Among patients with colorectal cancer who benefit from therapy targeted to the epidermal growth factor receptor (EGFR), stable disease (SD) occurs more frequently than massive regressions. Exploring the mechanisms of this incomplete sensitivity to devise more efficacious treatments will likely improve patients' outcomes. We tested therapies tailored around hypothesis-generating molecular features in patient-derived xenografts ("xenopatients"), which originated from 125 independent samples that did not harbor established resistance-conferring mutations. Samples from xenopatients that responded to cetuximab, an anti-EGFR agent, with disease stabilization displayed high levels of EGFR family ligands and receptors, indicating high EGFR pathway activity. Five of 21 SD models (23.8%) characterized by particularly high expression of EGFR and EGFR family members regressed after intensified EGFR blockade by cetuximab and a small-molecule inhibitor. In addition, a subset of cases in which enhanced EGFR inhibition was unproductive (6 of 16, 37.5%) exhibited marked overexpression of insulin-like growth factor 2 (IGF2). Enrichment of IGF2 overexpressors among cases with SD was demonstrated in the entire xenopatient collection and was confirmed in patients by mining clinical gene expression data sets. In functional studies, IGF2 overproduction attenuated the efficacy of cetuximab. Conversely, interception of IGF2-dependent signaling in IGF2-overexpressing xenopatients potentiated the effects of cetuximab. The clinical implementation of IGF inhibitors awaits reliable predictors of response, but the results of this study suggest rational combination therapies for colorectal cancer and provide evidence for IGF2 as a biomarker of reduced tumor sensitivity to anti-EGFR therapy and a determinant of response to combined IGF2/EGFR targeting.
Additional file 7: Table S7. Summary of the number of samples assigned to secondary classes with peculiar molecular features as MSI status, BRAF/KRAS mutation and EMT, WNT and paneth scoring. For dichotomous variables, hypergeometric p-value has been computed to assign statistical significance at the ratio Observed over the Expected. For continuous variable, Student's T-test was performed. NC, not assigned to reference class, i.e. not assigned to that class.
Additional file 11: Table S10a. NTP-based multiCRIS classification on scRNA-seq profiles of CRC organoids. NTP analysis has been performed on scRNA-seq PDO data identifying cell with single-label class CRIS, Multi-label classes CRIS, and not classification. For classassignmentby NTP, FDR < 0.2 was considered significant. Table S10b. NTP-based multiCRIS classification in the CRC organoids. Summary table of NTP results on total single-cell datasets and at sample levels with percentages of cells assigned, not classified, single-label CRIS class assignment and multi-labels CRIS assignments.
Neuroblastoma (NB) is a frequently lethal tumor that occurs in childhood and originates from embryonic neural crest cells. The malignant and aggressive phenotype of NB is strictly related to the deregulation of pivotal pathways governing the proliferation/differentiation status of neural crest precursor cells, such as MYCN, Delta/Notch and Wnt/β-catenin (CTNNB1) signaling. In this article, we demonstrate that sialidase NEU4 long (NEU4L) influences the differentiation/proliferation behavior of NB SK-N-BE cells by determining hyperactivation of the Wnt/β-catenin signaling pathway. NEU4L overexpression in SK-N-BE cells induced significant increases in active, nonphosphorylated β-catenin content, β-catenin/TCF transcriptional activity and β-catenin gene target expression including MYCN, MYC, CCND2 (cyclin D2) and CDC25A. In turn, these molecular features strongly modified the behavior of NEU4L SK-N-BE overexpressing cells, promoting the following: (1) an enhanced proliferation rate, mainly due to a faster transition from G1 to S phase in the cell cycle; (2) a more undifferentiated cell phenotype, which was similar to stem-like NB cells and possibly mediated by an increase of the expression of the pluripotency genes, MYC, NANOG, OCT-4, CD133 and NES (nestin); (3) the failure of NB cell differentiation after serum withdrawal. The molecular link between NEU4L and Wnt/β-catenin signaling appeared to rely most likely on the capability of the enzyme to modify the sialylation level of cell glycoproteins. These findings could provide a new candidate for therapeutic treatment.
