Evidence map›Paper›PMID 36675023›Full record

ArticleInternational journal of molecular sciences2023

New Transcriptomic Biomarkers of 5-Fluorouracil Resistance.

János Tibor Fekete, Balázs Győrffy

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. 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
2.3field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Journal of Cancer · 2025
    Article
  4. Article
  5. Article
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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

2 authors at 2 institutions in 1 country.

János Tibor FeketeResearch Center for Natural Sciences, Cancer Biomarker Research Group, Institute of Enzymology, Magyar Tudósok Krt. 2, H-1117 Budapest, Hungary.ORCID 0000-0002-6672-6563
Balázs GyőrffyDepartment of Pediatrics, Semmelweis University, H-1094 Budapest, Hungary.
Institute of Molecular Life Sciences · HUSemmelweis University · HU

Funding

National Research, Development and Innovation Office 2020-1.1.6-JÖVŐ-2021-00013National Research, Development and Innovation Office RRF-2.3.1-21-2022-00015
6 · The paper itself

Abstract

The overall response rate to fluoropyrimidine monotherapy in colorectal cancer (CRC) is limited. Transcriptomic datasets of CRC patients treated with 5-fluorouracil (5FU) could assist in the identification of clinically useful biomarkers. In this research, we aimed to analyze transcriptomic cohorts of 5FU-treated cell lines to uncover new predictive biomarker candidates and to validate the strongest hits in 5FU-treated human colorectal cancer samples with available clinical response data. We utilized an in vitro dataset of cancer cell lines treated with 5FU and used the reported area under the dose-response curve values to determine the therapeutic response to 5FU treatment. Mann-Whitney and ROC analyses were performed to identify significant genes. The strongest genes were combined into a single signature using a random forest classifier. The compound 5-fluorouracil was tested in 592 cell lines (294 nonresponders and 298 responders). The validation cohort consisted of 157 patient samples with 5FU monotherapy from three datasets. The three strongest associations with treatment outcome were observed in

Indexed as

Colorectal NeoplasmsDrug Resistance, NeoplasmFluorouracilAmino Acid Transport Systems, NeutralBiomarkersHumansMembrane ProteinsMembrane Transport ProteinsNerve Tissue ProteinsTranscriptomeAmino Acid Transport Systems, NeutralBiomarkersFluorouracilLAPTM4A protein, humanMembrane ProteinsMembrane Transport ProteinsNerve Tissue ProteinsSLC38A6 protein, humangene expressionpharmacologyproliferationreceiver operator characteristicsRNAseq

Identifiers

PMID36675023
PMCPMC9867124
OpenAlexW4317658864

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.