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Dive into the research topics where Nilesh Gardi is active.

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Featured researches published by Nilesh Gardi.


Oncotarget | 2016

Notch pathway activation is essential for maintenance of stem-like cells in early tongue cancer

Pawan Upadhyay; Sudhir Nair; Ekjot Kaur; Jyotirmoi Aich; Prachi Dani; Vidyalakshmi Sethunath; Nilesh Gardi; Pratik Chandrani; Mukul Godbole; Kavita Sonawane; Ratnam Prasad; Sadhana Kannan; Beamon Agarwal; Shubhada Kane; Sudeep Gupta; Shilpee Dutt; Amit Dutt

Background Notch pathway plays a complex role depending on cellular contexts: promotes stem cell maintenance or induces terminal differentiation in potential cancer-initiating cells; acts as an oncogene in lymphocytes and mammary tissue or plays a growth-suppressive role in leukemia, liver, skin, and head and neck cancer. Here, we present a novel clinical and functional significance of NOTCH1 alterations in early stage tongue squamous cell carcinoma (TSCC). Patients and Methods We analyzed the Notch signaling pathway in 68 early stage TSCC primary tumor samples by whole exome and transcriptome sequencing, real-time PCR based copy number, expression, immuno-histochemical, followed by cell based biochemical and functional assays. Results We show, unlike TCGA HNSCC data set, NOTCH1 harbors significantly lower frequency of inactivating mutations (4%); is somatically amplified; and, overexpressed in 31% and 37% of early stage TSCC patients, respectively. HNSCC cell lines over expressing NOTCH1, when plated in the absence of attachment, are enriched in stem cell markers and form spheroids. Furthermore, we show that inhibition of NOTCH activation by gamma secretase inhibitor or shRNA mediated knockdown of NOTCH1 inhibits spheroid forming capacity, transformation, survival and migration of the HNSCC cells suggesting an oncogenic role of NOTCH1 in TSCC. Clinically, Notch pathway activation is higher in tumors of non-smokers compared to smokers (50% Vs 18%, respectively, P=0.026) and is also associated with greater nodal positivity compared to its non-activation (93% Vs 64%, respectively, P=0.029). Conclusion We anticipate that these results could form the basis for therapeutic targeting of NOTCH1 in tongue cancer.


Cell death discovery | 2017

Cell-free chromatin from dying cancer cells integrate into genomes of bystander healthy cells to induce DNA damage and inflammation

Indraneel Mittra; Urmila Samant; S.K. Sharma; Gorantla Venkata Raghuram; Tannistha Saha; Pritishkumar Tidke; Namrata Pancholi; Deepika Gupta; Preeti Prasannan; Ashwini Gaikwad; Nilesh Gardi; Rohan Chaubal; Pawan Upadhyay; Kavita Pal; Bhagyeshri Rane; Alfina Shaikh; Sameer Salunkhe; Shilpee Dutt; Pradyumna Kumar Mishra; Naveen Kumar Khare; Naveen Kumar Nair; Amit Dutt

Bystander cells of the tumor microenvironment show evidence of DNA damage and inflammation that can lead to their oncogenic transformation. Mediator(s) of cell–cell communication that brings about these pro-oncogenic pathologies has not been identified. We show here that cell-free chromatin (cfCh) released from dying cancer cells are the key mediators that trigger both DNA damage and inflammation in the surrounding healthy cells. When dying human cancer cells were cultured along with NIH3T3 mouse fibroblast cells, numerous cfCh emerged from them and rapidly entered into nuclei of bystander NIH3T3 cells to integrate into their genomes. This led to activation of H2AX and inflammatory cytokines NFκB, IL-6, TNFα and IFNγ. Genomic integration of cfCh triggered global deregulation of transcription and upregulation of pathways related to phagocytosis, DNA damage and inflammation. None of these activities were observed when living cancer cells were co-cultivated with NIH3T3 cells. However, upon intravenous injection into mice, both dead and live cells were found to be active. Living cancer cells are known to undergo extensive cell death when injected intravenously, and we observed that cfCh emerging from both types of cells integrated into genomes of cells of distant organs and induced DNA damage and inflammation. γH2AX and NFκB were frequently co-expressed in the same cells suggesting that DNA damage and inflammation are closely linked pathologies. As concurrent DNA damage and inflammation is a potent stimulus for oncogenic transformation, our results suggest that cfCh from dying cancer cells can transform cells of the microenvironment both locally and in distant organs providing a novel mechanism of tumor invasion and metastasis. The afore-described pro-oncogenic pathologies could be abrogated by concurrent treatment with chromatin neutralizing/degrading agents suggesting therapeutic possibilities.


