The lancet oncology
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The lancet oncology · Jan 2025
ReviewIntegrating cancer into crisis: a global vision for action from WHO and partners.
More than a billion people live in fragile, conflict-affected, and vulnerable settings requiring humanitarian support, where cancer is a substantial health issue. Despite its substantial effect on populations, cancer care remains underprioritised in emergency preparedness and response frameworks and humanitarian operational planning. This Policy Review summarises the perspectives and actionable recommendations from the First Global High-Level Technical Meeting on Non-communicable Diseases in Humanitarian Settings, with a focus on cancer. ⋯ Key solutions include: integrating the cancer care continuum into national preparedness and response plans to enhance health-care system resilience; integrating cancer into humanitarian responses efforts; addressing the specific needs of paediatric patients with cancer; improving cancer intelligence and surveillance systems; and developing strategies to navigate the logistical and financial challenges of providing cancer care during crises. Additionally, the paper outlines practical actions and next steps for international cooperation needed to drive a shift in global health priorities and elevate cancer in the global health security agenda. We hope the presented notions will help prevent millions of avoidable deaths among people with cancer.
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The lancet oncology · Jan 2025
Randomized Controlled Trial Multicenter StudyDe-escalated neoadjuvant weekly nab-paclitaxel with trastuzumab and pertuzumab versus docetaxel, carboplatin, trastuzumab, and pertuzumab in patients with HER2-positive early breast cancer (HELEN-006): a multicentre, randomised, phase 3 trial.
A previous phase 2 trial showed promising outcomes for patients with HER2-positive early-stage breast cancer using neoadjuvant de-escalation chemotherapy with paclitaxel, trastuzumab, and pertuzumab. We aimed to evaluate the efficacy of weekly nab-paclitaxel compared with the standard regimen of docetaxel plus carboplatin, both with trastuzumab and pertuzumab, as neoadjuvant therapies for patients with HER2-positive breast cancer. ⋯ For the Chinese translation of the abstract see Supplementary Materials section.
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Technological innovations in genomics and related fields have facilitated large sequencing efforts, supported new biological discoveries in cancer, and spawned an era of liquid biopsy biomarkers. Despite these advances, precision oncology has practical constraints, partly related to cancer's biological diversity and spatial and temporal complexity. ⋯ We discuss key areas of advanced imaging for improving cancer outcomes and survival. Finally, we discuss practical challenges to the broader adoption of precision imaging in the clinic and the need for a robust translational infrastructure.
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The lancet oncology · Jan 2025
Multicenter StudySafety and activity of CTX130, a CD70-targeted allogeneic CRISPR-Cas9-engineered CAR T-cell therapy, in patients with relapsed or refractory T-cell malignancies (COBALT-LYM): a single-arm, open-label, phase 1, dose-escalation study.
Effective treatment options are scarce for relapsed or refractory T-cell lymphoma. This study assesses the safety and activity of CTX130 (volamcabtagene durzigedleucel), a CD70-directed, allogeneic chimeric antigen receptor (CAR) immunotherapy manufactured from healthy donor T cells, in patients with relapsed or refractory T-cell lymphoma. ⋯ CRISPR Therapeutics.
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The lancet oncology · Jan 2025
Multicenter StudyDeep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study.
Accurate detection of driver gene mutations is crucial for treatment planning and predicting prognosis for patients with lung cancer. Conventional genomic testing requires high-quality tissue samples and is time-consuming and resource-consuming, and as a result, is not available for most patients, especially those in low-resource settings. We aimed to develop an annotation-free Deep learning-enabled artificial intelligence method to predict GEne Mutations (DeepGEM) from routinely acquired histological slides. ⋯ For the Chinese translation of the abstract see Supplementary Materials section.