14 research outputs found

    Improved overall survival after implementation of targeted therapy for patients with metastatic renal cell carcinoma: Results from the Danish Renal Cancer Group (DARENCA) study-2

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    AbstractAimTo evaluate the implementation of targeted therapy on overall survival (OS) in a complete national cohort of patients with metastatic renal cell carcinoma (mRCC).MethodsAll Danish patients with mRCC referred for first line treatment with immunotherapy, TKIs or mTOR-inhibitors between 2006 and 2010 were included. Baseline and outcome data were collected retrospectively. Prognostics factors were identified using log-rank tests and Cox proportional hazard model. Differences in distributions were tested with the Chi-square test.Results1049 patients were referred; 744 patients received first line treatment. From 2006 to 2010 we observed a significant increase in the number of referred patients; a significant increase in treated patients (64% versus 75%, P=0.0188); a significant increase in first line targeted therapy (22% versus 75%, P<0.0001); a significant increase in second line treatment (20% versus 40%, P=0.0104), a significant increased median OS (11.5 versus 17.2 months, P=0.0435) whereas survival for untreated patients remained unchanged. Multivariate analysis validated known prognostic factors. Moreover, treatment start years 2008 (HR 0.74, 95% CI, 0.55–0.99; P=0.0415), 2009 (HR 0.72, 95% CI, 0.54–0.96; P=0.0277) and 2010 (HR 0.63, 95% CI, 0.47–0.86; P=0.0035) compared to 2006, and more than two treatment lines received for patients with performance status 0–1 (HR 0.76, 95% CI, 0.58–0.99; P=0.0397) and performance status 2–3 (HR 0.19, 95% CI, 0.06–0.60; P=0.0051) were significantly associated with longer OS.ConclusionThis retrospective study documents that the implementation of targeted therapy has resulted in significantly improved treatment rates and overall survival in a complete national cohort of treated mRCC patients

    A five-factor biomarker profile obtained week 4-12 of treatment for improved prognostication in metastatic renal cell carcinoma:Results from DARENCA study 2

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    <p><i>Background</i>: Several biomarkers of treatment efficacy have been associated with a better prognosis in patients with metastatic renal cell carcinoma (mRCC). The prognostic significance of biomarkers in the early treatment phase is unclear.</p> <p><i>Material and methods</i>: In a complete national cohort of mRCC patients receiving first-line tyrosine kinase inhibitors (TKI) or interleukin-2 based immunotherapy (IT) from 2006 to 2010, overall survival (OS) was analysed for baseline International mRCC Database Consortium (IMDC) classification factors and on-treatment time-dependent biomarkers obtained day 1 each cycle week 4–12 after treatment initiation with multivariate analysis and bootstrap validation.</p> <p><i>Results</i>: A total of 735 patients received first-line TKI (59%) or IT (41%). Median OS was overall 14.0 months and 33.4, 18.5, and 5.8 months for baseline IMDC favourable, intermediate, and poor risk groups, respectively (<i>p</i> < 0.0001). Systolic blood pressure ≥140 mmHg, neutrophils < lower level of normal (LLN), platelets < LLN, sodium ≥ LLN, and LDH ≤1.5 times upper level of normal after treatment initiation were significantly associated with favourable OS independent of baseline IMDC risk group in multivariate analyses stratified for TKI and IT (<i>p</i> ≤ 0.04). Concordance (C)-index for IMDC classification alone was 0.625 (95% CI 0.59–0.66) and combined with the five-factor biomarker profile 0.683 (95% CI 0.64–0.72). For patients with good (3–5 factors) and poor (0–2 factors) biomarker profile median OS were 23.5 and 9.6 months, respectively (<i>p</i> < 0.0001). Adding the five-factor biomarker profile significantly improved prognostication in IMDC intermediate (25.7 vs. 12.0 months, <i>p</i> < 0.0001) and poor (12.8 vs. 6.4 months, <i>p</i> < 0.0001) risk groups. A trend was seen in IMDC favourable risk group (38.9 vs. 28.7 months, <i>p</i> = 0.112).</p> <p><i>Conclusion</i>: On-treatment hypertension, neutropenia, thrombocytopenia, LDH below 1.5 times upper level of normal, and normal sodium, obtained week 4–12 of treatment, are independent biomarkers of favourable outcome in mRCC, independent of treatment type.</p

