Evidence map›Paper›PMID 33723286›Full record

ArticleScientific reports2021

Pancancer survival analysis of cancer hallmark genes.

Ádám Nagy, Gyöngyi Munkácsy, Balázs Győrffy

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 618 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
618citing papers in PubMed, 2 pooled it
159.0field-weighted citation impact, top 1% 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

618 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,128 citations in OpenAlex.

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558 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Ádám NagyDepartment of Bioinformatics, Semmelweis University, Tüzoltó u. 7-9, 1094, Budapest, Hungary.
Gyöngyi MunkácsyDepartment of Bioinformatics, Semmelweis University, Tüzoltó u. 7-9, 1094, Budapest, Hungary.
Balázs GyőrffyDepartment of Bioinformatics, Semmelweis University, Tüzoltó u. 7-9, 1094, Budapest, Hungary. gyorffy.balazs@med.semmelweis-univ.hu.
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer hallmark genes are responsible for the most essential phenotypic characteristics of malignant transformation and progression. In this study, our aim was to estimate the prognostic effect of the established cancer hallmark genes in multiple distinct cancer types. RNA-seq HTSeq counts and survival data from 26 different tumor types were acquired from the TCGA repository. DESeq was used for normalization. Correlations between gene expression and survival were computed using the Cox proportional hazards regression and by plotting Kaplan-Meier survival plots. The false discovery rate was calculated to correct for multiple hypothesis testing. Signatures based on genes involved in genome instability and invasion reached significance in most individual cancer types. Thyroid and glioblastoma were independent of hallmark genes (61 and 54 genes significant, respectively), while renal clear cell cancer and low grade gliomas harbored the most prognostic changes (403 and 419 genes significant, respectively). The eight genes with the highest significance included BRCA1 (genome instability, HR 4.26, p < 1E-16), RUNX1 (sustaining proliferative signaling, HR 2.96, p = 3.1E-10) and SERPINE1 (inducing angiogenesis, HR 3.36, p = 1.5E-12) in low grade glioma, CDK1 (cell death resistance, HR = 5.67, p = 2.1E-10) in kidney papillary carcinoma, E2F1 (tumor suppressor, HR 0.38, p = 2.4E-05) and EREG (enabling replicative immortality, HR 3.23, p = 2.1E-07) in cervical cancer, FBP1 (deregulation of cellular energetics, HR 0.45, p = 2.8E-07) in kidney renal clear cell carcinoma and MYC (invasion and metastasis, HR 1.81, p = 5.8E-05) in bladder cancer. We observed unexpected heterogeneity and tissue specificity when correlating cancer hallmark genes and survival. These results will help to prioritize future targeted therapy development in different types of solid tumors.

Indexed as

Biomarkers, TumorDatabases, Nucleic AcidNeoplasmsRNA-SeqDisease-Free SurvivalHumansKaplan-Meier EstimateSurvival RateBiomarkers, Tumor

Identifiers

PMID33723286
PMCPMC7961001
OpenAlexW3139511935

What OpenQuestion holds

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LicenceCC BY
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.