2021
DOI: 10.1186/s13073-021-00926-7
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Secondary resistance to anti-EGFR therapy by transcriptional reprogramming in patient-derived colorectal cancer models

Abstract: Background The development of secondary resistance (SR) in metastatic colorectal cancer (mCRC) treated with anti-epidermal growth factor receptor (anti-EGFR) antibodies is not fully understood at the molecular level. Here we tested in vivo selection of anti-EGFR SR tumors in CRC patient-derived xenograft (PDX) models as a strategy for a molecular dissection of SR mechanisms. Methods We analyzed 21 KRAS, NRAS, BRAF, and PI3K wildtype CRC patient-der… Show more

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Cited by 9 publications
(15 citation statements)
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“…Gene set enrichment analyses software [25] (V4.3.2) was provided by the Broad Institute of the Massachusetts Institute of Technology and Harvard University (http://www.broad.mit.edu/gsea/). Compared to a previous work [10], this time the hallmark gene sets (V2023.1) were used with default parameters of the GSEA software package; gene set permutation was used. Gene sets with FDR q ‐val ≤ 0.05 were considered appropriate.…”
Section: Methodsmentioning
confidence: 99%
“…Gene set enrichment analyses software [25] (V4.3.2) was provided by the Broad Institute of the Massachusetts Institute of Technology and Harvard University (http://www.broad.mit.edu/gsea/). Compared to a previous work [10], this time the hallmark gene sets (V2023.1) were used with default parameters of the GSEA software package; gene set permutation was used. Gene sets with FDR q ‐val ≤ 0.05 were considered appropriate.…”
Section: Methodsmentioning
confidence: 99%
“…RNA-sequencing data and clinical information were obtained from the GEO and TCGA databases. Overall, five eligible CC cohorts (GSE14333, GSE143985, GSE38832, GSE39582, and GSE140973) ( Jorissen et al, 2009 ; Marisa et al, 2013 ; Tripathi et al, 2014 ; Shinto et al, 2020 ; Vangala et al, 2021 ) and The Cancer Genome Atlas—Colon Adenocarcinoma (TCGA-COAD) were included. The primary endpoint was recurrence of the tumor or death, and patients without survival information were removed from further analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Although resistance mutations in KRAS are most frequent, mutations or amplification of other genes in the EGFR pathway, such as ERBB2 , MEK , BRAF, and MAP2K, could also cause or contribute to anti-EGFR treatment resistance (Figure 1 ). Basic studies using patient-derived xenograft models, where the acquisition of natural resistance by chronic cetuximab exposure is reproduced, have reported the emergence of driver mutations in EGFR , KRAS , MEK1 , and MEK2 [ 56 ]. These results have been documented in real-world clinical settings, where patients were prospectively followed up by liquid biopsy.…”
Section: Future Perspectivesmentioning
confidence: 99%