Oxycodone/Acetaminophen: The Tailoring Combination Treatment for Specific Clinical Profile of Opioid Well-Responsive Cancer Pain

Background: International guidelines recommend moderate-to-severe cancer pain to be treated with strong opioids. However, pain management remains an unsolved matter, at least in the demanding oncology and palliative care setting. Although cancer pain consists of multiple components, which interact in complex ways where combination therapy can better intercept multiple pain characteristics, few studies have used a non-opioid/opioid association to exploit possible synergistic actions. Even the efforts of a recent approach emphasizing appropriate pain assessment and accurate classification to obtain personalized pain management have not produced a satisfactory analgesic strategy. Objective: This analysis was intended to evaluate the effectiveness of the immediate release fixed combination of oxycodone/acetaminophen (OxyIR/Par) for the treatment of moderate-to-severe intensity background pain used alone or in combination with other strong opioids in cancer patients with breakthrough cancer pain (BTcP). This is a secondary analysis of a wider observational, prospective, multicenter study [Italian Oncologic Pain multiSetting Multicentric Survey (IOPS-MS)] performed on 179 patients treated with opioids for cancer pain who received the fixed combination of oxycodone/acetaminophen (OxyIR/Par) for the treatment of background pain (BGP). Results: Cancer patients with breakthrough cancer pain and controlled BGP (Background Pain) were classified according to the presence of analgesic therapy with tablets of fixed combination OxyIR/Par alone (group A, n=120) or tablets of fixed combination OxyIR/Par combined with other strong opioids (group B, n=59). Clinical features of group A were different to group B: higher mean Karnofsky Performance Status Index 70.3% (95% CI=67.2-73.5; median=70, CI=60-80) vs 58.3 (95% CI=53.4-63.2; median=50, CI=45-70) (P<0.001), and mainly group A patients were treated in an ambulatory setting (55.0% group A vs 33.9% group B) (p<0.001). Both groups had managed BGP with similar mean dosages (group A: 12.0, CI=10.5-13.4; group B: 13.1, CI=11.0-15.1) and frequencies of OxyIR/Par alone for group A and in association to other opioids for group B, but Breakthrough cancer Pain (BTcP) exhibited different characteristics in the two groups, showing a lower mean intensity numerical rating scale (NRS) of 7.5 (95% CI=7.2-7.7; median=7, CI=7-8 group A) vs 7.9 (95% CI=7.6, 8.2; median= 8, CI=7-9 group B) (P=0.04) and a higher percentage of patients had a faster onset, defined as the maximum intensity reached in less than 10 minutes, 81.7% (N=98) in group A vs 59.3% (n=35) in group B (P=0.002). Conclusion: This is the first analysis about the efficacy of an immediate-release fixed combination of OxyIR/Par in the real world for moderate-to-severe background cancer pain and breakthrough cancer pain. The oral fixed combination OxyIR/Par provided an adequate level of analgesia for moderate-severe background cancer pain, in a different cohort of cancer patients with different performance status, both in ambulatory and palliative settings. The low dosage of fixed combination OxyIR/Par was effective alone or in association with other opioids

Receptor Activator of NF-kB (RANK) Expression in Primary Tumors Associates with Bone Metastasis Occurrence in Breast Cancer Patients

Background: Receptor activator of NFkB (RANK), its ligand (RANKL) and the decoy receptor of RANKL (osteoprotegerin, OPG) play a pivotal role in bone remodeling by regulating osteoclasts formation and activity. RANKL stimulates migration of RANK-expressing tumor cells in vitro, conversely inhibited by OPG. Materials and Methods: We examined mRNA expression levels of RANKL/RANK/OPG in a publicly available microarray dataset of 295 primary breast cancer patients. We next analyzed RANK expression by immunohistochemistry in an independent series of 93 primary breast cancer specimens and investigated a possible association with clinicopathological parameters, bone recurrence and survival. Results: Microarray analysis showed that lower RANK and high OPG mRNA levels correlate with longer overall survival (P = 0.0078 and 0.0335, respectively) and disease-free survival (P = 0.059 and 0.0402, respectively). Immunohistochemical analysis of RANK showed a positive correlation with the development of bone metastases (P = 0.023) and a shorter skeletal disease-free survival (SDFS, P = 0.037). Specifically, univariate analysis of survival showed that "RANK-negative" and "RANK-positive" patients had a SDFS of 105.7 months (95% CI: 73.9-124.4) and 58.9 months (95% CI: 34.7-68.5), respectively. RANK protein expression was also associated with accelerated bone metastasis formation in a multivariate analysis (P = 0.029). Conclusions: This is the first demonstration of the role of RANK expression in primary tumors as a predictive marker of bone metastasis occurrence and SDFS in a large population of breast cancer patients

Palliative sedation at home: A medical act practicable everywhere

Background: Few studies regarding palliative sedation (PS) have been carried out in-home care (HC)setting. This study aimed to describe the prevalence of PS and its associated factors for end-of-life cancerpatients sedated at home in a single institution for 12 months.Patients and methods: A retrospective study was carried out by the Tuscany Tumour Association includingadult patients with a diagnosis of onco-haematologic disease, who had undergone palliativesedation at home (HPS) or not (non-HPS), in one year. Sociodemographic variables (sex and age) andclinical variables (primary tumour location, active treatment (AT) or best supportive care at the time ofpalliative sedation, causes of sedation, duration of sedation) were gathered from the clinical historiesof the cohort of patients died at home.Results: From January to December 2018, 591 died at home mean age was 74 years ± 14 years, 311(52%) patients were males, and 246 (42%) were still on AT. 110 (19%) received HPS. Dyspnoea (52%)and delirium (42%) were the main refractory symptoms leading to HPS. Univariate analysis showeda significant difference between HPS and non-HPS patients according to age and gender with younger(χ2 = 2.8, p = 0.0043) male (χ2 = 5.5, p = 0.019) patients more likely to undergo PS. Furthermore,adjusted odds ratios for each tumour showed that the risk of sedation was lower among patients withgastrointestinal cancer (OR adj = 0.59; 95% CI: 0.37–0.94), and higher for patients with melanoma (ORadj = 5.36; 95% CI: 1.35–21.24).Conclusions: This study confirms the feasibility and the important role as a therapeutic tool playedby HPS in advanced cancer patients. It underlines the importance to pay particular attention to thosepatients more likely to undergo HPS (i.e. younger, males and/or melanoma patients), limiting useless ordetrimental end-of-life antineoplastic treatments

Hormone replacement therapy in cancer survivors: utopia?

As growing of old women population, menopausal women will also increase: an accurate estimation of postmenopausal population is an essential information for health care providers considering that with aging, the incidence of all cancers is expected to increase. Hormone replacement therapy (HRT) has proven to be highly effective in alleviating menopausal symptoms such as hot flashes, night sweats, dyspareunia, sexual disorders, and insomnia and in preventing osteoporosis. According to preclinical data, estrogen and progesterone are supposed to be involved in the induction and progression of breast and endometrial cancers. Similarly, in epithelial ovarian cancer (EOC), the pathogenesis seems to be at least partly hormonally influenced. Is HRT in gynecological cancer survivors possible? The literature data are controversial. Many clinicians remain reluctant to prescribe HRT for these patients due to the fear of relapse and the risk to develop coronary heart disease or breast cancer. Before the decision to use HRT an accurate counselling should be mandatory in order to individualizing on the basis of potential risks and benefits, including a close follow-up. Nevertheless, we do believe that with strong informed consent doctors may individually consider to prescribe some course of HRT in order to minimize menopausal symptoms and disease related to hormonal reduction

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 rapidonset 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