Biology subjects

Rajan, P.

Publications and source records attributed to Rajan, P..

7 recordsLinked to original sources

bioRxiv2026

Transcriptome profiling of cell-free RNAs in prostate cancer patients on active surveillance

Active surveillance (AS) delays or avoids unnecessary treatment-related side effects for early localised non-aggressive prostate cancer (PCa) through monitoring with regular prostate-specific antigen (PSA) testing, digital rectal examination (DRE), magnetic resonance imaging (MRI) and prostate biopsy. Whilst baseline MRI has prognostic value and is increasingly used for disease monitoring, molecular biomarkers could be an adjunct to refine risk stratification and disease prognostication [2]. Unlike tissue-based genomic classifiers such as Decipher (Veracyte) and Prolaris CCP (Myriad), blood-based molecular testing for example cell-free RNA (cfRNA) offers minimally invasive real-time monitoring. Moreover, cfRNA may yield genetic information shed from different cell populations within the tumour microenvironment, as well as the host circulation, expanding the opportunities for biomarker discovery. Here, we test the feasibility of whole transcriptome profiling of cfRNAs from the blood of PCa patients under AS, exploring differences between patients with stable disease (SD), and progression to radical prostatectomy (RP).

cancer biology↗

bioRxiv2025

A Sequential Triple-Drug Strategy for Selective Targeting of p53-Mutant Cancers

The tumor suppressor TP53 gene (p53) is mutated in most human malignancies; however, existing treatment options are largely ineffective, lack selectivity, and cause toxic side effects. To address these clinical problems, we developed a sequential triple-drug strategy for p53 mutant cancer cells. Here we show that a combination of a thymidine analogue (TAS102) plus PARP inhibitor (PARPi) promotes formation of DNA double-strand breaks (DSBs) and G2-arrest specifically in p53 mutant cancer cells. Transcriptome analysis revealed that TAS102-PARPi treatment of p53 mutant cells did not repress DNA replication but activated DSB repair and blocked the mitotic program, consistent with G2-arrest. In contrast, TAS102-PARPi treatment of normal p53 wild-type cells resulted in a temporal G1-arrest and rapid recovery of cell cycle capacity after drug withdrawal. In p53 mutant cancer cells, subsequent blocking of a G2-checkpoint kinase, such as WEE1, released these G2-arrested cells into mitosis, leading to massive cell death. Delayed administration of a G2-kinase inhibitor provides time for p53 wild-type cells to repair DNA, thereby minimizing toxicity to normal tissues. This sequential triple-drug strategy exhibited robust efficacy in preclinical models of colorectal and pancreatic cancers and was well tolerated in mice. Together, our findings illustrate a promising triple-drug strategy for targeting p53 mutant malignancies.

cancer biology↗

bioRxiv2025

p38 blockade reverses the immune suppressive tumor microenvironment in metastatic breast cancer

Metastatic breast cancer (MBC) is a life-threatening disease with limited therapeutic options. The immune suppressive tumor microenvironment (TME) limits the potency of the antitumor immune response and facilitates disease progression and metastasis. Our current study demonstrates that p38 is a druggable target in the TME that regulates the outcome of the immune-tumor interaction. The study revealed that systemic blockade of p38 reduces metastasis, and this anti-metastatic response is negated by depletion of CD8+ T cells. Single-cell transcriptomic analysis of the immune-TME showed that pharmacological p38 inhibition (p38i) or tumor-specific inactivation of p38 by CRISPR/Cas9 (p38KO) resulted in a less exhausted and more activated CD8+ T cell phenotype. Immunophenotyping analyses demonstrated that p38 blockade reduced the expression of multiple inhibitory receptors on CD8+ T cells (i.e., PD-1, LAG-3, CTLA-4), indicating a reversal of immune exhaustion and enhanced immune activation systemically and in the TME. In contrast, p38 blockade did not exhibit inhibitory effects on T cells in proliferation assays in vitro and did not affect the proportion of regulatory T cells in vivo. The major negative impact of p38 blockade in vivo was on the myeloid populations, such as myeloid-derived suppressor cells (MDSCs) and tumor-associated macrophages (TAMs). Further, tumor p38 activity was required for the expression of cytokines/chemokines and tumor-derived exosomes with high chemotactic capacity for myeloid cells. Altogether, this study highlights a previously unrecognized p38-driven pathway that promotes an immune suppressive TME and metastasis, and that therapeutic blockade of p38 has important implications for improving antitumor immunity and patient outcomes. STATEMENT OF SIGNIFICANCEThis study highlights a previously unrecognized p38-driven tumor pathway that promotes an immune suppressive microenvironment and metastasis, and that therapeutic blockade of p38 has important implications for improving antitumor immunity and patient outcomes.

cancer biology↗

bioRxiv2023

Comparison of cell response to chromatin and DNA damage

DNA-targeting drugs may damage DNA or chromatin. Many anti-cancer drugs damage both, making it difficult to understand their mechanisms of action. Using molecules causing DNA breaks without altering nucleosome structure (bleomycin) or destabilizing nucleosomes without damaging DNA (curaxin), we investigated the consequences of DNA or chromatin damage in normal and tumor cells. As expected, DNA damage caused p53-dependent growth arrest followed by senescence. Chromatin damage caused higher p53 accumulation than DNA damage; however, growth arrest was p53-independent and did not result in senescence. Chromatin damage activated the transcription of multiple genes, including classical p53 targets, in a p53-independent manner. Although these genes were not highly expressed in basal conditions, they had chromatin organization around the transcription start sites (TSS) characteristic of most highly expressed genes and the highest level of paused RNA polymerase. We hypothesized that nucleosomes around the TSS of these genes were the most sensitive to chromatin damage. Therefore, nucleosome loss upon curaxin treatment would enable transcription without the assistance of sequence-specific transcription factors. We confirmed this hypothesis by showing greater nucleosome loss around the TSS of these genes upon curaxin treatment and activation of a p53-specific reporter in p53-null cells by chromatin-damaging agents but not DNA-damaging agents.

