2020
The path to a better biomarker: application of a risk management framework for the implementation of PD‐L1 and TILs as immuno‐oncology biomarkers in breast cancer clinical trials and daily practice
Gonzalez‐Ericsson P, Stovgaard ES, Sua LF, Reisenbichler E, Kos Z, Carter JM, Michiels S, Le Quesne J, Nielsen TO, Lænkholm A, Fox SB, Adam J, Bartlett JM, Rimm DL, Quinn C, Peeters D, Dieci MV, Vincent‐Salomon A, Cree I, Hida AI, Balko JM, Haynes HR, Frahm I, Acosta‐Haab G, Balancin M, Bellolio E, Yang W, Kirtani P, Sugie T, Ehinger A, Castaneda CA, Kok M, McArthur H, Siziopikou K, Badve S, Fineberg S, Gown A, Viale G, Schnitt SJ, Pruneri G, Penault‐Llorca F, Hewitt S, Thompson EA, Allison KH, Symmans WF, Bellizzi AM, Brogi E, Moore DA, Larsimont D, Dillon DA, Lazar A, Lien H, Goetz MP, Broeckx G, Bairi K, Harbeck N, Cimino‐Mathews A, Sotiriou C, Adams S, Liu S, Loibl S, Chen I, Lakhani SR, Juco JW, Denkert C, Blackley EF, Demaria S, Leon‐Ferre R, Gluz O, Zardavas D, Emancipator K, Ely S, Loi S, Salgado R, Sanders M, Group I. The path to a better biomarker: application of a risk management framework for the implementation of PD‐L1 and TILs as immuno‐oncology biomarkers in breast cancer clinical trials and daily practice. The Journal Of Pathology 2020, 250: 667-684. PMID: 32129476, DOI: 10.1002/path.5406.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerTumor-infiltrating lymphocytesPD-L1Breast cancerPatient selectionInter-reader reproducibilityEarly-stage triple-negative breast cancerPD-1/PD-L1 inhibitorsStage triple-negative breast cancerAdvanced triple-negative breast cancerPD-1/PD-L1High tumor-infiltrating lymphocytesImmune checkpoint inhibitor therapyAddition of atezolizumabPD-L1 assessmentSuboptimal patient selectionCheckpoint inhibitor therapyOptimal patient selectionPD-L1 expressionPD-L1 inhibitorsDaily practiceStandard of careImmuno-therapeutic approachesNegative breast cancerEosin-stained slides
2019
“Interchangeability” of PD-L1 immunohistochemistry assays: a meta-analysis of diagnostic accuracy
Torlakovic E, Lim HJ, Adam J, Barnes P, Bigras G, Chan AWH, Cheung CC, Chung JH, Couture C, Fiset PO, Fujimoto D, Han G, Hirsch FR, Ilie M, Ionescu D, Li C, Munari E, Okuda K, Ratcliffe MJ, Rimm DL, Ross C, Røge R, Scheel AH, Soo RA, Swanson PE, Tretiakova M, To KF, Vainer GW, Wang H, Xu Z, Zielinski D, Tsao MS. “Interchangeability” of PD-L1 immunohistochemistry assays: a meta-analysis of diagnostic accuracy. Modern Pathology 2019, 33: 4-17. PMID: 31383961, PMCID: PMC6927905, DOI: 10.1038/s41379-019-0327-4.Peer-Reviewed Original ResearchConceptsPD-L1 assaysPD-L1Drug AdministrationDiagnostic accuracyDifferent PD-L1 assaysPD-L1 assessmentPD-L1 immunohistochemistryMain outcome measuresQUADAS-2 criteriaRandom-effects modelDiagnostic accuracy studiesOutcome measuresMEDLINE databaseSystematic reviewPubMed platformSystematic searchAdministrationSearch termsSTARD 2015Accuracy studiesPrimary objectiveAssaysData abstractionDifferent clonesFood
2016
Quantitative and pathologist-read comparison of the heterogeneity of programmed death-ligand 1 (PD-L1) expression in non-small cell lung cancer
Rehman JA, Han G, Carvajal-Hausdorf DE, Wasserman BE, Pelekanou V, Mani NL, McLaughlin J, Schalper KA, Rimm DL. Quantitative and pathologist-read comparison of the heterogeneity of programmed death-ligand 1 (PD-L1) expression in non-small cell lung cancer. Modern Pathology 2016, 30: 340-349. PMID: 27834350, PMCID: PMC5334264, DOI: 10.1038/modpathol.2016.186.Peer-Reviewed Original ResearchConceptsPD-L1 expressionPD-L1Immune cellsImmune cell PD-L1 expressionNon-small cell lung cancerNon-small cell lung cancer (NSCLC) casesCell lung cancer casesTumor cellsPD-L1 assessmentStromal immune cellsPD-L1 positivityCell lung cancerLung cancer patientsLung cancer casesRepresentative tumor areasPathologist scoresLikelihood of responseConcordance correlation coefficientRabbit monoclonal antibodyIntraclass correlation coefficientCancer patientsLung cancerImmunohistochemistry slidesCancer casesTumor tissue