Approximately 30-40% of patients with well-differentiated neuroendocrine tumors present with carcinoid syndrome, which is a paraneoplastic syndrome associated with the secretion of several humoral factors. Carcinoid syndrome significantly and negatively affects patients' quality of life; increases costs compared with the costs of nonfunctioning neuroendocrine tumors; and results in changes in patients' lifestyle, such as diet, work, physical activity and social life. For several decades, patients with neuroendocrine tumors and carcinoid syndrome have been treated with somatostatin analogues as the first-line treatment. While these agents provide significant relief from carcinoid syndrome symptoms, there is inevitable clinical progression, and new therapeutic interventions are needed. More than 40 substances have been identified as being potentially related to carcinoid syndrome; however, their individual contributions in triggering different carcinoid symptoms or complications, such as carcinoid heart disease, remain unclear. These substances include serotonin (5-HT), which appears to be the primary marker associated with the syndrome, as well as histamine, kallikrein, prostaglandins, and tachykinins.Given the complexity involving the origin, diagnosis and management of patients with carcinoid syndrome, we have undertaken a comprehensive review to update information about the pathophysiology, diagnostic tools and treatment sequence of this syndrome, which currently comprises a multidisciplinary approach.
The interpretation of recently published phase III cancer trials by their authors or by editorialists was not influenced by financial relationships or industry sponsorship. Increased awareness of COI policies may have led to more integrity in cancer research reporting.
BackgroundIn patients with adenocarcinoma of the pancreas, there are no standard second-line regimens. Many pre-clinical studies have shown that metformin alone or when combined with paclitaxel has antitumour effects on this tumour. We have tested here the combination of paclitaxel and metformin for patients with gemcitabine-refractory pancreatic cancer.MethodsAn uncontrolled phase II trial was carried out based on a two–stage Simon’s design, with metformin and paclitaxel for patients with locally advanced or metastatic pancreatic cancer whose disease had progressed during first line treatment with a gemcitabine-based regimen. The primary endpoint was the disease control rate at eight weeks as per response evaluation criteria in solid tumours (RECIST) 1.1. Patients received paclitaxel 80 mg/m2 weekly for three weeks every 28 days and metformin 850 mg p.o. t.i.d. continuously until progression or intolerance state was reached.ResultsTwenty patients were enrolled from July 2011 to January 2014: N = 6 (31.6%) achieved the primary endpoint, with all presenting stable disease. Median overall survival (OS) was 128 days (range 17–697) and the median progression free survival (PFS) was 44 days (range 14–210). Eight patients (40%) presented treatment-related G3-4 toxicities with the most common one being diarrhoea.ConclusionsDespite the encouraging pre-clinical evidence of the antitumour activity of metformin in adenocarcinoma of the pancreas, the primary endpoint of the disease control rate was not met. Besides, the treatment combination was poorly tolerated and could not be studied further. This study highlights the importance of performing clinical trials to reassure preclinical or observational data.
6055 Background: Growing participation from industry in cancer research has resulted in increased reporting of COI. We aimed to test any association between author’s conclusion and sfCOI in cancer studies. Methods: All RCT and REd published in 6 major cancer journals in a 3.5 year period were selected. Two investigators blinded to COI disclosure independently analyzed each RCT and REd, classifying authors’ conclusions as highly positive, positive, neutral, negative, and highly negative with respect to author’s opinion on the experimental therapy. The agreement rate between investigators for conclusion classification was 90% (consensus was achieved for the remaining 10%). We also collected data on study results, COI and sponsorship. COI was defined as any self-reported financial tie between author and industry except for research funds. Predictors of positive/highly positive conclusions of RCT and of REd were tested separately in logistic regression multivariable models. Results: From Jan 2008 to Oct 2011, 1,485 articles were retrieved: 150 RCT and 140 REd were eligible. Among the RCT, 82 (55%) were positive, and 78 (52%) were entirely or partially funded by industry. Any sfCOI was present in 103 (69%) RCT and in 71 (47%) REd. Conclusions of REd and RCT were: 7.3% and 11.3% highly positive, 42.7% and 57.3% positive, 8.0% and 2.0% neutral, 29.3% and 18.7% negative, and 12.7% and 10.7% highly negative, respectively. Multivariable analysis showed that RCT positive result was the only significant predictor for positive conclusion by RCT authors (OR=109, 95% CI: 21-567; p<0.001). The only factor associated with positive conclusions of REd authors was a positive conclusion by RCT author (OR=42, 95% CI: 7-244; p<0.001). While 64 (43%) RCT reported negative results, 103 (68.7%) RCT authors interpreted studies positively. Logistic regression for discordance between RCT result and RCT conclusion did not find any association with COI. Conclusions: The interpretation of RCT results by authors was not influenced by sfCOI or trial sponsorship. Authors of REd were not influenced by study results or by their sfCOI when discussing cancer RCT.
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