Inflammation-related biomarkers as predictors of pathological complete response in early-stage breast cancer.

Background: Neoadjuvant systemic therapy (NAT) represents an attractive option for improved outcomes of early-stage breast cancer (BC) patients, as it can significantly reduce tumor burden thus permitting breast-conserving resections. Equally important, the eradication of viable cancer cells post-NAT, also known as pathological complete response (pCR), has emerged as a strong prognostic biomarker, reflecting tumor's biology and subsequent treatment responses. Yet to date, no validated markers predictive of pCR have been identified.

Mutations Matter: Unravelling the Genetic Blueprint of Invasive Lobular Carcinoma for Progression Insights and Treatment Strategies.

Invasive Lobular Carcinoma (ILC) presents a distinct subtype of breast cancer, representing 10-15% of cases, with unique clinical and molecular features. Characterized by a non-cohesive, single-file invasion pattern, ILC is typically estrogen receptor (ER)- and progesterone receptor (PR)-positive but human epidermal growth factor receptor 2 (HER2)-negative. Despite favorable prognostic features, its highly metastatic nature and predilection for atypical sites contribute to lower long-term survival compared to invasive breast carcinoma of no special type (NST).

Mechanisms of primary resistance to immune checkpoint inhibitors in NSCLC.

Immune checkpoint inhibitors (ICIs) redefined the therapeutics of non-small cell lung cancer (NSCLC), leading to significant survival benefits and unprecedented durable responses. However, the majority of the patients develop resistance to ICIs, either primary or acquired. Establishing a definition of primary resistance to ICIs in different clinical scenarios is challenging and remains a work in progress due to the changing landscape of ICI-based regimens, mainly in the setting of early-stage NSCLC.

Chatbots in Cancer Applications, Advantages and Disadvantages: All that Glitters Is Not Gold.

The emergence of digitalization and artificial intelligence has had a profound impact on society, especially in the field of medicine. Digital health is now a reality, with an increasing number of people using chatbots for prognostic or diagnostic purposes, therapeutic planning, and monitoring, as well as for nutritional and mental health support. Initially designed for various purposes, chatbots have demonstrated significant advantages in the medical field, as indicated by multiple sources.

The role of immunotherapy in patients with lung cancer and brain metastases: a narrative review of the literature.

Worldwide, approximately half of the patients diagnosed with lung cancer (LC) will develop, simultaneously or asynchronously, brain metastases (BMs). The existence of BMs negatively affects the quality of life and constitutes a poor prognostic factor, linked with high mortality. Locoregional therapy with surgery or radiation is, until now, the treatment of choice, especially for symptomatic patients; however, both options are linked to a high complication rate.