GRCh38 · COSMIC v87


This section shows a general overview of information for the selected study (COSU identifier) or publication (COSP identifier). Studies may have been performed by the Sanger Institute Cancer Genome Project, or imported from the ICGC/TCGA. You can see more information on the help pages.

Elucidating the pathogenesis of synchronous and metachronous tumors in a woman with endometrioid carcinomas using a whole-exome sequencing approach
Paper ID
Wu RC, Veras E, Lin J, Gerry E, Bahadirli-Talbott A, Baras A, Ayhan A, Shih IM and Wang TL
Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, Maryland 21231, USA.
Cold Spring Harbor molecular case studies 2017;3(6)
Synchronous endometrial and ovarian (SEO) carcinomas involve endometrioid neoplasms in both the ovary and uterus at the time of diagnosis. Patients were traditionally classified as having independent primary SEO lesions or as having metastatic endometrioid carcinoma. Recent studies have supported that SEO tumors result from the dissemination of cells from one organ site to another. However, whether this can be considered a "metastasis" or "dissemination" remains unclear. In this report, we performed whole-exome sequencing of tumor samples from a woman with well-differentiated endometrioid SEO tumors and a clinical "recurrent" poorly differentiated peritoneal tumor that was diagnosed 8 years after the complete resection of the SEO tumors. Somatic mutation analysis identified 132, 171, and 1214 nonsynonymous mutations in the endometrial, ovarian, and peritoneal carcinomas, respectively. A unique mutation signature associated with mismatch repair deficiency was observed in all three tumors. The SEO carcinomas shared 57 nonsynonymous mutations, whereas the clinically suspected recurrent carcinoma shared only eight nonsynonymous mutations with the SEO tumors. One of the eight shared somatic mutations involved PTEN; these shared mutations represent the earliest genetic alteration in the ancestor cell clone. Based on analysis of the phylogenetic tree, we predicted that the so-called recurrent peritoneal tumor was derived from the same endometrial ancestor clone as the SEO tumors, and that this clone migrated and established benign peritoneal endometriosis where the peritoneal tumor later arose. This case highlights the usefulness of next-generation sequencing in defining the etiology and clonal relationships of synchronous and metachronous tumors from patients, thus providing valuable insight to aid in the clinical management of rare or ambiguous tumors.
Paper Status
Genes Analysed
Mutated Samples
Total No. of Samples

Mutation Matrix

This section shows the correlation plot between the top 20 genes and samples. There is more information in our help pages.


This table shows genes with mutations in the selected study/paper [more details]
Genes Mutated Samples
This table shows genes without mutations in the selected study/paper [more details]

Table Information


This is a whole exome/systematic screen paper and the negatives for this paper should be inferred.


This tab shows genes with mutations in the selected study/paper [more details]

Genes Samples CDS Mutation AA Mutation

This tab shows non coding variant in the selected study/paper [more details]

Sample ID Sample Name ID NCV Annotation Zygosity Chromosome Genome start Genome stop Genome version Strand WT seq Mut seq FATHMM-MKL

This tab shows the gene expression and copy number variation data for this study [more details]

Table Information


The table currently shows only high value (numeric) copy number data. Copy number segments are excluded if the total copy number and minor allele values are unknown.

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Sample Gene Expression Expr Level (Z-Score)

Over Expressed; Z-Score > 2.0

Under Expressed; Z-Score < -2.0

Normal; Z-Score within the range -2.0 to 2.0

CN Type Minor Allele Copy Number CN Segment Posn. Average Ploidy

1. N/A represents cases where the average ploidy value is not available( mostly ICGC samples). For some TCGA samples where the minor allele information is not available the average ploidy value could not be calculated.

2. For TCGA samples, the ASCAT algorithm was used to calculate the average ploidy.

3. For CGP samples, the PICNIC algorithm was used to calculate the average ploidy.


This table lists the samples in the selected study which have low/high methylation for each gene. [more details]

No data

This tab shows the fusion mutations observed in this sample [more details]

Gene Sample Name Id Sample(COSS) CDS Mutation Somatic status Zygosity Validated Type


This table shows mutated samples in the selected study/paper.

Sample Name Mutation Count

This table shows samples without mutations in the selected study/paper.

Non-Mutant Samples Sample Id (COSS)