Sonal Varma
Queen's University
20 Papers
29 Citations
Sonal Varma is an academic researcher from Queen's University. The author has contributed to research in topics: Breast cancer & Medicine. The author has an hindex of 8, co-authored 15 publications. Previous affiliations of Sonal Varma include National Research Council & University of Manitoba.
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Papers
Intravital imaging reveals systemic ezrin inhibition impedes cancer cell migration and lymph node metastasis in breast cancer
Abdi Ghaffari,Victoria Hoskin,Gulisa Turashvili,Sonal Varma,Jeff Mewburn,Graeme Mullins,Peter A. Greer,Friedemann Kiefer,Andrew G. Day,Yolanda Madarnas,Sandip SenGupta,Bruce E. Elliott +11 more
TL;DR: It is shown that ezrin is expressed at significantly higher levels in lymph node metastases compared to matched primary tumors, and that a high tumor eZrin level is associated with increased risk of relapse in BC patients with regional disease.
Automated Quantitative Analysis of p53, Cyclin D1, Ki67 and pERK Expression in Breast Carcinoma Does Not Differ from Expert Pathologist Scoring and Correlates with Clinico-Pathological Characteristics
Jamaica Cass,Sonal Varma,Andrew G. Day,Waheed Sangrar,Ashish B. Rajput,Leda Raptis,Jeremy A. Squire,Yolanda Madarnas,Sandip SenGupta,Bruce E. Elliott +9 more
TL;DR: In this paper, the authors assess the reliability of automated immunohistochemistry (IHC) scoring compared to manual scoring of five selected biomarkers in a tissue microarray (TMA) of 63 human breast cancer cases, and correlate these markers with clinico-pathological data.
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Histokt: Cross Knowledge Transfer in Computational Pathology
Ryan X. Zhang,Jiadai Zhu,Stephen Yang,Mahdi Hosseini,Angelo Genovese,Lina Chen,Corwyn Rowsell,Savvas Damaskinos,Sonal Varma,Konstantinos N. Plataniotis +9 more
- 27 Jan 2022
TL;DR: This paper creates a standardization workflow for aggregating existing histopathological data, and uses weight distillation to share knowledge between models without additional training, finding that hard to learn, multi-class datasets benefit most from pretraining, and a two stage learning framework incorporating a large source domain such as ImageNet allows for better utilization of smaller datasets.
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Potential of Magnetic Resonance Spectroscopy in Assessing the Effect of Fatty Acids on Inflammatory Bowel Disease in an Animal Model
Sonal Varma,Sonal Varma,Sonal Varma,Michael N. A. Eskin,Ranjana P. Bird,Brion Dolenko,Jayadev Raju,Omkar B. Ijare,Tedros Bezabeh,Tedros Bezabeh +9 more
TL;DR: 1H MRS is capable of identifying the biochemical changes in the colonic tissue as a result of inflammation, and when combined with SCS, this technique accurately differentiated the inflamed colonic mucosa based on the severity of the inflammation, indicating that MRS could serve as a valuable adjunct to histology in accurately assessing colonic inflammation.
STAT5A is regulated by DNA damage via the tumor suppressor p53.
Utpal K. Mukhopadhyay,Jamaica Cass,Leda Raptis,Andrew W.B. Craig,Véronique Bourdeau,Sonal Varma,Sandip SenGupta,Bruce E. Elliott,Gerardo Ferbeyre +8 more
TL;DR: It is reported that the STAT5A transcription factor is a direct p53 transcriptional target gene, and an unexpected connection between cytokine signaling and p53 is revealed, likely reflecting a high frequency of p53 mutations that stabilize the protein in these tumors.
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