0000000000875701
AUTHOR
Pramudita R. Prasetyanti
showing 6 related works from this author
A multidimensional network approach reveals microRNAs as determinants of the mesenchymal colorectal cancer subtype
2016
Colorectal cancer (CRC) is a heterogeneous disease posing a challenge for accurate classification and treatment of this malignancy. There is no common genetic molecular feature that would allow for the identification of patients at risk for developing recurrences and thus selecting patients who would benefit from more stringent therapies still poses a major clinical challenge. Recently, an international multicenter consortium (CRC Subtyping Consortium) was established aiming at the classification of CRC patients in biologically homogeneous CRC subtypes. Four consensus molecular subtypes (CMSs) were identified, of which the mesenchymal CMS4 presented with worse prognosis signifying the impor…
Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models
2018
Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called consensus molecular subtypes (CMS1-4), each of which has a unique biology and gene expression pattern. In order to develop improved, subtype-specific therapies and to gain insight into the molecular wiring and origin of these subtypes, reliable models are needed. This study was designed to determine the heterogeneity and identify the prese…
Abstract 3193: Development of a colon cancer model system reveals epithelial contribution to poor-prognosis gene signatures
2016
Abstract Background: Recent consensus on molecular classification categorizes colorectal cancer (CRC) into 4 robust subtypes: CMS1 (epithelial-MSI), CMS2 (epithelial-canonical), CMS3 (epithelial-metabolic) and CMS4 (mesenchymal)1. CMS4 is linked to poor cancer prognosis and characterized by mesenchymal and epithelial-to-mesenchymal transition (EMT) gene expression2,3. Recent attempts to deconvolute the transcriptome from CRC tumors have suggested that the mesenchymal gene expression results from a large stromal compartment and is not due to epithelial cells with EMT-like features4,5. This challenges the classic notion that tumor cells activate the EMT program to undergo trans-differentiatio…
ErbB-3 activation by NRG-1β sustains growth and promotes vemurafenib resistance in BRAF-V600E colon cancer stem cells (CSCs)
2015
Approximately 5-10% of metastatic colorectal cancers harbor a BRAF-V600E mutation, which is correlated with resistance to EGFR-targeted therapies and worse clinical outcome. Vice versa, targeted inhibition of BRAF-V600E with the selective inhibitor PLX 4032 (Vemurafenib) is severely limited due to feedback re-activation of EGFR in these tumors. Mounting evidence indicates that upregulation of the ErbB-3 signaling axis may occur in response to several targeted therapeutics, including Vemurafenib, and NRG-1β-dependent re-activation of the PI3K/AKT survival pathway has been associated with therapy resistance. Here we show that colon CSCs express, next to EGFR and ErbB-2, also significant amoun…
Capturing colorectal cancer inter-tumor heterogeneity in patient-derived xenograft (PDX) models
2018
Patient-derived xenograft (PDX) models have become an important asset in translational cancer research. However, to provide a robust preclinical platform, PDXs need to accommodate the tumor heterogeneity that is observed in patients. Colorectal cancer (CRC) can be stratified into four consensus molecular subtypes (CMS) with distinct biological and clinical features. Surprisingly, using a set of CRC patients, we revealed the partial representation of tumor heterogeneity in PDX models. The epithelial subtypes, the largest subgroups of CRC subtype, were very ineffective in establishing PDXs, indicating the need for further optimization to develop an effective personalized therapeutic approach …
Capturing colorectal cancer inter-tumor heterogeneity in patient-derived xenograft (PDX) models
2019
Patient‐derived xenograft (PDX) models have become an important asset in translational cancer research. However, to provide a robust preclinical platform, PDXs need to accommodate the tumor heterogeneity that is observed in patients. Colorectal cancer (CRC) can be stratified into four consensus molecular subtypes (CMS) with distinct biological and clinical features. Surprisingly, using a set of CRC patients, we revealed the partial representation of tumor heterogeneity in PDX models. The epithelial subtypes, the largest subgroups of CRC subtype, were very ineffective in establishing PDXs, indicating the need for further optimization to develop an effective personalized therapeutic approach …