In the last decade the use of medical cannabis (MC) for palliative cancer treatment has risen. However, the choice between products is arbitrary and most patients are using Tetrahydrocannabinol (THC)-dominant cannabis products. In this study, we aimed to assess the short-term outcomes of MC treatment prescribed by oncologists in relation to the type of cannabis they receive. A comparative analysis was used to assess the differences in treatment effectiveness and safety between THC-dominant (n = 56, 52%), cannabidiol (CBD)-dominant (n = 19, 18%), and mixed (n = 33, 30%) MC treatments. Oncology patients (n = 108) reported on multiple symptoms in baseline questionnaires, initiated MC treatment, and completed a one-month follow-up. Most parameters improved significantly from baseline, including pain intensity, affective and sensory pain, sleep quality and duration, cancer distress, and both physical and psychological symptom burden. There was no significant difference between the three MC treatments in the MC-related safety profile. Generally, there were no differences between the three MC treatments in pain intensity and in most secondary outcomes. Unexpectedly, CBD-dominant oil treatments were similar to THC-dominant treatments in their beneficial effects for most secondary outcomes. THC-dominant treatments showed significant superiority in their beneficial effect only in sleep duration compared to CBD-dominant treatments. This work provides evidence that, though patients usually consume THC-dominant products, caregivers should also consider CBD-dominant products as a useful treatment for cancer-related symptoms.

Background: Small-cell lung cancer (SCLC) is a highly aggressive neuroendocrine malignancy characterized by rapid growth, early metastatic dissemination, and a dismal prognosis. For decades, treatment paradigms remained largely stagnant, particularly for extensive-stage disease (ES-SCLC). However, the last five years have witnessed a significant evolution in the therapeutic landscape. Methods: The information for this article was gathered by synthesizing data from several key sources. This article synthesizes the evidence supporting current standards of care for both limited-stage (LS-SCLC) and ES-SCLC, incorporating data from pivotal clinical trials, a network meta-analysis of first-line chemoimmunotherapy regimens, and a critical appraisal of international treatment guidelines, and a critical analysis of international treatment guidelines from prominent organizations like the National Comprehensive Cancer Network (NCCN) and the European Society for Medical Oncology (ESMO). This comprehensive approach allows for a robust and well-supported summary of the current therapeutic landscape. Results: For limited-stage SCLC (LS-SCLC), concurrent chemoradiotherapy (cCRT) remains the curative-intent standard, but its efficacy is now being augmented by consolidative immunotherapy, as demonstrated by the landmark ADRIATIC trial. The role of prophylactic cranial irradiation (PCI) in LS-SCLC is being re-evaluated in the era of high-sensitivity brain imaging and concerns over neurotoxicity. For ES-SCLC, the treatment paradigm has been fundamentally transformed by the integration of immune checkpoint inhibitors (ICIs) with platinum–etoposide chemotherapy, establishing a new standard of care that offers a modest but consistent survival benefit. Conclusions: The treatment of SCLC has been significantly advanced by the integration of immunotherapy, particularly for extensive-stage disease, which has established a new standard of care and improved patient outcomes. Looking to the future, the quest for predictive biomarkers and the development of novel therapeutic classes, such as Bi-specific T-cell Engagers (BiTEs) and antibody–drug conjugates, promise to build upon recent progress and offer new hope for improving the dismal prognosis associated with this disease.

Substantial evidence has accumulated showing that psychological distress affects immune regulation, the response to cancer treatment, and survival. The effect of psychological parameters on the effectiveness of immune checkpoint inhibitor (ICI) treatment has not yet been studied. This preliminary study aimed to (a) examine the associations between psychological factors and responses to ICI treatment and (b) assess the associations between psychological factors and blood measures of sPD-1, sCTLA-4, and cytokines that may alter the effect of ICI treatment. The participants were 62 individuals with advanced cancer, aged 18 years or older, who were candidates for ICI treatment as a new line of treatment. The participants answered questionnaires and provided blood samples and medical data prior to the start of ICI treatment and 3 months after. Perceived health status was positively associated with better responses to ICI treatment. In the subsample of participants with biomarkers, worse health-related quality of life was associated with higher IL-6 and sCTLA-4; emotional distress and sleep difficulties were associated with higher sCTLA-4; and better perceived health was associated with lower IL-6 and TNFα. sPD-1 was not associated with psychological measures. This preliminary study found for the first time that some psychological measures could be linked to responses to cancer treatment, possibly via pro-inflammatory cytokines and sCTLA-4.

