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      Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts

      research-article
      1 , 2 , 3 , 3 , 2 , 3 , 3 , 3 , 3 , 3 , 4 , 1 , 1 , 5 , 2 , 1 , 1 , 2 , 2 , 2 , 1 , 2 , 2 , 2 , 6 , 7 , 8 , 4 , 3 , 3 , 9 , 9 , 10 , 2 , 11 , 2 , 5 , 9 , , 3 ,
      Nature Communications
      Nature Publishing Group UK
      Cancer, Cancer, Oncology, Oncology

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          Abstract

          Treatment paradigms for patients with upper tract urothelial carcinoma (UTUC) are typically extrapolated from studies of bladder cancer despite their distinct clinical and molecular characteristics. The advancement of UTUC research is hampered by the lack of disease-specific models. Here, we report the establishment of patient derived xenograft (PDX) and cell line models that reflect the genomic and biological heterogeneity of the human disease. Models demonstrate high genomic concordance with the corresponding patient tumors, with invasive tumors more likely to successfully engraft. Treatment of PDX models with chemotherapy recapitulates responses observed in patients. Analysis of a HER2 S310F-mutant PDX suggests that an antibody drug conjugate targeting HER2 would have superior efficacy versus selective HER2 kinase inhibitors. In sum, the biological and phenotypic concordance between patient and PDXs suggest that these models could facilitate studies of intrinsic and acquired resistance and the development of personalized medicine strategies for UTUC patients.

          Abstract

          The advancement of upper tract urothelial carcinoma (UTUC) research is hampered by the lack of disease-specific models. Here, the authors report patient derived xenograft and cell line models of UTUC, and show that these models retain the genomic and biological heterogeneity of human disease.

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          Most cited references21

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          Tumor microsatellite-instability status as a predictor of benefit from fluorouracil-based adjuvant chemotherapy for colon cancer.

          Colon cancers with high-frequency microsatellite instability have clinical and pathological features that distinguish them from microsatellite-stable tumors. We investigated the usefulness of microsatellite-instability status as a predictor of the benefit of adjuvant chemotherapy with fluorouracil in stage II and stage III colon cancer. Tumor specimens were collected from patients with colon cancer who were enrolled in randomized trials of fluorouracil-based adjuvant chemotherapy. Microsatellite instability was assessed with the use of mononucleotide and dinucleotide markers. Of 570 tissue specimens, 95 (16.7 percent) exhibited high-frequency microsatellite instability. Among 287 patients who did not receive adjuvant therapy, those with tumors displaying high-frequency microsatellite instability had a better five-year rate of overall survival than patients with tumors exhibiting microsatellite stability or low-frequency instability (hazard ratio for death, 0.31 [95 percent confidence interval, 0.14 to 0.72]; P=0.004). Among patients who received adjuvant chemotherapy, high-frequency microsatellite instability was not correlated with increased overall survival (hazard ratio for death, 1.07 [95 percent confidence interval, 0.62 to 1.86]; P=0.80). The benefit of treatment differed significantly according to the microsatellite-instability status (P=0.01). Adjuvant chemotherapy improved overall survival among patients with microsatellite-stable tumors or tumors exhibiting low-frequency microsatellite instability, according to a multivariate analysis adjusted for stage and grade (hazard ratio for death, 0.72 [95 percent confidence interval, 0.53 to 0.99]; P=0.04). By contrast, there was no benefit of adjuvant chemotherapy in the group with high-frequency microsatellite instability. Fluorouracil-based adjuvant chemotherapy benefited patients with stage II or stage III colon cancer with microsatellite-stable tumors or tumors exhibiting low-frequency microsatellite instability but not those with tumors exhibiting high-frequency microsatellite instability. Copyright 2003 Massachusetts Medical Society
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            Defective mismatch repair as a predictive marker for lack of efficacy of fluorouracil-based adjuvant therapy in colon cancer.

            Prior reports have indicated that patients with colon cancer who demonstrate high-level microsatellite instability (MSI-H) or defective DNA mismatch repair (dMMR) have improved survival and receive no benefit from fluorouracil (FU) -based adjuvant therapy compared with patients who have microsatellite-stable or proficient mismatch repair (pMMR) tumors. We examined MMR status as a predictor of adjuvant therapy benefit in patients with stages II and III colon cancer. MSI assay or immunohistochemistry for MMR proteins were performed on 457 patients who were previously randomly assigned to FU-based therapy (either FU + levamisole or FU + leucovorin; n = 229) versus no postsurgical treatment (n = 228). Data were subsequently pooled with data from a previous analysis. The primary end point was disease-free survival (DFS). Overall, 70 (15%) of 457 patients exhibited dMMR. Adjuvant therapy significantly improved DFS (hazard ratio [HR], 0.67; 95% CI, 0.48 to 0.93; P = .02) in patients with pMMR tumors. Patients with dMMR tumors receiving FU had no improvement in DFS (HR, 1.10; 95% CI, 0.42 to 2.91; P = .85) compared with those randomly assigned to surgery alone. In the pooled data set of 1,027 patients (n = 165 with dMMR), these findings were maintained; in patients with stage II disease and with dMMR tumors, treatment was associated with reduced overall survival (HR, 2.95; 95% CI, 1.02 to 8.54; P = .04). Patient stratification by MMR status may provide a more tailored approach to colon cancer adjuvant therapy. These data support MMR status assessment for patients being considered for FU therapy alone and consideration of MMR status in treatment decision making.
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              Intrinsic subtypes of high-grade bladder cancer reflect the hallmarks of breast cancer biology.

