Publications by authors named "Jayantha Ratnayake"

Background: Since there are few treatment options for young people with type 2 diabetes, we aimed to assess the efficacy and safety of dapagliflozin as add-on therapy in children, adolescents, and young adults with type 2 diabetes receiving metformin, insulin, or both.

Methods: This multicentre, placebo-controlled, double-blind, randomised phase 3 study was undertaken at 30 centres in five countries (Hungary, Israel, Mexico, Russia, and the USA). Participants aged 10-24 years with type 2 diabetes and HbA1c concentration of 6·5-11% (48-97 mmol/mol) were randomly assigned 1:1 to oral dapagliflozin 10 mg or placebo during a 24 week double-blind period, which was then followed by a 28 week open-label safety extension in which all participants received dapagliflozin.

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Background: Diffuse-type tenosynovial giant cell tumour (dt-GCT) of the soft tissue (alternatively known as pigmented villonodular synovitis), an orphan disease with unmet medical need, is characterised by an overexpression of colony-stimulating factor 1 (CSF1), and is usually caused by a chromosomal translocation involving CSF1. CSF1 receptor (CSF1R) activation leads to the recruitment of CSF1R-expressing cells of the mononuclear phagocyte lineage that constitute the tumor mass in dt-GCT. Emactuzumab (RG7155) is a novel monoclonal antibody that inhibits CSF1R activation.

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Introduction: Molecular markers that predict responses to particular therapies are invaluable for optimization of patient treatment. The TRYPHAENA study showed that pertuzumab and trastuzumab with chemotherapy was an efficacious and tolerable combination for patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer in the neoadjuvant setting. We analyzed whether particular biomarkers correlated with the responses observed and therefore may predict outcomes in patients given pertuzumab plus trastuzumab.

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Biomarkers play an increasingly important role in many aspects of pharmaceutical discovery and development, including personalized medicine and the assessment of safety data, with heavy reliance being placed on their delivery. Statisticians have a fundamental role to play in ensuring that biomarkers and the data they generate are used appropriately and to address relevant objectives such as the estimation of biological effects or the forecast of outcomes so that claims of predictivity or surrogacy are only made based upon sound scientific arguments. This includes ensuring that studies are designed to answer specific and pertinent questions, that the analyses performed account for all levels and sources of variability and that the conclusions drawn are robust in the presence of multiplicity and confounding factors, especially as many biomarkers are multidimensional or may be an indirect measure of the clinical outcome.

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Article Synopsis
  • This study investigates the effectiveness of combining pertuzumab and trastuzumab with docetaxel, or using them without chemotherapy, for treating HER2-positive breast cancer in a neoadjuvant setting.
  • In a phase 2 trial with 417 women, those who received the combination of pertuzumab, trastuzumab, and docetaxel achieved a higher rate of complete tumor response compared to those receiving just trastuzumab and docetaxel.
  • Among the groups analyzed, the combination therapy (Group B) showed a pathological complete response rate of 45.8%, which was significantly better than the 29.0% seen in the group receiving only trastuzumab and docetaxel.
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