Dataset Information

The University of California, San Francisco Documentation System for Retinoblastoma: Preparing to Improve Staging Methods for This Disease.

ABSTRACT: Background/Aims:Current retinoblastoma staging systems do not adequately describe the disease, especially in eyes with multiple tumors. The aims of this study were to develop methods for documenting individual tumors and to score disease burden over time. Methods:A coding system was devised to describe each tumor according to affected eye, meridian, anteroposterior location, activity, growth pattern, type of seed, and treatment. A scoring system for quantifying disease burden was developed, taking account of tumor number, size, spread, and secondary effects on the eye. Results:Our coding system allowed contemporaneous tumor documentation, producing datasets that enabled generation of fundus diagrams, Kaplan-Meier curves, and tables summarizing disease progression in individual tumors and eyes. Our data showed disparities between ocular and tumor documentation, e.g., indicating earlier tumor development in the left eye but younger age at presentation if disease was worse in the right eye. Actuarial rates of local treatment failure were lower when individual tumors were analyzed than when data were reported in terms of whole eyes. Conclusion:Our methods for documenting individual retinoblastomas have facilitated the review of patients' progress in our routine practice and may provide data that could be used to refine retinoblastoma classifications in the future.

SUBMITTER: Damato B

PROVIDER: S-EPMC6341334 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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The University of California, San Francisco Documentation System for Retinoblastoma: Preparing to Improve Staging Methods for This Disease.

Damato Bertil B Afshar Armin R AR Everett Lesley L Banerjee Anuradha A Hetts Steven W SW

Ocular oncology and pathology 20180614 1

<h4>Background/aims</h4>Current retinoblastoma staging systems do not adequately describe the disease, especially in eyes with multiple tumors. The aims of this study were to develop methods for documenting individual tumors and to score disease burden over time.<h4>Methods</h4>A coding system was devised to describe each tumor according to affected eye, meridian, anteroposterior location, activity, growth pattern, type of seed, and treatment. A scoring system for quantifying disease burden was ...[more]

PMID: 30675475

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Project description:The HIV-1 epidemic in the US has historically been dominated by subtype B. HIV subtype diversity has not been extensively examined in most US cities to determine whether non-B variants have become established, as has been observed in many other global regions. We describe the diversity of non-B variants and present evidence of local transmission of non-B HIV in San Francisco. Viral sequences collected from patients between 2000 and 2016 were matched to the San Francisco HIV/AIDS case registry. HIV subtype was determined using COMET. Phylogenies were reconstructed using the pol region of subtypes A, C, D, G, CRF01_AE, CRF02_AG, and CRF07_BC, with reference sequences from the LANL HIV database. Associations of non-B subtypes and circulating recombinant forms (CRFs) with patient characteristics were assessed using multivariable logistic regression. Out of 11,381 sequences, 10,669 were from 7235 registry cases, of which 141 (2%) had non-B subtypes and CRFs and 72 (1%) had unique recombinant forms. CRF01_AE (0.8%) and subtype C (0.5%) were the most prevalent non-B forms. The frequency of non-B subtypes and CRFs increased in San Francisco during years 2000-2016. Out of 146 transmission events involving non-B study sequences, 18% indicated local transmission within the study population and 74% appeared to be inward migration of the virus. Compared to 7016 cases with only subtype B, 141 cases with non-B sequences were more likely to be of non-US country of birth (aOR = 11.02; p < 0.001), of Asian/Pacific-Islander race/ethnicity (aOR = 3.17; p < 0.001), and diagnosed after 2009 (aOR = 4.81; p < 0.001). Results suggest that most non-B infections were likely acquired outside the US and that local transmission of non-B forms has occurred but so far has not produced extensive transmission networks. Thus, non-B variants were not widely established in San Francisco, an observation that differs from cities worldwide with more diverse epidemics.

Dataset Information

The University of California, San Francisco Documentation System for Retinoblastoma: Preparing to Improve Staging Methods for This Disease.

Publications

The University of California, San Francisco Documentation System for Retinoblastoma: Preparing to Improve Staging Methods for This Disease.

Similar Datasets

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