Cecily Claire Ritch
About
Biography
Cecily (Claire) Ritch is a first year MD-PhD student with an interest in cancer immunology from Eustis, Florida. In 2018, Claire graduated from Georgia Institute of Technology with a B.S. in Biomedical Engineering and minor in Chemistry. At Georgia Tech, she first fell in love with cancer research where she worked under Dr. Mostafa El-Sayed and Dr. Balakrishna Pai.
After graduation, she ventured to the northeast where she became dually affiliated with Sandro Santagata’s Lab at Brigham and Women’s Hospital and Peter Sorger’s Laboratory Systems of Pharmacology at Harvard Medical School. Claire’s primary research focus was on using tissue-based cyclic immunofluorescence (t-CyCIF) and genetically engineered mouse models (GEMMs) to better characterize the spatial features of the tumor microenvironment (TME).
Using this platform, she was able to create high dimensional spatial maps of the TME allowing her to explore both cell-cell and immune network interactions using neighborhood analysis techniques. Pairing CyCIF with tractable mouse models has enabled her to understand how genetic perturbations and novel therapies alter the immune response in a controlled manner and elucidate the mechanisms by which tumors evade immune surveillance. She has been able to translate what she has found within these mouse models directly to clinical trial samples. Claire is also proficient in Python, MATLAB, R, and Bash.
In her free time, she loves to bake, play the guitar, and go to concerts.
Education & Training
- BS
- Georgia Institute of Technology, Biomedical Engineering (2018)
Research
Research at a Glance
Publications Timeline
Publications
2024
Cell state dependent effects of Bmal1 on melanoma immunity and tumorigenicity.
Zhang X, Pant SM, Ritch CC, Tang HY, Shao H, Dweep H, Gong YY, Brooks R, Brafford P, Wolpaw AJ, Lee Y, Weeraratna A, Sehgal A, Herlyn M, Kossenkov A, Speicher D, Sorger PK, Santagata S, Dang CV. Cell state dependent effects of Bmal1 on melanoma immunity and tumorigenicity. Nat Commun 2024, 15: 633. PMID: 38245503, DOI: 10.1038/s41467-024-44778-2.Peer-Reviewed Original Research In Press
2023
Lymphocyte networks are dynamic cellular communities in the immunoregulatory landscape of lung adenocarcinoma
Gaglia G, Burger M, Ritch C, Rammos D, Dai Y, Crossland G, Tavana S, Warchol S, Jaeger A, Naranjo S, Coy S, Nirmal A, Krueger R, Lin J, Pfister H, Sorger P, Jacks T, Santagata S. Lymphocyte networks are dynamic cellular communities in the immunoregulatory landscape of lung adenocarcinoma. Cancer Cell 2023, 41: 871-886.e10. PMID: 37059105, PMCID: PMC10193529, DOI: 10.1016/j.ccell.2023.03.015.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsAnti-cancer immune responseImmune checkpoint blockade therapyAnti-tumor responseCheckpoint blockade therapyTreatment of miceAnti-cancer functionCell antigen expressionBlockade therapyCytotoxic CD8PD-1Immune surveillanceLung tumorsAntigen expressionImmune responseIntratumoral localizationLung adenocarcinomaMouse modelB cellsCD8Cell populationsLymphocytesTumorsCell clustersProgenitor differentiationCXCR3Visinity: Visual Spatial Neighborhood Analysis for Multiplexed Tissue Imaging Data.
Warchol S, Krueger R, Nirmal AJ, Gaglia G, Jessup J, Ritch CC, Hoffer J, Muhlich J, Burger ML, Jacks T, Santagata S, Sorger PK, Pfister H. Visinity: Visual Spatial Neighborhood Analysis for Multiplexed Tissue Imaging Data. IEEE Trans Vis Comput Graph 2023, 29: 106-116. PMID: 36170403, DOI: 10.1109/TVCG.2022.3209378.Peer-Reviewed Original Research In Press
2022
Single cell spatial analysis reveals the topology of immunomodulatory purinergic signaling in glioblastoma
Coy S, Wang S, Stopka S, Lin J, Yapp C, Ritch C, Salhi L, Baker G, Rashid R, Baquer G, Regan M, Khadka P, Cole K, Hwang J, Wen P, Bandopadhayay P, Santi M, De Raedt T, Ligon K, Agar N, Sorger P, Touat M, Santagata S. Single cell spatial analysis reveals the topology of immunomodulatory purinergic signaling in glioblastoma. Nature Communications 2022, 13: 4814. PMID: 35973991, PMCID: PMC9381513, DOI: 10.1038/s41467-022-32430-w.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsPediatric high-grade gliomasHigh-grade gliomasDiffuse midline gliomaH3K27M-mutant diffuse midline gliomaAstrocyte-like differentiationPoor outcomeInflammatory microenvironmentClinical significanceMidline gliomaTherapeutic targetingMyeloid cellsPurinergic signalingImmune adaptationEGFR amplificationTumor cellsGliomasExtracellular purinergicPurinergicGlioblastomaCD39CD73Functional stateMicroenvironmentMicrogliaCellsScope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data.
Jessup J, Krueger R, Warchol S, Hoffer J, Muhlich J, Ritch CC, Gaglia G, Coy S, Chen YA, Lin JR, Santagata S, Sorger PK, Pfister H. Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data. IEEE Trans Vis Comput Graph 2022, 28: 259-269. PMID: 34606456, DOI: 10.1109/TVCG.2021.3114786.Peer-Reviewed Original Research In Press
2021
Antigen dominance hierarchies shape TCF1(+) progenitor CD8 T cell phenotypes in tumors.
Burger ML, Cruz AM, Crossland GE, Gaglia G, Ritch CC, Blatt SE, Bhutkar A, Canner D, Kienka T, Tavana SZ, Barandiaran AL, Garmilla A, Schenkel JM, Hillman M, de Los Rios Kobara I, Li A, Jaeger AM, Hwang WL, Westcott PMK, Manos MP, Holovatska MM, Hodi FS, Regev A, Santagata S, Jacks T. Antigen dominance hierarchies shape TCF1(+) progenitor CD8 T cell phenotypes in tumors. Cell 2021, 184: 4996-5014.e26. PMID: 34534464, DOI: 10.1016/j.cell.2021.08.020.Peer-Reviewed Original Research In Press