Scientific Reports | 2016

Elucidation of molecular and functional heterogeneity through differential expression network analyses of discrete tumor subsets

Rutika R. Naik; Nilesh Gardi; Sharmila A. Bapat

Intratumor heterogeneity presents a major hurdle in cancer therapy. Most current research studies consider tumors as single entities and overlook molecular diversity between heterogeneous state(s) of different cells assumed to be homogenous. The present approach was designed for fluorescence-activated cell sorting-based resolution of heterogeneity arising from cancer stem cell (CSC) hierarchies and genetic instability in ovarian tumors, followed by microarray-based expression profiling of sorted fractions. Through weighted gene correlation network analyses, we could assign enriched modules of co-regulated genes to each fraction. Such gene modules often correlate with biological functions; one such specific association was the enrichment of CD53 expression in CSCs, functional validation indicated CD53 to be a tumor-initiating cell- rather than quiescent CSC-marker. Another association defined a state of poise for stress-induced metastases in aneuploid cells. Our results thus emphasize the need for studying cell-specific functionalities relevant to regeneration, drug resistance and disease progression in discrete tumor cell fractions.


Database | 2016

TMC-SNPdb: an Indian germline variant database derived from whole exome sequences.

Pawan Upadhyay; Nilesh Gardi; Sanket Desai; Bikram Sahoo; Ankita Singh; Trupti Togar; Prajish Iyer; Ratnam Prasad; Pratik Chandrani; Sudeep Gupta; Amit Dutt

Cancer is predominantly a somatic disease. A mutant allele present in a cancer cell genome is considered somatic when it’s absent in the paired normal genome along with public SNP databases. The current build of dbSNP, the most comprehensive public SNP database, however inadequately represents several non-European Caucasian populations, posing a limitation in cancer genomic analyses of data from these populations. We present the Tata Memorial Centre-SNP database (TMC-SNPdb), as the first open source, flexible, upgradable, and freely available SNP database (accessible through dbSNP build 149 and ANNOVAR)—representing 114 309 unique germline variants—generated from whole exome data of 62 normal samples derived from cancer patients of Indian origin. The TMC-SNPdb is presented with a companion subtraction tool that can be executed with command line option or using an easy-to-use graphical user interface with the ability to deplete additional Indian population specific SNPs over and above dbSNP and 1000 Genomes databases. Using an institutional generated whole exome data set of 132 samples of Indian origin, we demonstrate that TMC-SNPdb could deplete 42, 33 and 28% false positive somatic events post dbSNP depletion in Indian origin tongue, gallbladder, and cervical cancer samples, respectively. Beyond cancer somatic analyses, we anticipate utility of the TMC-SNPdb in several Mendelian germline diseases. In addition to dbSNP build 149 and ANNOVAR, the TMC-SNPdb along with the subtraction tool is available for download in the public domain at the following: Database URL: http://www.actrec.gov.in/pi-webpages/AmitDutt/TMCSNP/TMCSNPdp.html


Journal of Cancer Research and Clinical Oncology | 2017

Impact of intra-tumoral IL17A and IL32 gene expression on T-cell responses and lymph node status in breast cancer patients

Shreyas Bhat; Nilesh Gardi; Sujata Hake; Nirupama Kotian; Sharada Sawant; Sadhana Kannan; Vani Parmar; Sangeeta Desai; Amit Dutt; Narendra N. Joshi

