Evidence map›Paper›PMID 34233735›Full record

ArticleJournal of experimental & clinical cancer research : CR2021

Common and mutation specific phenotypes of KRAS and BRAF mutations in colorectal cancer cells revealed by integrative -omics analysis.

Snehangshu Kundu, Muhammad Akhtar Ali, Niklas Handin, Louis P Conway, Veronica Rendo, Per Artursson, Liqun He, Daniel Globisch, Tobias Sjöblom

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

23 citing papers in PubMed, 28 citations in OpenAlex.

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  18. An integrated model for predicting KRAS dependency.PLoS computational biology · 2023
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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

9 authors at 2 institutions in 2 countries.

Snehangshu Kundu *Science For Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, SE-751 85, Uppsala, Sweden. snehangshu.kundu@igp.uu.se.
Muhammad Akhtar Ali *Science For Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, SE-751 85, Uppsala, Sweden.
Niklas HandinDepartment of Pharmacy, Uppsala University, SE-751 23, Uppsala, Sweden.
Louis P ConwayDepartment of Chemistry - BMC, Uppsala University, SE-751 24, Uppsala, Sweden.
Veronica RendoScience For Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, SE-751 85, Uppsala, Sweden.
Per ArturssonDepartment of Pharmacy, Uppsala University, SE-751 23, Uppsala, Sweden.
Liqun HeScience For Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, SE-751 85, Uppsala, Sweden.
Daniel GlobischDepartment of Chemistry - BMC, Uppsala University, SE-751 24, Uppsala, Sweden.
Tobias SjöblomScience For Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, SE-751 85, Uppsala, Sweden. tobias.sjoblom@igp.uu.se.
Uppsala University · SEScience for Life Laboratory · SE

Funding

Cancerfonden CAN 2018/772Vetenskapsrådet 2016-04423
6 · The paper itself

Abstract

backgroundGenes in the Ras pathway have somatic mutations in at least 60 % of colorectal cancers. Despite activating the same pathway, the BRAF V600E mutation and the prevalent mutations in codon 12 and 13 of KRAS have all been linked to different clinical outcomes, but the molecular mechanisms behind these differences largely remain to be clarified.

methodsTo characterize the similarities and differences between common activating KRAS mutations and between KRAS and BRAF mutations, we used genome editing to engineer KRAS G12C/D/V and G13D mutations in colorectal cancer cells that had their mutant BRAF V600E allele removed and subjected them to transcriptome sequencing, global proteomics and metabolomics analyses.

resultsBy intersecting differentially expressed genes, proteins and metabolites, we uncovered (i) two-fold more regulated genes and proteins when comparing KRAS to BRAF mutant cells to those lacking Ras pathway mutation, (ii) five differentially expressed proteins in KRAS mutants compared to cells lacking Ras pathway mutation (IFI16, S100A10, CD44, GLRX and AHNAK2) and 6 (CRABP2, FLNA, NXN, LCP1, S100A10 and S100A2) compared to BRAF mutant cells, (iii) 19 proteins expressed differentially in a KRAS mutation specific manner versus BRAF V600E cells, (iv) regulation of the Integrin Linked Kinase pathway by KRAS but not BRAF mutation, (v) regulation of amino acid metabolism, particularly of the tyrosine, histidine, arginine and proline pathways, the urea cycle and purine metabolism by Ras pathway mutations, (vi) increased free carnitine in KRAS and BRAF mutant RKO cells.

conclusionsThis comprehensive integrative -omics analysis confirms known and adds novel genes, proteins and metabolic pathways regulated by mutant KRAS and BRAF signaling in colorectal cancer. The results from the new model systems presented here can inform future development of diagnostic and therapeutic approaches targeting tumors with KRAS and BRAF mutations.

Indexed as

MutationColorectal NeoplasmsHumansPhenotypeProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)BRAF protein, humanKRAS protein, humanProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)BRAFColorectal cancerIntegrative -omics analysisIsogenic cell modelsKRASRas pathway

Identifiers

PMID34233735
PMCPMC8265010
OpenAlexW3162520124

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.