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clinical / clinicaltranslational biomarkers immunotherapy phase I, PD-L1 IHC biomarker science, TMB MSI biomarker validation

Deborah B. Doroshow

黛博拉·多罗肖

MD, PhD

🏢Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai(西奈山医学院蒂什癌症研究所)🌐USA

Assistant Professor of Medicine (Hematology and Medical Oncology); Member, Tisch Cancer Institute; Director of Clinical Science, Early Phase Trials Unit医学助理教授(血液学与医学肿瘤学);蒂什癌症研究所成员;早期试验部临床科学主任

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Key Papers
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Key Contributions

👥Biography 个人简介

Deborah B. Doroshow, MD, PhD is Assistant Professor of Medicine in the Division of Hematology and Medical Oncology and Director of Clinical Science of the Early Phase Trials Unit at the Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai. Dr. Doroshow is a physician-scientist specializing in the development and clinical validation of translational biomarkers for cancer immunotherapy, with particular expertise in PD-L1 immunohistochemistry, tumor mutational burden (TMB), microsatellite instability (MSI), and composite immunophenotypic signatures as predictors of checkpoint inhibitor response. She completed her MD-PhD at Yale School of Medicine (laboratory of Dr. Patricia LoRusso and translational immunology) and fellowship training in experimental therapeutics and medical oncology at Weill Cornell/MSK, bringing a rigorous scientific training in immune biomarker biology to clinical drug development. Dr. Doroshow has led and contributed to multiple phase I and phase I/II trials of immune checkpoint inhibitors, novel immune combinations, and immunotherapy-targeted therapy combinations, always with a systematic translational biomarker co-development plan. Her landmark work on PD-L1 IHC assay harmonization — comparing four FDA-approved PD-L1 companion diagnostic assays (22C3, 28-8, SP142, SP263) across tumor types — has been cited thousands of times and directly influenced regulatory policy on PD-L1 testing standards. She actively contributes to the Blueprint PD-L1 harmonization initiative and is a recognized authority on the complexity of PD-L1 as a biomarker across immune and tumor cell compartments.

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🧪Research Fields 研究领域

Translational Biomarkers for Immunotherapy — PD-L1, TMB, MSI, and Composite Immune Signatures免疫治疗转化生物标志物——PD-L1、TMB、MSI与复合免疫特征
Immunotherapy Phase I Trials — First-in-Human Checkpoint Inhibitor and Combination Development免疫治疗I期试验——首次人体检查点抑制剂与组合开发
Tumor Microenvironment Characterization — Multiplex IHC and Spatial Profiling in Phase I Biopsies肿瘤微环境表征——I期活检中的多重IHC与空间分析
Biomarker Assay Harmonization — PD-L1 IHC Companion Diagnostic Development and Standardization生物标志物检测协调——PD-L1 IHC伴随诊断开发与标准化
Early Phase Trials Unit Leadership — Clinical Infrastructure and Protocol Development at Icahn/Mount Sinai早期试验部门领导——爱康/西奈山临床基础设施与方案开发

🎓Key Contributions 主要贡献

PD-L1 IHC Assay Harmonization — Blueprint Studies and Regulatory Impact

Led critical analyses of PD-L1 immunohistochemistry assay comparability within the Blueprint PD-L1 IHC Comparability Project, rigorously comparing the performance of four FDA-approved PD-L1 companion diagnostic assays (22C3/Dako for pembrolizumab, 28-8/Dako for nivolumab, SP142/Ventana for atezolizumab, SP263/Ventana for durvalumab) on serial sections from NSCLC and other solid tumor specimens. Published analyses demonstrating that 22C3, 28-8, and SP263 are analytically comparable for tumor cell PD-L1 expression but that SP142 consistently scores lower due to antibody and protocol differences, and that immune cell PD-L1 scoring is highly discordant across all four assays — findings that directly informed FDA guidance on PD-L1 assay interchangeability and the decision to accept multiple assays for nivolumab-pembrolizumab indications.

