Featured Publications
Machine-learning model derived gene signature predictive of paclitaxel survival benefit in gastric cancer: results from the randomised phase III SAMIT trial
Sundar R, Kumarakulasinghe N, Chan Y, Yoshida K, Yoshikawa T, Miyagi Y, Rino Y, Masuda M, Guan J, Sakamoto J, Tanaka S, Tan A, Hoppe M, Jeyasekharan A, Ng C, De Simone M, Grabsch H, Lee J, Oshima T, Tsuburaya A, Tan P. Machine-learning model derived gene signature predictive of paclitaxel survival benefit in gastric cancer: results from the randomised phase III SAMIT trial. Gut 2021, 71: 676-685. PMID: 33980610, PMCID: PMC8921574, DOI: 10.1136/gutjnl-2021-324060.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAntineoplastic Combined Chemotherapy ProtocolsDisease-Free SurvivalHumansMachine LearningPaclitaxelStomach NeoplasmsConceptsDisease free survivalValidation cohortGastric cancerGene signatureSurvival benefitPac-SensitiveNo survival differenceSelection of patientsGC trialsFree survivalPaclitaxel chemotherapyCurative surgeryMetastatic patientsPredictive biomarkersTraining cohortSurvival differencesIndependent cohortNanoString panelGC patientsPaclitaxelPatientsNanoString profilingCohortGroup trialUFT
2020
Integration of Antiangiogenic Therapy with Cisplatin and Gemcitabine Chemotherapy in Patients with Nasopharyngeal Carcinoma
Chong W, Lim C, Sinha A, Tan C, Chan G, Huang Y, Kumarakulasinghe N, Sundar R, Jeyasekharan A, Loh W, Tay J, Yadav K, Wang L, Wong A, Kong L, Soo R, Lau J, Soon Y, Goh R, Ho F, Chong S, Lee S, Loh K, Tai B, Lim Y, Goh B. Integration of Antiangiogenic Therapy with Cisplatin and Gemcitabine Chemotherapy in Patients with Nasopharyngeal Carcinoma. Clinical Cancer Research 2020, 26: 5320-5328. PMID: 32816944, DOI: 10.1158/1078-0432.ccr-20-1727.Peer-Reviewed Original ResearchConceptsLocally advanced nasopharyngeal carcinomaAdvanced nasopharyngeal carcinomaNasopharyngeal carcinomaConcurrent chemoradiationGemcitabine chemotherapyArm CIncreased immune cell infiltrationComplete metabolic responsePosttreatment tumor biopsiesAnti-VEGF therapyArm A patientsRelapse-free survivalMetastatic nasopharyngeal carcinomaImmune cell infiltrationImmune cell traffickingVEGF axisTumor responseInduction cisplatinAntiangiogenic therapyTumor biopsiesTumor perfusionA patientsFDG-PETPericyte coverageStandard treatment
2018
Transcriptional analysis of immune genes in Epstein–Barr virus-associated gastric cancer and association with clinical outcomes
Sundar R, Qamra A, Tan A, Zhang S, Ng C, Teh B, Lee J, Kim K, Tan P. Transcriptional analysis of immune genes in Epstein–Barr virus-associated gastric cancer and association with clinical outcomes. Gastric Cancer 2018, 21: 1064-1070. PMID: 29915957, DOI: 10.1007/s10120-018-0851-9.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedB7-H1 AntigenBiomarkers, TumorCD8 AntigensCohort StudiesDisease-Free SurvivalEpstein-Barr Virus InfectionsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHerpesvirus 4, HumanHumansImmunohistochemistryLymphocytes, Tumor-InfiltratingMaleMiddle AgedPerforinProgrammed Cell Death 1 ReceptorStomach NeoplasmsConceptsPD-L1PD-L1highPD-L1lowEBVaGC samplesImmune-related genesAssociated with worse disease-free survivalGastric cancerPD-L1 immunohistochemistry expressionPD-L1 transcript expressionExpression of PD-L1Levels of PD-L1Epstein-Barr virus-associated gastric cancerTumour-infiltrating lymphocyte patternPD-L1 expressionPD-L1 immunohistochemistryPrimary tumor resectionDisease-free survivalAssociated with higher expressionCases of EBVaGCGastric cancer patientsEBV-negative samplesSamsung Medical CentreAsian Cancer Research GroupImmune genesCancer Research Group
2016
Phase Ib/II randomized, open-label study of doxorubicin and cyclophosphamide with or without low-dose, short-course sunitinib in the pre-operative treatment of breast cancer
Wong A, Sundar R, Wang T, Ng T, Zhang B, Tan S, Soh T, Pang A, Tan C, Ow S, Wang L, Mogro J, Ho J, Jeyasekharan A, Huang Y, Thng C, Chan C, Hartman M, Iau P, Buhari S, Goh B, Lee S. Phase Ib/II randomized, open-label study of doxorubicin and cyclophosphamide with or without low-dose, short-course sunitinib in the pre-operative treatment of breast cancer. Oncotarget 2016, 7: 64089-64099. PMID: 27577069, PMCID: PMC5325427, DOI: 10.18632/oncotarget.11596.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnthracyclinesAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsContrast MediaCyclophosphamideDisease-Free SurvivalDoxorubicinDrug Administration ScheduleFemaleHumansImmunohistochemistryIndolesMagnetic Resonance ImagingMiddle AgedNeoadjuvant TherapyPreoperative PeriodPyrrolesSunitinibTreatment OutcomeConceptsPathological complete responseVascular normalization indexChemotherapy dose delaysLow-doseDose delaysDCE-MRIPhase IbDecreased lymphatic vessel densityIntra-tumoral drug deliveryPathologic complete response rateRecommended phase II dosePhase II doseDose of sunitinibTreatment of breast cancerDCE-MRI parametersPre-operative treatmentAnthracycline-based chemotherapyOpen-label studyRandomized to chemotherapyTumor vessel normalizationLymphatic vessel densityEnhance chemotherapy efficacyBreast cancer patientsFunctional imaging biomarkersPharmacodynamic evidence