AACR, Author Interviews, Brigham & Women's - Harvard, Cancer Research / 18.04.2022

MedicalResearch.com Interview with: [caption id="attachment_59050" align="alignleft" width="150"]Ajit Johnson Nirmal PhD Instructor of Medicine, DFCI, HMS Laboratory of systems pharmacology Harvard Medical School Dr. Nirmal[/caption] Ajit Johnson Nirmal PhD Instructor of Medicine, DFCI, HMS Laboratory of systems pharmacology Harvard Medical School MedicalResearch.com:  What is the background for this study?  Response: Like many other types of cancers, melanoma arises from gene mutations within cells that impact cell growth and division. These abnormal cells should be rapidly eliminated by our immune system, however, the failure to do so leads to the development of cancer. Hence researchers have long been interested to study the tumor environment that nurtures and sustains these dangerous cells. In the past, researchers have used single-cell technologies to delineate the cell types and cell states that make up the tumor microenvironment. However, the spatial relationships between these cell types and how they organize themselves such as to provide a favorable environment for the tumor to develop remains unknown. In the last couple of years, researchers have developed a new suite of new technologies called spatial omics which includes CYCIF a method that was developed at Sorger lab. Using this method, we can not only measure the molecular information of cells at a single cell level but also their spatial context. This allows us to build a google map like view of the skin with melanoma and study what is exactly happening that allows the tumors to develop.
Author Interviews, Brigham & Women's - Harvard, Cancer Research, Immunotherapy, Kidney Disease, NEJM / 18.08.2021

MedicalResearch.com Interview with: [caption id="attachment_57955" align="alignleft" width="200"]Toni K. Choueiri, MD Director, Lank Center for Genitourinary Oncology Director, Kidney Cancer Center Jerome and Nancy Kohlberg Chai Professor of Medicine, Harvard Medical School Dr. Choueiri[/caption] Toni K. Choueiri, MD Director, Lank Center for Genitourinary Oncology Director, Kidney Cancer Center Jerome and Nancy Kohlberg Chai Professor of Medicine, Harvard Medical School  MedicalResearch.com: What is the background for this study? What are the main findings? Response: The standard of care for patients diagnosed with locoregional RCC is partial or total nephrectomy. Nearly half of patients will eventually experience disease recurrence following nephrectomy and no standard, globally approved adjuvant therapy options are currently available for this population. The phase 3 KEYNOTE-564 study met its primary objective of demonstrating a statistically significant and clinically meaningful improvement in disease-free survival with pembrolizumab vs placebo as adjuvant therapy for patients with RCC post nephrectomy, supporting pembrolizumab as a potential new standard of care for patients at high risk of disease recurrence following surgery.
Author Interviews, Brigham & Women's - Harvard, Journal Clinical Oncology, Prostate Cancer, Radiation Therapy / 04.06.2021

MedicalResearch.com Interview with: [caption id="attachment_57600" align="alignleft" width="200"]Dr. D'Amico Dr. D'Amico[/caption] Anthony D'Amico, MD, PhD Professor and Chief of Genitourinary Radiation Oncology Brigham and Women's Hospital and Dana-Farber Cancer Institute MedicalResearch.com: What is the background for this study? Response: 3 randomized trials published in Sept, 2020 in the Lancet and Lancet Oncology concluded that delivering radiation therapy (RT) after surgery for prostate cancer   when the PSA rises signaling recurrence (i.e. early salvage RT) as opposed to when the PSA is undetectable (i.e. adjuvant RT) did not compromise subsequent cancer progression. However these trials may have missed the benefit of adjuvant RT because a minority of men (9 to 17% of the study cohorts) were found to have adverse factors at prostatectomy which are associated with cancer progression and death from prostate cancer. Specifically, men with adverse pathology at prostatectomy comprise the vast majority of men who go on to die from prostate cancer and therefore have the most to gain from adjuvant RT. Yet, given the results of the 3 randomized trials many physicians are no longer offering adjuvant RT, even in men with adverse pathology at surgery.
Author Interviews, Brigham & Women's - Harvard, Heart Disease, Nature / 04.02.2021

MedicalResearch.com Interview with: [caption id="attachment_56558" align="alignleft" width="200"]HUGO AERTS, PhD Dana-Farber Cancer Institute Associate Professor, Brigham and Women's Hospital Harvard Medical School Director, Program for Artificial Intelligence in Medicine Brigham And Women's Hospital Dr. Aerts[/caption] Dr. Hugo Aerts, PhD Dana-Farber Cancer Institute Associate Professor, Brigham and Women's Hospital Harvard Medical School Director, Program for Artificial Intelligence in Medicine Brigham And Women's Hospital  MedicalResearch.com: Deep convolutional neural networks to predict cardiovascular risk from computed tomography  Response: Cardiovascular disease is the most common preventable cause of death in Europe and the United States. Effective lifestyle and pharmacological prevention is available, but identifying those who would benefit most remains an ongoing challenge. Hence, efforts are needed to further improve cardiovascular risk prediction and stratification on an individual basis. One of the strongest known predictors for adverse cardiovascular events is coronary artery calcification, which can be quantified on computed tomography (CT). The CT coronary calcium score is a measure of the burden of coronary atherosclerosis and is one of the most widely accepted measures of cardiovascular risk. Recent strides in artificial intelligence, deep learning in particular, have shown its viability in several medical applications such as medical diagnostic and imaging, risk management, or virtual assistants. A major advantage is that deep learning can automate complex assessments that previously could only be done by radiologists, but now is feasible at scale with a higher speed and lower cost. This makes deep learning a promising technology for automating cardiovascular event prediction from imaging. However, before clinical introduction can be considered, generalizability of these systems needs to be demonstrated as they need to be able to predict cardiovascular events of asymptomatic and symptomatic individuals across multiple clinical scenarios, and work robustly on data from multiple institutions.
Author Interviews, Brigham & Women's - Harvard, Cancer Research, Genetic Research, Melanoma, Prostate Cancer / 23.11.2020

