Literature DB >> 30617133

Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes and Immunotherapy Outcome in Metastatic Melanoma.

Pok Fai Wong1,2, Wei Wei3, James W Smithy1,2, Balazs Acs1,2, Maria I Toki1,2, Kim R M Blenman4, Daniel Zelterman3, Harriet M Kluger2,5, David L Rimm6,2,5.   

Abstract

PURPOSE: Because durable response to programmed cell death 1 (PD-1) inhibition is limited to a subset of melanoma patients, new predictive biomarkers could have clinical utility. We hypothesize that pretreatment tumor-infiltrating lymphocyte (TIL) profiles could be associated with response. EXPERIMENTAL
DESIGN: Pretreatment whole tissue sections from 94 melanoma patients treated with anti-PD-1 therapy were profiled by multiplex immunofluorescence to perform TIL quantification (CD4, CD8, CD20) and assess TIL activation (CD3, GZMB, Ki67). Two independent image analysis technologies were used: inForm (PerkinElmer) to determine cell counts, and AQUA to measure protein by quantitative immunofluorescence (QIF). TIL parameters by both methodologies were correlated with objective response or disease control rate (ORR/DCR) by RECIST 1.1 and survival outcome.
RESULTS: Pretreatment lymphocytic infiltration, by cell counts or QIF, was significantly higher in complete or partial response than in stable or progressive disease, particularly for CD8 (P < 0.0001). Neither TIL activation nor dormancy was associated with outcome. CD8 associations with progression-free survival (HR > 3) were independently significant in multivariable analyses and accounted for similar CD3 associations in anti-PD-1-treated patients. CD8 was not associated with melanoma prognosis in the absence of immunotherapy. Predictive performance of CD8 cell count (and QIF) had an area under the ROC curve above 0.75 (ORR/DCR), which reached 0.83 for ipilimumab plus nivolumab.
CONCLUSIONS: Pretreatment lymphocytic infiltration is associated with anti-PD-1 response in metastatic melanoma. Quantitative TIL analysis has potential for application in digital precision immuno-oncology as an "indicative" companion diagnostic. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 30617133      PMCID: PMC6467753          DOI: 10.1158/1078-0432.CCR-18-2652

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  29 in total

1.  Tumor-infiltrating lymphocyte grade in primary melanomas is independently associated with melanoma-specific survival in the population-based genes, environment and melanoma study.

Authors:  Nancy E Thomas; Klaus J Busam; Lynn From; Anne Kricker; Bruce K Armstrong; Hoda Anton-Culver; Stephen B Gruber; Richard P Gallagher; Roberto Zanetti; Stefano Rosso; Terence Dwyer; Alison Venn; Peter A Kanetsky; Pamela A Groben; Honglin Hao; Irene Orlow; Anne S Reiner; Li Luo; Susan Paine; David W Ollila; Homer Wilcox; Colin B Begg; Marianne Berwick
Journal:  J Clin Oncol       Date:  2013-10-14       Impact factor: 44.544

2.  Multiplexed quantitative analysis of CD3, CD8, and CD20 predicts response to neoadjuvant chemotherapy in breast cancer.

Authors:  Jason R Brown; Hallie Wimberly; Donald R Lannin; Christian Nixon; David L Rimm; Veerle Bossuyt
Journal:  Clin Cancer Res       Date:  2014-09-25       Impact factor: 12.531

3.  Association of PD-1/PD-L axis expression with cytolytic activity, mutational load, and prognosis in melanoma and other solid tumors.

Authors:  Ludmila Danilova; Hao Wang; Joel Sunshine; Genevieve J Kaunitz; Tricia R Cottrell; Haiying Xu; Jessica Esandrio; Robert A Anders; Leslie Cope; Drew M Pardoll; Charles G Drake; Janis M Taube
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-11       Impact factor: 11.205

4.  Genomic Classification of Cutaneous Melanoma.

Authors: 
Journal:  Cell       Date:  2015-06-18       Impact factor: 41.582

5.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

6.  Adjuvant Nivolumab versus Ipilimumab in Resected Stage III or IV Melanoma.

Authors:  Jeffrey Weber; Mario Mandala; Michele Del Vecchio; Helen J Gogas; Ana M Arance; C Lance Cowey; Stéphane Dalle; Michael Schenker; Vanna Chiarion-Sileni; Ivan Marquez-Rodas; Jean-Jacques Grob; Marcus O Butler; Mark R Middleton; Michele Maio; Victoria Atkinson; Paola Queirolo; Rene Gonzalez; Ragini R Kudchadkar; Michael Smylie; Nicolas Meyer; Laurent Mortier; Michael B Atkins; Georgina V Long; Shailender Bhatia; Celeste Lebbé; Piotr Rutkowski; Kenji Yokota; Naoya Yamazaki; Tae M Kim; Veerle de Pril; Javier Sabater; Anila Qureshi; James Larkin; Paolo A Ascierto
Journal:  N Engl J Med       Date:  2017-09-10       Impact factor: 91.245

7.  A single-institution validation of the AJCC staging system for stage IV melanoma.

Authors:  Heather B Neuman; Ami Patel; Nicole Ishill; Christine Hanlon; Mary Sue Brady; Allan C Halpern; Alan Houghton; Daniel G Coit
Journal:  Ann Surg Oncol       Date:  2008-05-09       Impact factor: 5.344

Review 8.  Quantitative measurement of cancer tissue biomarkers in the lab and in the clinic.

