Swetha Vasudevan
Hebrew University of Jerusalem
15 Papers
37 Citations
Swetha Vasudevan is an academic researcher from Hebrew University of Jerusalem. The author has contributed to research in topics: Medicine & Cancer. The author has an hindex of 3, co-authored 10 publications.
Chat about Author
Papers
Drug-Induced Resistance and Phenotypic Switch in Triple-Negative Breast Cancer Can Be Controlled via Resolution and Targeting of Individualized Signaling Signatures.
Swetha Vasudevan,Ibukun Adesoji Adejumobi,Heba Alkhatib,Sangita Roy Chowdhury,Shira Stefansky,Ariel Rubinstein,Nataly Kravchenko-Balasha +6 more
TL;DR: In this paper, the authors examined the relationship between the patient-specific TNBC network structures and possible mechanisms of resistance to anti-EGFR therapy and showed that drug combinations which are not tailored accurately to each PaSSS may generate evolutionary pressure in malignancies leading to an expansion of the previously undetected or untargeted subpopulations, such as ER+ populations.
23
Personalized disease signatures through information-theoretic compaction of big cancer data
Swetha Vasudevan,Efrat Flashner-Abramson,Françoise Remacle,Françoise Remacle,Raphael D. Levine,Raphael D. Levine,Nataly Kravchenko-Balasha +6 more
TL;DR: It is shown that different patients may display similar oncogene expression levels, albeit carrying biologically distinct tumors that harbor different sets of unbalanced molecular processes, which highlights the need to expand the notion of tumor-specific oncogenic biomarkers to patient-specific, comprehensive transcriptional networks for improved patient-tailored diagnostics.
23
Overcoming resistance to BRAFV600E inhibition in melanoma by deciphering and targeting personalized protein network alterations.
Swetha Vasudevan,Efrat Flashner-Abramson,Heba Alkhatib,Sangita Roy Chowdhury,Ibukun Adesoji Adejumobi,D Vilenski,Shira Stefansky,A M Rubinstein,Nataly Kravchenko-Balasha +8 more
- 10 Jun 2021
TL;DR: In this article, the authors proposed an information-theoretic approach to compute high-resolution patient-specific altered signaling signatures, which should all be targeted to optimally inhibit the entire altered signaling flux.
Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
H. Alkhatib,Ariel Rubinstein,Swetha Vasudevan,Efrat Flashner-Abramson,Shira Stefansky,Sangita Roy Chowdhury,S. Oguche,Tamar Peretz-Yablonsky,Avital Granit,Zvi Granot,Ittai Ben-Porath,K. Sheva,Jon Feldman,Noa E. Cohen,Amichay Meirovitz,Nataly Kravchenko-Balasha +15 more
TL;DR: In this article , a single-cell quantification strategy was developed to provide a high-resolution and individualized assessment of tumor composition for a customized treatment approach, which was validated using TNBC models and patient-derived tumors known to switch phenotypes in response to radiotherapy (RT).
Overcoming resistance to EGFR monotherapy in HNSCC by identification and inhibition of individualized cancer processes
Marie Jubran,D. Vilenski,Efrat Flashner-Abramson,E. Shnaĭder,Swetha Vasudevan,Ariel Rubinstein,Amichay Meirovitz,Shay Sharon,David Polak,Nataly Kravchenko-Balasha +9 more
TL;DR: The PaSSS-based approach advances the understanding of how individualized therapies should be tailored to HNSCC tumors by showing that simultaneous targeting of central hub proteins from each altered subnetwork is essential to selectively enhance the response of H NSCC tumors to anti-EGFR therapy and inhibit tumor growth.
11