              We sought to define whether there are intrinsic molecular subtypes of high-grade bladder cancer. Consensus clustering performed on gene expression data from a meta-dataset of high-grade, muscle-invasive bladder tumors identified two intrinsic, molecular subsets of high-grade bladder cancer, termed "luminal" and "basal-like," which have characteristics of different stages of urothelial differentiation, reflect the luminal and basal-like molecular subtypes of breast cancer, and have clinically meaningful differences in outcome. A gene set predictor, bladder cancer analysis of subtypes by gene expression (BASE47) was defined by prediction analysis of microarrays (PAM) and accurately classifies the subtypes. Our data demonstrate that there are at least two molecularly and clinically distinct subtypes of high-grade bladder cancer and validate the BASE47 as a subtype predictor. Future studies exploring the predictive value of the BASE47 subtypes for standard of care bladder cancer therapies, as well as novel subtype-specific therapies, will be of interest.
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                Author and article information

                Contributors
                solitd@mskcc.org
                colemanj@mskcc.org
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                24 April 2020
                24 April 2020
                2020
                : 11
                : 1975
                Affiliations
                [1 ]ISNI 0000 0001 2171 9952, GRID grid.51462.34, Department of Surgery, , Memorial Sloan Kettering Cancer Center, ; New York, NY 10065 USA
                [2 ]ISNI 0000 0001 2171 9952, GRID grid.51462.34, Human Oncology and Pathogenesis Program, , Memorial Sloan Kettering Cancer Center, ; New York, NY 10065 USA
                [3 ]ISNI 0000 0001 2171 9952, GRID grid.51462.34, Urology Service, Department of Surgery, , Memorial Sloan Kettering Cancer Center, ; New York, NY 10065 USA
                [4 ]ISNI 0000 0004 0604 7563, GRID grid.13992.30, Department of Biological Regulation, , Weizmann Institute of Science, ; Rehovot, 7610001 Israel
                [5 ]ISNI 0000 0001 2171 9952, GRID grid.51462.34, Marie-Josée and Henry R. Kravis Center for Molecular Oncology, , Memorial Sloan Kettering Cancer Center, ; New York, NY 10065 USA
                [6 ]ISNI 0000000419368710, GRID grid.47100.32, Gynecology & Reproductive Sciences, Department of Obstetrics, , Yale University School of Medicine, ; New Haven, CT 06510 USA
                [7 ]ISNI 0000 0001 2171 9952, GRID grid.51462.34, Department of Epidemiology-Biostatistics, , Memorial Sloan Kettering Cancer Center, ; New York, NY 10017 USA
                [8 ]ISNI 0000 0001 2355 7002, GRID grid.4367.6, Molecular Oncology, Department of Medicine, Siteman Cancer Center, , Washington University, ; St. Louis, MO 63110 USA
                [9 ]ISNI 0000 0001 2171 9952, GRID grid.51462.34, Genitourinary Oncology Service, Department of Medicine, , Memorial Sloan Kettering Cancer Center, ; New York, NY 10065 USA
                [10 ]ISNI 0000 0001 2171 9952, GRID grid.51462.34, Body Imaging Service, Department of Radiology, , Memorial Sloan Kettering Cancer Center, ; New York, NY 10065 USA
                [11 ]ISNI 0000 0001 2171 9952, GRID grid.51462.34, Department of Pathology, , Memorial Sloan Kettering Cancer Center, ; New York, NY 10065 USA
                Author information
                http://orcid.org/0000-0003-0544-6792
                http://orcid.org/0000-0002-8686-7160
                http://orcid.org/0000-0001-5722-2075
                http://orcid.org/0000-0002-2633-9438
                http://orcid.org/0000-0002-0616-6840
                http://orcid.org/0000-0003-2429-2370
                http://orcid.org/0000-0002-3856-0500
                http://orcid.org/0000-0003-3595-0551
                http://orcid.org/0000-0002-0930-8824
                http://orcid.org/0000-0002-5093-6099
                http://orcid.org/0000-0002-5522-1447
                http://orcid.org/0000-0002-2938-6627
                http://orcid.org/0000-0002-6614-802X
                Article
                15885
                10.1038/s41467-020-15885-7
                7181640
                32332851
                b2c1a885-dbf2-4460-8534-4c5a2e95843b
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 11 September 2019
                : 24 March 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000054, U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI);
                Award ID: P50 CA221745
                Award ID: R01 CA234361
                Award ID: P01 CA221757-01A1
                Award ID: P30 CA008748
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)
                Funded by: U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)
                Funded by: U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                cancer,oncology
                Uncategorized
                cancer, oncology

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