Literature DB >> 25255793

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

Jason R Brown1, Hallie Wimberly1, Donald R Lannin2, Christian Nixon1, David L Rimm3, Veerle Bossuyt1.   

Abstract

PURPOSE: Although tumor-infiltrating lymphocytes (TIL) have been associated with response to neoadjuvant therapy, measurement typically is subjective, semiquantitative, and unable to differentiate among subpopulations. Here, we describe a quantitative objective method for analyzing lymphocyte subpopulations and assessing their predictive value. EXPERIMENTAL
DESIGN: We developed a quantitative immunofluorescence assay to measure stromal expression of CD3, CD8, and CD20 on one slide. We validated this assay by comparison with flow cytometry on tonsil specimens and assessed predictive value in breast cancer on a neoadjuvant cohort (n = 95). Then, each marker was tested for prediction of pathologic complete response (pCR) compared with pathologist estimation of the percentage of lymphocyte infiltrate.
RESULTS: The lymphocyte percentage and CD3, CD8, and CD20 proportions were similar between flow cytometry and quantitative immunofluorescence on tonsil specimens. Pathologist TIL count predicted pCR [P = 0.043; OR, 4.77; 95% confidence interval (CI), 1.05-21.6] despite fair interobserver reproducibility (κ = 0.393). Stromal AQUA (automated quantitative analysis) scores for CD3 (P = 0.023; OR, 2.51; 95% CI, 1.13-5.57), CD8 (P = 0.029; OR, 2.00; 95% CI, 1.08-3.72), and CD20 (P = 0.005; OR, 1.80; 95% CI, 1.19-2.72) predicted pCR in univariate analysis. CD20 AQUA score predicted pCR (P = 0.019; OR, 5.37; 95% CI, 1.32-21.8) independently of age, size, nuclear grade, nodal status, ER, PR, HER2, and Ki-67, whereas CD3, CD8, and pathologist estimation did not.
CONCLUSIONS: We have developed and validated an objective, quantitative assay measuring TILs in breast cancer. Although this work provides analytic validity, future larger studies will be required to prove clinical utility. ©2014 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25255793      PMCID: PMC4252785          DOI: 10.1158/1078-0432.CCR-14-1622

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


  35 in total

Review 1.  Proceedings of the consensus conference on neoadjuvant chemotherapy in carcinoma of the breast, April 26-28, 2003, Philadelphia, Pennsylvania.

Authors:  Gordon F Schwartz; Gabriel N Hortobagyi
Journal:  Cancer       Date:  2004-06-15       Impact factor: 6.860

2.  Automated analysis of tissue microarrays.

Authors:  Marisa Dolled-Filhart; Mark Gustavson; Robert L Camp; David L Rimm; John L Tonkinson; Jason Christiansen
Journal:  Methods Mol Biol       Date:  2010

3.  Tumor-infiltrating lymphocytes predict response to neoadjuvant chemotherapy in patients with breast carcinoma.

Authors:  Helena Hornychova; Bohuslav Melichar; Marketa Tomsova; Jindøiska Mergancova; Hana Urminska; Ales Ryska
Journal:  Cancer Invest       Date:  2008-12       Impact factor: 2.176

4.  Tumor-infiltrating lymphocytes are correlated with response to neoadjuvant chemotherapy in triple-negative breast cancer.

Authors:  Makiko Ono; Hitoshi Tsuda; Chikako Shimizu; Sohei Yamamoto; Tatsuhiro Shibata; Harukaze Yamamoto; Taizo Hirata; Kan Yonemori; Masashi Ando; Kenji Tamura; Noriyuki Katsumata; Takayuki Kinoshita; Yuichi Takiguchi; Hideki Tanzawa; Yasuhiro Fujiwara
Journal:  Breast Cancer Res Treat       Date:  2011-05-12       Impact factor: 4.872

5.  Tumor-infiltrating CD8+ lymphocytes predict clinical outcome in breast cancer.

Authors:  Sahar M A Mahmoud; Emma Claire Paish; Desmond G Powe; R Douglas Macmillan; Matthew J Grainge; Andrew H S Lee; Ian O Ellis; Andrew R Green
Journal:  J Clin Oncol       Date:  2011-04-11       Impact factor: 44.544

Review 6.  CD20+ B cells: the other tumor-infiltrating lymphocytes.

