Biology subjects

Rendo, V.

Publications and source records attributed to Rendo, V..

4 recordsLinked to original sources

bioRxiv2024

Recurrent breakpoints in the BRD4 locus reduce toxicity associated with gene amplification

Structural variants (SVs) represent a mechanism by which cancer cells activate oncogenes or disrupt the function of genes with tumor suppressor roles. A recent study by the PCAWG Consortium investigated structural variants in 30 tumor types, identifying focal rearrangements in the oncogenic BRD4 gene in ovarian, endometrial and breast cancers. These rearrangements resulted in decreased BRD4 expression despite increased copy number, suggesting a novel mechanism to finetune gene over-expression. In this study, we show that focal deletions of BRD4 disrupt genomic regulatory regions and impact gene isoform expression in breast and ovarian tumors when compared to their expression across normal tissues. To determine the functional impact of these concomitant amplification and focal deletion events, we first leveraged open-reading-frame (ORF) screen data from 16 cancer cell lines, where we observed that overexpression of BRD4-long and BRD4-short isoforms is toxic for cancer cell growth. We confirmed these results in OVSAHO ovarian cancer cells, where overexpression of both isoforms significantly reduced tumor growth. Next, we mimicked the focal deletions occurring in BRD4 regulatory regions by CRISPR-Cas9 technology, and observed that their depletion functionally ablates tumor cell growth. We finally show that these focal deletions rescue ovarian carcinoma cells from the toxicity effects associated with gene overexpression, suggesting that global BRD4 gene expression levels must be fine tuned to ensure proper cancer cell proliferation. Our study provides experimental evidence for BRD4 deletions constituting the first example of a driver SV alteration reducing toxicity in cancer, therefore expanding the landscape of cancer progression mechanisms.

cancer biology↗

bioRxiv2024

BMP4 induces a p21-dependent cell state shift in glioblastoma linking mesenchymal transition to senescence

Bone morphogenetic protein 4 (BMP4) has emerged as a potential glioblastoma therapy due to its anti- proliferative effect via SOX2 downregulation and differentiation promotion. However, BMP4 responses vary across and within tumors. Our previous data indicate that BMP4 induces transition to a mesenchymal-like cell state. Mesenchymal transition is associated with therapy-resistance and tumor recurrence, as is senescence in cancer. In this study, we investigated BMP4s potential to induce senescence in primary glioblastoma cells, including proneural- and mesenchymal-like clones derived from the same tumor. BMP4 treatment induced senescence-associated genes and phenotypic changes such as cell enlargement, senescence- associated-{beta}-gal expression, lamin B1 downregulation, and elevated p21 levels. The most robust senescence induction was observed in the mesenchymal-like clone, compared to its proneural counterpart. Notably, mesenchymal-like cells displayed high basal levels of p21 and other senescence- associated markers, suggesting a convergence of mesenchymal and senescent traits. p21 knockout abolished BMP4-induced senescence, maintaining proliferation and cell size despite SOX2 downregulation. Additionally, senolytic treatment effectively eliminated senescent cells through apoptosis, thereby favoring survival of cells retaining normal p21 levels. Our findings demonstrate BMP4s ability to induce p21-dependent senescence in glioblastoma, particularly in therapy-resistant mesenchymal-like cells. These insights provide potential therapeutic strategies targeting senescence pathways in this challenging disease.

cancer biology↗

bioRxiv2023

A compendium of Amplification-Related Gain Of Sensitivity (ARGOS) genes in human cancer

Chromosomal gains are among the most frequent somatic genetic alterations occurring in cancer. While the effect of sustained oncogene expression has been characterized, the impact of copy-number gains affecting collaterally-amplified "bystander" genes on cellular fitness remains less understood. To investigate this, we built a comprehensive map of dosage compensations across human cancers by integrating expression and copy number profiles from over 8,000 TCGA tumors and CCLE cell lines. Further, we analyzed the effect of gene overexpression across 17 human cancer ORF screens to provide an overview of genes that prove toxic to cancer cells when overexpressed. Combining these two independent approaches we propose a class of Amplification-Related Gain Of Sensitivity (ARGOS) genes. These genes are located in commonly amplified regions of the genome, have lower expression levels than expected by their copy-number status, and are toxic to cancer cells when overexpressed. We experimentally validated CDKN1A and RBM14 as high-confidence pan-cancer ARGOS genes in lung and breast cancer cell line models. We additionally suggest that RBM14s mechanism of toxicity involves altered DNA damage response and innate immune signaling processes following gene overexpression. Finally, we provide a comprehensive catalog of compensated, toxic, and ARGOS genes as a community resource.

cancer biology↗

bioRxiv2023

COMPARISON OF HIGH-THROUGHPUT SINGLE-CELL RNA-SEQ METHODS FOR EX VIVO DRUG SCREENING

Functional precision medicine (FPM) aims to optimize patient-specific drug selection based on the unique characteristics of their cancer cells. Recent advancements in high throughput ex vivo drug profiling have accelerated interest in FPM. Here, we present a proof-of-concept study for an integrated experimental system that incorporates ex vivo treatment response with a single-cell gene expression output enabling barcoding of several drug conditions in one single-cell sequencing experiment. We demonstrate this through a proof-of-concept investigation focusing on the glucocorticoid-resistant acute lymphoblastic leukemia (ALL) E/R+ Reh cell line. Three different single-cell transcriptome sequencing (scRNA-seq) approaches were evaluated, each exhibiting high cell recovery and accurate tagging of distinct drug conditions. Notably, our comprehensive analysis revealed variations in library complexity, sensitivity (gene detection), and differential gene expression detection across the methods. Despite these differences, we identified a substantial transcriptional response to fludarabine, a highly relevant drug for treating high-risk ALL, which was consistently recapitulated by all three methods. These findings highlight the potential of our integrated approach for studying drug responses at the single-cell level and emphasize the importance of method selection in scRNA-seq studies. Finally, our data encompassing 27,327 cells are freely available to extend to future scRNA-seq methodological comparisons.

genomics↗