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Biology subjects

Lin, D. I.

Publications and source records attributed to Lin, D. I..

2 recordsLinked to original sources

CDKN2C homozygous loss identifies a distinct subtype of TP53/RB1-wildtype leiomyosarcoma with frequent CIC genomic alterations and 1p/19q-codeletion

PurposeLeiomyosarcomas (LMS) harbor frequent inactivation of TP53 and RB1, and extensive DNA copy number alterations. Here, we describe a distinct recurrent genomic signature in TP53/RB1-wildtype uterine LMS. MethodsTissues from 276,645 unique advanced cancers, including 2,570 uterine and soft tissue LMS were sequenced by hybrid-capture-based next-generation DNA and RNA sequencing/comprehensive genomic profiling of up to 406 genes. We characterized clinicopathologic features of relevant cases. ResultsWe identified 77 LMS with homozygous copy loss of CDKN2C at chromosome 1p32.3 (3.0% of LMS). Genomic alterations (GAs) in TP53, RB1, and ATRX were rare in comparison with the remainder of the LMS cohort (11.7% vs 73.4%, 0% vs 54.5%, 2.6% vs 24.5%, all p<0.0001). CDKN2C-null LMS cases were significantly enriched for GAs in CIC (40.3% vs 1.4%) at 19q13.2, CDKN2A (46.8% vs 7.0%), and RAD51B (16.9% vs 1.7%; all p<0.0001). Chromosome arm-level aneuploidy analysis of available LMS cases (n=1,251) found that 85% (n=33/39) of CDKN2C-null LMS cases exhibited 1p/19q-codeletion, with significant enrichment in comparison to the remainder of the evaluated LMS cohort (85% vs. 5.1%, p<0.0001). 99% of CDKN2C-null cases were in females; median age was 61 years at surgery (range, 36-81 years). 55 cases were of uterine primary, 4 cases non-uterine, and the remaining 18 of uncertain primary site. 6 patients had a prior history of leiomyomatosis or uterine smooth muscle tumor of uncertain malignant potential. 60% of cases showed at least focal epithelioid variant histology. Most cases were of known advanced stage, with 62% of confirmed uterine primary cases at FIGO stage IVB. ConclusionThe identification of this novel genomic subset may have prognostic and/or therapeutic clinical relevance, including use of specific cyclin-dependent kinase inhibitors.

cancer biology

Automated Clear Cell Renal Carcinoma Grade Classification with Prognostic Significance

We developed an automated 2-tiered Fuhrmans grading system for clear cell renal cell carcinoma (ccRCC). Whole slide images (WSI) and clinical data were retrieved for 395 The Cancer Genome Atlas (TCGA) ccRCC cases. Pathologist 1 reviewed and selected regions of interests (ROIs). Nuclear segmentation was performed. Quantitative morphological, intensity, and texture features (n=72) were extracted. Features associated with grade were identified by constructing a Lasso model using data from cases with concordant 2-tiered Fuhrmans grades between TCGA and Pathologist 1 (training set n=235; held-out test set n=42). Discordant cases (n=118) were additionally reviewed by Pathologist 2. Cox proportional hazard model evaluated the prognostic efficacy of the predicted grades in an extended test set which was created by combining the test set and discordant cases (n=160). The Lasso model consisted of 26 features and predicted grade with 84.6% sensitivity and 81.3% specificity in the test set. In the extended test set, predicted grade was significantly associated with overall survival after adjusting for age and gender (Hazard Ratio 2.05; 95% CI 1.21-3.47); manual grades were not prognostic. Future work can adapt our computational system to predict WHO/ISUP grades, and validating this system on other ccRCC cohorts.

pathology