Literature DB >> 35031572

Quantification of T- and B-cell Immune Receptor Distribution Diversity Characterizes Immune Cell Infiltration and Lymphocyte Heterogeneity in Clear Cell Renal Cell Carcinoma.

Brandon J Manley1,2, Philipp M Altrock1,3, Meghan C Ferrall-Fairbanks1,4,5, Nicholas H Chakiryan2, Boris I Chobrutskiy6, Youngchul Kim7, Jamie K Teer7, Anders Berglund7, James J Mulé8, Michelle Fournier2, Erin M Siegel9, Jasreman Dhillon10, Seyed Shayan A Falasiri6, Juan F Arturo6, Esther N Katende2, George Blanck6,8.   

Abstract

Immune-modulating systemic therapies are often used to treat advanced cancer such as metastatic clear cell renal cell carcinoma (ccRCC). Used alone, sequence-based biomarkers neither accurately capture patient dynamics nor the tumor immune microenvironment. To better understand the tumor ecology of this immune microenvironment, we quantified tumor infiltration across three distinct ccRCC patient tumor cohorts using complementarity determining region-3 (CDR3) sequence recovery counts in tumor-infiltrating lymphocytes and a generalized diversity index (GDI) for CDR3 sequence distributions. GDI can be understood as a curve over a continuum of diversity scales that allows sensitive characterization of distributions to capture sample richness, evenness, and subsampling uncertainty, along with other important metrics that characterize tumor heterogeneity. For example, richness quantified the total unique sequence count, while evenness quantified similarities across sequence frequencies. Significant differences in receptor sequence diversity across gender and race revealed that patients with larger and more clinically aggressive tumors had increased richness of recovered tumoral CDR3 sequences, specifically in those from T-cell receptor alpha and B-cell immunoglobulin lambda light chain. The GDI inflection point (IP) allowed for a novel and robust measure of distribution evenness. High IP values were associated with improved overall survival, suggesting that normal-like sequence distributions lead to better outcomes. These results propose a new quantitative tool that can be used to better characterize patient-specific differences related to immune cell infiltration, and to identify unique characteristics of tumor-infiltrating lymphocyte heterogeneity in ccRCC and other malignancies. SIGNIFICANCE: Assessment of tumor-infiltrating T-cell and B-cell diversity in renal cell carcinoma advances the understanding of tumor-immune system interactions, linking tumor immune ecology with tumor burden, aggressiveness, and patient survival. See related commentary by Krishna and Hakimi, p. 764. ©2022 The Authors; Published by the American Association for Cancer Research.

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Year:  2022        PMID: 35031572      PMCID: PMC8898280          DOI: 10.1158/0008-5472.CAN-21-1747

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  41 in total

1.  Inference of tumor evolution during chemotherapy by computational modeling and in situ analysis of genetic and phenotypic cellular diversity.

Authors:  Vanessa Almendro; Yu-Kang Cheng; Amanda Randles; Shalev Itzkovitz; Andriy Marusyk; Elisabet Ametller; Xavier Gonzalez-Farre; Montse Muñoz; Hege G Russnes; Aslaug Helland; Inga H Rye; Anne-Lise Borresen-Dale; Reo Maruyama; Alexander van Oudenaarden; Mitchell Dowsett; Robin L Jones; Jorge Reis-Filho; Pere Gascon; Mithat Gönen; Franziska Michor; Kornelia Polyak
Journal:  Cell Rep       Date:  2014-01-23       Impact factor: 9.423

2.  Recovery of T-cell receptor V(D)J recombination reads from lower grade glioma exome files correlates with reduced survival and advanced cancer grade.

Authors:  Boris I Chobrutskiy; Saif Zaman; Wei Lue Tong; Andrea Diviney; George Blanck
Journal:  J Neurooncol       Date:  2018-10-31       Impact factor: 4.130

Review 3.  The many important facets of T-cell repertoire diversity.

Authors:  Janko Nikolich-Zugich; Mark K Slifka; Ilhem Messaoudi
Journal:  Nat Rev Immunol       Date:  2004-02       Impact factor: 53.106

4.  Racial differences in B cell receptor signaling pathway activation.

Authors:  Diane M Longo; Brent Louie; Kavita Mathi; Zoltan Pos; Ena Wang; Rachael E Hawtin; Francesco M Marincola; Alessandra Cesano
Journal:  J Transl Med       Date:  2012-06-06       Impact factor: 5.531

5.  Spontaneous cell fusions as a mechanism of parasexual recombination in tumour cell populations.

Authors:  Daria Miroshnychenko; Etienne Baratchart; David Basanta; Andriy Marusyk; Meghan C Ferrall-Fairbanks; Robert Vander Velde; Mark A Laurie; Marilyn M Bui; Aik Choon Tan; Philipp M Altrock
Journal:  Nat Ecol Evol       Date:  2021-01-18       Impact factor: 19.100

6.  Robust estimates of overall immune-repertoire diversity from high-throughput measurements on samples.

Authors:  Joseph Kaplinsky; Ramy Arnaout
Journal:  Nat Commun       Date:  2016-06-15       Impact factor: 14.919

7.  xCell: digitally portraying the tissue cellular heterogeneity landscape.

Authors:  Dvir Aran; Zicheng Hu; Atul J Butte
Journal:  Genome Biol       Date:  2017-11-15       Impact factor: 13.583

8.  Annual Report to the Nation on the Status of Cancer, part I: National cancer statistics.

Authors:  Kathleen A Cronin; Andrew J Lake; Susan Scott; Recinda L Sherman; Anne-Michelle Noone; Nadia Howlader; S Jane Henley; Robert N Anderson; Albert U Firth; Jiemin Ma; Betsy A Kohler; Ahmedin Jemal
Journal:  Cancer       Date:  2018-05-22       Impact factor: 6.860

9.  Prognostic significance of laterality in renal cell carcinoma: A population-based study from the surveillance, epidemiology, and end results (SEER) database.

Authors:  Shengjie Guo; Kai Yao; Xiaobo He; Shulin Wu; Yunlin Ye; Junxing Chen; Chin-Lee Wu
Journal:  Cancer Med       Date:  2019-08-12       Impact factor: 4.452

Review 10.  Estimating the diversity, completeness, and cross-reactivity of the T cell repertoire.

Authors:  Veronika I Zarnitsyna; Brian D Evavold; Louis N Schoettle; Joseph N Blattman; Rustom Antia
Journal:  Front Immunol       Date:  2013-12-26       Impact factor: 7.561

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  2 in total

1.  TTN mutations predict a poor prognosis in patients with thyroid cancer.

Authors:  Xiudan Han; Jianrong Chen; Jiao Wang; Jixiong Xu; Ying Liu
Journal:  Biosci Rep       Date:  2022-07-29       Impact factor: 3.976

2.  Prognostic Profiling of the EMT-Associated and Immunity-Related LncRNAs in Lung Squamous Cell Carcinomas.

Authors:  Qifeng Sun; Yan Gao; Yehui Zhang; Hongmei Cao; Jiajia Liu; Shi-Yong Neo; Keguang Chen; Yanping Bi; Jing Wu
Journal:  Cells       Date:  2022-09-15       Impact factor: 7.666

  2 in total

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