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- Mehic, Merima, Sr., et al.
(författare)
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The role of deubiquitinating enzyme USP17, hyaluronan synthase 2, and hyaluronan in non-small-cell lung cancer oncogenic transformation
- 2018
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Ingår i: Clinical Cancer Research. - 1078-0432 .- 1557-3265. ; 24:1, s. 96-96
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Introduction: Lung cancer is the result of a multistep accumulation of genetic and/or epigenetic alterations; therefore, a better understanding of the molecular mechanism by which these alterations affect lung cancer pathogenesis would provide new diagnostic procedures and prognostic factors for early detection of recurrence. The remarkable qualitative and quantitative modifications of extracellular matrix components as the deubiquitinating enzyme (USP17), hyaluronan (HA), and hyaluronan synthases 2 (HAS 2) may favor invasion, cellular motility, and proliferation in several cancers including lung.Results: The silencing of USP17 led to decreased hyaluronan production, whereas the suppression of USP4 increased hyaluronan synthesis. Importantly, high levels of USP17 and HAS2 were detected in a panel of cancer cell lines compared to normal cells, and immunohistochemical stainings revealed higher expression of USP17 and HAS2 in tissues of lung cancer patients compared to normal tissue. Numerous epithelial cells expressed USP17 and HAS2 in dysplasia compared to squamous cell carcinoma (SqCC) (p=0.001). USP17 and HAS2 were prominently expressed in adenocarcinoma (ADC) (p≤0.005). HA immunostaining indexes were increased in ADC and SqCC compared to normal and dysplasia cells (p=0.05). Consistent with the immunohistochemical analyses, low amounts of hyaluronan and USP17 were observed in SqCC by confocal analysis, coincident with less colocalization as determined by confocal microscopy. In contrast, a high expression of hyaluronan (48% of positive index) and high USP17 expression (78% of positive index) in ADC was consistent with a higher degree of colocalization.Conclusions: HAS2, hyaluronan and USP17 were expressed at higher levels in particular in preneoplastic lesions and ADC, suggesting a role in NSCLC oncogenic transformation, possibly by promoting cellular division by USP17-mediated. Elucidation of the mechanism of how USP17 and HAS2 cooperate in the regulation of the cell cycle might be of therapeutic importance.
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| 2. |
- Yang, Meng, et al.
(författare)
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Prediagnosis leukocyte telomere length and risk of ovarian cancer
- 2016
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Ingår i: Clinical Cancer Research. - : American Association for Cancer Research. - 1078-0432 .- 1557-3265. ; 22
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Introduction: Ovarian cancer is characterized by substantial genomic instability. Telomeres, which protect the physical integrity of chromosomes, are shortened by each cell division, and evidence supports that longer telomeres may reduce genomic instability. While retrospective studies generally support an inverse association of telomere length and ovarian cancer risk, the measures of telomere length after diagnosis may be influenced by treatment. Therefore, we examined the relationship between leukocyte telomere length (LTL) assessed prior to diagnosis and risk of ovarian cancer in three prospective studies. Methods: We used buffy coat samples collected from healthy participants in the Nurses' Health Study (NHS), NHSII, and the Northern Sweden Health and Disease Study (NSHDS). Women who later developed ovarian cancer were matched to one or two controls on age, menopausal status, and date of blood collection. LTL was assessed using quantitative PCR-based assays in 5 batches with coefficients of variation of 10-15%. Odds ratios (OR) and 95% confidence intervals (CI) were estimated using conditional logistic regression, based on study-specific quartiles in controls, for each study separately. We used fixed-effects models for meta-analysis. Multivariate models adjusted for oral contraceptive use, tubal ligation, family history of ovarian cancer, parity, smoking status, and body mass index. Results: In total, there were 487 cases and 810 controls across the three studies. The mean age at blood collection ranged from 45 (NHSII) to 57 (NHS) years. In unadjusted and multivariate models, we observed a suggestion of an inverse association between LTL and ovarian cancer risk in each study, although none of the trend tests were statistically significant. In a meta-analysis of the multivariate adjusted models, women in the longest versus shortest quartile of LTL had a non-significant 26% lower risk of ovarian cancer (OR=0.74; 95%CI=0.49-1.12; p-trend=0.33). Conclusion: In this first prospective study of telomere length and ovarian cancer risk, we observed that longer leukocyte telomere length was suggestively associated with lower ovarian cancer risk. Given that serous tumors are more likely to exhibit genomic instability, we are currently evaluating the association for this subtype as well as conducting pooled analyses with common quartile cut points across studies.
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| 4. |
- Green, Henrik, et al.
(författare)
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In response [2]
- 2006
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Ingår i: Clinical Cancer Research. - 1078-0432 .- 1557-3265. ; 12:13
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Annan publikation (övrigt vetenskapligt/konstnärligt)
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| 6. |
- Netterberg, Ida, 1988-, et al.
(författare)
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Circulating tumor cell counts is a better predictor of overall survival than dynamic tumor size changes – a quantitative modeling framework
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Ingår i: Clinical Cancer Research. - 1078-0432 .- 1557-3265.
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Purpose: Quantitative relationships between treatment-induced changes in tumor size and circulating tumor cell (CTC) counts, and their links to overall survival (OS), are lacking. We here present a population modeling framework identifying and quantifying such relationships, based on longitudinal data collected in patients with metastatic colorectal cancer (mCRC) to evaluate the value of tumor size and CTC counts as predictors of OS.Experimental design: A pharmacometric approach (i.e., population pharmacodynamic modeling) was used to characterize the changes in tumor size and CTC count and evaluate them as predictors of OS in 451 patients with mCRC treated with chemotherapy and targeted therapy in a prospectively randomized phase 3 study (CAIRO2).Results: A tumor size model of tumor quiescence and drug-resistance, was used to characterize the tumor size time-course, and was, in addition to the total normalized dose (i.e., of all administered drugs) in a given cycle, related to the CTC counts through a negative binomial model (CTC model). A CTC count≥3/7.5 mL (hazard ratio=3.51, 95% confidence interval: 2.85-4.32), as described by the CTC model, was a better predictor of OS than tumor size changes. The modeling framework was applied to explore if dose-modifications (increased and reduced) would result in a CTC count below 3/7.5 mL after 1-2 weeks of treatment.Conclusions: Time-varying CTC counts can be useful for early predicting OS in patients with mCRC, and may therefore have potential for model-based treatment individualization. Although tumor size had a strong connection to CTC, its link to OS was weaker.
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