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  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 15_Supplement ( 2015-08-01), p. 2847-2847
    Abstract: Targeted therapies, such as erlotinib and imatinib, lead to dramatic clinical responses, but the emergence of resistance presents a significant challenge. Recent studies have revealed intratumoral heterogeneity as a potential source for the emergence of therapeutic resistance. However, it is still unclear if relapse/resistance is driven predominantly by pre-existing or de novo acquired alterations. To address this question, we developed a high-complexity barcode library, ClonTracer, which contains over 27 million unique DNA barcodes and thus enables the high resolution tracking of cancer cells under drug treatment. Using this library in two clinically relevant resistance models, we demonstrate that the majority of resistant clones pre-exist as rare subpopulations that become selected in response to therapeutic challenge. Furthermore, our data provide direct evidence that both genetic and non-genetic resistance mechanisms pre-exist in cancer cell populations. The ClonTracer barcoding strategy, together with mathematical modeling, enabled us to quantitatively dissect the frequency of drug-resistant subpopulations and evaluate the impact of combination treatments on the clonal complexity of these cancer models. Hence, monitoring of clonal diversity in drug-resistant cell populations by the ClonTracer barcoding strategy described here may provide a valuable tool to optimize therapeutic regimens towards the goal of curative cancer therapies. Citation Format: Hyo-eun C. Bhang, David A. Ruddy, Viveksagar Krishnamurthy Radhakrishna, Rui Zhao, Iris Kao, Daniel Rakiec, Pamela Shaw, Marissa Balak, Justina X. Caushi, Elizabeth Ackley, Nicholas Keen, Michael R. Schlabach, Michael Palmer, William R. Sellers, Franziska Michor, Vesselina G. Cooke, Joshua M. Korn, Frank Stegmeier. High complexity barcoding to study clonal dynamics in response to cancer therapy. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2847. doi:10.1158/1538-7445.AM2015-2847
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. CT079-CT079
    Abstract: Background: Programmed death-1 (PD-1) blocking antibodies improve survival in patients with advanced non-small-cell lung cancer (NSCLC) but have not been tested in resectable NSCLC, where little progress has been made over the last decade. Methods: Adults with untreated surgically resectable stage I-IIIA NSCLC received two doses of nivolumab (anti-PD-1) preoperatively. The primary endpoints of the study were safety and feasibility. Tumor pathologic response, PD-L1 expression, mutation burden and mutation-associated neoantigen-specific T-cell responses were evaluated. Results: Neoadjuvant nivolumab was had an acceptable side effect profile without surgical delays, and 20 of 21 tumors were completely resected. Major pathologic response occurred in 45% (9/20) of resected tumors. Responses occurred in both PD-L1 positive and negative tumors. Pathologic response significantly correlated with pre-treatment tumor somatic mutation burden. T-cell clones shared between the tumor and peripheral blood increased systemically upon anti-PD-1 treatment in 8 of 9 patients analyzed. Mutation-associated neoantigen-specific T-cell clones, from a primary tumor that underwent pathologic complete response, rapidly expanded in peripheral blood at 2-4 weeks post-treatment, some of these clones were not detected before anti-PD-1. Conclusions: Neoadjuvant nivolumab was associated with few side effects, did not delay surgery, and induced major pathologic responses in 45% of resected tumors. Tumor mutation burden is predictive of pathologic response to anti-PD-1. Anti-PD-1 can induce expansion of mutation-associated neoantigen-specific T-cell clones in peripheral blood. [P.M.F., J.E.C., and K.N.S. contributed equally to this work.] Citation