7 research outputs found

    YKL-40 tissue expression and plasma levels in patients with ovarian cancer

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    <p>Abstract</p> <p>Background</p> <p>YKL-40 (chitinase-3-like-1) is a member of "mammalian chitinase-like proteins". The protein is expressed in many types of cancer cells and the highest plasma YKL-40 levels have been found in patients with metastatic disease, short recurrence/progression-free intervals, and short overall survival. The aim of the study was to determine the expression of YKL-40 in tumor tissue and plasma in patients with borderline ovarian tumor or epithelial ovarian cancer (OC), and investigate prognostic value of this marker.</p> <p>Methods</p> <p>YKL-40 protein expression was determined by immunohistochemistry in tissue arrays from 181 borderline tumors and 473 OC. Plasma YKL-40 was determined by ELISA in preoperative samples from 19 patients with borderline tumor and 76 OC patients.</p> <p>Results</p> <p>YKL-40 protein expression was found in cancer cells, tumor associated macrophages, neutrophils and mast cells. The tumor cell expression was higher in OC than in borderline tumors (p = 0.001), and associated with FIGO stage (p < 0.0001) and histological subtype (p = 0.0009). Positive YKL-40 expression (≥ 5% staining) was not associated with reduced survival. Plasma YKL-40 was also higher in patients with OC than in patients with borderline tumors (p < 0.0001), and it was positively correlated to serum CA-125 (p < 0.0001) and FIGO stage (p = 0.0001). Univariate Cox analysis of plasma YKL-40 showed association with overall survival (p < 0.0001). Multivariate Cox analysis, including plasma YKL-40, serum CA125, FIGO stage, age and radicality after primary surgery as variables, showed that elevated plasma YKL-40 was associated with a shorter survival (HR = 2.13, 95% CI: 1.40–3.25, p = 0.0004).</p> <p>Conclusion</p> <p>YKL-40 in OC tissue and plasma are related to stage and histology, but only plasma YKL-40 is a prognostic biomarker in patients with OC.</p

    Quality assessment of autografting by probability evaluation: model estimation by clinical end-points in newly diagnosed multiple myeloma patients

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    Background Pre-transplant clinical evaluation of autografting is an important step in predicting post-transplant support, complications and safety. Today, unfavorable outcomes such as early death or graft failure are rare, making them unsuitable for quality assessment of supportive autografting. However, end-points constructed from frequently occurring clinical events may estimate clinically relevant prognostic models. Methods The present retrospective analysis was based on two consecutive clinical trials in the Nordic area, including up to 640 newly diagnosed multiple myeloma patients. Results In the model, the efficacy (time on antibiotics and use of transfusions) was influenced by pre-transplant variables, including sex, nationality, serum creatinine, hemoglobin, disease stage at diagnosis, response following induction therapy, length of priming and average graft CD34(+) cell number per day of harvest. The toxicity end-point (time to blood cell recovery) was influenced by nationality, marrow plasma cell percentage, serum creatinine, M-component isotype, response to induction therapy, length of priming and graft CD34(+) cell number. The safety (early disease recurrence or death) was influenced by serum creatinine, hemoglobin, treatment response and CD34(+) cell number. Discussion In conclusion, the model illustrates that intervention strategies in quality assessment of autografting may benefit from probability estimates of graded clinical end-points
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