The effect of mindfulness-based interventions on biomarkers in cancer patients and survivors: A systematic review.

Various reviews and meta-analyses have shown the positive effects of mindfulness-based interventions (MBIs) on the mental health of cancer patients and survivors. Some studies have also investigated the impact of MBIs on physiological markers of health in oncology, but a systematic review has not been conducted in this field. The current paper aims to fill this gap in the literature. Following preferred reporting items for systematic reviews and meta-analyses 2020 guidelines, data were obtained from the databases of Pubmed, Scopus, Web of Science in May 2022. Twenty-five studies were included. Globally, 35 biomarkers were employed in these studies and were categorized 8 groups (cortisol; blood pressure (BP), heart rate, and respiratory rate; C-reactive protein; telomere length and telomerase activity (TA); genetic signature; cytokines and hormones; leucocyte activation; leucocyte count and cell subpopulation analysis). In seven of these categories of biomarkers, positive effects of MBIs were observed. The most promising results were obtained for cortisol, BP, TA and pro-inflammatory gene expression. However, the generally low number of studies per single biomarker limits the possibility to draw reliable conclusions. The present review presents a comprehensive state-of-the-art for MBIs in oncology on biomarkers, confirming MBIs' potential for improving physiological health in cancer patients and survivors besides those already shown in literature on psychological well-being.

Estimating survival in patients with melanoma brain metastases: prognostic value of lactate dehydrogenase.

Patients with melanoma brain metastases (MBM) have poor prognosis, albeit advances in locoregional and systemic treatments. The melanoma-specific Graded Prognostic Assessment (GPA) effectively stratifies survival for patients with MBM. Nevertheless, lactate dehydrogenase (LDH), a well known prognostic factor for patients with melanoma, is not represented in the GPA scores and might add prognostic information for patients with MBM. In this study, 150 consecutive patients with MBM were retrospectively analyzed with the aim of evaluating independent prognostic factors for MBM patients, including LDH. Furthermore, we implemented a disease-specific prognostic score and estimated survival according to treatment modalities. On the basis of multivariable Cox regression analyses, six prognostic factors (age, BRAF status, number of MBM, number of extracranial metastatic sites, performance status, and LDH level) resulted statistically significant in terms of survival and were combined in a prognostic score to stratify patients in distinct prognostic groups ( P  < 0.0001). Among treatment modalities, a multimodal approach with stereotactic radiosurgery or neurosurgery associated with systemic therapy showed the best outcome (median overall survival: 12.32 months, 95% confidence interval, 7.92-25.30). This is the first study to demonstrate that LDH has independent prognostic value for patients with MBM and might be used to improve prognostic stratification, albeit external validation is mandatory. Survival of patients with MBM is affected by both disease-specific risk factors and treatment modalities, with locoregional treatments associated with better outcomes.

Multidisciplinary Team Meeting Proposal and Final Therapeutic Choice in Early Breast Cancer: Is There an Agreement?

Background: A multidisciplinary team meeting (MDM) approach in breast cancer (BC) management is a standard of care. One of the roles of MDMs is to identify the best diagnostic and therapeutic strategies for patients (pts) with new diagnosis of early BC. The purpose of this study was to define whether there was an agreement between the planned program (i.e., MDMs-based decision) and that actually applied. In addition, the study explored factors associated with discordance. Methods: We conducted a retrospective study of a consecutive series of 291 patients with new diagnosis of early BC, discussed at MDMs at the University Hospital of Udine (Italy), from January 2017 to June 2018. The association between clinico-biological factors and discordance between what was decided during the MDMs and what was consequently applied by the oncologist was explored through uni- and multivariate logistic regression analyses. Results: The median age was 62 years (range 27-88 years). Among invasive early BC patients, the most frequent phenotype was luminal A (38%), followed by luminal B (33%), HER2-positive (12%), and triple-negative (5%). In situ carcinoma (DCIS) represented 12% of cases. The median time from MDM discussion to first oncologic examination was 2 weeks. The rate of discordance between MDM-based decision and final choice, during a face-to-face consultation with the oncologist, was 15.8% (46/291). The most frequent reason for changing the MDM-based program was clinical decision (87%). Follow-up was preferred to the chemotherapy (CT) proposed within the MDMs in 15% of cases, and to the endocrine therapy (ET) in 39% of cases (among these, 44.5% had a diagnosis of DCIS). Therapeutic change from sequential CT-ET to ET alone was chosen in 16/46 pts (35%): among these patients, seven had a luminal B disease and six had an HER2-positive disease. On univariate analysis, factors associated with discordance were values of Ki-67 14%-30% (OR 3.91; 95% CI 1.19-12.9), age >70 years (OR 2.44, 95% CI 1.28-4.63), housewife/retired status (OR 2.35, 95% CI 1.14-4.85), polypharmacy (OR 1.95; 95% CI 1.02-3.72), postmenopausal status (OR 4.15; 95% CI 1.58-10.9), and high Charlson Comorbidity Index (OR 1.31; 95% CI 1.09-1.57). The association with marital status, educational level, alcohol and smoke habits, presence of a caregiver, parity, grading, histotype and phenotype, and stage was not statistically significant. On multivariate analysis, only Ki-67 value maintained its statistical significance. Conclusion: The results of our study could be useful for enhancing the role of MDMs in the clinical decision-making process in early BC.