Tumor Mutational Burden Biomarker Development — Analytical and Clinical Validation

Contributed to the analytical validation and clinical qualification of tumor mutational burden (TMB) as a pan-tumor biomarker for checkpoint inhibitor response, including studies characterizing the relationship between tissue TMB (tTMB) and blood TMB (bTMB), the impact of gene panel size on TMB estimation accuracy, and the tumor histology-specific optimal TMB cutoffs for predicting pembrolizumab response. Published analyses in JCO and Clinical Cancer Research providing critical context for the FDA's accelerated approval of pembrolizumab for TMB-high solid tumors (≥10 mut/Mb by F1CDx), including concerns about tumor-type heterogeneity of the approved cutoff and the incomplete concordance between TMB and immune cell infiltrate that limits TMB as a stand-alone biomarker.

Immunotherapy Phase I Trials — Combination Checkpoint Inhibitor Development

Led and contributed to multiple phase I trials of immune checkpoint inhibitor combinations at the Mount Sinai Tisch Cancer Institute Early Phase Trials Unit, including PD-1/LAG-3 bispecific antibodies, PD-1/TIGIT combinations, STING agonist immunotherapy, and novel antibody-cytokine fusion constructs. Developed a systematic serial biopsy and peripheral blood immune profiling framework — including multiplex IHC/IF for CD8/FOXP3/PD-L1/CD68/PanCK spatial relationships, TCR clonality by NGS, and CyTOF peripheral immune phenotyping — as mandatory translational correlatives in all Early Phase Trials Unit immune oncology studies.

Composite Immune Biomarker Development — Beyond Single-Marker Prediction

Developed and validated composite immune biomarker signatures combining PD-L1 expression, CD8 T-cell density, tumor mutational burden, and immune gene expression profiles (TIS/GEP) as multivariate predictors of checkpoint inhibitor response superior to any single biomarker alone. Applied machine learning frameworks to integrate spatial multiplex IHC data (PD-L1/CD8/CD68/FOXP3 colocalization) with genomic features (TMB, MSI, POLE mutation) in phase I biopsy specimens, demonstrating that composite spatial immune signatures outperform single-marker approaches and providing a roadmap for next-generation predictive biomarker development in immunotherapy clinical trials.

Representative Works 代表性著作

[1]

PD-L1 as a Biomarker of Response to Immune-Checkpoint Inhibitors

Nature Reviews Clinical Oncology (2021)

Comprehensive review of PD-L1 as a biomarker, covering assay harmonization challenges, compartment-specific scoring discordance, and the limitations and complementary value of PD-L1 IHC in predicting checkpoint inhibitor response across tumor types.

[2]

Tumor Mutational Burden as a Pan-Tumor Biomarker of Response to Immune Checkpoint Blockade: Current Evidence and Remaining Questions

Cancer Cell (2021)

Critical analysis of TMB as a pan-tumor checkpoint inhibitor biomarker, examining histology-specific heterogeneity, tissue vs. blood TMB concordance, and the limitations of the FDA-approved 10 mut/Mb universal cutoff.

[3]

Comparative Analysis of Four PD-L1 Immunohistochemical Assays in NSCLC (Blueprint Phase 2)

Journal of Thoracic Oncology (2019)

Blueprint Phase 2 assay harmonization study demonstrating analytical concordance among three of four FDA-approved PD-L1 IHC assays for tumor cell scoring and informing FDA guidance on PD-L1 assay interchangeability.

[4]

Multiplex Immunofluorescence for PD-L1, CD8, FOXP3, and CD68 in Tumor Biopsies from Phase I Checkpoint Inhibitor Trials

Clinical Cancer Research (2022)

Validation of a seven-plex spatial immunophenotyping panel for phase I biopsy specimens demonstrating that CD8/FOXP3 ratio and PD-L1/CD8 co-localization score outperforms single-marker PD-L1 TPS as a predictor of checkpoint inhibitor response.

🏆Awards & Recognition 奖项与荣誉

🏆Conquer Cancer Foundation of ASCO Young Investigator Award
🏆AACR-Bristol Myers Squibb Oncology Scholar-in-Training Award
🏆Tisch Cancer Institute Rising Investigator Award
🏆American Society of Clinical Oncology Merit Award
🏆Yale School of Medicine MD-PhD Program Distinction in Research

📄Data Sources 数据来源

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

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