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Abstract 692: Patient-derived co-cultures of TRACERx lung cancer organoids and autologous T-cells reveal heterogeneity in immune evasion between cancer subclones
Introduction: Intra-tumor heterogeneity (ITH) is a major driver of treatment resistance. ITH also affects anti-tumor immunity, with immune cell infiltration, neo-antigen expression and T cell receptor (TCR) profiles differing between separate regions of an individual tumor. However, the extent to wh...
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Published in: | Cancer research (Chicago, Ill.) Ill.), 2022-06, Vol.82 (12_Supplement), p.692-692 |
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creator | Dijkstra, Krijn K. Vendramin, Roberto Hynds, Robert E. Pearce, David R. Karagianni, Despoina Gálvez-Cancino, Felipe Pich, Oriol Hill, Mark S. Barbè, Vittorio Rowan, Andrew Veeriah, Selvaraju Naceur-Lombardelli, Cristina Toncheva, Antonia Bola, Supreet Jamal-Hanjani, Mariam Hiley, Crispin Litchfield, Kevin Reading, James Quezada, Sergio A. Swanton, Charles |
description | Introduction: Intra-tumor heterogeneity (ITH) is a major driver of treatment resistance. ITH also affects anti-tumor immunity, with immune cell infiltration, neo-antigen expression and T cell receptor (TCR) profiles differing between separate regions of an individual tumor. However, the extent to which separate tumor subclones differ in their capacity for immune evasion, the tumor-intrinsic mechanisms underlying any such heterogeneity, and its impact on cancer immunosurveillance remain largely unexplored. We have previously developed personalized models of anti-tumor immunity, based on co-cultures of cancer organoids and autologous T-cells. These co-culture systems can be used to evaluate the efficacy of cancer immunosurveillance at the level of an individual patient.
Approach: Here, we leverage the multi-region TRACERx lung cancer evolution study to generate a patient-derived study platform that allows the evaluation of T-cell responses to individual cancer subclones. We generated libraries of >20 separate non-small cell lung cancer (NSCLC) organoid lines, based on isolating individual (clonal) organoids established from multiple spatially separated tumor regions. Each organoid subline was co-cultured with autologous tumor infiltrating lymphocytes (TIL) to evaluate how they differ in their capacity to elicit a T-cell response.
Results: Our data reveal heterogeneity between individual clonal organoid sublines in their capacity to stimulate TIL. The proportion of TIL being activated by a particular subclone, as measured by 4-1BB (CD137) expression, ranged from 5 to 42%. These differences could not be explained by differences in MHC class I or PD-L1 expression. We are currently using DNA, RNA and TCR sequencing to characterize ‘immune evading’ and ‘non-immune evading’ sublines. Data will be updated on emerging subclonal immune evasion mechanisms inferred through DNA/RNA/TCR sequencing.
Conclusion: Individual cancer subclones show differences in the degree of immune evasion. This patient-derived study platform allows moving beyond descriptive analyses of the heterogeneity of anti-tumor immunity, allowing fine-grained functional studies of how ITH affects cancer immunosurveillance.
Citation Format: Krijn K. Dijkstra, Roberto Vendramin, Robert E. Hynds, David R. Pearce, Despoina Karagianni, Felipe Gálvez-Cancino, Oriol Pich, Mark S. Hill, Vittorio Barbè, Andrew Rowan, Selvaraju Veeriah, Cristina Naceur-Lombardelli, Antonia Toncheva, Supreet Bola, Mariam Jamal-H |
doi_str_mv | 10.1158/1538-7445.AM2022-692 |
format | article |
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Approach: Here, we leverage the multi-region TRACERx lung cancer evolution study to generate a patient-derived study platform that allows the evaluation of T-cell responses to individual cancer subclones. We generated libraries of >20 separate non-small cell lung cancer (NSCLC) organoid lines, based on isolating individual (clonal) organoids established from multiple spatially separated tumor regions. Each organoid subline was co-cultured with autologous tumor infiltrating lymphocytes (TIL) to evaluate how they differ in their capacity to elicit a T-cell response.
Results: Our data reveal heterogeneity between individual clonal organoid sublines in their capacity to stimulate TIL. The proportion of TIL being activated by a particular subclone, as measured by 4-1BB (CD137) expression, ranged from 5 to 42%. These differences could not be explained by differences in MHC class I or PD-L1 expression. We are currently using DNA, RNA and TCR sequencing to characterize ‘immune evading’ and ‘non-immune evading’ sublines. Data will be updated on emerging subclonal immune evasion mechanisms inferred through DNA/RNA/TCR sequencing.
