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- Wegiel, Barbara, et al.
(författare)
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Carbon monoxide expedites metabolic exhaustion to inhibit tumor growth
- 2013
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Ingår i: Cancer Research. - : American Association for Cancer Research. - 0008-5472 .- 1538-7445. ; 73:23, s. 7009-7021
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Tidskriftsartikel (refereegranskat)abstract
- One classical feature of cancer cells is their metabolic acquisition of a highly glycolytic phenotype. Carbon monoxide (CO), one of the products of the cytoprotective molecule heme oxygenase-1 (HO-1) in cancer cells, has been implicated in carcinogenesis and therapeutic resistance. However, the functional contributions of CO and HO-1 to these processes are poorly defined. In human prostate cancers, we found that HO-1 was nuclear localized in malignant cells, with low enzymatic activity in moderately differentiated tumors correlating with relatively worse clinical outcomes. Exposure to CO sensitized prostate cancer cells but not normal cells to chemotherapy, with growth arrest and apoptosis induced in vivo in part through mitotic catastrophe. CO targeted mitochondria activity in cancer cells as evidenced by higher oxygen consumption, free radical generation, and mitochondrial collapse. Collectively, our findings indicated that CO transiently induces an anti-Warburg effect by rapidly fueling cancer cell bioenergetics, ultimately resulting in metabolic exhaustion.
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| 25. |
- Yang, Yaohua, et al.
(författare)
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Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk
- 2019
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Ingår i: Cancer Research. - : AMER ASSOC CANCER RESEARCH. - 0008-5472 .- 1538-7445. ; 79:3, s. 505-517
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Tidskriftsartikel (refereegranskat)abstract
- DNA methylation is instrumental for gene regulation. Global changes in the epigenetic landscape have been recognized as a hallmark of cancer. However, the role of DNA methylation in epithelial ovarian cancer (EOC) remains unclear. In this study, high-density genetic and DNA methylation data in white blood cells from the Framingham Heart Study (N = 1,595) were used to build genetic models to predict DNA methylation levels. These prediction models were then applied to the summary statistics of a genome-wide association study (GWAS) of ovarian cancer including 22,406 EOC cases and 40,941 controls to investigate genetically predicted DNA methylation levels in association with EOC risk. Among 62,938 CpG sites investigated, genetically predicted methylation levels at 89 CpG were significantly associated with EOC risk at a Bonferroni-corrected threshold of P < 7.94 x 10(-7). Of them, 87 were located at GWAS-identified EOC susceptibility regions and two resided in a genomic region not previously reported to be associated with EOC risk. Integrative analyses of genetic, methylation, and gene expression data identified consistent directions of associations across 12 CpG, five genes, and EOC risk, suggesting that methylation at these 12 CpG may influence EOC risk by regulating expression of these five genes, namely MAPT, HOXB3, ABHD8, ARHGAP27, and SKAP1. We identified novel DNA methylation markers associated with EOC risk and propose that methylation at multiple CpG may affect EOC risk via regulation of gene expression. Significance: Identification of novel DNA methylation markers associated with EOC risk suggests that methylation at multiple CpG may affect EOC risk through regulation of gene expression.
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| 28. |
- Ali, Zaheer, et al.
