Literature DB >> 29467127

Quantitative Analysis of Immune Infiltrates in Primary Melanoma.

Robyn D Gartrell1, Douglas K Marks2, Thomas D Hart3, Gen Li4, Danielle R Davari3, Alan Wu5, Zoë Blake2, Yan Lu2, Kayleigh N Askin3, Anthea Monod6, Camden L Esancy2, Edward C Stack7, Dan Tong Jia8, Paul M Armenta8, Yichun Fu8, Daisuke Izaki3, Bret Taback9, Raul Rabadan6, Howard L Kaufman10, Charles G Drake2, Basil A Horst11, Yvonne M Saenger12.   

Abstract

Novel methods to analyze the tumor microenvironment (TME) are urgently needed to stratify melanoma patients for adjuvant immunotherapy. Tumor-infiltrating lymphocyte (TIL) analysis, by conventional pathologic methods, is predictive but is insufficiently precise for clinical application. Quantitative multiplex immunofluorescence (qmIF) allows for evaluation of the TME using multiparameter phenotyping, tissue segmentation, and quantitative spatial analysis (qSA). Given that CD3+CD8+ cytotoxic lymphocytes (CTLs) promote antitumor immunity, whereas CD68+ macrophages impair immunity, we hypothesized that quantification and spatial analysis of macrophages and CTLs would correlate with clinical outcome. We applied qmIF to 104 primary stage II to III melanoma tumors and found that CTLs were closer in proximity to activated (CD68+HLA-DR+) macrophages than nonactivated (CD68+HLA-DR-) macrophages (P < 0.0001). CTLs were further in proximity from proliferating SOX10+ melanoma cells than nonproliferating ones (P < 0.0001). In 64 patients with known cause of death, we found that high CTL and low macrophage density in the stroma (P = 0.0038 and P = 0.0006, respectively) correlated with disease-specific survival (DSS), but the correlation was less significant for CTL and macrophage density in the tumor (P = 0.0147 and P = 0.0426, respectively). DSS correlation was strongest for stromal HLA-DR+ CTLs (P = 0.0005). CTL distance to HLA-DR- macrophages associated with poor DSS (P = 0.0016), whereas distance to Ki67- tumor cells associated inversely with DSS (P = 0.0006). A low CTL/macrophage ratio in the stroma conferred a hazard ratio (HR) of 3.719 for death from melanoma and correlated with shortened overall survival (OS) in the complete 104 patient cohort by Cox analysis (P = 0.009) and merits further development as a biomarker for clinical application. Cancer Immunol Res; 6(4); 481-93. ©2018 AACR. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 29467127      PMCID: PMC5882545          DOI: 10.1158/2326-6066.CIR-17-0360

Source DB:  PubMed          Journal:  Cancer Immunol Res        ISSN: 2326-6066            Impact factor:   11.151


  55 in total

Review 1.  Macrophages: An Inflammatory Link Between Angiogenesis and Lymphangiogenesis.

Authors:  Bruce A Corliss; Mohammad S Azimi; Jennifer M Munson; Shayn M Peirce; Walter L Murfee
Journal:  Microcirculation       Date:  2016-02       Impact factor: 2.628

2.  Catalyzed reporter deposition, a novel method of signal amplification. II. Application to membrane immunoassays.

Authors:  M N Bobrow; K J Shaughnessy; G J Litt
Journal:  J Immunol Methods       Date:  1991-03-01       Impact factor: 2.303

3.  Higher densities of Foxp3+ regulatory T cells are associated with better prognosis in triple-negative breast cancer.

Authors:  Joe Yeong; Aye Aye Thike; Jeffrey Chun Tatt Lim; Bernett Lee; Huihua Li; Siew-Cheng Wong; Susan Swee Shan Hue; Puay Hoon Tan; Jabed Iqbal
Journal:  Breast Cancer Res Treat       Date:  2017-02-23       Impact factor: 4.872

