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Bladder Cancer

Addition of Durvalumab to BCG After TURBT for BCG-Naive, High-Risk NMIBC

In the final analysis of the phase III POTOMAC trial reported in The Lancet, De Santis et al found that the addition of durvalumab to bacillus Calmette-Guérin (BCG) induction and maintenance improved disease-free survival in patients with high-risk non–muscle-invasive bladder cancer (NMIBC) who underwent transurethral resection of bladder tumor (TURBT).

 

Issues in Oncology
Legislation

Limited or No State Regulation of STLD Health Plans Linked to Decreases in Timely Cancer Treatment Initiation

In 2018, the federal government expanded the coverage duration of short-term limited-duration (STLD) health plans from 3 months to less than 12 months, with the option to renew for a total duration of up to 36 months. Some states imposed more stringent regulations than those federally imposed or banned the sale of these STLD plans, while other states did not have any additional regulations.

 

AI in Oncology

Regulatory Agencies Establish Principles of Good AI Use in Drug Development

The U.S. Food and Drug Administration's (FDA) Center for Drug Evaluation and Research (CDER) and Center for Biologics Evaluation and Research (CBER) have collaborated with the European Medicines Agency (EMA) to develop a set of 10 guiding principles for good uses of artificial intelligence (AI) in drug development. The principles are aimed at industry members and product developers who are using AI to facilitate and accelerate drug/biological product development. 

 


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Head and Neck Cancer

Intensity-Modulated Proton vs Photon Radiotherapy in Oropharyngeal Cancer

In a prespecified interim analysis of a phase III trial (University of Texas MD Anderson Cancer Center Clinical Trial Consortium trial) reported in The Lancet, Frank et al found that intensity-modulated proton therapy (IMPT) was noninferior to standard intensity-modulated photon radiation therapy (IMRT) in progression-free survival among patients with stage III or IV oropharyngeal cancer.

 

Global Cancer Care
AI in Oncology

Global Cancer Survival Gaps Assessed Using a Country-Level Machine-Learning Framework

A machine-learning model has calculated country-specific cancer mortality-to-incidence ratios and evaluated the factors that contribute the most to each country's survival gaps. Additionally, the artificial intelligence (AI) tool mapped out actions each country could take to improve cancer outcomes. A report explaining the establishment of the machine learning framework and its country-specific findings was published in Annals of Oncology

 

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ASCO and Conexiant Launch ASCO AI in Oncology

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Novel HER2-Targeted Bispecific Improves Outcomes in Patients With Gastroesophageal Cancer

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Benefit of Azacitidine Plus Venetoclax Confirmed in AML

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Olaparib in Metastatic Breast Cancer With Germline Mutations in PALB2 or Somatic Mutations in BRCA

As reported in the Journal of Clinical Oncology by Tung et al, findings in expansion cohorts of the phase II Translational Breast Cancer Research Consortium (TBCRC) 048 study showed that olaparib was active in patients with metastatic breast cancer with germline PALB2 mutations (gPALB2m) and in...

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A New Risk Model for Esophagectomy Draws on the STS National Database

A nationwide, real-world analysis using the Society of Thoracic Surgeons (STS) General Thoracic Surgery Database (GTSD) from 2012 to 2023 evaluated over 16,000 adults who underwent esophagectomy for primary esophageal cancer to develop and validate a long-term all-cause mortality risk model. The...

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