molecular biology↗

bioRxiv2022

HNRNPA2B1 controls an unfolded protein response-related prognostic gene signature in prostate cancer

HNRNPA2B1 is associated with prostate cancer (PC) disease aggressiveness and underlies pro-tumourigenic cellular stress responses. By analysing >500 PC transcriptomes, we reveal that HNRNPA2B1 over-expression is associated with poor patient prognosis and stress response pathways. These include the "protein processing in the endoplasmic reticulum" (ER) pathway, which incorporates the unfolded protein response (UPR). By RNA-sequencing of HNRNPA2B1-depleted cells PC cells, we identified HNRNPA2B1-mediated down-regulation of UPR genes including the master ER-stress sensor IRE1, which induces ER proteostasis. Consistent with IRE1 down-regulation in HNRNPA2B1-depleted cells, we observed reduced splicing of the IRE1-target and key UPR effector XBP1s. Furthermore, HNRNPA2B1 depletion up-regulates expression of the IRE1-dependent decay (RIDD) target gene BLOC1S1, which is degraded by activated IRE1. We identify a HNRNPA2B1-IRE1-XBP1-controlled four gene prognostic biomarker signature (HIX) which classifies a subgroup of primary PC patients at high risk of disease relapse. Pharmacological targeting of IRE1 attenuated HNRNAPA2-driven PC cell growth. Taken together, our data reveal a putative novel mechanism of UPR activation in PC by HNRNPA2B1, which may promote an IRE1-dependent yet potentially-targetable recurrent disease phenotype.

cancer biology↗

bioRxiv2018

Dysregulation of splicing-related proteins in prostate cancer is controlled by FOXA1

Prostate cancer (PCa) is genomically driven by dysregulation of transcriptional networks involving the transcriptional factors (TFs) FOXA1, ERG, AR, and HOXB13. However, the role of these specific TFs in the regulation of alternative pre-mRNA splicing (AS), which is a proven therapeutic vulnerability for cancers driven by the TF MYC, is not described. Using transcriptomic datasets from PCa patients, we tested for an association between expression of FOXA1, ERG, AR, HOXB13, and MYC, and genes involved in AS - termed splicing-related proteins (SRPs), which have pleiotropic roles in RNA metabolism. We identified FOXA1 as the strongest predictor of dysregulated SRP gene expression, which was associated with PCa disease relapse after treatment. Subsequently, we selected a subset of FOXA1-binding and actively-transcribed SRP genes that phenocopy the FOXA1 dependency of PCa cells, and confirmed in vitro via knockdown and over-expression that FOXA1 regulates SRP gene expression. Finally, we demonstrated the persistence of a FOXA1-SRP gene association in treatment-relapsed castration-resistant PCa (CRPCa) patients. Our data demonstrate, for the first time, that FOXA1 controls dysregulated SRP gene expression, which is associated with poor PCa patient outcomes. Analogous to MYC-driven cancers, our findings implicate the therapeutic targeting of SRPs and AS in FOXA1-overexpressing PCa.

cancer biology↗

bioRxiv2018

Cell-free DNA profiling of metastatic prostate cancer reveals microsatellite instability, structural rearrangements and clonal hematopoiesis

BackgroundThere are multiple existing and emerging therapeutic avenues for metastatic prostate cancer, with a common denominator, which is the need for predictive biomarkers. Circulating tumor DNA (ctDNA) has the potential to cost-efficiently accelerate precision medicine trials to improve clinical efficacy and diminish costs and toxicity. However, comprehensive ctDNA profiling in metastatic prostate cancer to date has been limited.\n\nMethodsA combination of targeted- and low-pass whole genome sequencing was performed on plasma cell-free DNA and matched white blood cell germline DNA in 364 blood samples from 217 metastatic prostate cancer patients.\n\nResultsctDNA was detected in 85.9% of baseline samples, correlated to line of therapy and was mirrored by circulating tumor cell enumeration of synchronous blood samples. Comprehensive profiling of the androgen receptor (AR) revealed a continuous increase in the fraction of patients with intra-AR structural variation, from 15.4% during first line mCRPC therapy to 45.2% in fourth line, indicating a continuous evolution of AR during the course of the disease. Patients displayed frequent alterations in DNA repair deficiency genes (18.0%). Additionally, the microsatellite instability phenotype was identified in 3.81% of eligible samples ([≥]0.1 ctDNA fraction). Sequencing of non-repetitive intronic- and exonic regions of PTEN, RB1 and TP53 detected biallelic inactivation in 47.5%, 20.3% and 44.1% of samples with [≥]0.2 ctDNA fraction, respectively. Only one patient carried a clonal high-impact variant without a detectable second hit. Intronic high-impact structural variation was twice as common as exonic mutations in PTEN and RB1. Finally, 14.6% of patients presented false positive variants due to clonal hematopoiesis, commonly ignored in commercially available assays.\n\nConclusionsctDNA profiles appear to mirror the genomic landscape of metastatic prostate cancer tissue and may cost-efficiently provide somatic information in clinical trials designed to identify predictive biomarkers. However, intronic sequencing of the interrogated tumor suppressors challenge the ubiquitous focus on coding regions and is vital, together with profiling of synchronous white blood cells, to minimize erroneous assignments which in turn may confound results and impede true associations in clinical trials.

genomics↗