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Kohale, Ishwar N.

https://orcid.org/0000-0001-8225-1740

Mayo Clinic

Koch Institute for Integrative Cancer Research At MIT

Citations 3

Identification of Src Family Kinases as Potential Therapeutic Targets for Chemotherapy-Resistant Triple Negative Breast Cancer
Kohale, Ishwar N. , Yu, Jia , Zhuang, Yongxian , Fan, Xiaoyang , Reddy, Raven J. , Carter, Jodi M. , Goetz, Matthew P. , Wang, Liewei , White, Forest M. , Sinnwell, Jason, White, Forest M , Goetz, Matthew P , Carter, Jodi , Sinnwell, Jason P. , Kalari, Krishna R. , Boughey, Judy C.

Cancers | August 30, 2022 | Volume: 14 | Issue: 17 | Pages: 4220

10.3390/cancers14174220 Get It

Neoadjuvant chemotherapy (NAC) remains the cornerstone of the treatment for triple negative breast cancer (TNBC), with the goal of complete eradication of disease. However, for patients with residual disease after NAC, recurrence and mortality rates are high and the identification of novel therapeutic targets is urgently needed. We quantified tyrosine phosphorylation (pTyr)-mediated signaling networks in chemotherapy sensitive (CS) and resistant (CR) TNBC patient-derived xenografts (PDX), to gain novel therapeutic insights. The antitumor activity of SFK inhibition was examined in vivo. Treated tumors were further subjected to phosphoproteomic and RNAseq analysis, to identify the mechanism of actions of the drug. We identified Src Family Kinases (SFKs) as potential therapeutic targets in CR TNBC PDXs. Treatment with dasatinib, an FDA approved SFK inhibitor, led to inhibition of tumor growth in vivo. Further analysis of post-treatment PDXs revealed multiple mechanisms of actions of the drug, confirming the multi-target inhibition of dasatinib. Analysis of pTyr in tumor specimens suggested a low prevalence of SFK-driven tumors, which may provide insight into prior clinical trial results demonstrating a lack of dasatinib antitumor activity in unselected breast cancer patients. Taken together, these results underscore the importance of pTyr characterization of tumors, in identifying new targets, as well as stratifying patients based on their activated signaling networks for therapeutic options. Our data provide a strong rationale for studying SFK inhibitors in biomarker-selected SFK-driven TNBC.
Multimodal platform for assessing drug distribution and response in clinical trials
Lopez, Begoña G C, Kohale, Ishwar N. , Du, Ziming , Korsunsky, Ilya , Dai, Yang , Gaglia, Giorgio , Randall, Elizabeth C., Clark, Amanda R. , Marin, Bianca M. , Mladek, Ann C. , Agar, Jeffrey N. , Supko, Jeffrey G. , Wen, Patrick Y. , Lee, Eudocia Q. , Agar, Nathalie Y.R. , Marin, Bianca-Maria, Burgenske, Danielle M. , Grossman, Stuart A , Santagata, Sandro , Sarkaria, Jann, Agar, Nathalie Y R , Marin, Bianca M , Mladek, Ann C , Lopez, Begoña G C, Abdelmoula, Walid M. , Stopka, Sylwia A. , Regan, Michael S. , Basu, Sankha S. , Grossman, Stuart A. , Nabors, Burt , Raychaudhuri, Soumya , Ligon, Keith L , Wen, Patrick Yung , Alexander, Brian M. , Sarkaria, Jann N. , White, Forest M.

Neuro-Oncology | August 11, 2021 | Volume: 24 | Issue: 1 | Pages: 64-77

10.1093/neuonc/noab197 Get It

Abstract Background Response to targeted therapy varies between patients for largely unknown reasons. Here, we developed and applied an integrative platform using mass spectrometry imaging (MSI), phosphoproteomics, and multiplexed tissue imaging for mapping drug distribution, target engagement, and adaptive response to gain insights into heterogeneous response to therapy. Methods Patient-derived xenograft (PDX) lines of glioblastoma were treated with adavosertib, a Wee1 inhibitor, and tissue drug distribution was measured with MALDI-MSI. Phosphoproteomics was measured in the same tumors to identify biomarkers of drug target engagement and cellular adaptive response. Multiplexed tissue imaging was performed on sister sections to evaluate spatial co-localization of drug and cellular response. The integrated platform was then applied on clinical specimens from glioblastoma patients enrolled in the phase 1 clinical trial. Results PDX tumors exposed to different doses of adavosertib revealed intra- and inter-tumoral heterogeneity of drug distribution and integration of the heterogeneous drug distribution with phosphoproteomics and multiplexed tissue imaging revealed new markers of molecular response to adavosertib. Analysis of paired clinical specimens from patients enrolled in the phase 1 clinical trial informed the translational potential of the identified biomarkers in studying patient’s response to adavosertib. Conclusions The multimodal platform identified a signature of drug efficacy and patient-specific adaptive responses applicable to preclinical and clinical drug development. The information generated by the approach may inform mechanisms of success and failure in future early phase clinical trials, providing information for optimizing clinical trial design and guiding future application into clinical practice.
Quantitative Analysis of Tyrosine Phosphorylation from FFPE Tissues Reveals Patient-Specific Signaling Networks
Kohale, Ishwar N. , Mladek, Ann C. , Kuang, Jenevieve , Boughey, Judy C. , Wang, Liewei , Carter, Jodi M. , Haura, Eric B. , Goetz, Matthew P. , Burgenske, Danielle M. , Bakken, Katrina K. , Boughey, JC , Goetz, Matthew P , Mladek, Ann C , Carter, Jodi , Sarkaria, Jann N. , White, Forest M.

Cancer Research | May 20, 2021 | Volume: 81 | Issue: 14 | Pages: 3930-3941

10.1158/0008-5472.can-21-0214 Get It

Abstract Human tissue samples commonly preserved as formalin-fixed paraffin-embedded (FFPE) tissues after diagnostic or surgical procedures in the clinic represent an invaluable source of clinical specimens for in-depth characterization of signaling networks to assess therapeutic options. Tyrosine phosphorylation (pTyr) plays a fundamental role in cellular processes and is commonly dysregulated in cancer but has not been studied to date in FFPE samples. In addition, pTyr analysis that may otherwise inform therapeutic interventions for patients has been limited by the requirement for large amounts of frozen tissue. Here we describe a method for highly sensitive, quantitative analysis of pTyr signaling networks, with hundreds of sites quantified from one to two 10-μm sections of FFPE tissue specimens. A combination of optimized magnetic bead–based sample processing, optimized pTyr enrichment strategies, and tandem mass tag multiplexing enabled in-depth coverage of pTyr signaling networks from small amounts of input material. Phosphotyrosine profiles of flash-frozen and FFPE tissues derived from the same tumors suggested that FFPE tissues preserve pTyr signaling characteristics in patient-derived xenografts and archived clinical specimens. pTyr analysis of FFPE tissue sections from breast cancer tumors as well as lung cancer tumors highlighted patient-specific oncogenic driving kinases, indicating potential targeted therapies for each patient. These data suggest the capability for direct translational insight from pTyr analysis of small amounts of FFPE tumor tissue specimens. Significance: This study reports a highly sensitive method utilizing FFPE tissues to identify dysregulated signaling networks in patient tumors, opening the door for direct translational insights from FFPE tumor tissue banks in hospitals.