scholarly journals Intratumor Heterogeneity in Uveal Melanoma BAP-1 Expression

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1143
Author(s):  
Gustav Stålhammar ◽  
Hans E. Grossniklaus
Keyword(s):  
Gene Expression ◽  
Uveal Melanoma ◽  
Tumor Size ◽  
Hot Spots ◽  
Malignant Tumors ◽  
Intratumor Heterogeneity ◽  
Prognostic Information ◽  
Size Category ◽  
Cold Spots ◽  
Metastatic Risk

Malignant tumors are rarely homogenous on the morphological, genome, transcriptome or proteome level. In this study, we investigate the intratumor heterogeneity of BAP-1 expression in uveal melanoma with digital image analysis of 40 tumors. The proportion of BAP-1 positive cells was measured in full tumor sections, hot spots, cold spots and in scleral margins. The mean difference between hot spots and cold spots was 41 percentage points (pp, SD 29). Tumors with gene expression class 1 (associated with low metastatic risk) and 2 (high metastatic risk) had similar intratumor heterogeneity. Similarly, the level of intratumor heterogeneity was comparable in tumors from patients that later developed metastases as in patients that did not. BAP-1 measured in any tumor region added significant prognostic information to both American Joint Committee on Cancer (AJCC) tumor size category (p ≤ 0.001) and gene expression class (p ≤ 0.04). We conclude that there is substantial intratumor heterogeneity in uveal melanoma BAP-1 expression. However, it is of limited prognostic importance. Regardless of region, analysis of BAP-1 expression adds significant prognostic information beyond tumor size and gene expression class.

RELATIONSHIP OF CLINICAL FEATURES AND BASELINE TUMOR SIZE WITH GENE EXPRESSION PROFILE STATUS IN UVEAL MELANOMA

Retina ◽  
2019 ◽  
Vol 39 (6) ◽  
pp. 1154-1164 ◽  
Author(s):  
Duncan Berry ◽  
Michael Seider ◽  
Sandra Stinnett ◽  
Prithvi Mruthyunjaya ◽  
Amy C. Schefler
Keyword(s):  
Gene Expression ◽  
Gene Expression Profile ◽  
Clinical Features ◽  
Uveal Melanoma ◽  
Expression Profile ◽  
Tumor Size ◽  
Relationship Of

scholarly journals Prospective evaluation of risk-appropriate management of uveal melanoma patients informed by gene expression profiling

2020 ◽  
Vol 7 (1) ◽  
pp. 17-25 ◽  
Author(s):  
Amy C Schefler ◽  
Alison Skalet ◽  
Scott C N Oliver ◽  
John Mason ◽  
Anthony B Daniels ◽  
...  
Keyword(s):  
Gene Expression ◽  
Uveal Melanoma ◽  
Clinical Utility ◽  
Medical Oncology ◽  
Treatment Plan ◽  
Risk Class ◽  
Class 1 ◽  
Melanoma Patients ◽  
Metastatic Risk

Aim: The Clinical Application of DecisionDx-UM Gene Expression Assay Results study aimed to evaluate the clinical utility of the prognostic 15-gene expression profile (15-GEP) test for uveal melanoma (UM) patients in a large, prospective multicenter cohort. Patients & methods: Nine centers prospectively enrolled 138 UM patients clinically tested with the 15-GEP. Physician-recommended specialty referrals and metastatic surveillance regimens were collected. Results: A total of 93% of high-risk class 2 patients were referred to medical oncology for follow-up, compared with 51% of class 1 patients. A majority (62%) of class 2 patients were recommended overall high-intensity metastatic surveillance, while 85% of class 1 patients were recommended low-intensity metastatic surveillance. Conclusion: Treatment plan recommendations for UM patients are aligned with GEP-informed metastatic risk, consistent with prior studies.

American Joint Committee on Cancer Classification of Posterior Uveal Melanoma (Tumor Size Category) Predicts Prognosis in 7731 Patients

Ophthalmology ◽  
2013 ◽  
Vol 120 (10) ◽  
pp. 2066-2071 ◽  
Author(s):  
Carol L. Shields ◽  
Swathi Kaliki ◽  
Minoru Furuta ◽  
Enzo Fulco ◽  
Carolina Alarcon ◽  
...  
Keyword(s):  
Uveal Melanoma ◽  
Tumor Size ◽  
Cancer Classification ◽  
Melanoma Tumor ◽  
Size Category ◽  
American Joint Committee

scholarly journals Gene Expression Profiling in Uveal Melanoma: Five-Year Prospective Outcomes and Meta-Analysis

2020 ◽  
Vol 6 (5) ◽  
pp. 360-367
Author(s):  
Thomas M. Aaberg ◽  
Kyle R. Covington ◽  
Tony Tsai ◽  
Yevgeniy Shildkrot ◽  
Kristen M. Plasseraud ◽  
...  
Keyword(s):  
Gene Expression ◽  
Clinical Outcomes ◽  
Uveal Melanoma ◽  
Meta Analysis ◽  
Tumor Biology ◽  
Survival Rates ◽  
Increased Risk ◽  
Class 1 ◽  
Risk Patients ◽  
Metastatic Risk

