Neuropilin-1 and placental growth factor as prognostic factors in metastatic breast cancer.

BACKGROUND: Angiogenesis is crucial for tumor development, progression, and metastasizing. The most important regulator of angiogenesis is the vascular endothelial growth factor (VEGF) family, which is involved in multiple pathways in tumor microenvironment. The objective of this study was to investigate the prognostic value of the VEGF family in patients treated for metastatic breast cancer. The emphasis was on neuropilin-1 (NRP-1) and placental growth factor (PlGF). MATERIALS AND METHODS: An analysis of eight members of the VEGF family was performed using baseline plasma samples of 65 patients treated for metastatic HER2 negative breast cancer in a phase II first-line bevacizumab plus chemotherapy trial. The patients were divided into two groups, high or low, according to the median for each VEGF family member. Progression-free survival (PFS) and overall survival (OS) were determined for each VEGF family member. RESULTS: The patients with low plasma levels of NRP-1 and PlGF had a longer OS than those with high plasma levels [multivariable adjusted hazard ratios (HRs) 2.54 (95% confidence interval (CI) 1.11-5.82, p = 0.02) and 3.11 (95% CI 1.30-7.47, p = 0.01), respectively]. The patients with low levels of both NRP-1 and PlGF had a remarkably long OS with HR of 6.24, (95% CI 1.97-19.76, p = 0.002). In addition, high baseline NRP-1 level was associated with a significantly shorter PFS [multivariable adjusted HR 2.90 (95% CI 1.02-8.28, p = 0.04)] than that in the low-level group, and a high baseline vascular endothelial growth factor receptor-2 level was associated with a longer PFS [multivariable adjusted HR 0.43 (95% CI 0.19-0.98, p = 0.04)]. CONCLUSION: Especially NRP-1 and PlGF have prognostic potential in metastatic breast cancer patients treated with a bevacizumab-taxane combination. Patients with low plasma levels of NRP-1 or PlGF have longer OS than patients with high levels. Patients with both low NRP-1 and PlGF levels appear to have excellent long-term survival. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT00979641, registration date 18/09/2009. The regional Ethics Committee: R08142M, registration date 18/11/2008.

The impact of prognostic factors and comorbidities on survival in older adults with stage I - III cutaneous melanoma in Southwest Finland: A register study.

INTRODUCTION: Despite being diagnosed with thicker and more often ulcerated melanomas, cancer-specific survival (CSS) is not necessarily inferior in older adults with melanoma compared to younger patients. MATERIALS AND METHODS: Our aim was to evaluate the impact of baseline melanoma-specific prognostic factors and comorbidities on recurrence-free survival (RFS), CSS, and overall survival (OS) in patients aged 70-79 (n = 474) and ≥ 80 years (n = 286) with resected stage I - III cutaneous melanoma in Southwest Finland between January 1, 2000 and December 31, 2020. Patients were restaged according to the 8th edition of TNM classification, and comorbidities were assessed using the Charlson Comorbidity Index (CCI). RESULTS: Patients aged ≥80 years had thicker and more commonly ulcerated melanomas: 43.0%, 40.9%, and 16.1% of patients aged ≥80 and 56.5%, 25.3%, and 18.1% of patients aged 70-79 years were diagnosed with stage I, II, and III melanoma, respectively. Multiple comorbidities (CCI ≥2) were more common and sentinel lymph node biopsy less frequently performed in patients aged ≥80 years. RFS and CSS were similar in patients aged 70-79 years and ≥ 80 years: median RFS 13.8 years vs not reached, with the hazard ratio of melanoma recurrence or death from melanoma 1.25 (95% confidence interval [CI]: 0.91-1.71); median CSS was not reached, with the hazard ratio of death from melanoma 1.12 (95%CI: 0.81-1.75). The proportion of patients who were alive with melanoma recurrence or had died from melanoma was similar in both age groups. In multivariable analysis, higher pathological stage was the only independent risk factor for short RFS regardless of age group, sex, CCI, and tumor ulceration. Higher stage and male sex were associated with short CSS. Age ≥ 80 years, stage III disease, and CCI ≥ 2 were associated with short OS and female sex with long OS in multivariable analysis. DISCUSSION: Pathological stage was the most influential factor determining RFS and CSS in older adults with resected stage I - III melanoma. Concerning OS, age ≥ 80 years, stage III disease, and multiple comorbidities had a significant negative impact.

Reasons for Treatment Discontinuation and Their Effect on Outcomes of Immunotherapy in Southwest Finland: A Retrospective, Real-World Cohort Study.

Immune checkpoint inhibitors (ICI) have improved survival in several cancer types. Still, most patients develop disease progression during or after treatment. We evaluated the reasons for treatment discontinuation and their effect on treatment outcomes in adult patients with advanced cancer with ICI in the first or later treatment lines in Southwest Finland between 1 January 2015 and 31 December 2021. Baseline characteristics and treatment outcomes were retrospectively obtained from the electronic medical records. There were 317 patients with 15 different cancer types, most commonly non-small cell lung cancer, melanoma, and kidney cancer, treated with ICI outside clinical trials. During follow-up, 94% of the patients had discontinued treatment. A total of 62% was due to disease progression, 17% due to immune-related adverse events (irAEs), 12% after achieving disease control or radiological response, and 9% due to poor performance status. The median progression-free survival (mPFS) was 5.4 months and the median overall survival (mOS) was 20.3 months in the whole cohort. Longer mPFS and mOS were observed in patients who discontinued ICI due to irAEs (24.3 and 49.2 months) and after disease control (49.7 months and not reached). In total, 46% of the patients who discontinued ICI after irAEs or disease control remained alive and progression-free during follow-up.

Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours.

INTRODUCTION: Gut microbiome-derived nanoparticles, known as bacterial extracellular vesicles (bEVs), have garnered interest as promising tools for studying the link between the gut microbiome and human health. The diverse composition of bEVs, including their proteins, mRNAs, metabolites, and lipids, makes them useful for investigating diseases such as cancer. However, conventional approaches for studying gut microbiome composition alone may not be accurate in deciphering host-gut microbiome communication. In clinical microbiome research, there is a gap in the knowledge on the role of bEVs in solid tumor patients. OBJECTIVES: Analyzing the functionality of bEVs using (meta)genomics and proteomics could highlight the unique aspects of host-gut microbiome interactions in solid tumor patients. Therefore, we performed a comparative analysis of the proteome and microbiota composition of gut microbiome-derived bEVs isolated from patients with solid tumors and healthy controls. METHODS: After isolating bEVs from the feces of solid tumor patients and healthy controls, we performed spectrometry analysis of their proteomes and next-generation sequencing (NGS) of the 16S gene. We also investigated the gut microbiomes of feces from patients and controls using 16S sequencing and used machine learning to classify the samples into patients and controls based on their bEVs and fecal microbiomes. RESULTS: Solid tumor patients showed decreased microbiota richness and diversity in both the bEVs and feces. However, the bEV proteomes were more diverse in patients than in the controls and were enriched with proteins associated with the metabolism of amino acids and carbohydrates, nucleotide binding, and oxidoreductase activity. Metadata classification of samples was more accurate using fecal bEVs (100%) compared with fecal samples (93%). CONCLUSION: Our findings suggest that bEVs are unique functional entities. There is a need to explore bEVs together with conventional gut microbiome analysis in functional cancer research to decipher the potential of bEVs as cancer diagnostic or therapeutic biomarkers.