Evidence map›Paper›PMID 39596218›Full record

ArticleInternational journal of molecular sciences2024

Radial Data Visualization-Based Step-by-Step Eliminative Algorithm to Predict Colorectal Cancer Patients' Response to FOLFOX Therapy.

Jakub Kryczka, Rafał Adam Bachorz, Jolanta Kryczka, Joanna Boncela

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

4 authors.

Jakub KryczkaLaboratory of Cell Signaling, Institute of Medical Biology, Polish Academy of Sciences, 106 Lodowa St., 93-232 Lodz, Poland.ORCID 0000-0002-5719-4139
Rafał Adam BachorzLaboratory of Molecular Modeling, Institute of Medical Biology, Polish Academy of Sciences, 106 Lodowa St., 93-232 Lodz, Poland.ORCID 0000-0002-6940-9432
Jolanta KryczkaDepartment of Biomedicine and Genetics, Medical University of Lodz, 92-213 Lodz, Poland.ORCID 0000-0002-7342-7342
Joanna BoncelaLaboratory of Cell Signaling, Institute of Medical Biology, Polish Academy of Sciences, 106 Lodowa St., 93-232 Lodz, Poland.ORCID 0000-0001-8419-7012

Funding

Institute of Medical Biology of the Polish Academy of Sciences The statutory fund of the Institute of Medical Biology of the Polish Academy of Sciences
6 · The paper itself

Abstract

Application of the FOLFOX scheme to colorectal cancer (CRC) patients often results in the development of chemo-resistance, leading to therapy failure. This study aimed to develop a functional and easy-to-use algorithm to predict patients' response to FOLFOX treatment. Transcriptomic data of CRC patient's samples treated with FOLFOX were downloaded from the Gene Expression Omnibus database (GSE83129, GSE28702, GSE69657, GSE19860 and GSE41568). Comparing the expression of top up- and downregulated genes in FOLFOX responder and non-responder patients' groups, we selected 30 potential markers that were used to create a step-by-step eliminative procedure based on modified radial data visualization, which depicts the interplay between the expression level of chosen attributes (genes) to locate data points in low-dimensional space. Our analysis proved that FOLFOX-resistant CRC samples are predominantly characterized by upregulated expression levels of

Indexed as

AlgorithmsAntineoplastic Combined Chemotherapy ProtocolsColorectal NeoplasmsFluorouracilGene Expression Regulation, NeoplasticLeucovorinOrganoplatinum CompoundsBiomarkers, TumorData VisualizationDrug Resistance, NeoplasmGene Expression ProfilingHumansTranscriptomeBiomarkers, TumorFluorouracilLeucovorinOrganoplatinum CompoundschemoresistanceCRCFOLFOXoxaliplatinpredictive algorithmradial data visualization

Identifiers

PMID39596218
PMCPMC11595261

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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.