Background: Liquid biopsy, particularly through the analysis of circulating tumor DNA (ctDNA), represents a significant advancement in oncology. Unlike traditional tissue biopsies, ctDNA offers a minimally invasive, real-time approach to cancer management. It has demonstrated considerable potential in early cancer detection, monitoring of therapeutic responses, and assessing minimal residual disease (MRD) to predict recurrence. By enabling comprehensive molecular profiling through a simple blood test, ctDNA supports the core principles of precision oncology, facilitating more personalized and adaptive treatment strategies. Methods: In the following article we describe the recent developments focused on refining ctDNA detection assays to improve sensitivity and specificity. Advanced technologies, including next-generation sequencing (NGS) and digital PCR, are commonly employed. The integration of artificial intelligence (AI) and multi-omics approaches—such as combining genomic, epigenomic, and transcriptomic data—has further enhanced the analytical power of ctDNA assays. Results: Emerging evidence shows that ctDNA-based liquid biopsy enables dynamic, real-time tracking of tumor evolution and therapeutic resistance. Clinical studies have demonstrated its efficacy in detecting early-stage cancers, guiding treatment selection, and predicting relapse with higher accuracy than some conventional methods. Moreover, AI-enhanced algorithms have improved signal detection, allowing for more precise and earlier identification of actionable mutations and MRD. Conclusions: ctDNA analysis via liquid biopsy is poised to revolutionize cancer care by offering a non-invasive, precise, and adaptive tool for tumor characterization and monitoring. Although obstacles remain—particularly regarding assay sensitivity, standardization, and economic feasibility—ongoing technological innovations and multi-omics integration are rapidly advancing its clinical viability. With continued progress, ctDNA-based liquid biopsy is likely to become a cornerstone of routine oncology practice.

Background: Brain metastases (BMs) are a common and challenging complication of non-small cell lung cancer (NSCLC), historically associated with a poor prognosis. The development of targeted therapies, specifically tyrosine kinase inhibitors (TKIs) for epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) gene alterations, has significantly improved treatment outcomes. Methods: This article reports and evaluates the efficacy of different generations of TKIs for NSCLC with BMs. The primary endpoints assessed are intracranial objective response rates (IC-ORR), progression-free survival (PFS), and overall survival (OS). The analysis considers TKIs as monotherapy and in combination with radiotherapy. It also examines the impact of newer generation TKIs with enhanced blood–brain barrier (BBB) penetration on intracranial control. The report further discusses the integration of systemic therapy with local modalities like stereotactic radiosurgery (SRS) and the safety profiles of these agents, including central nervous system (CNS) and metabolic adverse events. Results: Newer generation TKIs demonstrate significantly enhanced BBB penetration, resulting in superior intracranial control compared to older generations. These agents show remarkable intracranial activity, contributing to improved IC-ORR, PFS, and OS. The optimal integration of systemic therapy with local modalities, such as SRS, is still under investigation. Treatment with these TKIs is associated with distinct safety profiles, including novel CNS and metabolic adverse events, which require careful management due to prolonged treatment durations. Conclusions: The management of CNS metastases in NSCLC is evolving towards more proactive and personalized therapeutic strategies. Newer generation TKIs have profoundly reshaped the treatment landscape by offering superior intracranial control. Further research is needed to determine the optimal integration of these systemic therapies with local modalities and to effectively manage the associated adverse events.

Background: Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality despite major advances in diagnostics and therapies. The prognosis remains poor, mostly due to late-stage presentation and molecular heterogeneity. Epidermal growth factor receptor (EGFR) mutations are common drivers of NSCLC. The development of EGFR tyrosine kinase inhibitors (TKIs) has significantly improved outcomes in patients with EGFR mutations. Variant allele frequency (VAF) is a quantitative genomic measure representing the proportion of sequencing reads harboring a given mutation. In NSCLC tissue, the EGFR mutation VAF reflects tumor clonality and intratumoral heterogeneity, and accumulating evidence suggests an association between EGFR VAF and response to EGFR-targeted TKIs. Methods: To address the limited synthesis of data on the relevance of EGFR mutation VAF in NSCLC, we conducted a narrative review of the literature using PubMed/MEDLINE and Embase databases and current clinical guidelines, synthesizing available evidence on EGFR VAF, including its biological, molecular, and therapeutic implications in EGFR-mutated disease. The review was structured in accordance with the SANRA (Scale for the Assessment of Narrative Review Articles) checklist. Results: EGFR VAF and on-treatment VAF dynamics are consistently associated with treatment response, progression-free survival, and overall survival in osimertinib-treated NSCLC. Baseline VAF enables risk stratification, early clearance kinetics predict durable benefit, and longitudinal VAF monitoring facilitates early detection of resistance. Importantly, the prognostic implications of VAF differ fundamentally between tissue-based and plasma-based measurements: high tissue VAF reflects clonal homogeneity and predicts favorable TKI response, whereas high plasma VAF indicates elevated tumor burden and is associated with inferior outcomes. In the second-line setting, the T790M/activating mutation ratio serves as a surrogate for resistance clonality and independently predicts osimertinib efficacy. Conclusions: EGFR VAF represents a promising dynamic molecular biomarker for treatment monitoring and precision decision-making in EGFR-mutated NSCLC.