish journal of cancer2021

A 10-gene prognostic signature points to LIMCH1 and HLA-DQB1 as important players in aggressive cervical cancer disease.

Mari K Halle, Marte Sødal, David Forsse, Hilde Engerud, Kathrine Woie, Njål G Lura, Kari S Wagner-Larsen, Jone Trovik, Bjørn I Bertelsen, Ingfrid S Haldorsen and 2 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-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

21 citing papers in PubMed, 26 citations in OpenAlex.

  1. International journal of molecular sciences · 2026
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  9. Expression patterns of mismatch repair proteins in cervical cancer uncover independent prognostic value of MSH-2.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2024
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  14. The role ofLife science alliance · 2023
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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

12 authors at 2 institutions in 2 countries.

Mari K HalleDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway. mari.halle@uib.no.ORCID http://orcid.org/0000-0002-2660-8271
Marte SødalDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.
David ForsseDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.
Hilde EngerudDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.
Kathrine WoieDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.
Njål G LuraDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Kari S Wagner-LarsenDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Jone TrovikDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.
Bjørn I BertelsenDepartment of Pathology, Haukeland University Hospital, Bergen, Norway.
Ingfrid S HaldorsenDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Akinyemi I OjesinaDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.
Camilla KrakstadDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.
Haukeland University Hospital · NOUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvanced cervical cancer carries a particularly poor prognosis, and few treatment options exist. Identification of effective molecular markers is vital to improve the individualisation of treatment. We investigated transcriptional data from cervical carcinomas related to patient survival and recurrence to identify potential molecular drivers for aggressive disease.

methodsPrimary tumour RNA-sequencing profiles from 20 patients with recurrence and 53 patients with cured disease were compared. Protein levels and prognostic impact for selected markers were identified by immunohistochemistry in a population-based patient cohort.

resultsComparison of tumours relative to recurrence status revealed 121 differentially expressed genes. From this gene set, a 10-gene signature with high prognostic significance (p = 0.001) was identified and validated in an independent patient cohort (p = 0.004). Protein levels of two signature genes, HLA-DQB1 (n = 389) and LIMCH1 (LIM and calponin homology domain 1) (n = 410), were independent predictors of survival (hazard ratio 2.50, p = 0.007 for HLA-DQB1 and 3.19, p = 0.007 for LIMCH1) when adjusting for established prognostic markers. HLA-DQB1 protein expression associated with programmed death ligand 1 positivity (p < 0.001). In gene set enrichment analyses, HLA-DQB1high tumours associated with immune activation and response to interferon-γ (IFN-γ).

conclusionsThis study revealed a 10-gene signature with high prognostic power in cervical cancer. HLA-DQB1 and LIMCH1 are potential biomarkers guiding cervical cancer treatment.

Indexed as

TranscriptomeAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Squamous CellCohort StudiesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHLA-DQ beta-ChainsHumansLIM Domain ProteinsMiddle AgedNeoplasm InvasivenessBiomarkers, TumorHLA-DQB1 antigenHLA-DQ beta-ChainsLIMCH1 protein, humanLIM Domain Proteins

Identifiers

PMID33723390
PMCPMC8110544
OpenAlexW3136640359

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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.