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These RSGs offer roadmaps for policy makers, clinicians, and health care administrators in LMICs to design projects in implementation science that can gradually and strategically raise the quality of cancer care in their nation or region. Although the same resource limitations that complicate cancer care in these areas also pose barriers to data gathering and research, some countries have met the challenge and are improving cancer care using RSGs as a metric for success.In 2019, an important inflection point occurred when the U.S. Food and Drug Administration approved three new antibody-drug conjugates (ADCs) for the treatment of malignancies, including urothelial cancer (enfortumab vedotin-ejfv), diffuse large B-cell lymphoma (polatuzumab vedotin-piiq), and HER2 breast cancer (fam-trastuzumab deruxtecan-nxki), and expanded the indication for ado-trastuzumab emtansine to early breast cancer. This near doubling in the number of approved ADCs within 1 year validates the ADC platform and represents a successful evolution over the past 30 years. ADCs were born in an era when systemic therapy for cancer was largely cytotoxic chemotherapy. Many of the investigational cytotoxic agents were determined to be too toxic for oral and intravenous use. The agents were especially potent, with inhibitory concentrations that inhibited 50% of cells in the nanomolar and picomolar range but had poor therapeutic indexes when administered systemically. Now, over the last 30 years, we have seen an evolution of the many aspects of this complex platform with better antigen target selection, more sophisticated chemistry for the linkers, a growing diversity of payloads from cytotoxic chemotherapy to targeted therapies and immunostimulants, and, with the recent series of regulatory approvals, a buoyed sense of optimism for the technology. Nonetheless, we have not fully realized the full potential of this platform. In this review, the many components of ADCs will be discussed, the difficulties encountered will be highlighted, the innovative strategies that are being used to improve them will be assessed, and the direction that the field is going will be considered.The evolution of thought in assessing benefit in clinical trials of systemic therapy for metastatic breast cancer (MBC) is well documented, with most agents garnering regulatory approval based either on an advantage in overall survival (OS), time to progression (TTP), or progression-free survival (PFS) over an existing standard of care or objective response rate (ORR). Previous guidance for industry on clinical trial endpoints for the approval of cancer drugs and biologics was provided by the U.S. Food and Drug Administration (FDA) in 2007 and recently updated in 2018. The more recent FDA guidance recognizes that advances in science are facilitating the development of oncology products, which "may also result in the identification of additional endpoints that may be used to support approval of oncology products." This article critically addressed the evolution of thought on the advancement of clinical trials in MBC, from various stakeholder perspectives. Despite the term "stakeholder," the objective of all co-authors and parties concerned is to promote and inform the optimal design, conduct, and reporting of clinical trials for women with advanced breast cancer toward improving and extending lives. find more This article provides an overview of the evolving perspectives on this issue from the physician, regulatory agency, and patient and/or advocate points of view.Cancer is the second leading cause of death worldwide, with approximately 70% of the 9.6 million deaths per year occurring in low- and middle-income countries (LMICs), where there is critical shortage of human and material resources or infrastructure to deal with cancer. If the current trend continues, the burden of cancer is expected to increase to 22 million new cases annually by 2030, with 81% of new cases and almost 88% of mortality occurring in LMICs. Global health places a priority on improving health and reducing these disparities to achieve equity in health for all people worldwide. In today's hyper-connected world, information and communication technologies (ICTs) will increasingly play an integral role in global health. Here, we focus on how the use of health-related technology, specifically ICTs and artificial intelligence (AI), can help in closing the gap between high-income countries (HICs) and LMICs in cancer care, research, and education. Key examples are highlighted on the use of telemedicine and tumor boards, as well as other online resources that can be leveraged to advance global health.Forty years ago this year, smoldering multiple myeloma was defined as a clinical entity that identifies a group of patients with a substantial burden of disease but with a relatively indolent natural history compared with symptomatic disease. Since then, there has been a revolution in the therapeutic options for multiple myeloma. The aim of this article is to describe recent advances in the identification of those patients who are at the highest risk of progression and whether they may benefit from therapy. Treatment of smoldering myeloma is an area of active debate and we present contrasting interpretations of the available trial data. We conclude by identifying the priorities for research that will help to clarify the management of this condition, which can be challenging for physicians and patients alike.OBJECTIVE. This study aims to assess correlations of the time from symptom onset to diagnosis and treatment with the time to disease resolution and CT scores as based on findings from sequential chest CT examinations. MATERIALS AND METHODS. Thirty patients with coronavirus disease (COVID-19) confirmed by reverse transcription-polymerase chain reaction analysis underwent chest CT examinations. Five patients who did not have positive CT findings or who had not yet fulfilled criteria for discharge from the hospital were excluded. CT scores were determined according to CT findings and lung involvement. The time from symptom onset to diagnosis and treatment was recorded for each patient, and on the basis of this information, patients with COVID-19 were divided into group 1 (patients for whom this interval was ≤ 3 days) and group 2 (those for whom this interval was > 3 days). The CT scores for each group were fitted using a Lorentzian line-shape curve to show the variation tendency during treatment. The differences in age, sex, and last CT scores determined before discharge between the two groups were analyzed, and correlations of the time from symptom onset to diagnosis and treatment with the time to disease resolution as well as with the highest CT score also underwent statistical analysis.