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Prognostic value of B cells in cutaneous melanoma
BACKGROUND: Measures of the adaptive immune response have prognostic and predictive associations in melanoma and other cancer types. Specifically, intratumoral T cell density and function have considerable prognostic and predictive value in skin cutaneous melanoma (SKCM). Less is known about the sig...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540526/ https://www.ncbi.nlm.nih.gov/pubmed/31138334 http://dx.doi.org/10.1186/s13073-019-0647-5 |
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author | Selitsky, Sara R. Mose, Lisle E. Smith, Christof C. Chai, Shengjie Hoadley, Katherine A. Dittmer, Dirk P. Moschos, Stergios J. Parker, Joel S. Vincent, Benjamin G. |
author_facet | Selitsky, Sara R. Mose, Lisle E. Smith, Christof C. Chai, Shengjie Hoadley, Katherine A. Dittmer, Dirk P. Moschos, Stergios J. Parker, Joel S. Vincent, Benjamin G. |
author_sort | Selitsky, Sara R. |
collection | PubMed |
description | BACKGROUND: Measures of the adaptive immune response have prognostic and predictive associations in melanoma and other cancer types. Specifically, intratumoral T cell density and function have considerable prognostic and predictive value in skin cutaneous melanoma (SKCM). Less is known about the significance of tumor-infiltrating B cells in SKCM. Our goal was to understand the prognostic and predictive value of B cell phenotypic subsets in SKCM using RNA sequencing. METHODS: We used our previously published algorithm, V’DJer, to assemble B cell receptor (BCR) repertoires and estimate diversity from short-read RNA sequencing (RNA-seq). We applied machine learning-based cellular phenotype classifiers to measure relative similarity of bulk tumor sample gene expression profiles and different B cell phenotypes. We assessed these aspects of B cell biology in 473 SKCM from the Cancer Genome Atlas Project (TCGA) as well as in RNA-seq data corresponding to tumor samples procured from patients who received CTLA-4 and PD-1 inhibitors for metastatic SKCM. RESULTS: We found that the BCR repertoire was associated with different clinical factors, such as tumor tissue site and sex. However, increased clonality of the BCR repertoire was favorably prognostic in SKCM and was prognostic even after first conditioning on various clinical factors. Mutation burden was not correlated with any BCR measurement, and no specific mutation had an altered BCR repertoire. Lack of an assembled BCR in pre-treatment tumor tissues was associated with a lack of anti-tumor response to a CTLA-4 inhibitor in metastatic SKCM. CONCLUSIONS: These findings suggest an important prognostic and predictive role for B cell characteristics in SKCM. This has implications for melanoma immunobiology and potential development of immunogenomics features to predict survival and response to immunotherapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-019-0647-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6540526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65405262019-06-03 Prognostic value of B cells in cutaneous melanoma Selitsky, Sara R. Mose, Lisle E. Smith, Christof C. Chai, Shengjie Hoadley, Katherine A. Dittmer, Dirk P. Moschos, Stergios J. Parker, Joel S. Vincent, Benjamin G. Genome Med Research BACKGROUND: Measures of the adaptive immune response have prognostic and predictive associations in melanoma and other cancer types. Specifically, intratumoral T cell density and function have considerable prognostic and predictive value in skin cutaneous melanoma (SKCM). Less is known about the significance of tumor-infiltrating B cells in SKCM. Our goal was to understand the prognostic and predictive value of B cell phenotypic subsets in SKCM using RNA sequencing. METHODS: We used our previously published algorithm, V’DJer, to assemble B cell receptor (BCR) repertoires and estimate diversity from short-read RNA sequencing (RNA-seq). We applied machine learning-based cellular phenotype classifiers to measure relative similarity of bulk tumor sample gene expression profiles and different B cell phenotypes. We assessed these aspects of B cell biology in 473 SKCM from the Cancer Genome Atlas Project (TCGA) as well as in RNA-seq data corresponding to tumor samples procured from patients who received CTLA-4 and PD-1 inhibitors for metastatic SKCM. RESULTS: We found that the BCR repertoire was associated with different clinical factors, such as tumor tissue site and sex. However, increased clonality of the BCR repertoire was favorably prognostic in SKCM and was prognostic even after first conditioning on various clinical factors. Mutation burden was not correlated with any BCR measurement, and no specific mutation had an altered BCR repertoire. Lack of an assembled BCR in pre-treatment tumor tissues was associated with a lack of anti-tumor response to a CTLA-4 inhibitor in metastatic SKCM. CONCLUSIONS: These findings suggest an important prognostic and predictive role for B cell characteristics in SKCM. This has implications for melanoma immunobiology and potential development of immunogenomics features to predict survival and response to immunotherapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-019-0647-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-28 /pmc/articles/PMC6540526/ /pubmed/31138334 http://dx.doi.org/10.1186/s13073-019-0647-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Selitsky, Sara R. Mose, Lisle E. Smith, Christof C. Chai, Shengjie Hoadley, Katherine A. Dittmer, Dirk P. Moschos, Stergios J. Parker, Joel S. Vincent, Benjamin G. Prognostic value of B cells in cutaneous melanoma |
title | Prognostic value of B cells in cutaneous melanoma |
title_full | Prognostic value of B cells in cutaneous melanoma |
title_fullStr | Prognostic value of B cells in cutaneous melanoma |
title_full_unstemmed | Prognostic value of B cells in cutaneous melanoma |
title_short | Prognostic value of B cells in cutaneous melanoma |
title_sort | prognostic value of b cells in cutaneous melanoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540526/ https://www.ncbi.nlm.nih.gov/pubmed/31138334 http://dx.doi.org/10.1186/s13073-019-0647-5 |
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