    A five-factor biomarker profile obtained week 4–12 of treatment for improved prognostication in metastatic renal cell carcinoma: Results from DARENCA study 2

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    Background: Several biomarkers of treatment efficacy have been associated with a better prognosis in patients with metastatic renal cell carcinoma (mRCC). The prognostic significance of biomarkers in the early treatment phase is unclear. Material and methods: In a complete national cohort of mRCC patients receiving first-line tyrosine kinase inhibitors (TKI) or interleukin-2 based immunotherapy (IT) from 2006 to 2010, overall survival (OS) was analysed for baseline International mRCC Database Consortium (IMDC) classification factors and on-treatment time-dependent biomarkers obtained day 1 each cycle week 4–12 after treatment initiation with multivariate analysis and bootstrap validation. Results: A total of 735 patients received first-line TKI (59%) or IT (41%). Median OS was overall 14.0 months and 33.4, 18.5, and 5.8 months for baseline IMDC favourable, intermediate, and poor risk groups, respectively (p p ≤ 0.04). Concordance (C)-index for IMDC classification alone was 0.625 (95% CI 0.59–0.66) and combined with the five-factor biomarker profile 0.683 (95% CI 0.64–0.72). For patients with good (3–5 factors) and poor (0–2 factors) biomarker profile median OS were 23.5 and 9.6 months, respectively (p p p p = 0.112). Conclusion: On-treatment hypertension, neutropenia, thrombocytopenia, LDH below 1.5 times upper level of normal, and normal sodium, obtained week 4–12 of treatment, are independent biomarkers of favourable outcome in mRCC, independent of treatment type

    A five-factor biomarker profile obtained week 4–12 of treatment for improved prognostication in metastatic renal cell carcinoma: Results from DARENCA study 2

    No full text
    Background: Several biomarkers of treatment efficacy have been associated with a better prognosis in patients with metastatic renal cell carcinoma (mRCC). The prognostic significance of biomarkers in the early treatment phase is unclear. Material and methods: In a complete national cohort of mRCC patients receiving first-line tyrosine kinase inhibitors (TKI) or interleukin-2 based immunotherapy (IT) from 2006 to 2010, overall survival (OS) was analysed for baseline International mRCC Database Consortium (IMDC) classification factors and on-treatment time-dependent biomarkers obtained day 1 each cycle week 4–12 after treatment initiation with multivariate analysis and bootstrap validation. Results: A total of 735 patients received first-line TKI (59%) or IT (41%). Median OS was overall 14.0 months and 33.4, 18.5, and 5.8 months for baseline IMDC favourable, intermediate, and poor risk groups, respectively (p p ≤ 0.04). Concordance (C)-index for IMDC classification alone was 0.625 (95% CI 0.59–0.66) and combined with the five-factor biomarker profile 0.683 (95% CI 0.64–0.72). For patients with good (3–5 factors) and poor (0–2 factors) biomarker profile median OS were 23.5 and 9.6 months, respectively (p p p p = 0.112). Conclusion: On-treatment hypertension, neutropenia, thrombocytopenia, LDH below 1.5 times upper level of normal, and normal sodium, obtained week 4–12 of treatment, are independent biomarkers of favourable outcome in mRCC, independent of treatment type

    A five-factor biomarker profile obtained week 4–12 of treatment for improved prognostication in metastatic renal cell carcinoma: Results from DARENCA study 2