(författare)
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Abstract 6124 : Translation of zebrafish tumor-derived xenograft-models for improved diagnosis and treatment planning in urinary bladder cancer patients
- 2020
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Ingår i: Cancer Research. - : American Association for Cancer Research. - 0008-5472 .- 1538-7445. ; 80:6 Supplement, s. 6124-6124
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Tidskriftsartikel (refereegranskat)abstract
- Precision medicine in oncology aims to identify the most effective treatment for any given patient based on individualized analyses of patient material. Currently, precision medicine relies on sequencing of DNA or RNA to identify patient tumor-specific mutational profiles that may be coupled to drug response. These techniques, however, fail to reveal actionable mutations in approximately 85% of the cancer patients, and have not been established at all for many commonly used drugs including cisplatin-based treatments used in urinary bladder cancer. While mouse-PDX models can determine drug response rates with high accuracy in most patients and for most drugs, such techniques are too slow and expensive to be relevant for first line treatment planning. Urinary bladder cancer patients are often treated with cisplatin-containing combination therapy, with the hope of down-staging tumors before surgery. 60%, however, do not respond or even progress on this treatment, and these patients would benefit from immediate surgery upon diagnosis. To help identify non-responding patients, we show here that patient-derived tumor xenograft models can be established in zebrafish larvae (ZTX models) and that the resulting tumors exhibit differential responses to the two main cisplatin-containing treatments GC and MVAC.Preliminary results from the first 19 patients are presented. Two tumor biopsies were destroyed during transport and two did not allow isolation of sufficient viable cells for implantation. From the remaining 15 samples an average of 2,6 million cells with average viability of 53% were isolated and used to implant at least 60 2-days old larvae. All 15 samples implanted in the larvae and survived and/or grew exhibiting varying degrees of metastatic dissemination (average between 2 and 13 metastasized cells per embryo and model) within only three days from implantation. Four ZTX models exhibited different responses to GC and MVAC demonstrating that these treatments are not equally effective in all patients. Non-response in ZTX models was associated with tumors having re-appeared in the bladder upon radical cystectomy in all patients undergoing surgery prior to Dec. 5th 2019 (n=3). GC inhibited metastasis in all models (average 69% inhibition), whereas MVAC inhibited metastasis in 40% of the models (average 36% inhibition).In conclusion: The ZTX urinary bladder cancer platform presented here overcome limitations associated with long assay time and high cost of other functional models within precision medicine as well as the low hit-rate of actionable mutations associated with genomic techniques. ZTX models will therefore likely become a powerful method for functional precision medicine within oncology, in the near future.
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| 29. |
- Arroyo, Vidal M., et al.
(författare)
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Soft tissue sarcoma clinical presentation, treatment, and survival in adolescents and young adults compared to older adults : A report from the Scandinavian Sarcoma Group
- 2018
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Ingår i: Cancer Research. - : American Association for Cancer Research. - 0008-5472 .- 1538-7445. ; 78:13
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Five-year survival rates for those diagnosed with soft tissue sarcoma (STS) have improved significantly among children and older adults (OAs), but these same trends have not been observed for adolescents and young adults (AYAs). While these disparities could be due to differences in biology or treatment, few studies have evaluated STS occurrence and outcome in AYAs. Therefore, the purpose of this study was to evaluate differences between adolescents and young adults (AYAs) and older adults (OAs) diagnosed with STS by stratifying analysis by: (1) clinical presentation; (2) treatment; and (3) survival.Methods: Data were obtained from the Scandinavian Sarcoma Group (SSG) Central Register, which includes information on 5,747 patients from Sweden and Norway, diagnosed with a STS during 1986-2011. Variables included: age at diagnosis, metastasis at diagnosis, tumor size, histology, adjuvant treatment, date of death or last follow-up. AYAs were defined as those diagnosed ages 15-39 years. Categorical variables were analyzed using chi-square tests, and continuous variables were analyzed using t-tests. Overall survival (OS) and recurrence-free survival (RFS) were compared between AYAs and OAs using Kaplan-Meier estimates and log-rank tests. All analyses were conducted overall and by common STS subtypes.Results: Overall and by STS subtype, there were significant differences between AYAs and OAs on presentation, treatment, and survival. The distribution of STS subtypes was different between OAs and AYAs. For example, OAs were more likely to be diagnosed with leiomyosarcoma compared to AYAs (18% vs. 10%, p<0.001), whereas AYAs were more likely to be diagnosed with malignant peripheral nerve sheath tumor (MPNST, 9% vs. 4%, p<0.001). OAs were also more likely to have larger tumors (>5 cm, 67% vs. 52%, p<0.001) and higher malignancy grade (grade IV, 45% vs. 31%, p<0.001). Interestingly, AYAs were more likely to be treated with radiotherapy and chemotherapy compared to OAs (12% vs. 5%, p<0.001). There were also differences within STS subtypes. For example, OAs were more likely to have metastasis compared to AYAs if diagnosed with leiomyosarcoma (18% vs. 10%, p=0.04). In most scenarios AYAs had significantly better OS and RFS compared to OAs, other than for MPNST (OS: p=0.19, RFS: p=0.28).Conclusions: There were several differences between AYAs and OAs on STS presentation, treatment, and outcome. AYAs not only had differences in terms of STS subtypes but also tumor size and malignancy grade within subtypes. Additional work is needed to characterize the biology underlying these differences, which will inform future treatment strategies for both AYAs and OAs with STS.
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