Format: Patrick M. Forde, Jamie E. Chaft, Kellie N. Smith, Valsamo Anagnostou, Tricia R. Cottrell, Matthew D. Hellmann, Marianna Zahurak, Stephen C. Yang, David R. Jones, Stephen Broderick, Richard J. Battafarano, Moises J. Velez, Natasha Rekhtman, Zachary Olah, Jarushka Naidoo, Kristen A. Marrone, Franco Verde, Haidan Guo, Jiajia Zhang, Justina X. Caushi, Hok Yee Chan, John-William Sidhom, Robert B. Scharpf, James White, Edward Gabrielson, Hao Wang, Gary L. Rosner, Valerie Rusch, Jedd D. Wolchok, Taha Merghoub, Janis M. Taube, Victor E. Velculescu, Suzanne L. Topalian, Julie R. Brahmer, Drew M. Pardoll. Neoadjuvant PD-1 blockade in resectable lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr CT079.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 3
    In: Cancer Immunology Research, American Association for Cancer Research (AACR), Vol. 6, No. 8 ( 2018-08-01), p. 888-899
    Abstract: Mutation-associated neoantigens (MANA) are a target of antitumor T-cell immunity. Sensitive, simple, and standardized assays are needed to assess the repertoire of functional MANA-specific T cells in oncology. Assays analyzing in vitro cytokine production such as ELISpot and intracellular cytokine staining have been useful but have limited sensitivity in assessing tumor-specific T-cell responses and do not analyze antigen-specific T-cell repertoires. The FEST (Functional Expansion of Specific T cells) assay described herein integrates T-cell receptor sequencing of short-term, peptide-stimulated cultures with a bioinformatic platform to identify antigen-specific clonotypic amplifications. This assay can be adapted for all types of antigens, including MANAs via tumor exome-guided prediction of MANAs. Following in vitro identification by the MANAFEST assay, the MANA-specific CDR3 sequence can be used as a molecular barcode to detect and monitor the dynamics of these clonotypes in blood, tumor, and normal tissue of patients receiving immunotherapy. MANAFEST is compatible with high-throughput routine clinical and lab practices. Cancer Immunol Res; 6(8); 888–99. ©2018 AACR.
    Type of Medium: Online Resource
    ISSN: 2326-6066 , 2326-6074
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 4
    In: Nature, Springer Science and Business Media LLC, Vol. 598, No. 7881 ( 2021-10-21), p. E1-E1
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
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  • 5
    In: Cell, Elsevier BV, Vol. 170, No. 3 ( 2017-07), p. 577-592.e10
    Type of Medium: Online Resource
    ISSN: 0092-8674
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2017
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    SSG: 12
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  • 6
    In: Journal of Experimental Medicine, Rockefeller University Press, Vol. 219, No. 6 ( 2022-06-06)
    Abstract: Transcription factors ThPOK and Runx3 regulate the differentiation of “helper” CD4+ and “cytotoxic” CD8+ T cell lineages respectively, inducing single positive (SP) T cells that enter the periphery with the expression of either the CD4 or CD8 co-receptor. Despite the expectation that these cell fates are mutually exclusive and that mature CD4+CD8+ double positive (DP) T cells are present in healthy individuals and augmented in the context of disease, yet their molecular features and pathophysiologic role are disputed. Here, we show DP T cells in murine and human tumors as a heterogenous population originating from SP T cells which re-express the opposite co-receptor and acquire features of the opposite cell type’s phenotype and function following TCR stimulation. We identified distinct clonally expanded DP T cells in human melanoma and lung cancer by scRNA sequencing and demonstrated their tumor reactivity in cytotoxicity assays. Our findings indicate that antigen stimulation induces SP T cells to differentiate into DP T cell subsets gaining in polyfunctional characteristics.
