2019
Comparison of Biomarker Modalities for Predicting Response to PD-1/PD-L1 Checkpoint Blockade
Lu S, Stein JE, Rimm DL, Wang DW, Bell JM, Johnson DB, Sosman JA, Schalper KA, Anders RA, Wang H, Hoyt C, Pardoll DM, Danilova L, Taube JM. Comparison of Biomarker Modalities for Predicting Response to PD-1/PD-L1 Checkpoint Blockade. JAMA Oncology 2019, 5: 1195-1204. PMID: 31318407, PMCID: PMC6646995, DOI: 10.1001/jamaoncol.2019.1549.Peer-Reviewed Original ResearchAnti-PD-1/PD-L1 therapyPD-L1 immunohistochemistryTumor mutational burdenPD-L1 therapyGene expression profilingMutational burdenAnti-PD-1/PD-L1 treatmentPD-1/PD-L1 checkpoint blockadeAnti-PD-1/PD-L1Tumor typesPD-L1 checkpoint blockadeDifferent solid tumor typesPD-L1 treatmentPretreatment tumor tissueImmunotherapy of cancerDrug Administration approvalSearch of PubMedMeta-Analyses (PRISMA) guidelinesSolid tumor typesNegative predictive valuePreferred Reporting ItemsAnnual meeting abstractsNegative likelihood ratioRelative diagnostic performanceCheckpoint blockade
2017
Assessing Tumor-infiltrating Lymphocytes in Solid Tumors
Hendry S, Salgado R, Gevaert T, Russell PA, John T, Thapa B, Christie M, van de Vijver K, Estrada MV, Gonzalez-Ericsson PI, Sanders M, Solomon B, Solinas C, Van den Eynden GGGM, Allory Y, Preusser M, Hainfellner J, Pruneri G, Vingiani A, Demaria S, Symmans F, Nuciforo P, Comerma L, Thompson EA, Lakhani S, Kim SR, Schnitt S, Colpaert C, Sotiriou C, Scherer SJ, Ignatiadis M, Badve S, Pierce RH, Viale G, Sirtaine N, Penault-Llorca F, Sugie T, Fineberg S, Paik S, Srinivasan A, Richardson A, Wang Y, Chmielik E, Brock J, Johnson DB, Balko J, Wienert S, Bossuyt V, Michiels S, Ternes N, Burchardi N, Luen SJ, Savas P, Klauschen F, Watson PH, Nelson BH, Criscitiello C, O’Toole S, Larsimont D, de Wind R, Curigliano G, André F, Lacroix-Triki M, van de Vijver M, Rojo F, Floris G, Bedri S, Sparano J, Rimm D, Nielsen T, Kos Z, Hewitt S, Singh B, Farshid G, Loibl S, Allison KH, Tung N, Adams S, Willard-Gallo K, Horlings HM, Gandhi L, Moreira A, Hirsch F, Dieci MV, Urbanowicz M, Brcic I, Korski K, Gaire F, Koeppen H, Lo A, Giltnane J, Rebelatto MC, Steele KE, Zha J, Emancipator K, Juco JW, Denkert C, Reis-Filho J, Loi S, Fox SB. Assessing Tumor-infiltrating Lymphocytes in Solid Tumors. Advances In Anatomic Pathology 2017, 24: 235-251. PMID: 28777142, PMCID: PMC5564448, DOI: 10.1097/pap.0000000000000162.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesTIL assessmentInvasive breast carcinomaSolid tumor typesBreast carcinomaSolid tumorsTumor typesDifferent solid tumor typesForm of immunotherapyImmune checkpoint inhibitorsEra of immunotherapyImportant prognostic informationRoutine clinical biomarkersHost immune responseWorking Group guidelinesDiverse solid tumor typesCheckpoint inhibitorsMetastatic settingPrognostic informationGroup guidelinesImmune responseEosin sectionsHistopathologic specimensClinical validityPredictive significance
2009
GOLPH3 modulates mTOR signalling and rapamycin sensitivity in cancer
Scott KL, Kabbarah O, Liang MC, Ivanova E, Anagnostou V, Wu J, Dhakal S, Wu M, Chen S, Feinberg T, Huang J, Saci A, Widlund HR, Fisher DE, Xiao Y, Rimm DL, Protopopov A, Wong KK, Chin L. GOLPH3 modulates mTOR signalling and rapamycin sensitivity in cancer. Nature 2009, 459: 1085-1090. PMID: 19553991, PMCID: PMC2753613, DOI: 10.1038/nature08109.Peer-Reviewed Original ResearchConceptsTarget of rapamycinTrans-Golgi networkHuman cancersGenome-wide copy number analysisCopy number analysisRetromer complexGolgi proteinsHuman cancer cellsRapamycin sensitivityNew oncogeneGOLPH3Integrative analysisPotent oncogeneGenomic profilesBiochemical dataCancer cellsFunction studiesNumber analysisYeastSolid tumor typesCell sizeOncogeneMTORRapamycinMTOR inhibitors