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| 1 | Immunophenotypic signature of primary glioblastoma multiforme: A case of extended progression free survival显示文摘Glioblastoma-multiforme(GBM), the most aggressive glial tumor, has a worldwide age-adjusted incidence ranging from 0.59-3.69/100000 persons. Despite current multimodal-treatment approach, median-survival time and progression-free survival(PFS) remains short. Glioblastomas display a variety of molecular alterations, which necessitates determining which of these have a prognostic significance. This is a case of a 45-yearold patient who presented with progressive slurring of speech and features of raised intracranial pressure. Computed tomography(CT) scan revealed a large heterogeneously enhancing lesion in the left front-temporalperisylvian region with solid, cystic areas, suggestive of malignant glioma. Partial tumor-excision was followed by concurrent chemo-radiotherapy. Histopathologically, the tumor was astrocytoma grade-IV. Patient had an extended PFS of 12 mo, with an overall survival of 26 mo. Primary-GBM was confirmed using molecular markers and the immunophenotypic signature was defined by evaluating systemic expression of human telomerase reverse transcriptase, interleukin-6, neutrophil-lymphocyte ratio, tissue inhibitor of metalloproteinases-1, human chitinase-3-like-protein-1(YKL-40) and high mobility group-A1. Current findings suggest that this signature can identify worst outcomes, independent of clinical criteria. | Puneet Gandhi Richa Khare Nitin Garg Sandeep Sorte | 2017 | World Journal of Clinical Cases2017，5，6： | 2 |
| 2 | Unique case of oligoastrocytoma with recurrence and grade progression:Exhibiting differential expression of high mobility group-A1 and human telomerase reverse transcriptase显示文摘Mixed gliomas, primarily oligoastrocytomas, account for about 5%-10% of all gliomas. Distinguishing oligoastrocytoma based on histological features alone has limitations in predicting the exact biological behavior, necessitating ancillary markers for greater specificity. In this case report, human telomerase reverse transcriptase(hT ERT) and high mobility group-A1(HMGA1); markers of proliferation and stemness, have been quantitatively analyzed in formalin-fixed paraffin-embedded tissue samples of a 34 years old patient with oligoastrocytoma. Customized florescence-based immunohistochemistry protocol with enhanced sensitivity and specificity is used in the study. The patient presented with a history of generalized seizures and his magnetic resonance imaging scans revealed infiltrative ill-defined mass lesion with calcified foci within the left frontal white matter, suggestive of glioma. He was surgically treated at our center for four consecutive clinical events. Histopathologically, the tumor was identified as oligoastrocytoma-grade Ⅱ followed by two recurrence events and final progression to grade Ⅲ. Overall survival of the patient without adjuvant therapy was more than 9 years. Glial fibrillary acidic protein, p53, Ki-67, nuclear atypia index, pre-operative neutrophillymphocyte ratio, are the other parameters assessed. Findings suggest that hT ERT and HMGA1 are linked to tumor recurrence and progression. Established markers can assist in defining precise histopathological grade in conjuction with conventional markers in clinical setup. | Puneet Gandhi Richa Khare Kavita Niraj Nitin Garg Sandeep K Sorte Hanni Gulwani | 2016 | World Journal of Clinical Cases2016，4，9： | 2 |
| 3 | Novel molecular panel for evaluating systemic inflammation and survival in therapy naïve glioma patients显示文摘BACKGROUND Inflammation is crucial to tumor progression.A traumatic event at a specific site in the brain activates the signaling molecules,which triggers inflammation as the initial response within the tumor and its surroundings.The educated immune cells and secreted proteins then initiate the inflammatory cascade leading to persistent chronic inflammation.Therefore,estimation of the circulating inflammatory indicators kynurenine(KYN),interleukin-6(IL-6),tissue-inhibitor of matrix-metalloproteinase-1 and human telomerase reverse transcriptase(hTERT)along with neutrophil-lymphocyte ratio(NLR)has prognostic value.AIM To assess the utility of chosen