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Hibshoosh, Hanina

0000-0001-9688-4514

Mayo Clinic

Columbia University Irving Medical Center

Citations 2

Tumor Explants Elucidate a Cascade of Paracrine SHH, WNT, and VEGF Signals Driving Pancreatic Cancer Angiosuppression
Hasselluhn, Marie C. , Decker-Farrell, Amanda R. , Vlahos, Lukas , Thomas, Dafydd H. , Curiel‐García, Álvaro , Maurer, H. Carlo , Wasko, Urszula N. , Tomassoni, Lorenzo , Sastra, Stephen A. , Palermo, Carmine F. , Dalton, Tanner C. , Ma, Alice , Li, Fangda , Tolosa, Ezequiel J. , Fernández-Zapico, Martín E. , Hibshoosh, Hanina , Fernandez-Zapico, Martin E , Muir, Alexander , Califano, Andrea , Olive, Kenneth P

Cancer Discovery | November 15, 2023 | Volume: 14 | Issue: 2 | Pages: 348-361

10.1158/2159-8290.cd-23-0240 Get It

Abstract The sparse vascularity of pancreatic ductal adenocarcinoma (PDAC) presents a mystery: What prevents this aggressive malignancy from undergoing neoangiogenesis to counteract hypoxia and better support growth? An incidental finding from prior work on paracrine communication between malignant PDAC cells and fibroblasts revealed that inhibition of the Hedgehog (HH) pathway partially relieved angiosuppression, increasing tumor vascularity through unknown mechanisms. Initial efforts to study this phenotype were hindered by difficulties replicating the complex interactions of multiple cell types in vitro. Here we identify a cascade of paracrine signals between multiple cell types that act sequentially to suppress angiogenesis in PDAC. Malignant epithelial cells promote HH signaling in fibroblasts, leading to inhibition of noncanonical WNT signaling in fibroblasts and epithelial cells, thereby limiting VEGFR2-dependent activation of endothelial hypersprouting. This cascade was elucidated using human and murine PDAC explant models, which effectively retain the complex cellular interactions of native tumor tissues. Significance: We present a key mechanism of tumor angiosuppression, a process that sculpts the physiologic, cellular, and metabolic environment of PDAC. We further present a computational and experimental framework for the dissection of complex signaling cascades that propagate among multiple cell types in the tissue environment. This article is featured in Selected Articles from This Issue, p. 201
Standardizing Pathologic Evaluation of Breast Carcinoma After Neoadjuvant Chemotherapy
Sahoo, Sunati , Krings, Gregor , Chen, Yunn‐Yi , Carter, Jodi M. , Chen, Beiyun, Guo, Hua , Reisenbichler, Emily , Fan, Fang , Wei, Shi, Khazai, Laila , Klein, Molly, Shad, Sonal , Venters, Sara J., Borowsky, Alexander D. , Symmans, W. Fraser , Ocal, Idris Tolgay, Ocal, I Tolgay, Symmans, W Fraser , Carter, Jodi , Hibshoosh, Hanina , Balassanian, Ronald

Archives of Pathology & Laboratory Medicine | August 17, 2022 | Volume: 147 | Issue: 5 | Pages: 591-603

10.5858/arpa.2022-0021-ep Get It

Context.— Neoadjuvant systemic therapy refers to the use of systemic agent(s) for malignancy prior to surgical treatment and has recently emerged as an option for most breast cancer patients eligible for adjuvant systemic therapy. Consequently, treated breast carcinomas have become routine specimens in pathology practices. A standard protocol has not yet been universally adopted for the evaluation and reporting of these specimens. The American Joint Committee on Cancer staging system recognizes the challenges in staging breast carcinomas after neoadjuvant treatment and provides important data points but does not currently provide detailed guidance in estimating the residual tumor burden in the breast and lymph nodes. The Residual Cancer Burden system is the only Web-based system that quantifies treatment response as a continuous variable using residual tumor burden in the breast and the lymph nodes. Objective.— To provide clarifications and guidance for evaluation and reporting of postneoadjuvant breast specimens, discuss issues with the current staging and reporting systems, and provide specific suggestions for future modifications to the American Joint Committee on Cancer system and the Residual Cancer Burden calculator. Data Sources.— English-language literature on the subject and the data from the I-SPY 2, a multicenter, adaptive randomization phase 2 neoadjuvant platform trial for early-stage, high-risk breast cancer patients. Conclusions.— This article highlights challenges in the pathologic evaluation and reporting of treated breast carcinomas and provides recommendations and clarifications for pathologists and clinicians. It also provides specific recommendations for staging and discusses future directions.