Immunotherapy for older patients with melanoma: From darkness to light?

Approximately 40% of malignant melanomas are diagnosed in patients older than 65 years. Elderly patients with melanoma present clinicopathological features related to a more aggressive biology, and they are often diagnosed with advanced stage of disease. Interestingly, in older patients the immune system can be altered with changes both in the innate system and in the adaptive immune system with the acquisition of a pro-inflammatory and immune suppressive phenotype. Immunotherapy with immune checkpoint inhibitors has reshaped the treatment strategies and prognosis of patients with melanoma, and particularly, older age should not be considered a contraindication for immunotherapy. However, data regarding efficacy and safety of immunotherapy in elderly population are still limited because frail older patients are generally excluded from clinical trials. Recently, real-world data have shed light on similar efficacy and safety of immunotherapy in older population compared with younger counterpart. The aim of the present review was to summarize the available knowledge on the underlying immune system in older patients with a diagnosis of melanoma and the immunotherapeutic approaches in this population.

Breakthrough Cancer Pain Clinical Features and Differential Opioids Response: A Machine Learning Approach in Patients With Cancer From the IOPS-MS Study.

PURPOSE: A large proportion of patients with cancer suffer from breakthrough cancer pain (BTcP). Several unmet clinical needs concerning BTcP treatment, such as optimal opioid dosages, are being investigated. In this analysis the hypothesis, we explore with an unsupervised learning algorithm whether distinct subtypes of BTcP exist and whether they can provide new insights into clinical practice. METHODS: Partitioning around a k-medoids algorithm on a large data set of patients with BTcP, previously collected by the Italian Oncologic Pain Survey group, was used to identify possible subgroups of BTcP. Resulting clusters were analyzed in terms of BTcP therapy satisfaction, clinical features, and use of basal pain and rapid-onset opioids. Opioid dosages were converted to a unique scale and the BTcP opioids-to-basal pain opioids ratio was calculated for each patient. We used polynomial logistic regression to catch nonlinear relationships between therapy satisfaction and opioid use. RESULTS: Our algorithm identified 12 distinct BTcP clusters. Optimal BTcP opioids-to-basal pain opioids ratios differed across the clusters, ranging from 15% to 50%. The majority of clusters were linked to a peculiar association of certain drugs with therapy satisfaction or dissatisfaction. A free online tool was created for new patients' cluster computation to validate these clusters in future studies and provide handy indications for personalized BTcP therapy. CONCLUSION: This work proposes a classification for BTcP and identifies subgroups of patients with unique efficacy of different pain medications. This work supports the theory that the optimal dose of BTcP opioids depends on the dose of basal opioids and identifies novel values that are possibly useful for future trials. These results will allow us to target BTcP therapy on the basis of patient characteristics and to define a precision medicine strategy also for supportive care.

Prognostic evaluation in palliative care: final results from a prospective cohort study.

Prognostic characterization in the initial assessment of patients with advanced cancer disease is an essential step to plan the most appropriate therapeutic program. Since clinical prediction of survival (CPS) may be of limited value, some authors have tried to integrate specific prognostic factors into prognostic multidimensional scores. We carried out a prospective cohort study in two palliative care units to compare the accuracy of the Palliative Prognostic (PaP) Score, the Objective Prognostic Score (OPS), and the Palliative Prognostic Index (PPI). In addition, we compared the accuracy of the CPS independently estimated by different healthcare professionals and we tested the role of laboratory results, together with clinical and social factors in predicting survival. Clinical and laboratory data of 334 advanced cancer patients were prospectively collected from the time of in-hospital admission. PaP Score was the most accurate index of survival prediction, followed by PPI; CPS estimates' accuracy was similar among physicians and nurse. All healthcare professionals tended to underestimate the real survival. Integrating CPS with multidimensional indexes may further improve the patient's management. The degree of autonomy and the number of metastatic sites were independent prognostic factors for 30-days mortality and overall survival in multivariate analysis.