inflammatory marker panel in estimating systemic inflammation.METHODS The chosen markers were quantitatively evaluated in 90 naive,molecularly subtyped plasma samples of glioma.A correlation between the markers and confounders was assessed to establish their prognostication power.Follow-up on the levels of the indicators was done 3-mo post-surgery.To establish the validity of circulating KYN,it was also screened qualitatively by dot-immune-assay and by immunofluorescence-immunohistochemistry in tumor tissues.RESULTS Median values of circulating KYN,IL-6,hTERT,tissue-inhibitor of matrixmetalloproteinase-1 and NLR in isocitrate-dehydrogenase-mutant/wildtype and within the astrocytic sub-groups were estimated,which differed from controls,reaching statistical significance(P<0.0001).All markers negatively correlated with mortality(P<0.0001).Applying combination-statistics,the panel of KYN,IL-6,hTERT and NLR achieved higher sensitivity and specificity(>90%)than standalone markers,to define survival.The inflammatory panel could discriminate between WHO grades,and isocitrate-dehydrogenase-mutant/wildtype and define differential survival between astrocytic isocitrate-dehydrogenase-mutant/wildtype.Therefore,its assessment for precise disease prognosis is indicated.Association of KYN with NLR,IL-6 and hTERT was significant.Cox-regression described KYN,IL-6,NLR,and hTERT as good prognostic markers,independent of confounders.Multivariate linear-regression analysis confirmed the association of KYN and hTERT with inflammation marker IL-6.There was a concomitant significant decrease in their levels in a 3-mo follow-up.CONCLUSION The first evidence-based study of circulating-KYN in molecularly defined gliomas,wherein the tissue expression was found to be concomitant with plasma levels.A non-invasive model for assessing indicators of chronic systemic inflammation is proposed. | Puneet Gandhi Richa Shrivastava Nitin Garg Sandeep K Sorte | 2021 | World Journal of Clinical Oncology2021，12，10： | 2 |
| 4 | Effect of wet milling process on the solid state of indomethacin and simvastatin 显示文摘 | Sharma Puneet Denny William A Garg Sanjay | 2009 | International Journal of Pharmaeeutics2009，380，12： | 1 |
| 5 | Actin-depolymerizing factor Cofilin-1 is necessary in maintaining mature podocyte architecture显示文摘 | Puneet Garg Rakesh Verma LesLie Cook | | 0，，： | 1 |
| 6 | Spectrum of Perforation Peritonitis in Delhi: 77 Cases Experience显示文摘 | Dinesh Yadav Puneet K. Garg | 2013 | Indian Journal of Surgery2013，，2： | 1 |
| 7 | ML-Fresh: Novel Routing Protocol in Opportunistic Networks Using Machine Learning显示文摘Opportunistic Networks(OppNets)is gaining popularity day-by-day due to their various applications in the real-life world.The two major reasons for its popularity are its suitability to be established without any requirement of additional infrastructure and the ability to tolerate long delays during data communication.Opportunistic Network is also considered as a descendant of Mobile Ad hoc Networks(Manets)and Wireless Sensor Networks(WSNs),therefore,it inherits most of the traits from both mentioned networking techniques.Apart from its popularity,Opportunistic Networks are also starting to face challenges nowadays to comply with the emerging issues of the large size of data to be communicated and blind forwarding of data among participating nodes in the network.These issues lower the overall performance of the network.Keeping this thing in mind,ML-Fresh-a novel framework has been proposed in this paper which focuses to overcome the issue of blind forwarding of data by maintaining an optimum path between any pair of participating nodes available in the OppNet using machine learning techniques viz.pattern prediction,decision tree prediction,adamic-adar method for complex networks.Apart from this,ML-Fresh also uses the history of successful encounters between a pair of communicating nodes for route prediction in the background.Simulation results prove that the ML-Fresh outperforms the existing framework of Opportunistic Networks on the grounds of standard Quality-of-Service(QoS)parameters. | Puneet Garg Ashutosh Dixit Preeti Sethi | 2022 | Computer Systems Science & Engineering2022，40，2： | 0 |
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