Authors:  Brad H Nelson
Journal:  J Immunol       Date:  2010-11-01       Impact factor: 5.422

7.  Linear quantification of lymphoid infiltration of the tumor margin: a reproducible method, developed with colorectal cancer tissues, for assessing a highly variable prognostic factor.

Authors:  Marc-Antoine Allard; Jean Baptiste Bachet; Alain Beauchet; Catherine Julie; Robert Malafosse; Christophe Penna; Bernard Nordlinger; Jean-François Emile
Journal:  Diagn Pathol       Date:  2012-11-13       Impact factor: 2.644

8.  Lymphocyte and monocyte flow cytometry immunophenotyping as a diagnostic tool in uncharacteristic inflammatory disorders.

Authors:  Helena Janols; Anders Bredberg; Irene Thuvesson; Sabina Janciauskiene; Olof Grip; Marlene Wullt
Journal:  BMC Infect Dis       Date:  2010-07-13       Impact factor: 3.090

9.  Estimation of immune cell densities in immune cell conglomerates: an approach for high-throughput quantification.

Authors:  Niels Halama; Inka Zoernig; Anna Spille; Kathi Westphal; Peter Schirmacher; Dirk Jaeger; Niels Grabe
Journal:  PLoS One       Date:  2009-11-16       Impact factor: 3.240

10.  Tumor-associated lymphocytes predict response to neoadjuvant chemotherapy in breast cancer patients.

Authors:  Hee Jin Lee; Jin-Young Seo; Jin-Hee Ahn; Sei-Hyun Ahn; Gyungyub Gong
Journal:  J Breast Cancer       Date:  2013-03-31       Impact factor: 3.588

View more
  79 in total

1.  Immune Cell PD-L1 Colocalizes with Macrophages and Is Associated with Outcome in PD-1 Pathway Blockade Therapy.

Authors:  Yuting Liu; Jon Zugazagoitia; Fahad Shabbir Ahmed; Brian S Henick; Scott N Gettinger; Roy S Herbst; Kurt A Schalper; David L Rimm
Journal:  Clin Cancer Res       Date:  2019-10-15       Impact factor: 12.531

2.  The combined presence of CD20 + B cells and PD-L1 + tumor-infiltrating lymphocytes in inflammatory breast cancer is prognostic of improved patient outcome.

Authors:  H Arias-Pulido; A Cimino-Mathews; N Chaher; C Qualls; N Joste; C Colpaert; J D Marotti; M Foisey; E R Prossnitz; L A Emens; S Fiering
Journal:  Breast Cancer Res Treat       Date:  2018-06-01       Impact factor: 4.872

Review 3.  Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group.

Authors:  Mohamed Amgad; Elisabeth Specht Stovgaard; Eva Balslev; Jeppe Thagaard; Weijie Chen; Sarah Dudgeon; Ashish Sharma; Jennifer K Kerner; Carsten Denkert; Yinyin Yuan; Khalid AbdulJabbar; Stephan Wienert; Peter Savas; Leonie Voorwerk; Andrew H Beck; Anant Madabhushi; Johan Hartman; Manu M Sebastian; Hugo M Horlings; Jan Hudeček; Francesco Ciompi; David A Moore; Rajendra Singh; Elvire Roblin; Marcelo Luiz Balancin; Marie-Christine Mathieu; Jochen K Lennerz; Pawan Kirtani; I-Chun Chen; Jeremy P Braybrooke; Giancarlo Pruneri; Sandra Demaria; Sylvia Adams; Stuart J Schnitt; Sunil R Lakhani; Federico Rojo; Laura Comerma; Sunil S Badve; Mehrnoush Khojasteh; W Fraser Symmans; Christos Sotiriou; Paula Gonzalez-Ericsson; Katherine L Pogue-Geile; Rim S Kim; David L Rimm; Giuseppe Viale; Stephen M Hewitt; John M S Bartlett; Frédérique Penault-Llorca; Shom Goel; Huang-Chun Lien; Sibylle Loibl; Zuzana Kos; Sherene Loi; Matthew G Hanna; Stefan Michiels; Marleen Kok; Torsten O Nielsen; Alexander J Lazar; Zsuzsanna Bago-Horvath; Loes F S Kooreman; Jeroen A W M van der Laak; Joel Saltz; Brandon D Gallas; Uday Kurkure; Michael Barnes; Roberto Salgado; Lee A D Cooper
Journal:  NPJ Breast Cancer       Date:  2020-05-12

