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.

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.

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.

Association of body mass index and outcome in advanced breast cancer

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Background: Obesity represents a well-known risk factor for the development of breast cancer and an adverse prognostic factor in early disease. Overweight is associated with reduced efficacy of aromatase inhibitors in adjuvant setting. Few data have been reported about the potential relationship of overweight and outcome in advanced breast cancer (ABC). Methods: We retrospectively evaluated body mass index (BMI) in a consecutive series of 400 ABC patients treated at our institution. BMI was calculated at baseline of diagnosis of ABC. We evaluated association of BMI and other prognostic and predictive markers with Progression Free Survival (PFS) and Overall Survival (OS). We evaluated PFS at first and subsequent lines of chemotherapy (CT) and endocrine therapy (ET). Overweight patients were defined as having BMI > 25. Results: Overweight patients were 52%. Median age of the population was 58 years. Median OS was 33.7 months. Overall, 76% of patients presented with ER+ and 17.7% with HER2+ ABC.Overweight was associated with increased age at diagnosis, menopausal status and luminal B or triple negative immunophenotype. At multivariate analysis, BMI > 25 was associated with better PFS at first-line ET (HR= 0.68, 95% CI 0.46-0.99). BMI was not associated with OS. Conclusions: BMI at baseline does not seem to be an adverse prognostic factor for ABC patients. Overweight may be associated with better PFS in endocrine responsive ABC treated with ET, especially in first-line setting. The role of BMI in ABC deserves to be further investigated.

Expression of periostin in human breast cancer

Background:

Periostin is a secreted adhesion protein, normally expressed in mesenchime-derived cells. Aberrant expression of the periostin gene in epithelial tumours seems to play a role in angiogenesis and metastases.

Aims:

To investigate periostin expression in a consecutive series of breast carcinomas and correlate it with established biological and prognostic factors.

Methods:

A consecutive series of 206 breast carcinomas was investigated by immunohistochemistry with a specific antiperiostin antibody. Immunohistochemical expression of oestrogen and progesterone receptors, Ki-67 (MIB-1), HER-2/neu, VEGF-A, VEGFR-1 and VEGFR-2 was analysed. Periostin expression was also investigated in MCF-7 and MDA-468 cell lines by immunohistochemistry, western blot and quantitative RT-PCR. Localisation of periostin was investigated in MCF-7 cells by the green fluorescent protein (GFP) approach.

Results:

Periostin was highly expressed in carcinoma cells, but not in normal breast tissues. The pattern of expression was mainly cytoplasmic. However, in 12% of cases a nuclear reactivity was observed. Nuclear periostin significantly correlated with tumour size, and with expression of oestrogen receptor, progesterone receptor, VEGF-A, VEGFR-1 and VEGFR-2. A nuclear localisation of periostin was also observed in MCF-7 and MDA-468 cell lines. In MCF-7 cells the nuclear localisation of periostin was also shown by transfection of a vector expressing a GFP-periostin chimeric protein.

Conclusions:

Results indicate that the aberrant gene expression of periostin in breast cancer cells is associated with an abnormal nuclear localisation of the protein. The nuclear localisation of periostin in breast cancer may induce significant biological effects.

Expression of periostin in human breast cancer: Biological and clinico-pathological correlations

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Background: Mesenchyme-specific genes are highly expressed by various types of human cancers. Recent lines of evidence suggest that periostin, a myoepithelial/basal gene, may play a role in the biology of breast cancer. Periostin is involved in metastatic process by taking part in mechanisms of adhesion and migration of epithelial cells. Furthermore, periostin seems to have a role in tumor angiogenesis through the up-regulation of vascular endothelial growth factor receptors in endothelial cells. We aimed at investigating the immunohistochemical expression of periostin in breast cancer and its correlation with established biological and prognostic factors. Methods: We performed immunohistochemical analysis of periostin in a consecutive series of 206 tumor samples from 200 patients with early breast carcinoma. To this aim, we used a specific antiperiostin antibody (Biovendor Laboratory Medicine, Inc., Palackeho 56, 612 00 Brno, Czech Republic). The intensity of immunoreactivity was scored as 0, 1, 2 or 3 denoting negative, weak, moderate and strong staining, respectively. Therefore, for statistical analysis, the periostin expression level for each case was putatively defined as positive if the predominant intensity was =1. We also analyzed immunohistochemical expression of Ki-67 (MIB-1), HER-2/neu, VEGF, VEGFR-1 and VEGFR- 2. Results: Periostin was found to be highly expressed by carcinoma cells, whereas it was absent in normal breast tissues. The pattern of expression was mainly cytoplasmic, although in some cases (11%) a nuclear reactivity was observed. A cytoplasmic expression was found in 108 out of 189 (57%) evaluable cases. Interestingly, a significant correlation was found between periostin expression and VEGF and VEGFR-1 (Spearman's rank test rho =0.37, p <0.0001 and rho=0.26, p=0.0005, respectively). Conclusions: These results strengthen the hypothesis of a relationship between periostin and vascular endothelial growth factor system. The role of periostin in angiogenesis and in other relevant molecular pathways in breast carcinoma deserves to be further investigated.

No significant financial relationships to disclose.