4.  Catalyzed reporter deposition, a novel method of signal amplification. Application to immunoassays.

Authors:  M N Bobrow; T D Harris; K J Shaughnessy; G J Litt
Journal:  J Immunol Methods       Date:  1989-12-20       Impact factor: 2.303

5.  The role of lymph node dissection for clinical stage I malignant melanoma of intermediate thickness (1.51-3.99 mm).

Authors:  D E Elder; D Guerry; M VanHorn; S Hurwitz; L Zehngebot; L I Goldman; D LaRossa; R Hamilton; E E Bondi; W H Clark
Journal:  Cancer       Date:  1985-07-15       Impact factor: 6.860

6.  Macrophage markers in serum and tumor have prognostic impact in American Joint Committee on Cancer stage I/II melanoma.

Authors:  Trine O Jensen; Henrik Schmidt; Holger Jon Møller; Morten Høyer; Maciej Bogdan Maniecki; Pia Sjoegren; Ib Jarle Christensen; Torben Steiniche
Journal:  J Clin Oncol       Date:  2009-06-15       Impact factor: 44.544

7.  Gene expression in local stroma reflects breast tumor states and predicts patient outcome.

Authors:  Russell Bainer; Casey Frankenberger; Daniel Rabe; Gary An; Yoav Gilad; Marsha Rich Rosner
Journal:  Sci Rep       Date:  2016-12-16       Impact factor: 4.379

8.  Spatial computation of intratumoral T cells correlates with survival of patients with pancreatic cancer.

Authors:  Julienne L Carstens; Pedro Correa de Sampaio; Dalu Yang; Souptik Barua; Huamin Wang; Arvind Rao; James P Allison; Valerie S LeBleu; Raghu Kalluri
Journal:  Nat Commun       Date:  2017-04-27       Impact factor: 14.919

9.  Topological analysis reveals a PD-L1-associated microenvironmental niche for Reed-Sternberg cells in Hodgkin lymphoma.

Authors:  Christopher D Carey; Daniel Gusenleitner; Mikel Lipschitz; Margaretha G M Roemer; Edward C Stack; Evisa Gjini; Xihao Hu; Robert Redd; Gordon J Freeman; Donna Neuberg; F Stephen Hodi; Xiaole Shirley Liu; Margaret A Shipp; Scott J Rodig
Journal:  Blood       Date:  2017-09-11       Impact factor: 22.113

10.  Spatial organization of dendritic cells within tumor draining lymph nodes impacts clinical outcome in breast cancer patients.

Authors:  Andrew Y Chang; Nupur Bhattacharya; Jian Mu; A Francesca Setiadi; Valeria Carcamo-Cavazos; Gerald H Lee; Diana L Simons; Sina Yadegarynia; Kaveh Hemati; Adam Kapelner; Zheng Ming; David N Krag; Erich J Schwartz; Danny Z Chen; Peter P Lee
Journal:  J Transl Med       Date:  2013-10-02       Impact factor: 5.531

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  43 in total

1.  Immune and genomic correlates of response to anti-PD-1 immunotherapy in glioblastoma.

Authors:  Junfei Zhao; Andrew X Chen; Robyn D Gartrell; Andrew M Silverman; Luis Aparicio; Tim Chu; Darius Bordbar; David Shan; Jorge Samanamud; Aayushi Mahajan; Ioan Filip; Rose Orenbuch; Morgan Goetz; Jonathan T Yamaguchi; Michael Cloney; Craig Horbinski; Rimas V Lukas; Jeffrey Raizer; Ali I Rae; Jinzhou Yuan; Peter Canoll; Jeffrey N Bruce; Yvonne M Saenger; Peter Sims; Fabio M Iwamoto; Adam M Sonabend; Raul Rabadan
Journal:  Nat Med       Date:  2019-02-11       Impact factor: 53.440

Review 2.  Prognostic and Predictive Immunohistochemistry-Based Biomarkers in Cancer and Immunotherapy.