4.  Assessment of PD-1 positive cells on initial and secondary resected tumor specimens of newly diagnosed glioblastoma and its implications on patient outcome.

Authors:  Tsubasa Miyazaki; Eiichi Ishikawa; Masahide Matsuda; Hiroyoshi Akutsu; Satoru Osuka; Noriaki Sakamoto; Shingo Takano; Tetsuya Yamamoto; Koji Tsuboi; Akira Matsumura
Journal:  J Neurooncol       Date:  2017-04-26       Impact factor: 4.130

Review 5.  Enhancing the Value of Histopathological Assessment of Allograft Biopsy Monitoring.

Authors:  Michelle A Wood-Trageser; Andrew J Lesniak; Anthony J Demetris
Journal:  Transplantation       Date:  2019-07       Impact factor: 4.939

6.  RAS/MAPK Activation Is Associated with Reduced Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Therapeutic Cooperation Between MEK and PD-1/PD-L1 Immune Checkpoint Inhibitors.

Authors:  Sherene Loi; Sathana Dushyanthen; Paul A Beavis; Roberto Salgado; Carsten Denkert; Peter Savas; Susan Combs; David L Rimm; Jennifer M Giltnane; Monica V Estrada; Violeta Sánchez; Melinda E Sanders; Rebecca S Cook; Mark A Pilkinton; Simon A Mallal; Kai Wang; Vincent A Miller; Phil J Stephens; Roman Yelensky; Franco D Doimi; Henry Gómez; Sergey V Ryzhov; Phillip K Darcy; Carlos L Arteaga; Justin M Balko
Journal:  Clin Cancer Res       Date:  2015-10-29       Impact factor: 12.531

7.  The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014.

Authors:  R Salgado; C Denkert; S Demaria; N Sirtaine; F Klauschen; G Pruneri; S Wienert; G Van den Eynden; F L Baehner; F Penault-Llorca; E A Perez; E A Thompson; W F Symmans; A L Richardson; J Brock; C Criscitiello; H Bailey; M Ignatiadis; G Floris; J Sparano; Z Kos; T Nielsen; D L Rimm; K H Allison; J S Reis-Filho; S Loibl; C Sotiriou; G Viale; S Badve; S Adams; K Willard-Gallo; S Loi
Journal:  Ann Oncol       Date:  2014-09-11       Impact factor: 32.976

8.  Immune Marker Profiling and Programmed Death Ligand 1 Expression Across NSCLC Mutations.

Authors:  Maria I Toki; Nikita Mani; James W Smithy; Yuting Liu; Mehmet Altan; Brad Wasserman; Rasikh Tuktamyshov; Kurt Schalper; Konstantinos N Syrigos; David L Rimm
Journal:  J Thorac Oncol       Date:  2018-09-26       Impact factor: 15.609

Review 9.  Adaptive immunity programmes in breast cancer.

Authors:  Frederick S Varn; David W Mullins; Hugo Arias-Pulido; Steven Fiering; Chao Cheng
Journal:  Immunology       Date:  2016-09-20       Impact factor: 7.397

10.  Tumor infiltrating CD19+ B lymphocytes predict prognostic and therapeutic benefits in metastatic renal cell carcinoma patients treated with tyrosine kinase inhibitors.

Authors:  Zhiyuan Lin; Li Liu; Yu Xia; Xiang Chen; Ying Xiong; Yang Qu; Jiajun Wang; Qi Bai; Jianming Guo; Jiejie Xu
Journal:  Oncoimmunology       Date:  2018-08-06       Impact factor: 8.110

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.