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  • Online Resource  (7)
  • American Society of Clinical Oncology (ASCO)  (7)
  • 1
    In: JCO Precision Oncology, American Society of Clinical Oncology (ASCO), , No. 4 ( 2020-11), p. 995-1005
    Abstract: The tumor microenvironment is complex, comprising heterogeneous cellular populations. As molecular profiles are frequently generated using bulk tissue sections, they represent an admixture of multiple cell types (including immune, stromal, and cancer cells) interacting with each other. Therefore, these molecular profiles are confounded by signals emanating from many cell types. Accurate assessment of residual cancer cell fraction is crucial for parameterization and interpretation of genomic analyses, as well as for accurately interpreting the clinical properties of the tumor. MATERIALS AND METHODS To benchmark cancer cell fraction estimation methods, 10 estimators were applied to a clinical cohort of 333 patients with prostate cancer. These methods include gold-standard multiobserver pathology estimates, as well as estimates inferred from genome, epigenome, and transcriptome data. In addition, two methods based on genomic and transcriptomic profiles were used to quantify tumor purity in 4,497 tumors across 12 cancer types. Bulk mRNA and microRNA profiles were subject to in silico deconvolution to estimate cancer cell–specific mRNA and microRNA profiles. RESULTS We present a systematic comparison of 10 tumor purity estimation methods on a cohort of 333 prostate tumors. We quantify variation among purity estimation methods and demonstrate how this influences interpretation of clinico-genomic analyses. Our data show poor concordance between pathologic and molecular purity estimates, necessitating caution when interpreting molecular results. Limited concordance between DNA- and mRNA-derived purity estimates remained a general pan-cancer phenomenon when tested in an additional 4,497 tumors spanning 12 cancer types. CONCLUSION The choice of tumor purity estimation method may have a profound impact on the interpretation of genomic assays. Taken together, these data highlight the need for improved assessment of tumor purity and quantitation of its influences on the molecular hallmarks of cancers.
    Type of Medium: Online Resource
    ISSN: 2473-4284
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
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  • 2
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. 4500-4500
    Abstract: 4500 Background: We reported the integrated molecular analysis of 131 tumors in 2014 (Nature 507:315, 2014) and now report on the entire cohort of 412 tumors from the TCGA project in chemotherapy-naïve, muscle-invasive urothelial bladder cancer. Methods: Following strict clinical and pathologic quality control, tumors were analyzed for DNA copy number variants, somatic mutations (WES), DNA methylation, mRNA, non-coding RNA (lncRNA and miRNA) and (phospho-) protein expression, gene fusions, viral integration, pathway perturbation, clinical correlates, outcomes, and histopathology. Results: There was a high overall somatic mutation rate (8.2/Mb), as previously reported. There were 58 significantly mutated genes (SMGs) (MutSig_2CV), increased from 32 in the original report. We identified 5 mutation signatures including APOBEC-a and b, ERCC2, C 〉 T_CpG, and a single ultra-mutated sample with a functional POLE mutation. APOBEC mutagenesis explained 70% of the mutation burden and was associated with survival (p = 0.0013). High mutation burden and neoantigen load were also associated with improved outcome (p = 0.00014 and 0.00078). The previously identified four mRNA subtypes were predicted on the larger set and also identified a novel poor-survival ‘neuronal’ subtype that nevertheless lacked small cell or neuroendocrine histology. Clustering converged for mRNA, lncRNA and miRNA expression, and for inferred activity of gene sets associated with regulator expression. We identified subsets with differential epithelial-mesenchymal transition scores, carcinoma-in-situ scores, and survival, with implications for distinct therapeutic potential. Conclusions: This integrated analysis of 412 TCGA patient samples validates and extends observations from the first 131 patients and significantly increases our power to detect additional low-frequency aberrations. The results provide unique insights into mechanisms of bladder cancer development, and identify novel subsets of MIBC that may benefit from differential treatment approaches.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
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  • 3
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 32, No. 15_suppl ( 2014-05-20), p. 4509-4509
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2014
    detail.hit.zdb_id: 2005181-5
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  • 4
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2005
    In:  Journal of Clinical Oncology Vol. 23, No. 13 ( 2005-05-01), p. 2879-2881
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 23, No. 13 ( 2005-05-01), p. 2879-2881
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2005
    detail.hit.zdb_id: 2005181-5
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  • 5
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 34, No. 2_suppl ( 2016-01-10), p. 405-405
