Evidence map›Paper›PMID 39369238›Full record

ArticleBMC cancer2024

Comparative transcriptome of normal and cancer-associated fibroblasts.

Apoorva Abikar, Mohammad Mehaboob Subhani Mustafa, Radhika Rajiv Athalye, Namratha Nadig, Ninad Tamboli, Vinod Babu, Ramaiah Keshavamurthy, Prathibha Ranganathan

Abstract readComparative Study
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Molecular Mechanisms and Immune Regulation in Prostate Cancer: A Review.International journal of molecular sciences · 2026
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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.

Apoorva AbikarCentre for Human Genetics, Bengaluru, India.
Mohammad Mehaboob Subhani MustafaCentre for Human Genetics, Bengaluru, India.
Radhika Rajiv AthalyeCentre for Human Genetics, Bengaluru, India.
Namratha NadigCentre for Human Genetics, Bengaluru, India.
Ninad TamboliInstitute of Nephro-Urology, Bengaluru, India.
Vinod BabuInstitute of Nephro-Urology, Bengaluru, India.
Ramaiah KeshavamurthyInstitute of Nephro-Urology, Bengaluru, India.
Prathibha RanganathanCentre for Human Genetics, Bengaluru, India. pranganathan@chg.res.in.

Funding

Indian Council for Medical Research Government of India 2019-0937
6 · The paper itself

Abstract

backgroundThe characteristics of a tumor are largely determined by its interaction with the surrounding micro-environment (TME). TME consists of both cellular and non-cellular components. Cancer-associated fibroblasts (CAFs) are a major component of the TME. They are a source of many secreted factors that influence the survival and progression of tumors as well as their response to drugs. Identification of markers either overexpressed in CAFs or unique to CAFs would pave the way for novel therapeutic strategies that in combination with conventional chemotherapy are likely to have better patient outcome.

methodsFibroblasts have been derived from Benign Prostatic Hyperplasia (BPH) and prostate cancer. RNA from these has been used to perform a transcriptome analysis in order to get a comparative profile of normal and cancer-associated fibroblasts.

resultsThe study has identified 818 differentially expressed mRNAs and 17 lincRNAs between normal and cancer-associated fibroblasts. Also, 15 potential lincRNA-miRNA-mRNA combinations have been identified which may be potential biomarkers.

conclusionsThis study identified differentially expressed markers between normal and cancer-associated fibroblasts that would help in targeted therapy against CAFs/derived factors, in combination with conventional therapy. However, this would in future need more experimental validation.

Indexed as

Cancer-Associated FibroblastsGene Expression ProfilingProstatic NeoplasmsTranscriptomeBiomarkers, TumorFibroblastsGene Expression Regulation, NeoplasticHumansMaleMicroRNAsProstatic HyperplasiaRNA, Long NoncodingRNA, MessengerTumor MicroenvironmentBiomarkers, TumorMicroRNAsRNA, Long NoncodingRNA, MessengerCancer-associated fibroblastsChemoresistanceLINCRNANon-coding RNAProstate cancerTumor microenvironment

Identifiers

PMID39369238
PMCPMC11456241

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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.