Conclusion: Individual cancer subclones show differences in the degree of immune evasion. This patient-derived study platform allows moving beyond descriptive analyses of the heterogeneity of anti-tumor immunity, allowing fine-grained functional studies of how ITH affects cancer immunosurveillance.
Citation Format: Krijn K. Dijkstra, Roberto Vendramin, Robert E. Hynds, David R. Pearce, Despoina Karagianni, Felipe Gálvez-Cancino, Oriol Pich, Mark S. Hill, Vittorio Barbè, Andrew Rowan, Selvaraju Veeriah, Cristina Naceur-Lombardelli, Antonia Toncheva, Supreet Bola, Mariam Jamal-Hanjani, Crispin Hiley, Kevin Litchfield, James Reading, Sergio A. Quezada, Charles Swanton, TRACERx consortium. Patient-derived co-cultures of TRACERx lung cancer organoids and autologous T-cells reveal heterogeneity in immune evasion between cancer subclones [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 692.</description><identifier>ISSN: 1538-7445</identifier><identifier>EISSN: 1538-7445</identifier><identifier>DOI: 10.1158/1538-7445.AM2022-692</identifier><language>eng</language><ispartof>Cancer research (Chicago, Ill.), 2022-06, Vol.82 (12_Supplement), p.692-692</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Dijkstra, Krijn K.</creatorcontrib><creatorcontrib>Vendramin, Roberto</creatorcontrib><creatorcontrib>Hynds, Robert E.</creatorcontrib><creatorcontrib>Pearce, David R.</creatorcontrib><creatorcontrib>Karagianni, Despoina</creatorcontrib><creatorcontrib>Gálvez-Cancino, Felipe</creatorcontrib><creatorcontrib>Pich, Oriol</creatorcontrib><creatorcontrib>Hill, Mark S.</creatorcontrib><creatorcontrib>Barbè, Vittorio</creatorcontrib><creatorcontrib>Rowan, Andrew</creatorcontrib><creatorcontrib>Veeriah, Selvaraju</creatorcontrib><creatorcontrib>Naceur-Lombardelli, Cristina</creatorcontrib><creatorcontrib>Toncheva, Antonia</creatorcontrib><creatorcontrib>Bola, Supreet</creatorcontrib><creatorcontrib>Jamal-Hanjani, Mariam</creatorcontrib><creatorcontrib>Hiley, Crispin</creatorcontrib><creatorcontrib>Litchfield, Kevin</creatorcontrib><creatorcontrib>Reading, James</creatorcontrib><creatorcontrib>Quezada, Sergio A.</creatorcontrib><creatorcontrib>Swanton, Charles</creatorcontrib><creatorcontrib>TRACERx consortium</creatorcontrib><title>Abstract 692: Patient-derived co-cultures of TRACERx lung cancer organoids and autologous T-cells reveal heterogeneity in immune evasion between cancer subclones</title><title>Cancer research (Chicago, Ill.)</title><description>Introduction: Intra-tumor heterogeneity (ITH) is a major driver of treatment resistance. ITH also affects anti-tumor immunity, with immune cell infiltration, neo-antigen expression and T cell receptor (TCR) profiles differing between separate regions of an individual tumor. However, the extent to which separate tumor subclones differ in their capacity for immune evasion, the tumor-intrinsic mechanisms underlying any such heterogeneity, and its impact on cancer immunosurveillance remain largely unexplored. We have previously developed personalized models of anti-tumor immunity, based on co-cultures of cancer organoids and autologous T-cells. These co-culture systems can be used to evaluate the efficacy of cancer immunosurveillance at the level of an individual patient.
Approach: Here, we leverage the multi-region TRACERx lung cancer evolution study to generate a patient-derived study platform that allows the evaluation of T-cell responses to individual cancer subclones. We generated libraries of >20 separate non-small cell lung cancer (NSCLC) organoid lines, based on isolating individual (clonal) organoids established from multiple spatially separated tumor regions. Each organoid subline was co-cultured with autologous tumor infiltrating lymphocytes (TIL) to evaluate how they differ in their capacity to elicit a T-cell response.
Results: Our data reveal heterogeneity between individual clonal organoid sublines in their capacity to stimulate TIL. The proportion of TIL being activated by a particular subclone, as measured by 4-1BB (CD137) expression, ranged from 5 to 42%. These differences could not be explained by differences in MHC class I or PD-L1 expression. We are currently using DNA, RNA and TCR sequencing to characterize ‘immune evading’ and ‘non-immune evading’ sublines. Data will be updated on emerging subclonal immune evasion mechanisms inferred through DNA/RNA/TCR sequencing.
