Literature DB >> 25527356

PD-L1 Expression Correlates with Tumor-Infiltrating Lymphocytes and Response to Neoadjuvant Chemotherapy in Breast Cancer.

Hallie Wimberly1, Jason R Brown1, Kurt Schalper1, Herbert Haack2, Matthew R Silver2, Christian Nixon1, Veerle Bossuyt1, Lajos Pusztai3, Donald R Lannin4, David L Rimm5.   

Abstract

Programmed death 1 ligand 1 (PD-L1) is an immune regulatory molecule that limits antitumor immune activity. Targeting of PD-L1 and other immune checkpoint proteins has shown therapeutic activity in various tumor types. The expression of PD-L1 and its correlation with response to neoadjuvant chemotherapy in breast cancer has not been studied extensively. Our goal was to assess PD-L1 expression in a cohort of breast cancer patients treated with neoadjuvant chemotherapy. Pretreatment biopsies from 105 patients with breast cancer from Yale New Haven Hospital that subsequently received neoadjuvant chemotherapy were assessed for PD-L1 protein expression by automated quantitative analysis with a rabbit monoclonal antibody (E1L3N) to the cytoplasmic domain of PD-L1. In addition, tumor-infiltrating lymphocytes (TIL) were assessed on hematoxylin and eosin slides. PD-L1 expression was observed in 30% of patients, and it was positively associated with hormone-receptor-negative and triple-negative status and high levels of TILs. Both TILs and PD-L1 measured in the epithelium or stroma predicted pathologic complete response (pCR) to neoadjuvant chemotherapy in univariate and multivariate analyses. However, because they are strongly associated, TILs and PD-L1 cannot both be included in a significant multivariate model. PD-L1 expression is prevalent in breast cancer, particularly hormone-receptor-negative and triple-negative patients, indicating a subset of patients that may benefit from immune therapy. Furthermore, PD-L1 and TILs correlate with pCR, and high PD-L1 predicts pCR in multivariate analysis. ©2014 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25527356      PMCID: PMC4390454          DOI: 10.1158/2326-6066.CIR-14-0133

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


  29 in total

1.  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

2.  Quantitative assessment Ki-67 score for prediction of response to neoadjuvant chemotherapy in breast cancer.

Authors:  Jason R Brown; Michael P DiGiovanna; Brigid Killelea; Donald R Lannin; David L Rimm
Journal:  Lab Invest       Date:  2013-11-04       Impact factor: 5.662

3.  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

4.  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

5.  Prognostic value of pathologic complete response after primary chemotherapy in relation to hormone receptor status and other factors.

Authors:  Valentina Guarneri; Kristine Broglio; Shu-Wan Kau; Massimo Cristofanilli; Aman U Buzdar; Vicente Valero; Thomas Buchholz; Funda Meric; Lavinia Middleton; Gabriel N Hortobagyi; Ana M Gonzalez-Angulo
Journal:  J Clin Oncol       Date:  2006-03-01       Impact factor: 44.544

6.  Automated subcellular localization and quantification of protein expression in tissue microarrays.

Authors:  Robert L Camp; Gina G Chung; David L Rimm
Journal:  Nat Med       Date:  2002-10-21       Impact factor: 53.440

7.  Safety, activity, and immune correlates of anti-PD-1 antibody in cancer.

Authors:  Suzanne L Topalian; F Stephen Hodi; Julie R Brahmer; Scott N Gettinger; David C Smith; David F McDermott; John D Powderly; Richard D Carvajal; Jeffrey A Sosman; Michael B Atkins; Philip D Leming; David R Spigel; Scott J Antonia; Leora Horn; Charles G Drake; Drew M Pardoll; Lieping Chen; William H Sharfman; Robert A Anders; Janis M Taube; Tracee L McMiller; Haiying Xu; Alan J Korman; Maria Jure-Kunkel; Shruti Agrawal; Daniel McDonald; Georgia D Kollia; Ashok Gupta; Jon M Wigginton; Mario Sznol
Journal:  N Engl J Med       Date:  2012-06-02       Impact factor: 91.245

8.  Safety and tumor responses with lambrolizumab (anti-PD-1) in melanoma.

Authors:  Omid Hamid; Caroline Robert; Adil Daud; F Stephen Hodi; Wen-Jen Hwu; Richard Kefford; Jedd D Wolchok; Peter Hersey; Richard W Joseph; Jeffrey S Weber; Roxana Dronca; Tara C Gangadhar; Amita Patnaik; Hassane Zarour; Anthony M Joshua; Kevin Gergich; Jeroen Elassaiss-Schaap; Alain Algazi; Christine Mateus; Peter Boasberg; Paul C Tumeh; Bartosz Chmielowski; Scot W Ebbinghaus; Xiaoyun Nicole Li; S Peter Kang; Antoni Ribas
Journal:  N Engl J Med       Date:  2013-06-02       Impact factor: 91.245

9.  Expression of B7-H1 in breast cancer patients is strongly associated with high proliferative Ki-67-expressing tumor cells.