MedicalResearch.com Interview with: [caption id="attachment_56034" align="alignleft" width="97"]Saud H AlDubayan, M.D. Instructor in Medicine, Harvard Medical School Attending Physician, Division of Genetics, Brigham and Women's Hospital
 Computational Biologist, Department of Medical Oncology,  Dana-Farber Cancer Institute Associate Scientist, The Broad Institute of MIT and Harvard Dr. AlDubayan[/caption] Saud H AlDubayan, M.D. Instructor in Medicine, Harvard Medical School Attending Physician, Division of Genetics, Brigham and Women's Hospital Computational Biologist, Department of Medical Oncology, Dana-Farber Cancer Institute Associate Scientist, The Broad Institute of MIT and Harvard  MedicalResearch.com: What is the background for this study? What are the main findings? Response: The overall goal of this study was to assess the performance of the standard method currently used to detect germline (inhered) genetic variants in cancer patients and whether we could use recent advances in machine learning techniques to further improve the detection rate of clinically relevant genetic alterations. To investigate this possibility, we performed a head to head comparison between the current gold-standard method for germline analysis that has been universally used in clinical and research laboratories and a new deep learning analysis approach using germline genetic data of thousands of patients with prostate cancer or melanoma. This analysis showed that across all different gene sets that were tested, the deep learning-based framework was able to identify additional cancer patients with clinically relevant germline variants that went undetected by the standard method. For example, several patients in our study also had germline variants that are associated with an increased risk of ovarian cancer, for which the surgical removal of the ovaries (at a certain age) is highly recommended. However, these genetic alterations were only identified by the proposed deep learning framework.    
Author Interviews, Cancer Research, Lymphoma / 06.12.2019

MedicalResearch.com Interview with: [caption id="attachment_52370" align="alignleft" width="200"]Dr. Matthew S. Davids MD MSC Associate Director of the Dana-Farber CLL Center Attending physician Lymphoma Program, Division of Hematologic Malignancies Dana-Farber Dr. Davids[/caption] Dr. Matthew S. Davids MD MSC Associate Director of the Dana-Farber CLL Center Attending physician Lymphoma Program, Division of Hematologic Malignancies Dana-Farber [caption id="attachment_52369" align="alignleft" width="150"]Dr. Jennifer Crombie MD Instructor in Medicine Harvard Medical School  Dr. Crombie[/caption]   Dr. Jennifer Crombie MD Instructor in Medicine Harvard Medical School    MedicalResearch.com: What is the background for this study? Response: New data from our investigator-sponsored Phase 1 study exploring duvelisib in combination with venetoclax will be presented at ASH on December 7. In relapsed or refractory chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), duvelisib plus venetoclax demonstrated promising clinical activity, a manageable tolerability profile, and identified a recommended Phase 2 dosing (RP2D) regimen. 
Author Interviews, Brigham & Women's - Harvard, Cancer Research, JAMA, Radiation Therapy, Technology / 19.04.2019

MedicalResearch.com Interview with: [caption id="attachment_48660" align="alignleft" width="200"]Raymond H Mak, MDRadiation OncologyBrigham and Women's Hospital Dr. Mak[/caption] Raymond H Mak, MD Radiation Oncology Brigham and Women's Hospital MedicalResearch.com: What is the background for this study? 
  • Lung cancer remains the most common cancer, and leading cause of cancer mortality, in the world and ~40-50% of lung cancer patients will need radiation therapy as part of their care
  • The accuracy and precision of lung tumor targeting by radiation oncologists can directly impact outcomes, since this key targeting task is critical for successful therapeutic radiation delivery.
  • An incorrectly delineated tumor may lead to inadequate dose at tumor margins during radiation therapy, which in turn decreases the likelihood of tumor control.
  • Multiple studies have shown significant inter-observer variation in tumor target design, even among expert radiation oncologists
  • Expertise in targeting lung tumors for radiation therapy may not be available to under-resourced health care settings
  • Some more information on the problem of lung cancer and the radiation therapy targeting task here:https://www.youtube.com/watch?v=An-YDBjFDV8&feature=youtu.be
Author Interviews, Leukemia / 11.09.2018

MedicalResearch.com Interview with: [caption id="attachment_44407" align="alignleft" width="172"]Hans van Eenennaam, Ph.D. Executive vice president antibody research and site head Aduro Biotech Europe Dr. van Eenennaam[/caption] Hans van Eenennaam, Ph.D. Executive vice president antibody research and site head Aduro Biotech Europe MedicalResearch.com: What is the background for this study? Response: A PRoliferation Inducing Ligand (APRIL) is a member of the tumor necrosis factor superfamily and has been shown to stimulate the proliferation and survival of healthy B-lymphocytes. Malignant B-lymphocytes, such as multiple myeloma, use APRIL primarily in the bone marrow to support its proliferation and survival. Studies have shown that APRIL is overproduced in patients with multiple myeloma and mediates primarily via binding to B-cell maturation antigen (BCMA) to stimulate a wide variety of responses that promote multiple myeloma growth and survival, as well as suppressing the immune system so that the tumor cells are protected and sustained in the bone marrow and can escape current available treatments.