PurposePro-inflammatory cytokines such as Interleukin-17A (IL17A) and Interleukin-32 (IL32), known to enhance natural killer and T cell responses, are also elevated in human malignancies and linked to poor clinical outcomes. To address this paradox, we evaluated relation between IL17A and IL32 expression and other inflammation- and T cell response-associated genes in breast tumors.MethodsTaqMan-based gene expression analysis was carried out in seventy-eight breast tumors. The association between IL17A and IL32 transcript levels and T cell response genes, ER status as well as lymph node status was also examined in breast tumors from TCGA dataset.ResultsIL17A expression was detected in 32.7% ER-positive and 84.6% ER-negative tumors, with higher expression in the latter group (26.2 vs 7.1-fold, p < 0.01). ER-negative tumors also showed higher expression of IL32 as opposed to ER-positive tumors (8.7 vs 2.5-fold, p < 0.01). Expression of both IL17A and IL32 genes positively correlated with CCL5, GNLY, TBX21, IL21 and IL23 transcript levels (p < 0.01). Amongst ER-positive tumors, higher IL32 expression significantly correlated with lymph node metastases (p < 0.05). Conversely, in ER-negative subtype, high IL17A and IL32 expression was seen in patients with negative lymph node status (p < 0.05). Tumors with high IL32 and IL17A expression showed higher expression of TH1 response genes studied, an observation validated by similar analysis in the TCGA breast tumors (n=1041). Of note, these tumors were characterized by low expression of a potentially immunosuppressive isoform of IL32 (IL32γ).ConclusionThese results suggest that high expression of both IL17A and IL32 leads to enhancement of T cell responses. Our study, thus, provides basis for the emergence of strong T cell responses in an inflammatory milieu that have been shown to be associated with better prognosis in ER-negative breast cancer.


Scientific Reports | 2016

Unique spectral markers discern recurrent Glioblastoma cells from heterogeneous parent population.

Ekjot Kaur; Aditi Sahu; Arti R. Hole; Jacinth Rajendra; Rohan Chaubal; Nilesh Gardi; Amit Dutt; Aliasgar Moiyadi; C. Murali Krishna; Shilpee Dutt

An inability to discern resistant cells from bulk tumour cell population contributes to poor prognosis in Glioblastoma. Here, we compared parent and recurrent cells generated from patient derived primary cultures and cell lines to identify their unique molecular hallmarks. Although morphologically similar, parent and recurrent cells from different samples showed variable biological properties like proliferation and radiation resistance. However, total RNA-sequencing revealed transcriptional landscape unique to parent and recurrent populations. These data suggest that global molecular differences but not individual biological phenotype could differentiate parent and recurrent cells. We demonstrate that Raman Spectroscopy a label-free, non-invasive technique, yields global information about biochemical milieu of recurrent and parent cells thus, classifying them into distinct clusters based on Principal-Component-Analysis and Principal-Component-Linear-Discriminant-Analysis. Additionally, higher lipid related spectral peaks were observed in recurrent population. Importantly, Raman spectroscopic analysis could further classify an independent set of naïve primary glioblastoma tumour tissues into non-responder and responder groups. Interestingly, spectral features from the non-responder patient samples show a considerable overlap with the in-vitro generated recurrent cells suggesting their similar biological behaviour. This feasibility study necessitates analysis of a larger cohort of naïve primary glioblastoma samples to fully envisage clinical utility of Raman spectroscopy in predicting therapeutic response.


Breast Cancer Research and Treatment | 2018

Pre-operative progesterone benefits operable breast cancer patients by modulating surgical stress

Shatakshee Chatterjee; Rohan Chaubal; Arindam Maitra; Nilesh Gardi; Amit Dutt; Sudeep Gupta; Rajendra A. Badwe; Partha P. Majumder; Priyanka Pandey

PurposeWe have reported a survival benefit of single injection of hydroxyprogesterone prior to surgery for primary tumour in patients with node-positive operable breast cancer. Hydroxyprogesterone was meant to recapitulate the luteal phase of menstrual cycle in these women. We wanted to understand the molecular basis of action of hydroxyprogesterone on primary breast tumours in a peri-operative setting.MethodsWe performed whole transcriptome sequencing (RNA-Seq) of primary breast tumour samples collected from patients before and after hydroxyprogesterone exposure and controls. Paired breast cancer samples were obtained from patients who were given hydroxyprogesterone before surgery and a group of patients who were subjected to only surgery.ResultsA test of significance between the two groups revealed 207 significantly altered genes, after correction for multiple hypothesis testing. We found significantly contrasting gene expression patterns in exposed versus unexposed groups; 142 genes were up-regulated post-surgery among exposed patients, and down-regulated post-surgery among unexposed patients. Significantly enriched pathways included genes that respond to progesterone, cellular stress, nonsense-mediated decay of proteins and negative regulation of inflammatory response. These results suggest that cellular stress is modulated by hydroxyprogesterone. Network analysis revealed that UBC, a mediator of stress response, to be a major node to which many of the significantly altered genes connect.ConclusionsOur study suggests that pre-operative exposure to progesterone favourably modulates the effect of surgical stress, and this might underlie its beneficial effect when administered prior to surgery.