Authors:  Hazem Ghebeh; Asma Tulbah; Shamayel Mohammed; Naser Elkum; Suad M Bin Amer; Taher Al-Tweigeri; Said Dermime
Journal:  Int J Cancer       Date:  2007-08-15       Impact factor: 7.396

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
  151 in total

1.  Prognostic and Predictive Value of Microsatellite Instability, Inflammatory Reaction and PD-L1 in Gastric Cancer Patients Treated with Either Adjuvant 5-FU/LV or Sequential FOLFIRI Followed by Cisplatin and Docetaxel: A Translational Analysis from the ITACA-S Trial.

Authors:  Maria Di Bartolomeo; Federica Morano; Alessandra Raimondi; Rosalba Miceli; Salvatore Corallo; Elena Tamborini; Federica Perrone; Maria Antista; Monica Niger; Alessandro Pellegrinelli; Giovanni Randon; Filippo Pagani; Antonia Martinetti; Giovanni Fucà; Filippo Pietrantonio
Journal:  Oncologist       Date:  2019-11-25

Review 2.  Immune checkpoint blockade for advanced non-small cell lung cancer: challenging clinical scenarios.

Authors:  Rebecca Tay; Arsela Prelaj; Raffaele Califano
Journal:  J Thorac Dis       Date:  2018-05       Impact factor: 2.895

3.  Prognostic and Predictive Value of Microsatellite Instability, Inflammatory Reaction and PD-L1 in Gastric Cancer Patients Treated with Either Adjuvant 5-FU/LV or Sequential FOLFIRI Followed by Cisplatin and Docetaxel: A Translational Analysis from the ITACA-S Trial.

Authors:  Maria Di Bartolomeo; Federica Morano; Alessandra Raimondi; Rosalba Miceli; Salvatore Corallo; Elena Tamborini; Federica Perrone; Maria Antista; Monica Niger; Alessandro Pellegrinelli; Giovanni Randon; Filippo Pagani; Antonia Martinetti; Giovanni Fucà; Filippo Pietrantonio
Journal:  Oncologist       Date:  2019-11-25

4.  Complete rejection of large established breast cancer by local immunochemotherapy with T cell activation against neoantigens.

Authors:  Junxia Gao; Xianlin Yuan; Jia Yuan; Liangping Li
Journal:  Cancer Immunol Immunother       Date:  2021-04-14       Impact factor: 6.968

5.  PD-L1 expression and the immune microenvironment in primary invasive lobular carcinomas of the breast.

Authors:  Elizabeth D Thompson; Janis M Taube; Rebecca J Asch-Kendrick; Aleksandra Ogurtsova; Haiying Xu; Rajni Sharma; Alan Meeker; Pedram Argani; Leisha A Emens; Ashley Cimino-Mathews
Journal:  Mod Pathol       Date:  2017-07-21       Impact factor: 7.842

6.  The Immune Checkpoint Kick Start: Optimization of Neoadjuvant Combination Therapy Using Game Theory.

Authors:  Jeffrey West; Mark Robertson-Tessi; Kimberly Luddy; Derek S Park; Drew F K Williamson; Cathal Harmon; Hung T Khong; Joel Brown; Alexander R A Anderson
Journal:  JCO Clin Cancer Inform       Date:  2019-02

7.  Immune microenvironment of triple-negative breast cancer in African-American and Caucasian women.

Authors:  Tess O'Meara; Anton Safonov; David Casadevall; Tao Qing; Andrea Silber; Brigid Killelea; Christos Hatzis; Lajos Pusztai
Journal:  Breast Cancer Res Treat       Date:  2019-02-06       Impact factor: 4.872

8.  Prognostic implications of the expression levels of different immunoglobulin heavy chain-encoding RNAs in early breast cancer.

Authors:  Christer Larsson; Anna Ehinger; Sofia Winslow; Karin Leandersson; Marie Klintman; Ludvig Dahl; Johan Vallon-Christersson; Jari Häkkinen; Cecilia Hegardt; Jonas Manjer; Lao Saal; Lisa Rydén; Martin Malmberg; Åke Borg; Niklas Loman
Journal:  NPJ Breast Cancer       Date:  2020-07-06

Review 9.  Clinical development of immunotherapies for HER2+ breast cancer: a review of HER2-directed monoclonal antibodies and beyond.

Authors:  Ricardo L B Costa; Brian J Czerniecki
Journal:  NPJ Breast Cancer       Date:  2020-03-12

Review 10.  Epigenetic modifiers in immunotherapy: a focus on checkpoint inhibitors.

Authors:  Manuela Terranova-Barberio; Scott Thomas; Pamela N Munster
Journal:  Immunotherapy       Date:  2016-06       Impact factor: 4.196

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.