Pre-existing diabetes mellitus and all-cause mortality in cancer patients: a register-based study in Latvia.

BACKGROUND: Most studies from high income countries consistently report that preexisting diabetes reduces overall survival of cancer patients. We examined this association in a retrospective cohort study using two nation-wide population-based data sets in Latvia. MATERIAL AND METHODS: The Cancer Register, linked with the Diabetes Register and Causes of Death Database, was the first data source used to select 22,936 men and 25,338 women with cancer diagnosed from 2009 to 2013. The follow-up period ended on 28 February 2015. The National Health Service data served as a second data source, which was used to select 10,130 men and 13,236 women with cancer as the main diagnosis, who were discharged from oncology hospitals from 2009 to 2012. Prescriptions of reimbursed antidiabetic medications indicated prior diabetes status. The follow-up period started at the date of discharge and ended on 31 December 2013. A Cox proportional hazards model was used to assess association between preexisting diabetes and all-cause mortality, adjusted for age. RESULTS: Men with preexisting diabetes had better overall short-term survival: the age-adjusted hazard ratios (95% CI) were 0.86 (0.79-0.93) for the first year and 0.89 (0.80-0.98) for the first two years after cancer diagnosis according to the disease register and health service data, respectively. After three full follow-up years, their relative mortality increased, with an age-adjusted hazard ratio of 1.60 (1.28-1.99). Among women, preexisting diabetes was associated with slightly higher all-cause mortality during the entire follow-up period, with age-adjusted hazard ratios of 1.17 (1.10-1.24) for the disease register data and 1.11 (1.02-1.21) for the health service data. CONCLUSION: Interestingly, we found better overall survival of diabetic men during the first years after cancer diagnosis. We hypothesize that access to health services may be advantageous to diabetic patients who are in close contact with the healthcare system.

Surgical Treatment of Hepatocellular Carcinoma with a Tumor Thrombus Invading the Right Atrium: A Case Report.

Up to 3% of all hepatocellular carcinomas (HCCs) present with a tumor thrombus (TT) in the inferior vena cava (IVC) and right atrium (RA). Extensive growth of HCC into the IVC and the RA is associated with a particularly poor prognosis. This clinical condition is related to a high risk of sudden death due to pulmonary embolism or acute heart failure. Therefore, a technically challenging treatment undergoing hepatectomy and cavo-atrial thrombectomy is necessary. We report a 61-year-old man presenting with right subcostal pain, progressive weakness, and periodic shortness of breath for 3 months. He was diagnosed with advanced HCC with a TT extending from the right hepatic vein into the IVC and RA. A multidisciplinary meeting with cardiovascular and hepatobiliary surgeons, oncologists, cardiologists, anesthesiologists, and radiologists was held to determine the best treatment approach. Initially, the patient underwent right hemihepatectomy. As follows, the cardiovascular stage using cardiopulmonary bypass was successfully performed, removing the TT from the RA and ICV. In the early postoperative period, the patient remained stable and was discharged on the 8th postoperative day. A morphological examination revealed grade 2/3 HCC, a clear cell variant with microvascular and macrovascular invasion. Immunohistochemical staining was positive for HEP-1, CD10, whereas negative for S100. The morphological and immunohistochemical results corresponded to HCC. The treatment of such patients requires the cooperation of various specialties. Although the approach of the surgery is extremely complex including specific technical support, as well as high perioperative risks, the result offers favorable clinical outcomes.

Validity of multiplex biomarker model of 6 genes for the differential diagnosis of thyroid nodules.

BACKGROUND: Currently the cytological examination of fine needle aspiration (FNA) biopsies is the standard technique for the pre-operative differential diagnosis of thyroid nodules. However, the results may be non-informative in ~20% of cases due to an inadequate sampling and the lack of highly specific, measurable cytological criteria, therefore ancillary biomarkers that could aid in these cases are clearly needed. The aim of our study was to evaluate the mRNA expression levels of 8 candidate marker genes as the diagnostic biomarkers for the discrimination of benign and malignant thyroid nodules and to find a combination of biomarkers with the highest diagnostic value. MATERIALS AND METHODS: mRNA expression levels of eight candidate marker genes - BIRC5, CCND1, CDH1, CITED1, DPP4, LGALS3, MET and TFF3 was measured by real-time RT-PCR in paired nodular and surrounding normal thyroid tissue specimens of 105 consecutive patients undergoing thyroid surgery and compared between different types of thyroid lesions. RESULTS: Significant differences in the mRNA expression levels between the normal and malignant thyroid tissues and between benign and malignant nodules were found for BIRC5, CCND1, CITED1, DPP4, LGALS3, MET and TFF3, but not CDH1. On a single gene basis, relative quantity (RQ) of LGALS3 had the highest diagnostic value for the discrimination of malignant and benign thyroid nodules (AUC = 0.832, P < 0.0001 and 90.9% sensitivity and 65.6% specificity at the optimal cut-off on ROC curve). The only two-marker set that outperformed LGALS3 was RQ sum of LGALS3 and BIRC5 (AUC = 0.841, P < 0.0001). An application of multivariate logistic regression analysis resulted in the generation of a multiplex biomarker model based on LGALS3, BIRC5, TFF3, CCND1, MET and CITED1 that had considerably higher specificity than a single marker or two marker gene-based models (AUC = 0.895, P < 0.0001, 70.5% sensitivity and 93.4% specificity). CONCLUSIONS: This study confirmed that mRNA expression levels of 7 out of 8 candidate genes analysed have a diagnostic value for the distinction of benign and malignant thyroid nodules. The multiplex biomarker model based on 6 genes outperformed a single marker or two marker-based models and warrants feasibility studies on FNA biopsies and the validation in a larger cohort of patients.