    Type of Medium: Online Resource
    ISSN: 0022-1007 , 1540-9538
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    Language: English
    Publisher: Rockefeller University Press
    Publication Date: 2022
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  • 7
    In: New England Journal of Medicine, Massachusetts Medical Society, Vol. 378, No. 21 ( 2018-05-24), p. 1976-1986
    Type of Medium: Online Resource
    ISSN: 0028-4793 , 1533-4406
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    Language: English
    Publisher: Massachusetts Medical Society
    Publication Date: 2018
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  • 8
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 4041-4041
    Abstract: We recently completed a phase II study evaluating the safety and efficacy of neoadjuvant anti-PD-1 in non-small cell lung cancer (NSCLC). To evaluate anti-tumor T cell responses, we used the recently described MANAFEST (Mutation Associated Neoantigen Functional Expansion of Specific T cells) assay, which links antigen specificity with unique CD8+ TCR Vβ CDR3 identities, in 7 patients from the trial. We then carried out single cell sequencing of tumor infiltrating T lymphocytes (TIL) to enumerate the genome wide digital gene expression of each single cell (VDJ+DGE analysis), and more particularly those with Vβ CDR3 regions identical to those identified by MANAFEST. Neoantigen-specific TCRs were detected in all patients with major pathological response (MPR) and in 3 of 4 patients without MPR. VDJ+5’DGE single cell sequencing demonstrated differential phenotypes of TIL obtained from surgical resection, and these T cells had varying degrees of peripheral perturbations during treatment. In PBMC from patient MD043-011, the MANAFEST assay detected a T cell response specific for a CARM1 R208W mutation, despite no evidence of pathological response in this patient. These neoantigen-specific T cells possessed a single TCR Vβ CDR3 at the aa level and represented 3.4% of TIL. Upon analysis of TIL with the VDJ+DGE platform, the same CDR3 was detected in 32 TIL, all of which possessed the identical TCR Vα at the aa level. However, analysis of CDR3 sequences at the nucleotide level revealed 3 distinct clones encoding this antigen-specific TCR. Differential gene expression profiling demonstrated a unique and discriminating expression profile for each clonotype, with one clone expressing CTL activation markers such as granzyme k, 4-1BB, and PD-1, the second clone expressing IL10 family member IL26 and genes that inhibit effector and memory CTL function, such as CISH, TOX, and SLAMF1, and the third clone expressing no known activation markers. These findings demonstrate the existence of different intratumoral T cell clones with distinct functions yet identical specificity for a tumor neoantigen. We propose that these differential expression programs are induced because these clones were differentially activated under different conditions in the TME, primed in distinct anatomical locations, or at different times during disease progression despite recognizing the same antigen. Analyses to evaluate the prevalence of this phenomenon in the larger cohort are ongoing. In conclusion, the coupling of MANAFEST with single cell VDJ+ DGE analysis enabled the first comprehensive phenotypic profiling of neoantigen-specific T cells using the TCR as a molecular barcode. Ultimately, this integrative approach may provide key insights in predicting and understanding not only clinical response to neoadjuvant PD-1 blockade in NSCLC, but also other early stage cancers agnostic of tissue of origin. Citation Format: Justina X. Caushi, Zhicheng Ji, Jiajia Zhang, Margueritta El Asmar, Valsamo Anagnostou, Tricia R. Cottrell, Hok Yee Chan, Haidan Guo, Taha Merghoub, Jedd D. Wolchok, Jarushka Naidoo, Kristen A. Marrone, Jamie E. Chaft, Matthew D. Hellmann, Edward Gabrielson, Janis M. Taube, Julie R. Brahmer, Victor E. Velculescu, Ni Zhao, Ludmila Danilova, Leslie Cope, Patrick M. Forde, Drew M. Pardoll, Hongkai Ji, Srinivasan Yegnasubramanian, Kellie N. Smith. Coupling neoantigen specific T cell clonotypes and their molecular phenotypes at the single cell level in resectable anti-PD-1 treated NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4041.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 9
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 15_Supplement ( 2015-08-01), p. 3240-3240
