Characterization of clinicopathological features, treatment practices, and outcomes among Finnish advanced breast cancer patients in real-life clinical practice.

Purpose: In recent years, several new targeted therapies have emerged for advanced breast cancer (aBC). However, real-life data specific to aBC and different breast cancer subtypes are scarce. This retrospective cohort study was designed to describe the distribution of aBC subtypes, incidence, treatment patterns, survival, and PIK3CA hotspot mutation frequency.

Impact of deep learning-determined smoking status on mortality of cancer patients: never too late to quit.

Background: Persistent smoking after cancer diagnosis is associated with increased overall mortality (OM) and cancer mortality (CM). According to the 2020 Surgeon General's report, smoking cessation may reduce CM but supporting evidence is not wide. Use of deep learning-based modeling that enables universal natural language processing of medical narratives to acquire population-based real-life smoking data may help overcome the challenge.

Real-World Clinical Outcomes in Biological Subgroups of Breast Cancer in the Hospital District of Southwest Finland.

Background: Comparing breast cancer survival trends globally, Finland is among the top three countries in Europe. However, outcome data on breast cancer subgroups in the Finnish population are limited. This retrospective, registry-based study aimed to assess patient characteristics and clinical outcomes of different breast cancer subgroups in early (EBC) and metastatic breast cancer (MBC) in a real-life clinical setting.

Epidemiological and treatment-related factors contribute to improved outcome of oropharyngeal squamous cell carcinoma in Finland.

Background: Treatment for oropharyngeal squamous cell carcinoma (OPSCC) has changed, as the proportion of human papilloma virus (HPV)-related disease has increased. We evaluated nationwide information on its management and outcome during the treatment paradigm change period.

Methods: We included all patients diagnosed and treated for OPSCC at the five Finnish university hospitals from 2000 to 2009.

A novel treatment strategy for ovarian cancer based on immunization against zona pellucida protein (ZP) 3.

We tested the principle of treating malignant ovarian tumors by vaccination against their ectopically expressed protein, zona pellucida glycoprotein (ZP) 3, using as the experimental model the granulosa cell tumors that develop in transgenic mice expressing the simian virus 40 T-antigen under the inhibin-α promoter (inhα/Tag). We found high ZP3 expression in granulosa cell tumors of the transgenic mice, in human surface ovarian cancer and granulosa cell lines, and in human granulosa cell tumors and their metastases. Early preventive immunization (between 2 and 5.