Evidence map›Paper›PMID 33828127›Full record

ArticleScientific reports2021

Prognostic and therapeutic implications of extracellular matrix associated gene signature in renal clear cell carcinoma.

Pankaj Ahluwalia, Meenakshi Ahluwalia, Ashis K Mondal, Nikhil Sahajpal, Vamsi Kota, Mumtaz V Rojiani, Amyn M Rojiani, Ravindra Kolhe

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 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 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

8 authors at 1 institution in 1 country.

Pankaj AhluwaliaDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Meenakshi AhluwaliaDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Ashis K MondalDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Nikhil SahajpalDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Vamsi KotaDepartment of Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Mumtaz V RojianiDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Amyn M RojianiDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Ravindra KolheDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, USA. rkolhe@augusta.edu.
Augusta University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex interactions in tumor microenvironment between ECM (extra-cellular matrix) and cancer cell plays a central role in the generation of tumor supportive microenvironment. In this study, the expression of ECM-related genes was explored for prognostic and immunological implication in clear cell renal clear cell carcinoma (ccRCC). Out of 964 ECM genes, higher expression (z-score > 2) of 35 genes showed significant association with overall survival (OS), progression-free survival (PFS) and disease-specific survival (DSS). On comparison to normal tissue, 12 genes (NUDT1, SIGLEC1, LRP1, LOXL2, SERPINE1, PLOD3, ZP3, RARRES2, TGM2, COL3A1, ANXA4, and POSTN) showed elevated expression in kidney tumor (n = 523) compared to normal (n = 100). Further, Cox proportional hazard model was utilized to develop 12 genes ECM signature that showed significant association with overall survival in TCGA dataset (HR = 2.45; 95% CI [1.78-3.38]; p < 0.01). This gene signature was further validated in 3 independent datasets from GEO database. Kaplan-Meier log-rank test significantly associated patients with elevated expression of this gene signature with a higher risk of mortality. Further, differential gene expression analysis using DESeq2 and principal component analysis (PCA) identified genes with the highest fold change forming distinct clusters between ECM-rich high-risk and ECM-poor low-risk patients. Geneset enrichment analysis (GSEA) identified significant perturbations in homeostatic kidney functions in the high-risk group. Further, higher infiltration of immunosuppressive T-reg and M2 macrophages was observed in high-risk group patients. The present study has identified a prognostic signature with associated tumor-promoting immune niche with clinical utility in ccRCC. Further exploration of ECM dynamics and validation of this gene signature can assist in design and application of novel therapeutic approaches.

Indexed as

AgedCarcinoma, Renal CellExtracellular MatrixFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimateKidney NeoplasmsMaleMiddle AgedPrognosisProgression-Free SurvivalProportional Hazards ModelsTumor Microenvironment

Identifiers

PMID33828127
PMCPMC8026590
OpenAlexW3150028923

What OpenQuestion holds

Textmetadata
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.