    Abstract: 405 Background: We reported the integrated molecular analysis of 131 tumors in 2014 (Nature 507:315, 2014) and now report on the entire cohort of 412 tumors from the TCGA project in chemotherapy-naïve muscle invasive urothelial bladder cancer. Methods: Following strict clinical and pathologic quality control, tumors were analyzed for DNA copy number variants, somatic mutations (WES), DNA methylation, mRNA, microRNA and (phospho-) protein expression, transcript splicing, gene fusions, viral integration, pathway perturbation, clinical correlates, and histopathology Results: There was a high overall somatic mutation rate (8.0/Mb), as previously reported, with a median of 245 and mean of 348 coding region mutations per sample. There were 54 significantly mutated genes (SMGs) (MutSig_2CV), increased from 32 in the original report. TP53 remained the most commonly mutated gene, and chromatin-modifying genes (MLL2, ARID1A, KDM6A) were also frequently mutated. KRAS, ERBB2, RB1, and ELF3 showed significant increased frequencies of mutation. High mutation burden was associated with improved outcome (p = 0.0004). APOBEC mutagenesis explained 70% of the mutation burden and also was associated with survival. 167 genes were silenced by promoter DNA hypermethylation in at least 5% of tumors. Several SMGs were also epigenetically silenced at various frequencies (ZNF773, CDKN2A, FAT1, CASP8). The previously identified four mRNA subtypes were predicted on the larger set identifying a similar proportion of samples in each subtype. We identified 5 expression subtypes based on reverse-phase protein arrays(344 tumors). Five miR expression subtypes were strongly associated with 4 mRNA-based subtypes (P = 3.8E-37) and associated with overall survival (P = 0.05). Conclusions: This integrated analysis of 412 TCGA patient samples validates and extends observations from the first 131 patients and significantly increases our power to detect additional low-frequency aberrations. The results provide a robust basis for functional studies to further our understanding of the biology of bladder cancer, and aid in the development of more precisely targeted therapies.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2016
    detail.hit.zdb_id: 2005181-5
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  • 6
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 32, No. 3_suppl ( 2014-01-20), p. 451-451
    Abstract: 451 Background: Classifications for molecular subtypes of colorectal cancer based on microsatellite instability (MSI), the CpG island methylator phenotype (CIMP), and somatic mutations in BRAF V600E and KRAS have been proposed to reflect distinct pathways of colorectal tumorigenesis. We assessed the relationship between these subtype classifications and colorectal cancer survival in a population-based study. Methods: Tumor-markers were evaluated in incident colorectal cancer cases diagnosed between 1997-2007 in western Washington State. Cases were classified into pathway-based subtypes according to the following tumor-marker combinations: (1) traditional pathway [microsatellite stable / low MSI (MSS/MSI-L), non-CIMP, BRAF-wildtype, KRAS-wildtype, n = 631]; (2) MSI-high serrated (MSI-high, CIMP-positive, BRAF-mutated, KRAS-wildtype, N=100); (3) MSS/MSI- L serrated (MSS/MSI-L, CIMP-positive, BRAF-mutated, KRAS-wildtype, n = 55); (4) alternate pathway (MSS/MSI-L, non-CIMP, BRAF-wildtype, KRAS-mutated, n = 353); and (5) MSI-high familial (MSI-high, non-CIMP, BRAF-wildtype, KRAS-wildtype, n = 50). Multiple-imputation was used to classify tumor-marker status for cases with missing data on one to three markers. Differences in survival across subtypes were assessed through multivariable-adjusted Cox regression. Results: Relative to cases of the predominant traditional pathway subtype, cases with MSS/MSI-L serrated and alternate pathway tumor subtypes experienced statistically significantly worse disease-specific survival [hazard ratio (HR) = 2.25, 95% confidence interval (CI): 1.50-3.36 and HR = 1.39, 95% CI: 1.12-1.71, respectively]; cases with MSI-high familial tumors had the most favorable disease-specific prognosis (HR = 0.28, 95% CI: 0.12-0.64). With respect to overall survival, associations were similar but slightly attenuated. Conclusions: In this large, population-based study, colorectal cancer subtype classifications based on integrated pathways were associated with marked differences in survival, highlighting the significance of molecular heterogeneity in colorectal cancer.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2014
    detail.hit.zdb_id: 2005181-5
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  • 7
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 1 ( 2021-01-01), p. 66-78
    Abstract: As cancer surgery restarts after the first COVID-19 wave, health care providers urgently require data to determine where elective surgery is best performed. This study aimed to determine whether COVID-19–free surgical pathways were associated with lower postoperative pulmonary complication rates compared with hospitals with no defined pathway. PATIENTS AND METHODS This international, multicenter cohort study included patients who underwent elective surgery for 10 solid cancer types without preoperative suspicion of SARS-CoV-2. Participating hospitals included patients from local emergence of SARS-CoV-2 until April 19, 2020. At the time of surgery, hospitals were defined as having a COVID-19–free surgical pathway (complete segregation of the operating theater, critical care, and inpatient ward areas) or no defined pathway (incomplete or no segregation, areas shared with patients with COVID-19). The primary outcome was 30-day postoperative pulmonary complications (pneumonia, acute respiratory distress syndrome, unexpected ventilation). RESULTS Of 9,171 patients from 447 hospitals in 55 countries, 2,481 were operated on in COVID-19–free surgical pathways. Patients who underwent surgery within COVID-19–free surgical pathways were younger with fewer comorbidities than those in hospitals with no defined pathway but with similar proportions of major surgery. After adjustment, pulmonary complication rates were lower with COVID-19–free surgical pathways (2.2% v 4.9%; adjusted odds ratio [aOR], 0.62; 95% CI, 0.44 to 0.86). This was consistent in sensitivity analyses for low-risk patients (American Society of Anesthesiologists grade 1/2), propensity score–matched models, and patients with negative SARS-CoV-2 preoperative tests. The postoperative SARS-CoV-2 infection rate was also lower in COVID-19–free surgical pathways (2.1% v 3.6%; aOR, 0.53; 95% CI, 0.36 to 0.76). CONCLUSION Within available resources, dedicated COVID-19–free surgical pathways should be established to provide safe elective cancer surgery during current and before future SARS-CoV-2 outbreaks.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
    detail.hit.zdb_id: 2005181-5
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