Introduction: The prognostic 15-gene expression profile (15-GEP) test for uveal melanoma (UM) predicts metastatic risk based on primary tumor biology. Here we report outcomes from a prospective registry of 15-GEP-tested patients, and a meta-analysis with published cohorts. Objectives: Management and 5-year clinical outcomes following 15-GEP testing were evaluated. Methods: Eighty-nine patients with 15-GEP results were prospectively enrolled at four centers. Physician-recommended management plans were collected, and clinical outcomes tracked every 6 months. Results: Eighty percent of Class 1 (low-risk) patients underwent low-intensity management; all Class 2 (high-risk) patients underwent high-intensity management (p < 0.0001). Median follow-up for event-free patients was 4.9 years. Five Class 1 (10%) and 23 Class 2 (58%) tumors metastasized (p < 0.0001). Five-year Class 1 and 2 metastasis-free survival rates were 90% (81–100%) and 41% (27–62%; p < 0.0001), and melanoma-specific survival rates were 94% (87–100%) and 63% (49–82%; p = 0.0007). Class 2 was the only independent predictor of metastasis and was associated with increased risk for metastasis and mortality by meta-analysis. Conclusions: UM patient management is guided by 15-GEP testing. Class 2 patients were managed more intensely, in accordance with an observed metastatic rate of >50%; Class 1 patients were safely spared intensive surveillance, resulting in appropriate utilization of healthcare resources.

Uveal melanoma metastatic risk based on comprehensive genetic testing

2020 ◽  
pp. 178-179
Author(s):  
V.A. Yarovaya ◽  
◽  
A.A. Yarovoy ◽  
A.R. Zaretsky ◽  
L.V. Chudakova ◽  
...  
Keyword(s):  
Genetic Testing ◽  
Uveal Melanoma ◽  
Metastatic Risk

scholarly journals Family Practices and Temporality at Breakfast: Hot Spots, Convenience and Care

Sociology ◽  
2021 ◽  
pp. 003803852110155
Author(s):  
Daniela Pirani ◽  
Vicki Harman ◽  
Benedetta Cappellini
Keyword(s):  
Hot Spots ◽  
Hot Spot ◽  
Family Meals ◽  
Personal Integrity ◽  
Structured Interviews ◽  
Time Saving ◽  
Family Time ◽  
Dominant Feature ◽  
Family Practices ◽  
Cold Spots

Drawing on 34 semi-structured interviews, this study investigates the temporality of family practices taking place in the hot spot. It does so by looking at how breakfast is inserted in the economy of family time in Italy. Our data show that breakfast, contrary to other meals, allows the adoption of more individualised and asynchronous practices, hinged on the consumption of convenience products. These time-saving strategies are normalised as part of doing family. Although the existing literature suggests that convenience and care are in opposition, and consumers of convenience products can experience anxiety and a lack of personal integrity, such features were not a dominant feature of our participants’ accounts. These findings suggest that the dichotomies of hot/cold spots and care/convenience are not always experienced in opposition when embedded within family practices. Hence, this study furthers understandings of family meals, temporality and the distinction between hot and cold spots.

scholarly journals The Effect of Heterogenous Subregions in Glioblastomas on Survival Stratification: A Radiomics Analysis Using the Multimodality MRI

2021 ◽  
Vol 20 ◽  
pp. 153303382110330
Author(s):  
Lulu Yin ◽  
Yan Liu ◽  
Xi Zhang ◽  
Hongbing Lu ◽  
Yang Liu
Keyword(s):  
Poor Prognosis ◽  
Intratumor Heterogeneity ◽  
Short Term ◽  
Prognostic Information ◽  
Manual Delineation ◽  
Flair Sequence ◽  
The Poor ◽  
Contrast Enhanced ◽  
Mri Sequences

Intratumor heterogeneity is partly responsible for the poor prognosis of glioblastoma (GBM) patients. In this study, we aimed to assess the effect of different heterogeneous subregions of GBM on overall survival (OS) stratification. A total of 105 GBM patients were retrospectively enrolled and divided into long-term and short-term OS groups. Four MRI sequences, including contrast-enhanced T1-weighted imaging (T1C), T1, T2, and FLAIR, were collected for each patient. Then, 4 heterogeneous subregions, i.e. the region of entire abnormality (rEA), the regions of contrast-enhanced tumor (rCET), necrosis (rNec) and edema/non-contrast-enhanced tumor (rE/nCET), were manually drawn from the 4 MRI sequences. For each subregion, 50 radiomics features were extracted. The stratification performance of 4 heterogeneous subregions, as well as the performances of 4 MRI sequences, was evaluated both alone and in combination. Our results showed that rEA was superior in stratifying long-and short-term OS. For the 4 MRI sequences used in this study, the FLAIR sequence demonstrated the best performance of survival stratification based on the manual delineation of heterogeneous subregions. Our results suggest that heterogeneous subregions of GBMs contain different prognostic information, which should be considered when investigating survival stratification in patients with GBM.

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