Conclusion: Individual cancer subclones show differences in the degree of immune evasion. This patient-derived study platform allows moving beyond descriptive analyses of the heterogeneity of anti-tumor immunity, allowing fine-grained functional studies of how ITH affects cancer immunosurveillance.
Citation Format: Krijn K. Dijkstra, Roberto Vendramin, Robert E. Hynds, David R. Pearce, Despoina Karagianni, Felipe Gálvez-Cancino, Oriol Pich, Mark S. Hill, Vittorio Barbè, Andrew Rowan, Selvaraju Veeriah, Cristina Naceur-Lombardelli, Antonia Toncheva, Supreet Bola, Mariam Jamal-Hanjani, Crispin Hiley, Kevin Litchfield, James Reading, Sergio A. Quezada, Charles Swanton, TRACERx consortium. Patient-derived co-cultures of TRACERx lung cancer organoids and autologous T-cells reveal heterogeneity in immune evasion between cancer subclones [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 692.</description><issn>1538-7445</issn><issn>1538-7445</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqdkE1OwzAUhC0EEuXnBizeBVzsNIHCLqqK2FRCVfaW47wEI8dGfnagx-GmtOJHrFnNaKQZ6RvGrqSYS1ktr2W1WPLbsqzm9aYQRcFv7oojNvuNj__4U3ZG9CKEqKSoZuyjbilFbRLsO_fwpJNFn3iH0U7YgQncZJdyRILQQ7OtV-vtO7jsBzDaG4wQ4qB9sB2B9h3onIILQ8gEDTfoHEHECbWDZ0wYw4AebdqB9WDHMXsEnDTZ4KHF9Ibof2Ypt8YFj3TBTnrtCC-_9ZyVD-tm9chNDEQRe_Ua7ajjTkmhDneoA6s6sKqvO9QebfHP2ifBFmwl</recordid><startdate>20220615</startdate><enddate>20220615</enddate><creator>Dijkstra, Krijn K.</creator><creator>Vendramin, Roberto</creator><creator>Hynds, Robert E.</creator><creator>Pearce, David R.</creator><creator>Karagianni, Despoina</creator><creator>Gálvez-Cancino, Felipe</creator><creator>Pich, Oriol</creator><creator>Hill, Mark S.</creator><creator>Barbè, Vittorio</creator><creator>Rowan, Andrew</creator><creator>Veeriah, Selvaraju</creator><creator>Naceur-Lombardelli, Cristina</creator><creator>Toncheva, Antonia</creator><creator>Bola, Supreet</creator><creator>Jamal-Hanjani, Mariam</creator><creator>Hiley, Crispin</creator><creator>Litchfield, Kevin</creator><creator>Reading, James</creator><creator>Quezada, Sergio A.</creator><creator>Swanton, Charles</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20220615</creationdate><title>Abstract 692: Patient-derived co-cultures of TRACERx lung cancer organoids and autologous T-cells reveal heterogeneity in immune evasion between cancer subclones</title><author>Dijkstra, Krijn K. ; Vendramin, Roberto ; Hynds, Robert E. ; Pearce, David R. ; Karagianni, Despoina ; Gálvez-Cancino, Felipe ; Pich, Oriol ; Hill, Mark S. ; Barbè, Vittorio ; Rowan, Andrew ; Veeriah, Selvaraju ; Naceur-Lombardelli, Cristina ; Toncheva, Antonia ; Bola, Supreet ; Jamal-Hanjani, Mariam ; Hiley, Crispin ; Litchfield, Kevin ; Reading, James ; Quezada, Sergio A. ; Swanton, Charles</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-crossref_primary_10_1158_1538_7445_AM2022_6923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dijkstra, Krijn K.</creatorcontrib><creatorcontrib>Vendramin, Roberto</creatorcontrib><creatorcontrib>Hynds, Robert E.</creatorcontrib><creatorcontrib>Pearce, David R.</creatorcontrib><creatorcontrib>Karagianni, Despoina</creatorcontrib><creatorcontrib>Gálvez-Cancino, Felipe</creatorcontrib><creatorcontrib>Pich, Oriol</creatorcontrib><creatorcontrib>Hill, Mark S.</creatorcontrib><creatorcontrib>Barbè, Vittorio</creatorcontrib><creatorcontrib>Rowan, Andrew</creatorcontrib><creatorcontrib>Veeriah, Selvaraju</creatorcontrib><creatorcontrib>Naceur-Lombardelli, Cristina</creatorcontrib><creatorcontrib>Toncheva, Antonia</creatorcontrib><creatorcontrib>Bola, Supreet</creatorcontrib><creatorcontrib>Jamal-Hanjani, Mariam</creatorcontrib><creatorcontrib>Hiley, Crispin</creatorcontrib><creatorcontrib>Litchfield, Kevin</creatorcontrib><creatorcontrib>Reading, James</creatorcontrib><creatorcontrib>Quezada, Sergio A.</creatorcontrib><creatorcontrib>Swanton, Charles</creatorcontrib><creatorcontrib>TRACERx consortium</creatorcontrib><collection>CrossRef</collection><jtitle>Cancer research (Chicago, Ill.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dijkstra, Krijn K.</au><au>Vendramin, Roberto</au><au>Hynds, Robert E.