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- Lindgren, David, et al.
(författare)
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Combined Gene Expression and Genomic Profiling Define Two Intrinsic Molecular Subtypes of Urothelial Carcinoma and Gene Signatures for Molecular Grading and Outcome
- 2010
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Ingår i: Cancer Research. - 0008-5472 .- 1538-7445. ; 70:9, s. 3463-3472
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Tidskriftsartikel (refereegranskat)abstract
- In the present investigation, we sought to refine the classification of urothelial carcinoma by combining information on gene expression, genomic, and gene mutation levels. For these purposes, we performed gene expression analysis of 144 carcinomas, and whole genome array-CGH analysis and mutation analyses of FGFR3, PIK3CA, KRAS, HRAS, NRAS, TP53, CDKN2A, and TSC1 in 103 of these cases. Hierarchical cluster analysis identified two intrinsic molecular subtypes, MS1 and MS2, which were validated and defined by the same set of genes in three independent bladder cancer data sets. The two subtypes differed with respect to gene expression and mutation profiles, as well as with the level of genomic instability. The data show that genomic instability was the most distinguishing genomic feature of MS2 tumors, and that this trait was not dependent on TP53/MDM2 alterations. By combining molecular and pathologic data, it was possible to distinguish two molecular subtypes of T(a) and T(1) tumors, respectively. In addition, we define gene signatures validated in two independent data sets that classify urothelial carcinoma into low-grade (G(1)/G(2)) and high-grade (G(3)) tumors as well as non-muscle and muscle-invasive tumors with high precisions and sensitivities, suggesting molecular grading as a relevant complement to standard pathologic grading. We also present a gene expression signature with independent prognostic effect on metastasis and disease-specific survival. We conclude that the combination of molecular and histopathologic classification systems might provide a strong improvement for bladder cancer classification and produce new insights into the development of this tumor type.
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| 7. |
- Garousi, Javad, et al.
(författare)
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ADAPT, a Novel Scaffold Protein-Based Probe for Radionuclide Imaging of Molecular Targets That Are Expressed in Disseminated Cancers
- 2015
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Ingår i: Cancer Research. - : American Association for Cancer Research Inc.. - 0008-5472 .- 1538-7445. ; 75:20, s. 4364-4371
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Tidskriftsartikel (refereegranskat)abstract
- Small engineered scaffold proteins have attracted attention as probes for radionuclide-based molecular imaging. One class of these imaging probes, termed ABD-Derived Affinity Proteins (ADAPT), has been created using the albumin-binding domain (ABD) of streptococcal protein G as a stable protein scaffold. In this study, we report the development of a clinical lead probe termed ADAPT6 that binds HER2, an oncoprotein overexpressed in many breast cancers that serves as a theranostic biomarker for several approved targeting therapies. Surface-exposed amino acids of ABD were randomized to create a combinatorial library enabling selection of high-affinity binders to various proteins. Furthermore, ABD was engineered to enable rapid purification, to eradicate its binding to albumin, and to enable rapid blood clearance. Incorporation of a unique cysteine allowed site-specific conjugation to a maleimido derivative of a DOTA chelator, enabling radionuclide labeling, In-111 for SPECT imaging and Ga-68 for PET imaging. Pharmacologic studies in mice demonstrated that the fully engineered molecule In-111/Ga-68-DOTA(HE) 3-ADAPT6 was specifically bound and taken up by HER2-expressing tumors, with a high tumor-to-normal tissue ratio in xenograft models of human cancer. Unbound tracer underwent rapid renal clearance followed by high renal reabsorption. HER2-expressing xenografts were visualized by gamma-camera or PET at 1 hour after infusion. PET experiments demonstrated feasibility for discrimination of xenografts with high or low HER2 expression. Our results offer a preclinical proof of concept for the use of ADAPT probes for noninvasive in vivo imaging.
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| 8. |
- Gustafsson, Robert, et al.
