A key feature of clinically effective human anti-tumor immunity is the ability to raise T cell responses that are strong and exquisitely tumor-specific and, to overcome immune escape and tumor heterogeneity, simultaneously target multiple antigens. Despite the critical importance of the tumor-targeted, antigen-specific T cell, the enormous heterogeneity of T cell populations and the complexity of the T cell receptor (TCR) locus have presented technical challenges to the systematic characterization of antigen-specific T cell immunity. In particular, only limited tools are available to evaluate the key molecular signatures of this cell - the specific TCR molecule (which requires paired TCR? and TCR? chains for epitope recognition) and the phenotype defining pattern of immune pathway-related expressed genes - at the individual cell level rather than the broad population level. The Broad Technology Laboratories (BTL) have recently developed an innovative single cell bar-coded droplet-based (SCBD) sequencing technology that dramatically expands the number of T cells that can be individually examined for TCR gene identification (as well as for other immune markers). This engineered droplet emulsion approach is uniquely equipped to meet the challenge of the highly diverse T cell repertoire. Building on studies from the parent grant (1RO1 CA 155010-03) that have pioneered the characterization of personal tumor neoantigens, the proposed grant will take a critical and complementary step forward by characterizing in detail the T cell population responding to neoantigens.
Aim 1 will unlock the potential of this technology by demonstrating that the variable sequences of paired TCR? and TCR? chains targeting a known antigen can be reliably and accurately identified from complex T cell mixtures.
Aim 2 will show that the technology can be used to identify specific TCR pairs and their molecular targets from patients that have been vaccinated with a complex immunogen (whole irradiated tumor cells). The experimental approach described here is more reliable than previous methods as it does not depend on variable T cell culture techniques, and is more unbiased because it does not depend on specific predictions of peptides binding to specific HLAs. Importantly, this approach uses small numbers of input T cells and thus can be used for precious patient samples. These proof-of-concept studies are anticipated to lay the foundation for developing a path for systemically evaluating, in conjunction with next-generation DNA and RNA sequencing of tumor samples, the antigen-specificity of T cell responses of patients from vaccination and other immunotherapy trials. This platform is anticipated to be generalizable across any human disease setting in which TCR repertoire and antigen specificity information is needed.

Public Health Relevance

Cancer immunotherapy has been demonstrated to provide remarkable clinical benefit. Much of its potency arises from patient T cells precisely targeting th tumor for destruction. Using an innovative technology developed by our colleagues at the Broad Institute allowing single cell analysis with unprecedented sensitivity and specificity, it is now conceivable to find the molecules (called T cell receptors) present on individual T cells that account for the clinically-relevant targeting of tumors. The proposed work will build upon recent results demonstrating tumor-specific T cell responses of patients with a cancer, chronic lymphocytic leukemia (CLL) following whole tumor cell vaccination (described in the parent grant). We will adapt this ultra-high throughput single cell approach to find and characterize CLL-specific T cells and identify the molecular basis for their response. This approach is applicable across multiple human immune disease settings since T cells are essential for immune function.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Research Project (R01)
Project #
Application #
Study Section
Special Emphasis Panel (ZRG1-CB-R (50))
Program Officer
Mccarthy, Susan A
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Dana-Farber Cancer Institute
United States
Zip Code
Shukla, Sachet A; Bachireddy, Pavan; Schilling, Bastian et al. (2018) Cancer-Germline Antigen Expression Discriminates Clinical Outcome to CTLA-4 Blockade. Cell 173:624-633.e8
Iorgulescu, J Bryan; Braun, David; Oliveira, Giacomo et al. (2018) Acquired mechanisms of immune escape in cancer following immunotherapy. Genome Med 10:87
Braun, David A; Wu, Catherine J (2017) Antigen Discovery and Therapeutic Targeting in Hematologic Malignancies. Cancer J 23:115-124
Robertson, A Gordon; Kim, Jaegil; Al-Ahmadie, Hikmat et al. (2017) Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer. Cell 171:540-556.e25
Abelin, Jennifer G; Keskin, Derin B; Sarkizova, Siranush et al. (2017) Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction. Immunity 46:315-326
Shukla, Sachet A; Howitt, Brooke E; Wu, Catherine J et al. (2017) Predicted neoantigen load in non-hypermutated endometrial cancers: Correlation with outcome and tumor-specific genomic alterations. Gynecol Oncol Rep 19:42-45
Edelmann, J; Tausch, E; Landau, D A et al. (2017) Frequent evolution of copy number alterations in CLL following first-line treatment with FC(R) is enriched with TP53 alterations: results from the CLL8 trial. Leukemia 31:734-738
George, Suzanne; Miao, Diana; Demetri, George D et al. (2017) Loss of PTEN Is Associated with Resistance to Anti-PD-1 Checkpoint Blockade Therapy in Metastatic Uterine Leiomyosarcoma. Immunity 46:197-204
Kipps, Thomas J; Stevenson, Freda K; Wu, Catherine J et al. (2017) Chronic lymphocytic leukaemia. Nat Rev Dis Primers 3:16096
Purroy, Noelia; Wu, Catherine J (2017) Coevolution of Leukemia and Host Immune Cells in Chronic Lymphocytic Leukemia. Cold Spring Harb Perspect Med 7:

Showing the most recent 10 out of 47 publications