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LAG‐3 transcriptomic expression patterns across malignancies: Implications for precision immunotherapeutics

BACKGROUND: Lymphocyte activation gene 3 (LAG‐3) or CD223 is a transmembrane protein that serves as an immune checkpoint which attenuates T‐cell activation. Many clinical trials of LAG‐3 inhibitors have had modest effects, but recent data indicate that the LAG‐3 antibody relatlimab, together with ni...

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Autores principales: Adashek, Jacob J., Kato, Shumei, Nishizaki, Daisuke, Miyashita, Hirotaka, De, Pradip, Lee, Suzanna, Pabla, Sarabjot, Nesline, Mary, Conroy, Jeffrey M., DePietro, Paul, Lippman, Scott, Kurzrock, Razelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315766/
https://www.ncbi.nlm.nih.gov/pubmed/37132280
http://dx.doi.org/10.1002/cam4.6000
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author Adashek, Jacob J.
Kato, Shumei
Nishizaki, Daisuke
Miyashita, Hirotaka
De, Pradip
Lee, Suzanna
Pabla, Sarabjot
Nesline, Mary
Conroy, Jeffrey M.
DePietro, Paul
Lippman, Scott
Kurzrock, Razelle
author_facet Adashek, Jacob J.
Kato, Shumei
Nishizaki, Daisuke
Miyashita, Hirotaka
De, Pradip
Lee, Suzanna
Pabla, Sarabjot
Nesline, Mary
Conroy, Jeffrey M.
DePietro, Paul
Lippman, Scott
Kurzrock, Razelle
author_sort Adashek, Jacob J.
collection PubMed
description BACKGROUND: Lymphocyte activation gene 3 (LAG‐3) or CD223 is a transmembrane protein that serves as an immune checkpoint which attenuates T‐cell activation. Many clinical trials of LAG‐3 inhibitors have had modest effects, but recent data indicate that the LAG‐3 antibody relatlimab, together with nivolumab (anti‐PD‐1), provided greater benefit than nivolumab alone in patients with melanoma. METHODS: In this study, the RNA expression levels of 397 genes were assessed in 514 diverse cancers at a clinical‐grade laboratory (OmniSeq: https://www.omniseq.com/). Transcript abundance was normalized to internal housekeeping gene profiles and ranked (0–100 percentile) using a reference population (735 tumors; 35 histologies). RESULTS: A total of 116 of 514 tumors (22.6%) had high LAG‐3 transcript expression (≥75 percentile rank). Cancers with the greatest proportion of high LAG‐3 transcripts were neuroendocrine (47% of patients) and uterine (42%); colorectal had among the lowest proportion of high LAG‐3 expression (15% of patients) (all p < 0.05 multivariate); 50% of melanomas were high LAG‐3 expressors. There was significant independent association between high LAG‐3 expression and high expression of other checkpoints, including programmed death‐ligand 1 (PD‐L1), PD‐1, and CTLA‐4, as well as high tumor mutational burden (TMB) ≥10 mutations/megabase, a marker for immunotherapy response (all p < 0.05 multivariate). However, within all tumor types, there was inter‐patient variability in LAG‐3 expression level. CONCLUSIONS: Prospective studies are therefore needed to determine if high levels of the LAG‐3 checkpoint are responsible for resistance to anti‐PD‐1/PD‐L1 or anti‐CTLA‐4 antibodies. Furthermore, a precision/personalized immunotherapy approach may require interrogating individual tumor immunograms to match patients to the right combination of immunotherapeutic agents for their malignancy.
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spelling pubmed-103157662023-07-04 LAG‐3 transcriptomic expression patterns across malignancies: Implications for precision immunotherapeutics Adashek, Jacob J. Kato, Shumei Nishizaki, Daisuke Miyashita, Hirotaka De, Pradip Lee, Suzanna Pabla, Sarabjot Nesline, Mary Conroy, Jeffrey M. DePietro, Paul Lippman, Scott Kurzrock, Razelle Cancer Med RESEARCH ARTICLES BACKGROUND: Lymphocyte activation gene 3 (LAG‐3) or CD223 is a transmembrane protein that serves as an immune checkpoint which attenuates T‐cell activation. Many clinical trials of LAG‐3 inhibitors have had modest effects, but recent data indicate that the LAG‐3 antibody relatlimab, together with nivolumab (anti‐PD‐1), provided greater benefit than nivolumab alone in patients with melanoma. METHODS: In this study, the RNA expression levels of 397 genes were assessed in 514 diverse cancers at a clinical‐grade laboratory (OmniSeq: https://www.omniseq.com/). Transcript abundance was normalized to internal housekeeping gene profiles and ranked (0–100 percentile) using a reference population (735 tumors; 35 histologies). RESULTS: A total of 116 of 514 tumors (22.6%) had high LAG‐3 transcript expression (≥75 percentile rank). Cancers with the greatest proportion of high LAG‐3 transcripts were neuroendocrine (47% of patients) and uterine (42%); colorectal had among the lowest proportion of high LAG‐3 expression (15% of patients) (all p < 0.05 multivariate); 50% of melanomas were high LAG‐3 expressors. There was significant independent association between high LAG‐3 expression and high expression of other checkpoints, including programmed death‐ligand 1 (PD‐L1), PD‐1, and CTLA‐4, as well as high tumor mutational burden (TMB) ≥10 mutations/megabase, a marker for immunotherapy response (all p < 0.05 multivariate). However, within all tumor types, there was inter‐patient variability in LAG‐3 expression level. CONCLUSIONS: Prospective studies are therefore needed to determine if high levels of the LAG‐3 checkpoint are responsible for resistance to anti‐PD‐1/PD‐L1 or anti‐CTLA‐4 antibodies. Furthermore, a precision/personalized immunotherapy approach may require interrogating individual tumor immunograms to match patients to the right combination of immunotherapeutic agents for their malignancy. John Wiley and Sons Inc. 2023-05-03 /pmc/articles/PMC10315766/ /pubmed/37132280 http://dx.doi.org/10.1002/cam4.6000 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Adashek, Jacob J.
Kato, Shumei
Nishizaki, Daisuke
Miyashita, Hirotaka
De, Pradip
Lee, Suzanna
Pabla, Sarabjot
Nesline, Mary
Conroy, Jeffrey M.
DePietro, Paul
Lippman, Scott
Kurzrock, Razelle
LAG‐3 transcriptomic expression patterns across malignancies: Implications for precision immunotherapeutics
title LAG‐3 transcriptomic expression patterns across malignancies: Implications for precision immunotherapeutics
title_full LAG‐3 transcriptomic expression patterns across malignancies: Implications for precision immunotherapeutics
title_fullStr LAG‐3 transcriptomic expression patterns across malignancies: Implications for precision immunotherapeutics
title_full_unstemmed LAG‐3 transcriptomic expression patterns across malignancies: Implications for precision immunotherapeutics
title_short LAG‐3 transcriptomic expression patterns across malignancies: Implications for precision immunotherapeutics
title_sort lag‐3 transcriptomic expression patterns across malignancies: implications for precision immunotherapeutics
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315766/
https://www.ncbi.nlm.nih.gov/pubmed/37132280
http://dx.doi.org/10.1002/cam4.6000
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