Gurudutt Gupta
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Gurudutt Gupta has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Anila Sharma
Department of Pathology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
2 shared publications - Meenakshi Kamboj
Department of Pathology, Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, India
2 shared publications - Sunil Pasricha
Department of Oncopathology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
2 shared publications - Ankur Kumar
Department of Pathology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
1 shared publication - Ankush Jajodia
Division of Abdominal Imaging, Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada
1 shared publication - Anurag Mehta
Department of Laboratory Services and Molecular Diagnostics, Rajiv Gandhi Cancer Institute and Research Centre (RGCIRC), India
1 shared publication
Latest Publications
- Open Access
FH deficient uterine leiomyomas-a case series
- 30 December 2022
- Published by Springer Nature in Indian Journal of Gynecologic Oncology
- Vol. 21 (1) , 1-3
Pleomorphic Rhabdomyosarcoma of Uterus in an Adult Female: A Rare Entity
- 30 December 2022
- Published by Springer Nature in Indian Journal of Gynecologic Oncology
- Vol. 21 (1) , 1-3
Pleomorphic Rhabdomyosarcoma of Uterus in an Adult Female: A Rare Entity
- Open Access
- 20 May 2022
- Published by MDPI AG in Tomography
- Vol. 8 (3) , 1363-1373
Analysis of Spatial Heterogeneity of Responses in Metastatic Sites in Renal Cell Carcinoma Patients Treated with Nivolumab
Background: The purpose was to determine whether tumor response to CPI varies by organ and to characterize response patterns in a group of surgically treated metastatic RCC patients treated with Nivolumab. Methods: A retrospective analysis was undertaken between January 2016 and March 2020 on patients receiving Nivolumab for metastatic RCC, following first-line therapy and having at least one baseline and two follow-up scans. A Fisher’s exact test was used to compare categorical variables, and a Kruskal–Wallis test was used to compare continuous variables. Results: Twenty-one out of thirty patients evaluated were eligible, and they were divided into two groups: responders (n = 11) and non-responders (n = 10). According to all iRECIST standards, 18 (85.7 percent) of the 21 patients had PD (10 patients), PR (3 patients), or SD (8 patients). At baseline, 7, 15, 4, 13, 7, and 7 patients, respectively, had detectable hepatic metastasis and lung, brain, lymph node, soft tissue, and other intra-abdominal metastases; these patients were evaluated for organ-specific response. The ORRs for hepatic metastasis and lung, brain, lymph node, soft tissue, adrenals, and other intraperitoneal metastases were correspondingly 10%, 20%, 35%, 0%, and 25%. In total, 13 (61.9%) of them demonstrated varied responses to CPI therapy, with 6 (28.5%) demonstrating intra-organ differential responses. The lymph nodes (35%) had the best objective response (BOR), followed by the adrenals and peritoneum (both 25%), the brain (20%), and the lung (20%). The response rate was highest in adrenal gland lesions (2/4; 50%), followed by lymph nodes (13/19; 68.4 percent) and liver (5/10; 50%), whereas rates were lowest for lesions in the lung (9/25; 36%), intraperitoneal metastases (1/4; 25%), and brain (1/5; 20%). Conclusions: In renal cell carcinoma, checkpoint inhibitors have a variable response at different metastatic sites, with the best response occurring in lymph nodes and the least occurring in soft tissue.
- 20 May 2022
- Published by MDPI AG in Tomography
- Vol. 8 (3) , 1363-1373
Open AccessAnalysis of Spatial Heterogeneity of Responses in Metastatic Sites in Renal Cell Carcinoma Patients Treated with Nivolumab
Background: The purpose was to determine whether tumor response to CPI varies by organ and to characterize response patterns in a group of surgically treated metastatic RCC patients treated with Nivolumab. Methods: A retrospective analysis was undertaken between January 2016 and March 2020 on patients receiving Nivolumab for metastatic RCC, following first-line therapy and having at least one baseline and two follow-up scans. A Fisher’s exact test was used to compare categorical variables, and a Kruskal–Wallis test was used to compare continuous variables. Results: Twenty-one out of thirty patients evaluated were eligible, and they were divided into two groups: responders (n = 11) and non-responders (n = 10). According to all iRECIST standards, 18 (85.7 percent) of the 21 patients had PD (10 patients), PR (3 patients), or SD (8 patients). At baseline, 7, 15, 4, 13, 7, and 7 patients, respectively, had detectable hepatic metastasis and lung, brain, lymph node, soft tissue, and other intra-abdominal metastases; these patients were evaluated for organ-specific response. The ORRs for hepatic metastasis and lung, brain, lymph node, soft tissue, adrenals, and other intraperitoneal metastases were correspondingly 10%, 20%, 35%, 0%, and 25%. In total, 13 (61.9%) of them demonstrated varied responses to CPI therapy, with 6 (28.5%) demonstrating intra-organ differential responses. The lymph nodes (35%) had the best objective response (BOR), followed by the adrenals and peritoneum (both 25%), the brain (20%), and the lung (20%). The response rate was highest in adrenal gland lesions (2/4; 50%), followed by lymph nodes (13/19; 68.4 percent) and liver (5/10; 50%), whereas rates were lowest for lesions in the lung (9/25; 36%), intraperitoneal metastases (1/4; 25%), and brain (1/5; 20%). Conclusions: In renal cell carcinoma, checkpoint inhibitors have a variable response at different metastatic sites, with the best response occurring in lymph nodes and the least occurring in soft tissue.