Authors:  Emanuelle M Rizk; Robyn D Gartrell; Luke W Barker; Camden L Esancy; Grace G Finkel; Darius D Bordbar; Yvonne M Saenger
Journal:  Hematol Oncol Clin North Am       Date:  2019-01-17       Impact factor: 3.722

3.  Immunotyping and Quantification of Melanoma Tumor-Infiltrating Lymphocytes.

Authors:  Max O Meneveau; Zeyad T Sahli; Kevin T Lynch; Ileana S Mauldin; Craig L Slingluff
Journal:  Methods Mol Biol       Date:  2021

4.  High-Plex Predictive Marker Discovery for Melanoma Immunotherapy-Treated Patients Using Digital Spatial Profiling.

Authors:  Maria I Toki; Christopher R Merritt; Pok Fai Wong; James W Smithy; Harriet M Kluger; Konstantinos N Syrigos; Giang T Ong; Sarah E Warren; Joseph M Beechem; David L Rimm
Journal:  Clin Cancer Res       Date:  2019-06-12       Impact factor: 12.531

Review 5.  Biomarkers Predictive of Survival and Response to Immune Checkpoint Inhibitors in Melanoma.

Authors:  Emanuelle M Rizk; Angelina M Seffens; Megan H Trager; Michael R Moore; Larisa J Geskin; Robyn D Gartrell-Corrado; Winston Wong; Yvonne M Saenger
Journal:  Am J Clin Dermatol       Date:  2020-02       Impact factor: 7.403

6.  Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.

Authors:  Prathamesh M Kulkarni; Eric J Robinson; Jing Wang; Yvonne M Saenger; Jaya Sarin Pradhan; Robyn D Gartrell-Corrado; Bethany R Rohr; Megan H Trager; Larisa J Geskin; Harriet M Kluger; Pok Fai Wong; Balazs Acs; Emanuelle M Rizk; Chen Yang; Manas Mondal; Michael R Moore; Iman Osman; Robert Phelps; Basil A Horst; Zhe S Chen; Tammie Ferringer; David L Rimm
Journal:  Clin Cancer Res       Date:  2019-10-21       Impact factor: 12.531

7.  Distribution pattern of tumor infiltrating lymphocytes and tumor microenvironment composition as prognostic indicators in anorectal malignant melanoma.

Authors:  So-Woon Kim; Young Il Kim; Bilal Mustafa; Mi-Ju Kim; Gowun Jeong; Sung-Min Ahn; Seok-Byung Lim; Chang Sik Yu; Jin Cheon Kim; Seung-Mo Hong; In Ja Park
Journal:  Mod Pathol       Date:  2020-07-24       Impact factor: 7.842

8.  Genetic alterations and expression characteristics of ARID1A impact tumor immune contexture and survival in early-onset gastric cancer.

Authors:  Jun Zou; Wan Qin; Lin Yang; Lulu Wang; Yu Wang; Jianfeng Shen; Wei Xiong; Shiying Yu; Shumei Song; Jaffer A Ajani; Shiaw-Yih Lin; Gordon B Mills; Xianglin Yuan; Jianying Chen; Guang Peng
Journal:  Am J Cancer Res       Date:  2020-11-01       Impact factor: 6.166

9.  Validation of Melanoma Immune Profile (MIP), a Prognostic Immune Gene Prediction Score for Stage II-III Melanoma.

Authors:  Robyn D Gartrell; Douglas K Marks; Emanuelle M Rizk; Margaret Bogardus; Camille L Gérard; Luke W Barker; Yichun Fu; Camden L Esancy; Gen Li; Jiayi Ji; Shumin Rui; Marc S Ernstoff; Bret Taback; Sarabjot Pabla; Rui Chang; Sandra J Lee; John J Krolewski; Carl Morrison; Basil A Horst; Yvonne M Saenger
Journal:  Clin Cancer Res       Date:  2019-01-15       Impact factor: 12.531

10.  The Tumor Microenvironment of Bladder Cancer.

Authors:  Ken Hatogai; Randy F Sweis
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

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