    Abstract: Recent advances in next-generation sequencing have revealed the presence of genetic heterogeneity and clonal evolution within tumors. Intratumoral heterogeneity has been implicated in the disease progression, metastasis, therapeutic responses and development of drug resistance. Although cancer cell line xenograft models have been extensively used in cancer research to test drug efficacy, it is unknown how much clonal heterogeneity is maintained in the process of cell line xenograft establishment. In order to quantitatively assess the clonal complexity in xenograft models, here we applied a cellular barcoding technology using the HCC827 cell line. HCC827 is a non-small cell lung cancer cell line containing an exon 19 deletion which has been shown to be clinically relevant due to its initial response to EGFR inhibitors followed by resistance. This barcoding tool allowed us to label each individual cell with one unique DNA barcode via lentiviral infection and monitor the clonal heterogeneity within the implanted cell population by quantifying the number of unique barcodes. We were able to estimate the percentage of implanted clones that actually contributed to the formation of cell line xenografts. This study provides valuable insight on the clonal diversity present in xenograft models, which will further elucidate the heterogeneous nature of tumors. Citation Format: Justina X. Caushi, Hyo-eun C. Bhang, Jie Li, Iris Kao, Viveksagar Krishnamurthy Radhakrishna, Vesselina G. Cooke, Joshua M. Korn, David A. Ruddy, Shailaja Kasibhatla, Frank Stegmeier. Understanding clonal complexity of a tumor xenograft model via cellular barcoding technology. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3240. doi:10.1158/1538-7445.AM2015-3240
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 595-595
    Abstract: Immune-checkpoint blockade (ICB) has proved a major success, especially in highly mutated tumors such as lung cancer. Nevertheless, not all patients respond to ICB. It is possible that regulatory T cells (Tregs) play a role in this lack of response by suppressing tumor-reactive cytotoxic T cells, however the specific mechanisms that lead to this suppression remain elusive. It is therefore necessary to understand the functional programming and suppressive nature of Treg subsets in the tumor microenvironment to define targetable molecules for future biomarker-driven therapeutics. In this study we performed single cell RNA-sequencing on T cells isolated from resected tissue and peripheral blood from 15 neoadjuvant nivolumab (anti-PD1)-treated and 10 untreated non-small cell lung cancer (NSCLC) patients. We identified and analyzed 71,251 CD4+ FoxP3+ Tregs. Refined clustering was performed, and we used pseudotime and differential gene analyses to understand the transcriptional relationship between clusters and patient groups. With our highly refined clustering approach, we identified 8 separate Treg clusters that reflect differing functionalities within the tumor microenvironment. We demonstrate distinct Treg subsets that diverge towards either an activated state, expressing members of the tumor necrosis factor receptor (TNFR) superfamily: OX40, 41BB, GITR, or a resting state. Patients who respond to ICI have a decreased activated Treg score and demonstrate RNA velocity trajectory from activated Tregs towards more in-active and resting populations. Untreated patients conversely show a high activated Treg score with RNA velocity demonstrating activated Tregs are a terminal differentiation state. We hypothesize that ICI treatment pushes Tregs away from an activated phenotype towards more quiescent and that the efficiency of this transition may predict response to ICI. We plan to stimulate receptors associated with non-response using TNFR agonist ligands and hypothesize that their induced signaling will result in transcriptional program changes altering the suppressive ability of Tregs. In addition, we show that Tregs who experience antigen within the tumor microenvironment are more suppressive than bystander Tregs that home to the tumor without antigen stimulation. Together, this study provides an in-depth look at the Treg-derived suppressive mechanisms governing their function in the TME of anti-PD-1-treated vs. untreated tumors. This in-depth analysis of tumor Tregs has identified specific targetable biomarkers which could be used to improve ICB response while mitigating off-target immune adverse events by specifically inhibiting a small subset of Tregs without disturbing systemic immune homeostasis. Citation Format: Arbor G. Dykema, Jiajia Zhang, Boyang Zhang, Taibo Li, Justina X. Caushi, Laurene S. Cheung, Hongkai Ji, Zhicheng Ji, Kellie N. Smith, Drew M. Pardoll. Distinct tumor infiltrating Treg lineages are associated with response to anti-PD1 checkpoint blockade in NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 595.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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