Oral Oncology | 2017

Genomic characterization of tobacco/nut chewing HPV-negative early stage tongue tumors identify MMP10 as a candidate to predict metastases

Pawan Upadhyay; Nilesh Gardi; Sanket Desai; Pratik Chandrani; Asim Joshi; Bhaskar Dharavath; Priyanca Arora; Munita Bal; Sudhir Nair; Amit Dutt

Highlights • Portrait of somatic alterations in HPV-negative early stage tongue tumors with tobacco signature.• Upregulation of genes related to EMT pathway identified by transcriptome analysis.• MMP10 could be a candidate prognostic biomarker to stratify patients who develop metastases.


bioRxiv | 2018

ERBB2 and KRAS Alterations Mediate Response to EGFR Inhibitors in early stage Gallbladder Cancer

Prajish Iyer; Shailesh V. Shrikhande; Malika Ranjan; Asim Joshi; Ratnam Prasad; Nilesh Gardi; Rahul Thorat; Sameer Salunkhe; Bhasker Dharavath; Bikram Sahoo; Pratik Chandrani; Hitesh Kore; Bhabani S. Mohanty; Vikram Chaudhari; Anuradha Choughule; Dhananjay Kawle; Pradip Chaudhari; Arvind Ingle; Shripad Banavali; Mukta Ramadwar; Kumar Prabhash; Savio George Barreto; Shilpee Dutt; Amit Dutt

The uncommonness of gallbladder cancer has contributed to the generally poor understanding of the disease, with scant reports restricted to advance-stage tumors. Here, using an integrated analysis of whole exome and phospho-proteome, we show recurrent activating ERBB2 and KRAS somatic mutations are present in 6 and 3 of 44 early-stage rare gallbladder tumors, respectively. In vitro and in vivo cell-based and biochemical assays reveal an essential role of ErbB pathway activation for the survival of gallbladder cells. Interestingly, the genetic and pharmacological dependencies of gallbladder cells are dependent on the KRAS mutant allele status, reminiscent of the clinical algorithm commonly practiced to opt for anti-EGFR treatment in colorectal cancer. In overall, we present the first evidence that the presence of KRAS (G12V), but not KRAS (G13D) mutation, may preclude gallbladder cancer patients to respond to anti-EGFR treatment, leading to an early adoption of an approved treatment regimen for gallbladder cancer patients.


Oncotarget | 2018

Enhanced proteasomal activity is essential for long term survival and recurrence of innately radiation resistant residual glioblastoma cells

Jacinth Rajendra; Keshava K. Datta; Sheikh Burhan Ud Din Farooqee; Rahul Thorat; Kiran Kumar; Nilesh Gardi; Ekjot Kaur; Jyothi Nair; Sameer Salunkhe; Ketaki Patkar; Sanket Desai; Jayant S. Goda; Aliasgar Moiyadi; Amit Dutt; Prasanna Vankatraman; Harsha Gowda; Shilpee Dutt

Therapy resistance and recurrence in Glioblastoma is due to the presence of residual radiation resistant cells. However, because of their inaccessibility from patient biopsies, the molecular mechanisms driving their survival remain unexplored. Residual Radiation Resistant (RR) and Relapse (R) cells were captured using cellular radiation resistant model generated from patient derived primary cultures and cell lines. iTRAQ based quantitative proteomics was performed to identify pathways unique to RR cells followed by in vitro and in vivo experiments showing their role in radio-resistance. 2720 proteins were identified across Parent (P), RR and R population with 824 and 874 differential proteins in RR and R cells. Unsupervised clustering showed proteasome pathway as the most significantly deregulated pathway in RR cells. Concordantly, the RR cells displayed enhanced expression and activity of proteasome subunits, which triggered NFkB signalling. Pharmacological inhibition of proteasome activity led to impeded NFkB transcriptional activity, radio-sensitization of RR cells in vitro, and significantly reduced capacity to form orthotopic tumours in vivo. We demonstrate that combination of proteasome inhibitor with radio-therapy abolish the inaccessible residual resistant cells thereby preventing GBM recurrence. Furthermore, we identified first proteomic signature of RR cells that can be exploited for GBM therapeutics.

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Amit Dutt

Homi Bhabha National Institute

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Pratik Chandrani

Homi Bhabha National Institute

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Pawan Upadhyay

Homi Bhabha National Institute

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Sameer Salunkhe

Homi Bhabha National Institute

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Prajish Iyer

Homi Bhabha National Institute

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Ekjot Kaur

Homi Bhabha National Institute

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