Abstract Background: Almost 10% of colon cancers harbor the canonical activating V600 BRAF mutation that in melanoma cancers has been shown to dramatically sensitize cells to targeted therapy and prolong survival. In the colon, such tumors are associated with worse survival. Recent clinical trials of combination therapies targeting the EGFR and MAPK pathways in these tumors have demonstrated impressive response rates. However, the clinical benefit has been limited by the rapid emergence of drug resistance. Identifying and targeting the genes complicit in this process and thus re-sensitize resistant cancer cells may be of clinical benefit. The landscape of drug resistance in cancer patients is composed of (a) loss-of-function (LoF), (b) gain-of-function (GoF) and (c) point mutation-mediated perturbations of genes, with often no single mechanism being predominant. Therefore, capturing the full breadth of resistance genes for any drug would require multiple genetic screens to be executed in parallel. Methods: We performed 3 genome-wide genetic screens in parallel in BRAF mutant colon cancer cells treated with a BRAF/MEK/EGFR inhibitor combination, to capture all of the resistance mechanisms described above. To screen for LoF events we used a genome-wide CRISPR/Cas9 sgRNA library. For GoF resistance events, a lentiviral-based insertional mutagenesis vector was used to randomly integrate the SFFV enhancer/promoter sequence throughout the genome. Finally, to saturate the genome of each cell line with point mutations we used N-Ethyl-N-nitrosourea (ENU) to randomly mutagenize every base in the genome. Each genetic screen was analysed separately to identify the relevant genes and pathways that confer drug resistance before aggregating the outputs of all three screens for a more comprehensive view of the drug resistance landscape. Results: The most recurrent and strongest hit from the CRISPR knockout screen was the inhibitor of Src family kinases, CSK. A Gaussian Kernal Convolution analysis for recurrent integrations detected in resistant clones following the insertional mutagenesis screen identified five genes as likely resistance candidates - BRAF, SOS1, MET, FRS2 and KRAS. Finally, Illumina exome sequencing of resistant clones following ENU mutagenesis revealed statistical enrichment for non-synonymous point mutations in three genes in the MAPK pathway, namely MAP2K1, NRAS and KRAS. Of note, loss of CSK was also shown to confer resistance to targeted therapies in other cancer types. Conclusion: Genome-wide genetic screens identified genes in the MAPK pathway likely to cause resistance clinically, and many of which are amenable to therapeutic targeting. Of note, the resistance as a result of loss of CSK instead activates Src signalling. It can be overcome through the addition of a Src inhibitor, and may be relevant across a range of cancer types as a resistance mechanism. Citation Format: Jonathan Brammeld, Marco Ranzani, Elizabeth A. Coker, Stacey Price, Theodoros I. Roumeliotis, Barbara Lupo, Mi Petljak, Steven P. Williams, Francesco Iorio, Francesco Sassi, Nanne Aben, Kosuke Yusa, Livio Trusolino, Lodewyk Wessels, David J. Adams, Mathew Garnett, Bissan Al-Lazikani, Jyoti S. Choudhary, Andrea Bertotti, Ultan McDermott. Genome-wide genetic screens define the drug resistance landscape of BRAF mutant colon cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1821.
'%3e%3cpath fill='%23012169' d='M0 0v30h60V0z'/%3e%3cpath stroke='%23fff' stroke-width='6' d='m0 0 60 30m0-30L0 30'/%3e%3cpath stroke='%23C8102E' stroke-width='4' d='m0 0 60 30m0-30L0 30' clip-path='url(%23b)'/%3e%3cpath stroke='%23fff' stroke-width='10' d='M30 0v30M0 15h60'/%3e%3cpath stroke='%23C8102E' stroke-width='6' d='M30 0v30M0 15h60'/%3e%3c/g%3e%3c/svg%3e)