(författare)
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Crystal Structure of the Emerging Cancer Target MTHFD2 in Complex with a Substrate-Based Inhibitor
- 2017
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Ingår i: Cancer Research. - : AMER ASSOC CANCER RESEARCH. - 0008-5472 .- 1538-7445. ; 77:4, s. 937-948
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Tidskriftsartikel (refereegranskat)abstract
- To sustain their proliferation, cancer cells become dependent on one-carbon metabolism to support purine and thymidylate synthesis. Indeed, one of the most highly upregulated enzymes during neoplastic transformation is MTHFD2, a mitochondrial methylenetetrahydrofolate dehydrogenase and cyclohydrolase involved in one-carbon metabolism. Because MTHFD2 is expressed normally only during embryonic development, it offers a disease-selective therapeutic target for eradicating cancer cells while sparing healthy cells. Here we report the synthesis and preclinical characterization of the first inhibitor of human MTHFD2. We also disclose the first crystal structure of MTHFD2 in complex with a substrate-based inhibitor and the enzyme cofactors NAD(+) and inorganic phosphate. Our work provides a rationale for continued development of a structural framework for the generation of potent and selective MTHFD2 inhibitors for cancer treatment.
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| 9. |
- Hartman, Johan, et al.
(författare)
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Tumor repressive functions of estrogen receptor beta in SW480 colon cancer cells
- 2009
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Ingår i: Cancer Research. - 0008-5472 .- 1538-7445. ; 69:15, s. 6100-6
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Tidskriftsartikel (refereegranskat)abstract
- Estrogen receptor beta (ERbeta) is the predominant ER in the colorectal epithelium. Compared with normal colon tissue, ERbeta expression is reduced in colorectal cancer. Our hypothesis is that ERbeta inhibits proliferation of colon cancer cells. Hence, the aim of this study has been to investigate the molecular function of ERbeta in colon cancer cells, focusing on cell cycle regulation. SW480 colon cancer cells have been lentivirus transduced with ERbeta expression construct with or without mutated DNA-binding domain or an empty control vector. Expression of ERbeta resulted in inhibition of proliferation and G(1) phase cell cycle arrest and this effect was dependent on a functional DNA-binding region. c-Myc is overexpressed in an overwhelming majority of colorectal tumors. By Western blot and real-time PCR, we found c-Myc to be down-regulated in the ERbeta-expressing cells. Furthermore, the c-Myc target gene p21((Waf1/Cip1)) was induced and Cdc25A was reduced by ERbeta at the transcriptional level. The second cdk2-inhibitor, p27(Kip1), was induced by ERbeta, but this regulation occurred at the posttranscriptional level, probably through ERbeta-mediated repression of the F-box protein p45(Skp2). Expression of the ERbeta-variant with mutated DNA binding domain resulted in completely different cell cycle gene regulation. We performed in vivo studies with SW480 cells +/- ERbeta transplanted into severe combined immunodeficient/beige mice; after three weeks of ERbeta-expression, a 70% reduction of tumor volume was seen. Our results show that ERbeta inhibits proliferation as well as colon cancer xenograft growth, probably as a consequence of ERbeta-mediated inhibition of cell-cycle pathways. Furthermore, this ERbeta-mediated cell cycle repression is dependent on functional ERE binding.
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| 10. |
- Karlsson, Max J., et al.
(författare)
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Inflammation and Apolipoproteins Are Potential Biomarkers for Stratification of Cutaneous Melanoma Patients for Immunotherapy and Targeted Therapy
- 2021
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Ingår i: Cancer Research. - : American Association for Cancer Research (AACR). - 0008-5472 .- 1538-7445. ; 81:9, s. 2545-2555
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Tidskriftsartikel (refereegranskat)abstract
- Malignant cutaneous melanoma is one of the most common cancers in young adults. During the last decade, targeted and immunotherapies have significantly increased the overall survival of patients with malignant cutaneous melanoma. Nevertheless, disease progression is common, and a lack of predictive biomarkers of patient response to therapy hinders individualized treatment strategies. To address this issue, we performed a longitudinal study using an unbiased proteomics approach to identify and quantify proteins in plasma both before and during treatment from 109 patients treated with either targeted or immunotherapy. Linear modeling and machine learning approaches identified 43 potential prognostic and predictive biomarkers. A reverse correlation between apolipoproteins and proteins related to inflammation was observed. In the immunotherapy group, patients with low pretreatment expression of apolipoproteins and high expression of inflammation markers had shorter progression-free survival. Similarly, increased expression of LDHB during treatment elicited a significant impact on response to immunotherapy. Overall, we identified potential common and treatment-specific biomarkers in malignant cutaneous melanoma, paving the way for clinical use of these biomarkers following validation on a larger cohort. Significance: This study identifies a potential biomarker panel that could improve the selection of therapy for patients with cutaneous melanoma.
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