Factors Influencing the Clinical Presentation of Breakthrough Pain in Cancer Patients.

Background: The aim of this study was to identify potential variables influencing the clinical presentation of breakthrough cancer pain (BTP). Methods: Cancer patients with a diagnosis of BTP were enrolled. Demographic and clinical characteristics, as well as background pain and BTP characteristics were collected. Multivariate analyses were conducted to assess the correlation between BTP characteristics and the variables examined. Results: Data of 4016 patients were analysed. Average daily number of BTP episodes was 2.4, mean intensity was 7.5, and a mean duration was 43.3 min. A short onset BTP was observed in 68.9% of patients. In 30.5% of patients BTP was predictable. There were 86.0% of participants who reported a marked interference of BTP with their daily activities. Furthermore, 86.8% of patients were receiving opioids for the management of BTP. The average time to meaningful pain relief was 16.5 min and 70.9% of patients were satisfied with their BTP medications. Age, head and neck cancer, Karnofsky, background pain intensity, predictable and fast onset BTP were independently associated with the number of BTP episodes. BTP pain intensity was independently associated with background pain intensity, fast onset BTP, and Karnofsky. Neuropathic pain mechanism was independently associated with unpredictable BTP. Variables independently associated with a longer duration of BTP were age, place of visit, cancer diagnosis, disease-oriented therapy, background pain intensity and mechanism, and unpredictable BTP. Age, Karnofsky, background pain intensity, fast onset, and long duration of BTP were independently associated with interference with daily activity. Conclusions: BTP has a variable presentation depending on interdependent relationships among its different characteristics.

Expression of thymidine phosphorylase and cyclooxygenase-2 in melanoma.

Several studies have reported an increase in vascular structures in malignant melanoma. Neovascularization can be enhanced by several factors. Among them, thymidine phosphorylase (TP) and cyclooxygenase-2 (COX-2) have been reported to play a role. The expressions of TP and COX-2 were evaluated trough immunohistochemistry in a series of 78 primary cutaneous melanomas diagnosed between 2000 and 2004. The expressions of TP and COX-2 through mRNA and western blot analysis were also evaluated in several melanoma cell lines. TP expression and COX-2 expression were considered positive in 25 cases (32%) and 22 cases (28.2%), respectively. TP-positive melanomas showed a lower mitotic rate (P=0.008), smaller thickness (P=0.01), and absence of lymphovascular invasion (P=0.04). COX-2-positive melanomas showed a higher mitotic rate (P=0.01) and higher thickness (P=0.03). COX-2 expression was associated with reduced disease-free survival (P=0.01). COX-2-positive cases showed a trend toward reduced survival, whereas TP was not correlated with overall survival. COX-2 expression was detected in four of 11 melanoma cell lines both by mRNA and by western blot analysis. Our data show that TP expression is associated with more favorable prognostic factors (such as thin melanoma, low mitotic count, and absence of lymphovascular invasion), whereas COX-2 expression is associated with poor prognostic factors (thicker melanoma and high mitotic count).

Determinants of recovery from amenorrhea in premenopausal breast cancer patients receiving adjuvant chemotherapy in the taxane era.

Chemotherapy-induced amenorrhea occurs in about 20-70% of premenopausal breast cancer patients. Chemotherapy-induced amenorrhea can affect choice of hormonal therapy, fertility, and quality of life of breast cancer survivors. We retrospectively analyzed the incidence of amenorrhea after adjuvant chemotherapy and the subsequent recovery of the menses in 145 breast cancer patients. Age, smoking, alcohol consumption, body mass index, chemotherapy regimen, previous hormonal therapies, and previous childbearing were analyzed as potential predictive factors of ovarian function recovery. Median age was 42 years at the beginning of adjuvant chemotherapy with 30.3% of patients below 40 years of age. The majority (87.6%) of patients received anthracycline-based chemotherapy, 35.2% of patients received a cyclophosphamide-methotrexate-5-fluorouracil regimen and 42.8% received a taxane. The incidence of chemotherapy-induced amenorrhea was 80, and 35.3% of these patients resumed menses after a median of 8 months. In multivariate analysis, younger age (<40 years, P=0.01) and taxane-based chemotherapy (P=0.03) were associated with increased probability of recovery of menses after chemotherapy-induced amenorrhea. In contrast, cyclophosphamide-methotrexate-5-fluorouracil-based chemotherapy (P=0.07) and previous childbearing (P=0.04) were associated with an increased probability of permanent chemotherapy-induced amenorrhea. Recovery of menses after chemotherapy-induced amenorrhea occurs more probably in younger women, with no pregnancies and receiving taxanes.