Evidence map›Paper›PMID 35150347›Full record

ArticleMedical oncology (Northwood, London, England)2022

In silico identification of the specific pathways in each stage of colorectal cancer and the association of their top genes with drug resistance and sensitivity.

Reza Hashemi, Maryam Peymani, Kamran Ghaedi, Hana Saffar

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 3 institutions in 1 country.

Reza HashemiDepartment of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
Maryam PeymaniDepartment of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran. m.peymani@iaushk.ac.ir.ORCID http://orcid.org/0000-0001-5075-5661
Kamran GhaediDepartment of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
Hana SaffarDepartment of Biology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
Islamic Azad University of Shahrekord · IRImam Khomeini Hospital · IRIsfahan University of Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigating the specific pathways and their relation with survival, mutation, sensitivity, and resistance to various drugs in different stages of colorectal cancer (CRC) could be effective in cancer treatment. In this study, identifying the specific pathways in each stage of CRC compared to other stages was considered via meta-analytic methodology. The Cancer Genome Atlas (TCGA) data with gene set enrichment analysis (GSEA) software, and CRC RNA-Seq data were used to enrich and determine specific pathways as well as to evaluate the expression level of TOP RANK genes. In addition, The Cancer Cell Line Encyclopedia (CCLE) data were used to correlate candidate genes with drug resistance. Finally, using Gene Expression Omnibus (GEO) data, drugs that could affect the expression level of these genes were identified. Three specific molecular pathways, including oxidative phosphorylation (OXPHOS), regulation of transporter activity (RTA), and negative regulation of transmembrane receptor protein serine threonine kinase (NRSTK) have been identified as hub pathways for stages II, III, and IV, respectively (P < 0.01). The expression level of TOP RANK genes in each stage increased on average twice compared to other stages (P < 0.01), and CCNB1, DKK1, NOG genes were associated with survival in stages II and IV, respectively (P < 0.01). The expression of some selected genes had a correlation with drug resistance and sensitivity (P < 0.05). GEO data revealed that gamma-tocotrienol (g-T3), NSC319726, and Casiopeina Cas-II-gly may reduce the expression of, NDUFAF1, CCNB1, DKK1 genes, respectively (P < 0.01). Specific pathways and TOP RANK genes could lead to cancer progression and malignancy, resistance to chemotherapy drugs, poor survival in patients, and metastasis. Therefore, identification and targeting these pathways at each stage could be crucial in inhibiting progression at different stages of CRC.

Indexed as

Genes, NeoplasmBiomarkers, TumorColorectal NeoplasmsComputer SimulationDrug Resistance, NeoplasmGene Expression ProfilingGene Expression Regulation, NeoplasticHumansBiomarkers, TumorColorectal cancerDrug resistanceMutationRNA-SeqStageSurvival

Identifiers

PMID35150347
OpenAlexW4211149376

What OpenQuestion holds

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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.