Volume 111 Issue 3, June 2025

Read the latest issue. It contains the following articles:
Associations between vascular endothelial growth factor polymorphisms and response to 5-FU-based pharmaceutical therapy in esophageal squamous cell carcinoma: A meta-analysis.
Adjuvant chemotherapy in elderly patients with HER2-negative early breast cancer: A systematic review and meta-analysis.
Towards a better registration of neuroendocrine neoplasms: The results of the Italian retrospective population-based study.
Clinical difference between solitary and multiple pulmonary adenocarcinoma nodules.
CT-based radiomics: A potential indicator of KRAS mutation in pulmonary adenocarcinoma.
Efficacy and safety of hepatic arterial infusion chemotherapy followed by transarterial embolization for hepatocellular carcinoma.
Prevalence of breast cancer in ovarian cancer patients and its impact on patient survival: An analysis of the surveillance, epidemiology, and end results data.
ESCO1 as a novel predictive biomarker and potential therapeutic target in renal cell carcinoma.
Exploratory analysis of the professional quality of life in an Italian radiotherapy department: The role of empathy and alexithymia.

Engagement in cancer clinical trials among a nationally representative cancer survivor sample: Motivators, barriers and opportunities for improvement

Most patients with cancer do not participate in a clinical trial. Understanding clinical participation rates, and the barriers and motivators that influence participation may help identify opportunities for improvement in accrual. A cross-sectional analysis of cancer survivors was conducted using the Health Information National Trends Survey (HINTS) administered in 2020.

Clinicopathological characteristics and prognosis of cervical adenocarcinoma across diverse histological subtypes

To investigate the clinical features and prognostic implications of different subtypes of cervical adenocarcinoma.
We examined 13,353 adenocarcinoma (AC) cases from the SEER database to identify distinct clinical characteristics and prognostic factors among various histological subtypes. Using the WHO classification and International Classification of Diseases for Oncology, 3rd Edition (ICD-O-3) codes, we categorized patients and assessed overall survival (OS) and cancer-specific survival (CSS) via Kaplan-Meier and Cox regression analyses. A nomogram was constructed to predict patient survival across subtypes.