    No full text
    Background: Several biomarkers of treatment efficacy have been associated with a better prognosis in patients with metastatic renal cell carcinoma (mRCC). The prognostic significance of biomarkers in the early treatment phase is unclear. Material and methods: In a complete national cohort of mRCC patients receiving first-line tyrosine kinase inhibitors (TKI) or interleukin-2 based immunotherapy (IT) from 2006 to 2010, overall survival (OS) was analysed for baseline International mRCC Database Consortium (IMDC) classification factors and on-treatment time-dependent biomarkers obtained day 1 each cycle week 4–12 after treatment initiation with multivariate analysis and bootstrap validation. Results: A total of 735 patients received first-line TKI (59%) or IT (41%). Median OS was overall 14.0 months and 33.4, 18.5, and 5.8 months for baseline IMDC favourable, intermediate, and poor risk groups, respectively (p p ≤ 0.04). Concordance (C)-index for IMDC classification alone was 0.625 (95% CI 0.59–0.66) and combined with the five-factor biomarker profile 0.683 (95% CI 0.64–0.72). For patients with good (3–5 factors) and poor (0–2 factors) biomarker profile median OS were 23.5 and 9.6 months, respectively (p p p p = 0.112). Conclusion: On-treatment hypertension, neutropenia, thrombocytopenia, LDH below 1.5 times upper level of normal, and normal sodium, obtained week 4–12 of treatment, are independent biomarkers of favourable outcome in mRCC, independent of treatment type

    A five-factor biomarker profile obtained week 4–12 of treatment for improved prognostication in metastatic renal cell carcinoma: Results from DARENCA study 2

    No full text
    Background: Several biomarkers of treatment efficacy have been associated with a better prognosis in patients with metastatic renal cell carcinoma (mRCC). The prognostic significance of biomarkers in the early treatment phase is unclear. Material and methods: In a complete national cohort of mRCC patients receiving first-line tyrosine kinase inhibitors (TKI) or interleukin-2 based immunotherapy (IT) from 2006 to 2010, overall survival (OS) was analysed for baseline International mRCC Database Consortium (IMDC) classification factors and on-treatment time-dependent biomarkers obtained day 1 each cycle week 4–12 after treatment initiation with multivariate analysis and bootstrap validation. Results: A total of 735 patients received first-line TKI (59%) or IT (41%). Median OS was overall 14.0 months and 33.4, 18.5, and 5.8 months for baseline IMDC favourable, intermediate, and poor risk groups, respectively (p p ≤ 0.04). Concordance (C)-index for IMDC classification alone was 0.625 (95% CI 0.59–0.66) and combined with the five-factor biomarker profile 0.683 (95% CI 0.64–0.72). For patients with good (3–5 factors) and poor (0–2 factors) biomarker profile median OS were 23.5 and 9.6 months, respectively (p p p p = 0.112). Conclusion: On-treatment hypertension, neutropenia, thrombocytopenia, LDH below 1.5 times upper level of normal, and normal sodium, obtained week 4–12 of treatment, are independent biomarkers of favourable outcome in mRCC, independent of treatment type

    Riverine source of Arctic Ocean mercury inferred from atmospheric observations

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    Methylmercury is a potent neurotoxin that accumulates in aquatic food webs. Human activities, including industry and mining, have increased inorganic mercury inputs to terrestrial and aquatic ecosystems. Methylation of this mercury generates methylmercury, and is thus a public health concern. Marine methylmercury is a particular concern in the Arctic, where indigenous peoples rely heavily on marine-based diets. In the summer, atmospheric inorganic mercury concentrations peak in the Arctic, whereas they reach a minimum in the northern mid-latitudes. Here, we use a global three-dimensional ocean–atmosphere model to examine the cause of this Arctic summertime maximum. According to our simulations, circumpolar rivers deliver large quantities of mercury to the Arctic Ocean during summer; the subsequent evasion of this riverine mercury to the atmosphere can explain the summertime peak in atmospheric mercury levels. We infer that rivers are the dominant source of mercury to the Arctic Ocean on an annual basis. Our simulations suggest that Arctic Ocean mercury concentrations could be highly sensitive to climate-induced changes in river flow, and to increases in the mobility of mercury in soils, for example as a result of permafrost thaw and forest fires. Mercury is emitted from anthropogenic and natural sources primarily as elemental mercury (Hg0). The Hg0 atmospheric lifetime of 6–12 months allows transport of this emitted mercury on a hemispheric scale. Eventual oxidation to highly soluble HgII drives deposition in remote regions. Hg0 ha
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