Authors:  Daniel E Carvajal-Hausdorf; Kurt A Schalper; Veronique M Neumeister; David L Rimm
Journal:  Lab Invest       Date:  2014-12-15       Impact factor: 5.662

9.  PD-1 blockade induces responses by inhibiting adaptive immune resistance.

Authors:  Paul C Tumeh; Christina L Harview; Jennifer H Yearley; I Peter Shintaku; Emma J M Taylor; Lidia Robert; Bartosz Chmielowski; Marko Spasic; Gina Henry; Voicu Ciobanu; Alisha N West; Manuel Carmona; Christine Kivork; Elizabeth Seja; Grace Cherry; Antonio J Gutierrez; Tristan R Grogan; Christine Mateus; Gorana Tomasic; John A Glaspy; Ryan O Emerson; Harlan Robins; Robert H Pierce; David A Elashoff; Caroline Robert; Antoni Ribas
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

10.  A dormant TIL phenotype defines non-small cell lung carcinomas sensitive to immune checkpoint blockers.

Authors:  S N Gettinger; J Choi; N Mani; M F Sanmamed; I Datar; Ryan Sowell; Victor Y Du; E Kaftan; S Goldberg; W Dong; D Zelterman; K Politi; P Kavathas; S Kaech; X Yu; H Zhao; J Schlessinger; R Lifton; D L Rimm; L Chen; R S Herbst; K A Schalper
Journal:  Nat Commun       Date:  2018-08-10       Impact factor: 14.919

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  37 in total

1.  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

Review 2.  Tumor-Infiltrating Lymphocytes in the Checkpoint Inhibitor Era.

Authors:  Gerald P Linette; Beatriz M Carreno
Journal:  Curr Hematol Malig Rep       Date:  2019-08       Impact factor: 3.952

3.  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 4.  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

5.  Multiomic analysis and immunoprofiling reveal distinct subtypes of human angiosarcoma.

Authors:  Jason Yongsheng Chan; Jing Quan Lim; Joe Yeong; Vinod Ravi; Peiyong Guan; Arnoud Boot; Timothy Kwang Yong Tay; Sathiyamoorthy Selvarajan; Nur Diyana Md Nasir; Jie Hua Loh; Choon Kiat Ong; Dachuan Huang; Jing Tan; Zhimei Li; Cedric Chuan-Young Ng; Thuan Tong Tan; Mikio Masuzawa; Ken Wing-Kin Sung; Mohamad Farid; Richard Hong Hui Quek; Ngian Chye Tan; Melissa Ching Ching Teo; Steven George Rozen; Patrick Tan; Andrew Futreal; Bin Tean Teh; Khee Chee Soo
Journal:  J Clin Invest       Date:  2020-11-02       Impact factor: 14.808

6.  Qualifying antibodies for image-based immune profiling and multiplexed tissue imaging.

Authors:  Ziming Du; Jia-Ren Lin; Rumana Rashid; Zoltan Maliga; Shu Wang; Jon C Aster; Benjamin Izar; Peter K Sorger; Sandro Santagata
Journal:  Nat Protoc       Date:  2019-09-18       Impact factor: 13.491

7.  Risk Models for Advanced Melanoma Patients Under Anti-PD-1 Monotherapy-Ad hoc Analyses of Pooled Data From Two Clinical Trials.

Authors:  Xue Bai; Jie Dai; Caili Li; Chuanliang Cui; Lili Mao; Xiaoting Wei; Xinan Sheng; Zhihong Chi; Xieqiao Yan; Bixia Tang; Bin Lian; Xuan Wang; Li Zhou; Siming Li; Yan Kong; Zhonghui Qi; Huayan Xu; Rong Duan; Jun Guo; Lu Si
Journal:  Front Oncol       Date:  2021-05-20       Impact factor: 6.244

8.  Association of Lymphocyte-to-Monocyte Ratio With Survival in Advanced Gastric Cancer Patients Treated With Immune Checkpoint Inhibitor.

Authors:  Yang Chen; Cheng Zhang; Zhi Peng; Changsong Qi; Jifang Gong; Xiaotian Zhang; Jian Li; Lin Shen
Journal:  Front Oncol       Date:  2021-06-01       Impact factor: 6.244

9.  Multi-institutional TSA-amplified Multiplexed Immunofluorescence Reproducibility Evaluation (MITRE) Study.

Authors:  Janis M Taube; Kristin Roman; Elizabeth L Engle; Chichung Wang; Carmen Ballesteros-Merino; Shawn M Jensen; John McGuire; Mei Jiang; Carla Coltharp; Bethany Remeniuk; Ignacio Wistuba; Darren Locke; Edwin R Parra; Bernard A Fox; David L Rimm; Cliff Hoyt
Journal:  J Immunother Cancer       Date:  2021-07       Impact factor: 13.751

10.  Low Infiltration of CD8+ PD-L1+ T Cells and M2 Macrophages Predicts Improved Clinical Outcomes After Immune Checkpoint Inhibitor Therapy in Non-Small Cell Lung Carcinoma.

Authors:  Liuning Li; Guojie Lu; Yang Liu; Longlong Gong; Xue Zheng; Hongbo Zheng; Weiguang Gu; Lin Yang
Journal:  Front Oncol       Date:  2021-06-04       Impact factor: 6.244

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