Shrutiben Bhatt

Dr. Shrutiben Bhatt

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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 September 2024 in Cancers
Verified
Journal Article
Open access
PDF file
CWChuqi Wang
Chuqi Wang
JTJordan Yong Ming Tan
Jordan Yong Ming Tan
NCNishtha Chitkara
Nishtha Chitkara
SBShrutiben Bhatt
Shrutiben Bhatt
Mutation in p53 is the most frequent event in cancer development and a leading cause of cancer therapy resistance due to evasion of the apoptosis cascade. Beyond chemotherapies and radiation therapies, growing evidence indicates that p53-mutant tumors are resistant to a broad range of immune-based therapies, such as immune checkpoint inhibitors, chimeric antigen receptor (CAR) T, and hematopoietic stem cell transplantation (HSCT). This highlights the role of p53 mutations in driving immune evasion of tumor cells. In this review, we first summarize recent studies revealing mechanisms by which p53-mutant tumors evade immune surveillance from T cells, natural killer (NK) cells, and macrophages. We then review how these mutant tumor cells reshape the tumor microenvironment (TME), modulating bystander cells such as macrophages, neutrophils, and regulatory T (Treg) cells to foster immunosuppression. Additionally, we review clinical observations indicative of immune evasion associated with p53 loss or mutations. Finally, we discuss therapeutic strategies to enhance immune response in p53 wild-type (WT) or mutant tumors.

6 December 2022 in Leukemia
Verified
Journal Article
Closed access
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JJJonas Jutzi
Jonas Jutzi
AMAnna Marneth
Anna Marneth
MJMaría José Jiménez-Santos
María José Jiménez-Santos
JHJessica Hem
Jessica Hem
AGAngel Guerra-Moreno
Angel Guerra-Moreno
AMAnn Mullally
Ann Mullally

16 June 2023 in Blood Advances
Verified
Journal Article
Open access
PDF file
EOElyse A. Olesinski
Elyse A. Olesinski
KBKaranpreet S. Bhatia
Karanpreet S. Bhatia
AMAarthi N. Mahesh
Aarthi N. Mahesh
SRShazwina Rosli
Shazwina Rosli
JMJameelah S. Mohamed
Jameelah S. Mohamed
SBShrutiben Bhatt
Shrutiben Bhatt

1 May 2024 in Blood Cancer Discovery
Verified
Journal Article
Closed access
PDF file
EOElyse A Olesinski
Elyse A Olesinski
KBKaranpreet Singh Bhatia
Karanpreet Singh Bhatia
CWChuqi Wang
Chuqi Wang
MPMarissa S. Pioso
Marissa S. Pioso
XLXiao Xian Lin
Xiao Xian Lin
SBShrutiben Bhatt
Shrutiben Bhatt
In many cancers, mortality is associated with the emergence of relapse with multidrug resistance (MDR). Thus far, the investigation of cancer relapse mechanisms has largely focused on acquired genetic mutations. Using acute myeloid leukemia (AML) patient-derived xenografts (PDX), we systematically elucidated a basis of MDR and identified drug sensitivity in relapsed AML. We derived pharmacologic sensitivity for 22 AML PDX models using dynamic BH3 profiling (DBP), together with genomics and transcriptomics. Using in vivo acquired resistant PDXs, we found that resistance to unrelated, narrowly targeted agents in distinct PDXs was accompanied by broad resistance to drugs with disparate mechanisms. Moreover, baseline mitochondrial apoptotic priming was consistently reduced regardless of the class of drug-inducing selection. By applying DBP, we identified drugs showing effective in vivo activity in resistant models. This study implies evasion of apoptosis drives drug resistance and demonstrates the feasibility of the DBP approach to identify active drugs for patients with relapsed AML. Significance: Acquired resistance to targeted therapy remains challenging in AML. We found that reduction in mitochondrial priming and common transcriptomic signatures was a conserved mechanism of acquired resistance across different drug classes in vivo. Drugs active in vivo can be identified even in the multidrug resistant state by DBP.

13 July 2024 in Leukemia
Verified
Journal Article
Open access
PDF file
SCSana Chaudhry
Sana Chaudhry
FBFelipe Cesar Ferrarezi Beckedorff
Felipe Cesar Ferrarezi Beckedorff
SJShaista Shabbir Jasdanwala
Shaista Shabbir Jasdanwala
TTTulasigeri M. Totiger
Tulasigeri M. Totiger
MAMaurizio Affer
Maurizio Affer
JTJustin Taylor
Justin Taylor
SF3B1 mutations frequently occur in cancer yet lack targeted therapies. Clinical trials of XPO1 inhibitors, selinexor and eltanexor, in high-risk myelodysplastic neoplasms (MDS) revealed responders were enriched with SF3B1 mutations. Given that XPO1 (Exportin-1) is a nuclear exporter responsible for the export of proteins and multiple RNA species, this led to the hypothesis that SF3B1-mutant cells are sensitive to XPO1 inhibition, potentially due to altered splicing. Subsequent RNA sequencing after XPO1 inhibition in SF3B1 wildtype and mutant cells showed increased nuclear retention of RNA transcripts and increased alternative splicing in the SF3B1 mutant cells particularly of genes that impact apoptotic pathways. To identify novel drug combinations that synergize with XPO1 inhibition, a forward genetic screen was performed with eltanexor treatment implicating anti-apoptotic targets BCL2 and BCLXL, which were validated by functional testing in vitro and in vivo. These targets were tested in vivo using Sf3b1K700E conditional knock-in mice, which showed that the combination of eltanexor and venetoclax (BCL2 inhibitor) had a preferential sensitivity for SF3B1 mutant cells without excessive toxicity. In this study, we unveil the mechanisms underlying sensitization to XPO1 inhibition in SF3B1-mutant MDS and preclinically rationalize the combination of eltanexor and venetoclax for high-risk MDS.

12 February 2024 in Frontiers in Oncology
Verified
Journal Article
Open access
PDF file
KBKaranpreet Bhatia
Karanpreet Bhatia
VSVedant Sandhu
Vedant Sandhu
MWMei Hsuan Wong
Mei Hsuan Wong
PIPrasad Iyer
Prasad Iyer
SBShrutiben Bhatt
Shrutiben Bhatt
Acute myeloid leukemia (AML) is clinically and genetically a heterogeneous disease characterized by clonal expansion of abnormal hematopoietic progenitors. Genomic approaches to precision medicine have been implemented to direct targeted therapy for subgroups of AML patients, for instance, IDH inhibitors for IDH1/2 mutated patients, and FLT3 inhibitors with FLT3 mutated patients. While next generation sequencing for genetic mutations has improved treatment outcomes, only a fraction of AML patients benefit due to the low prevalence of actionable targets. In recent years, the adoption of newer functional technologies for quantitative phenotypic analysis and patient-derived avatar models has strengthened the potential for generalized functional precision medicine approach. However, functional approach requires robust standardization for multiple variables such as functional parameters, time of drug exposure and drug concentration for making in vitro predictions. In this review, we first summarize genomic and functional therapeutic biomarkers adopted for AML therapy, followed by challenges associated with these approaches, and finally, the future strategies to enhance the implementation of precision medicine.