International multicenter experience of prognostic factors and treatment outcomes of metastatic non-clear cell renal cell carcinoma

Non–clear cell renal cell carcinoma (nccRCC) represents a heterogeneous group of rare malignancies with limited evidence guiding systemic therapy. The recent introduction of immune checkpoint inhibitors (ICIs) and their combinations with tyrosine kinase inhibitors (TKIs) has shown promising results, but real-world data remain scarce.

Outcomes of first-line chemo-immunotherapy in advanced non-squamous NSCLC according to KRAS status: An Italian real-world study

Chemo–immunotherapy is the standard frontline treatment of advanced non–squamous non–small cell lung cancer (nsq–NSCLC). Among oncogenic drivers, KRAS mutation accounts for approximately 25% of lung adenocarcinomas, with p.G12C being the most common variant. This study assessed clinical features and survival outcomes according to KRAS mutation in a real–life population of nsq–NSCLC patients treated with first–line platinum–pemetrexed–pembrolizumab.

Ethical challenges and multidisciplinary approaches in end-of-life oncology care: Insights from the 2025 AIOM Ethics Days

End-of-life care in oncology represents a complex and multidimensional challenge that requires ethical awareness, effective communication, and multidisciplinary collaboration. Drawing from the discussions and data presented during the 2025 AIOM Ethics Days, this paper highlights key aspects influencing the quality and humanity of end-of-life care.

The “empty speech bubbles”: Explaining cancer through play. A pediatric oncology unit pilot experience

This pilot study aimed at evaluating the feasibility and acceptability of a structured psycho-educational intervention designed to increase disease awareness in children with tumors. The primary objective was to promote psychological adjustment by supporting children’s understanding of their illness and facilitating open parent–child communication about cancer.

Identification and selection of the best artificial intelligence methods developed for detection and diagnosis of breast cancer

Comprehensive identification and prioritization of developed artificial intelligence methods for the detection and diagnosis of breast cancer can help to select proper techniques. This study aimed to introduce the best artificial intelligence techniques developed for the detection and diagnosis of breast cancer using microscopic images by fuzzy AHP-TOPSIS techniques.

Volume 112 Issue 2, April 2026

Read the latest issue. It contains the following articles:
The use of bone-modifying agents in early breast cancer: AIOM Guidelines update and perspectives
Delphi Study on the creation of a Committee of patients, caregivers, and representatives of patient associations
The e-BRAVE study: A prospective web-based cohort and biobank of women carriers of BRCA mutations
An indirect approach to identify the healthcare services for thyroid and melanoma cancer patients in Italy: Epicost-2 project
Association of APOC1 levels and nutritional indices with clinicopathological features and prognostic value in patients with DLBCL
Predicting severe toxicity after head-and-neck cancer RT: Validation of the synergist role of a biological marker and dosimetry
Effects of uniportal 3D video-assisted thoracic surgery lobectomy on postoperative pain and immune function in patients with NSCLC
Medication-related jaw osteonecrosis in metastatic RCC treated with VEGFR-TKIs ± IO and bone agents: A real-world analysis