</au><au>Pearce, David R.</au><au>Karagianni, Despoina</au><au>Gálvez-Cancino, Felipe</au><au>Pich, Oriol</au><au>Hill, Mark S.</au><au>Barbè, Vittorio</au><au>Rowan, Andrew</au><au>Veeriah, Selvaraju</au><au>Naceur-Lombardelli, Cristina</au><au>Toncheva, Antonia</au><au>Bola, Supreet</au><au>Jamal-Hanjani, Mariam</au><au>Hiley, Crispin</au><au>Litchfield, Kevin</au><au>Reading, James</au><au>Quezada, Sergio A.</au><au>Swanton, Charles</au><aucorp>TRACERx consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Abstract 692: Patient-derived co-cultures of TRACERx lung cancer organoids and autologous T-cells reveal heterogeneity in immune evasion between cancer subclones</atitle><jtitle>Cancer research (Chicago, Ill.)</jtitle><date>2022-06-15</date><risdate>2022</risdate><volume>82</volume><issue>12_Supplement</issue><spage>692</spage><epage>692</epage><pages>692-692</pages><issn>1538-7445</issn><eissn>1538-7445</eissn><abstract>Introduction: Intra-tumor heterogeneity (ITH) is a major driver of treatment resistance. ITH also affects anti-tumor immunity, with immune cell infiltration, neo-antigen expression and T cell receptor (TCR) profiles differing between separate regions of an individual tumor. However, the extent to which separate tumor subclones differ in their capacity for immune evasion, the tumor-intrinsic mechanisms underlying any such heterogeneity, and its impact on cancer immunosurveillance remain largely unexplored. We have previously developed personalized models of anti-tumor immunity, based on co-cultures of cancer organoids and autologous T-cells. These co-culture systems can be used to evaluate the efficacy of cancer immunosurveillance at the level of an individual patient.
Approach: Here, we leverage the multi-region TRACERx lung cancer evolution study to generate a patient-derived study platform that allows the evaluation of T-cell responses to individual cancer subclones. We generated libraries of >20 separate non-small cell lung cancer (NSCLC) organoid lines, based on isolating individual (clonal) organoids established from multiple spatially separated tumor regions. Each organoid subline was co-cultured with autologous tumor infiltrating lymphocytes (TIL) to evaluate how they differ in their capacity to elicit a T-cell response.
Results: Our data reveal heterogeneity between individual clonal organoid sublines in their capacity to stimulate TIL. The proportion of TIL being activated by a particular subclone, as measured by 4-1BB (CD137) expression, ranged from 5 to 42%. These differences could not be explained by differences in MHC class I or PD-L1 expression. We are currently using DNA, RNA and TCR sequencing to characterize ‘immune evading’ and ‘non-immune evading’ sublines. Data will be updated on emerging subclonal immune evasion mechanisms inferred through DNA/RNA/TCR sequencing.
Conclusion: Individual cancer subclones show differences in the degree of immune evasion. This patient-derived study platform allows moving beyond descriptive analyses of the heterogeneity of anti-tumor immunity, allowing fine-grained functional studies of how ITH affects cancer immunosurveillance.
Citation Format: Krijn K. Dijkstra, Roberto Vendramin, Robert E. Hynds, David R. Pearce, Despoina Karagianni, Felipe Gálvez-Cancino, Oriol Pich, Mark S. Hill, Vittorio Barbè, Andrew Rowan, Selvaraju Veeriah, Cristina Naceur-Lombardelli, Antonia Toncheva, Supreet Bola, Mariam Jamal-Hanjani, Crispin Hiley, Kevin Litchfield, James Reading, Sergio A. Quezada, Charles Swanton, TRACERx consortium. Patient-derived co-cultures of TRACERx lung cancer organoids and autologous T-cells reveal heterogeneity in immune evasion between cancer subclones [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 692.</abstract><doi>10.1158/1538-7445.AM2022-692</doi></addata></record> |
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title | Abstract 692: Patient-derived co-cultures of TRACERx lung cancer organoids and autologous T-cells reveal heterogeneity in immune evasion between cancer subclones |
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