Literature DB >> 34097070

PD-L1 Immunohistochemistry Assay Comparison in Atezolizumab plus nab-Paclitaxel-Treated Advanced Triple-Negative Breast Cancer.

Hope S Rugo1, Sherene Loi2, Sylvia Adams3, Peter Schmid4, Andreas Schneeweiss5, Carlos H Barrios6, Hiroji Iwata7, Véronique Diéras8, Eric P Winer9, Mark M Kockx10, Dieter Peeters10, Stephen Y Chui11, Jennifer C Lin11, Anh Nguyen Duc12, Giuseppe Viale13, Luciana Molinero11, Leisha A Emens14.   

Abstract

BACKGROUND: In the Phase III IMpassion130 study, atezolizumab plus nab-paclitaxel (A+nP) showed clinical benefit in advanced/metastatic triple-negative breast cancer (TNBC) patients who were programmed death-ligand 1 (PD-L1) + (tumor-infiltrating immune cells [IC] ≥1%) using the SP142 immunohistochemistry (IHC) assay. Here we evaluate 2 other PD-L1 assays for analytical concordance with SP142 and patient-associated clinical outcomes.
METHODS: Samples from 614 patients (68.1% of intention-to-treat population) were centrally evaluated by IHC for PD-L1 status on IC (VENTANA SP142, SP263, Dako 22C3) or as a combined positive score (CPS; 22C3).
RESULTS: Using SP142, SP263, and 22C3 assays, PD-L1 IC ≥ 1% prevalence was 46.4% (95% confidence interval [CI] = 42.5-50.4%), 74.9% (95% CI = 71.5-78.3%), and 73.1% (95% CI = 69.6-76.6%), respectively; 80.9% were 22C3 at CPS ≥1. At IC ≥ 1% (+), the analytical concordance between SP142 and SP263 and 22C3 was 69.2% and 68.7%, respectively. Almost all SP142+ cases were captured by other assays (double positive), but several SP263 + (29.6%) or 22C3 + (29.0%) cases were SP142- (single positive). A+nP clinical activity vs placebo+nP in SP263+ and 22C3+ patients (progression-free survival [PFS] hazard ratios [HRs] = 0.64-0.68; overall survival [OS] HRs = 0.75-0.79) was driven by double-positive (PFS HRs = 0.60-0.61; OS HRs = 0.71-0.75) rather than single-positive cases (PFS HRs = 0.68-0.81; OS HRs = 0.87-0.95). Concordance for harmonized cutoffs for SP263 (IC ≥ 4%) and 22C3 (CPS ≥10) to SP142 IC ≥ 1% was subpar (approximately 75%).
CONCLUSIONS: 22C3 and SP263 assays identified more patients as PD-L1 + (IC ≥ 1%) than SP142. No inter-assay analytical equivalency was observed. Consistent improved A+nP efficacy was captured by the SP142 PD-L1 IC ≥ 1% subgroup nested within 22C3 and SP263 PD-L1 + (IC ≥ 1%) populations.
© The Author(s) 2021. Published by Oxford University Press.

Entities:  

Year:  2021        PMID: 34097070     DOI: 10.1093/jnci/djab108

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  19 in total

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5.  SP142 PD-L1 Assays in Multiple Samples from the Same Patients with Early or Advanced Triple-Negative Breast Cancer.

Authors:  Seung Ho Baek; Jee Hung Kim; Soong June Bae; Jung Hwan Ji; Yangkyu Lee; Joon Jeong; Yoon Jin Cha; Sung Gwe Ahn
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6.  PD-L1 Expression Scoring: Non-Interchangeable, Non-Interpretable, Neither, or Both.

Authors:  Niki Gavrielatou; Saba Shafi; Patricia Gaule; David L Rimm
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Review 7.  Immune-related biomarkers in triple-negative breast cancer.

Authors:  Juan Zhang; Qi Tian; Mi Zhang; Hui Wang; Lei Wu; Jin Yang
Journal:  Breast Cancer       Date:  2021-04-09       Impact factor: 4.239

8.  Prevalence of predictive biomarkers in a large cohort of molecularly defined adult-type ovarian granulosa cell tumors.

Authors:  R Tyler Hillman; Douglas I Lin; Barrett Lawson; David M Gershenson
Journal:  Gynecol Oncol       Date:  2021-07-06       Impact factor: 5.304

Review 9.  Programmed Death-Ligand 1 (PD-L1) as Immunotherapy Biomarker in Breast Cancer.

Authors:  Martín Núñez Abad; Silvia Calabuig-Fariñas; Miriam Lobo de Mena; Susana Torres-Martínez; Clara García González; José Ángel García García; Vega Iranzo González-Cruz; Carlos Camps Herrero
Journal:  Cancers (Basel)       Date:  2022-01-08       Impact factor: 6.639

10.  A combined hypoxia and immune gene signature for predicting survival and risk stratification in triple-negative breast cancer.

Authors:  Xia Yang; Xin Weng; Yajie Yang; Meng Zhang; Yingjie Xiu; Wenfeng Peng; Xuhui Liao; Meiquan Xu; Yanhua Sun; Xia Liu
Journal:  Aging (Albany NY)       Date:  2021-08-02       Impact factor: 5.682

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