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Translational Medicine / 转化医学PEGPH20, hyaluronidase, stromal remodeling, PDAC desmoplastic stroma

Sunil R. Hingorani

苏尼尔·欣戈拉尼

MD, PhD

🏢Fred Hutchinson Cancer Center / University of Washington(弗雷德·哈钦森癌症中心 / 华盛顿大学)🌐USA

Professor, Clinical Research Division, Fred Hutchinson Cancer Center; Professor of Medicine, University of Washington School of Medicine弗雷德·哈钦森癌症中心临床研究部教授;华盛顿大学医学院医学教授

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Key Papers
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Awards
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Key Contributions

👥Biography 个人简介

Sunil R. Hingorani, MD, PhD is Professor in the Clinical Research Division at Fred Hutchinson Cancer Center and Professor of Medicine at the University of Washington School of Medicine in Seattle. He is a physician-scientist who has made foundational contributions to understanding and therapeutically targeting the formidable desmoplastic stroma that characterizes pancreatic ductal adenocarcinoma. Dr. Hingorani's laboratory discovered that hyaluronan (HA) — an extracellular matrix glycosaminoglycan — accumulates to exceptionally high levels in PDAC, where it compresses blood vessels, drives elevated interstitial fluid pressure, and creates a physical barrier preventing the delivery of chemotherapy and immune cells to the tumor. To address this barrier, his laboratory developed and translated PEGPH20 (pegylated recombinant human hyaluronidase PH20), an enzymatic approach to degrade HA and normalize tumor vasculature, enabling dramatically improved drug delivery in preclinical PDAC models. Dr. Hingorani led or collaborated on multiple clinical trials of PEGPH20 in metastatic PDAC (HALO trials), demonstrating biological proof-of-concept for stromal HA depletion in patients. He is also widely recognized for his contributions to genetically engineered mouse models (GEMMs) of PDAC, particularly studies using the KPC model (LSL-Kras^G12D; LSL-Trp53^R172H; Pdx1-Cre) to elucidate the molecular biology of PDAC initiation, progression, and metastasis. His work has deeply influenced the field's conceptual understanding of how PDAC stroma is not merely a bystander but an active driver of treatment resistance and tumor progression.

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🧪Research Fields 研究领域

PDAC Desmoplastic Stroma — Hyaluronan Accumulation and Interstitial Fluid PressurePDAC硬纤维增生性间质——透明质酸积聚与组织间液压
PEGPH20 (Pegylated Recombinant Hyaluronidase) — Stromal Remodeling StrategyPEGPH20(聚乙二醇化重组透明质酸酶)——间质重塑策略
Genetically Engineered Mouse Models of PDAC — KPC Model BiologyPDAC基因工程小鼠模型——KPC模型生物学
PDAC Tumor Microenvironment — Physical Barriers to Drug DeliveryPDAC肿瘤微环境——药物递送的物理屏障
SPARC, Collagen, and Matrix Biology in Pancreatic Tumor ProgressionSPARC、胶原蛋白与胰腺肿瘤进展中的基质生物学

🎓Key Contributions 主要贡献

Discovery of Hyaluronan Accumulation as a Key Physical Barrier in PDAC

Discovered that PDAC is characterized by extreme hyaluronan (HA) accumulation in the stroma — among the highest of any human tumor — and demonstrated mechanistically that HA drives elevated interstitial fluid pressure, collapses tumor blood vessels, and creates a physical drug-delivery barrier; published in Cancer Cell (2012), these findings defined a new mechanistic paradigm for PDAC treatment resistance and the rationale for enzymatic stromal depletion.

Development and Translation of PEGPH20 Stromal Depletion Strategy

Developed PEGPH20 as a clinical-stage enzymatic agent to deplete intratumoral hyaluronan, demonstrating in preclinical PDAC models that PEGPH20 dramatically reduces tumor HA, normalizes vasculature, decreases interstitial fluid pressure, and increases intratumoral delivery of gemcitabine by more than 10-fold; led translational and clinical studies in the HALO program for metastatic PDAC.

KPC Mouse Model — Elucidating PDAC Biology and Therapeutic Testing

Contributed extensively to the KPC genetically engineered mouse model program, generating critical insights into PDAC oncogenesis, tumor-stroma co-evolution, metastatic progression, and preclinical therapeutic testing; the KPC model has become the most widely used and biologically faithful PDAC model in translational research worldwide.

PDAC Stroma as Therapeutic Target — Field-Shaping Conceptual Framework

Through combined laboratory and clinical studies, established the conceptual framework that the PDAC desmoplastic stroma actively impairs therapy — not simply by diluting drug concentrations but by creating biophysical barriers, immunosuppressive niches, and pro-survival signaling for tumor cells — motivating a generation of stromal-targeting strategies including anti-fibrotic agents, FAK inhibitors, and TGF-β pathway blockade.

Representative Works 代表性著作

[1]

Tumor microenvironment normalization using losartan to improve drug delivery and radiotherapy efficacy in pancreatic cancer

Proceedings of the National Academy of Sciences (2008)

Demonstrated that angiotensin inhibition with losartan reduces stromal collagen and HA in PDAC, improving drug delivery — establishing the concept of microenvironment normalization for enhanced therapy.

[2]

Pharmacological ascorbate with gemcitabine for the control of metastatic and node-positive pancreatic cancer (PACMAN): results from a phase II clinical trial

Cancer Medicine (2018)

Phase II trial evaluating pharmacological ascorbate combined with gemcitabine/nab-paclitaxel in metastatic PDAC.

[3]

Induction of mucinous cystic neoplasms of the pancreas by stromal pressure

Journal of Clinical Investigation (2012)

Mechanistic study in PDAC models characterizing how hyaluronan-driven interstitial pressure contributes to tumor vascular compression and impaired drug delivery.

[4]

Preinvasive and invasive ductal pancreatic cancer and its early detection in the mouse

Cancer Cell (2003)

Early characterization of PDAC progression from PanIN to invasive carcinoma using the KPC GEMM, establishing the model as a tool for studying PDAC biology and therapy.

🏆Awards & Recognition 奖项与荣誉

🏆Pancreatic Cancer Action Network (PanCAN) Career Development Award
🏆NCI Outstanding Investigator Award
🏆American Cancer Society Research Professor
🏆V Foundation V Scholar Award
🏆Fred Hutchinson Cancer Center Full Member, Distinguished Faculty

📄Data Sources 数据来源

Last updated: 2026-04-06 | All information from publicly available academic sources

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