| Literature DB >> 25986173 |
Robertson Mackenzie1, Stefan Kommoss2,3, Boris J Winterhoff4, Benjamin R Kipp5, Joaquin J Garcia6, Jesse Voss7, Kevin Halling8, Anthony Karnezis9, Janine Senz10, Winnie Yang11, Elena-Sophie Prigge12, Miriam Reuschenbach13, Magnus Von Knebel Doeberitz14, Blake C Gilks15, David G Huntsman16,17, Jamie Bakkum-Gamez18, Jessica N McAlpine19, Michael S Anglesio20,21.
Abstract
BACKGROUND: Mucinous ovarian tumors represent a distinct histotype of epithelial ovarian cancer. The rarest (2-4 % of ovarian carcinomas) of the five major histotypes, their genomic landscape remains poorly described. We undertook hotspot sequencing of 50 genes commonly mutated in human cancer across 69 mucinous ovarian tumors. Our goals were to establish the overall frequency of cancer-hotspot mutations across a large cohort, especially those tumors previously thought to be "RAS-pathway alteration negative", using highly-sensitive next-generation sequencing as well as further explore a small number of cases with apparent heterogeneity in RAS-pathway activating alterations.Entities:
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Year: 2015 PMID: 25986173 PMCID: PMC4494777 DOI: 10.1186/s12885-015-1421-8
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Fig. 1Outline of next-generation sequencing based sequencing strategy in the context of previously established cohort RAS-alterations defined in Anglesio et al., 2013 [13]. Direct RAS-pathway alterations including suspected and known activating alteration to KRAS, BRAF, ERBB2, FGFR2, and STK11 (the latter is presumed to alleviate negative signals on mTOR via TSC1/2 complex, similar to the effect of ERK1/2 activation)
Somatic hotspot mutation frequencies for MC and MBOT
| Carcinoma (n = 37) | Mutation Events | Frequency | |
|---|---|---|---|
|
| 24 | 64.9 | |
|
| 24 | * | 56.8 |
|
| 8 | * | 18.9 |
|
| 5 | 13.5 | |
|
| 2 | * | 2.7 |
|
| 2 | 5.4 | |
|
| 1 | 2.7 | |
|
| 1 | 2.7 | |
|
| 2 | 5.4 | |
|
| 1 | 2.7 | |
|
| 1 | 2.7 | |
| Total Number Mutations | 71 | ||
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| Borderline Tumor (n = 26) | Mutation Events | Frequency | |
|
| 24 | 92.3 | |
|
| 3 | 11.5 | |
|
| 5 | 19.2 | |
|
| 4 | 15.4 | |
|
| 1 | 3.8 | |
|
| 1 | 3.8 | |
|
| 1 | 3.8 | |
| Total Number Mutations | 39 | ||
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*Multiple cases with 2 mutation events. Number of mutated cases were used to establish frequency across cohort: TP53 (n = 21), CDKN2A (n = 7) and PTEN (n = 1)
§Derived from Anglesio et al., 2013 [13]
Fig. 2Mutation frequencies and immunohistochemistry scores for 26 mucinous borderline tumors. Solid color in any of the first 13 columns represents a presumed somatic (COSMIC) hotspot mutation in the given case. In the last three columns numbers represent binarized IHC score for p53 and § “Original ERBB2 amplification and KRAS mutation” status derived from Anglesio et al., 2013 [13] where 0 = Negative, 1 = Positive, X = Unknown, the latter derived from IHC, FISH, and/or CISH. IHC for p53 is displayed as three-tiered IHC score where 0 (no staining) and 2 (>50 % positive nuclei) represent abnormal p53 status and 1 (1-50 % positive nuclei) represents normal p53 status (x = data unavailable)
Fig. 3Mutation frequencies and immunohistochemistry scores for 37 mucinous carcinoma. As in Fig. 2, Solid color in any of the first 13 columns represents a presumed somatic (COSMIC) hotspot mutation in the given case. In the last three columns numbers represent binarized IHC score for p53 and § “Original ERBB2 amplification and KRAS mutation” status derived from Anglesio et al., 2013 [13] where 0 = Negative, 1 = Positive, X = Unknown, the latter derived from IHC, FISH, and/or CISH. IHC for p53 is displayed as three-tiered IHC score where 0 (no staining) and 2 (>50 % positive nuclei) represent abnormal p53 status and 1 (1-50 % positive nuclei) represents normal p53 status
Fig. 4ERBB2 immunohistochemical heterogeneity in two MC and sequencing results from each distinct component. ERBB2+ regions were microdissected and sequenced independently from the ERBB2- components to compare mutation events. Identical KRAS mutations were observed in the ERBB2+ and ERBB2- regions for both cases. ERBB2 high-intensity staining regions was used as a proxy for gene amplification status, as regions previously defined by this high-level IHC staining correlated perfectly with FISH and/or CISH data suggesting amplification of the ERBB2 gene [13]