Genome profiling is an efficient tool to avoid the STUMP classification of uterine smooth muscle lesions: a comprehensive array-genomic hybridization analysis of 77 tumors
Language English Country United States Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
29327710
DOI
10.1038/modpathol.2017.185
PII: S0893-3952(22)01514-9
Knihovny.cz E-resources
- MeSH
- Survival Analysis MeSH
- Adult MeSH
- Leiomyoma diagnosis genetics pathology MeSH
- Leiomyosarcoma diagnosis genetics pathology MeSH
- Middle Aged MeSH
- Humans MeSH
- Chromosomes, Human, Pair 13 genetics MeSH
- Chromosomes, Human, Pair 17 genetics MeSH
- Chromosomes, Human, Pair 5 genetics MeSH
- Neoplasm Recurrence, Local MeSH
- Smooth Muscle Tumor diagnosis genetics pathology MeSH
- Uterine Neoplasms diagnosis genetics pathology MeSH
- Prognosis MeSH
- Oligonucleotide Array Sequence Analysis * MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Gene Expression Profiling * MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
The diagnosis of a uterine smooth muscle lesion is, in the majority of cases, straightforward. However, in a small number of cases, the morphological criteria used in such lesions cannot differentiate with certainty a benign from a malignant lesion and a diagnosis of smooth muscle tumor with uncertain malignant potential (STUMP) is made. Uterine leiomyosarcomas are often easy to diagnose but it is difficult or even impossible to identify a prognostic factor at the moment of the diagnosis with the exception of the stage. We hypothesize, for uterine smooth muscle lesions, that there is a gradient of genomic complexity that correlates to outcome. We first tested this hypothesis on STUMP lesions in a previous study and demonstrated that this 'gray category' could be split according to genomic index into two groups. A benign group, with a low to moderate alteration rate without recurrence and a malignant group, with a highly rearranged profile akin to uterine leiomyosarcomas. Here, we analyzed a large series of 77 uterine smooth muscle lesions (from 76 patients) morphologically classified as 19 leiomyomas, 14 STUMP and 44 leiomyosarcomas with clinicopathological and genomic correlations. We confirmed that genomic index with a cut-off=10 is a predictor of recurrence (P<0.0001) and with a cut-off=35 is a marker for poor overall survival (P=0.035). For the tumors confined to the uterus, stage as a prognostic factor was not useful in survival prediction. At stage I, among the tumors reclassified as molecular leiomyosarcomas (ie, genomic index ≥10), the poor prognostic markers were: 5p gain (overall survival P=0.0008), genomic index at cut-off=35 (overall survival P=0.0193), 13p loss including RB1 (overall survival P=0.0096) and 17p gain including MYOCD gain (overall survival P=0.0425). Based on these findings (and the feasibility of genomic profiling by array-comparative genomic hybridization), genomic index, 5p and 17p gains prognostic value could be evaluated in future prospective chemotherapy trials.
Argot Lab Lausanne Switzerland
Department of Biopathology Institut Bergonié Comprehensive Cancer Centre Bordeaux France
Department of Medical Oncology Institut Bergonié Comprehensive Cancer Centre Bordeaux France
Department of Pathology Centre Jean Perrin Comprehensive Cancer Centre Clermont Ferrand France
Department of Pathology Centre JF Leclerc Comprehensive Cancer Centre Dijon France
Department of Pathology Centre Oscar Lambret Comprehensive Cancer Centre Lille France
Department of Pathology Hôpital Universitaire Lyon Sud Pierre Benite France
Department of Pathology ICO Site Paul Papin Comprehensive Cancer Centre Angers France
Department of Pathology Institut Gustave Roussy Comprehensive Cancer Centre Villejuif France
Department of Pathology University Hospital Poitiers France
Department of Surgery Institut Bergonié Comprehensive Cancer Centre Bordeaux France
Institut National de la Santé et de la Recherche Medicale U1218 Bordeaux France
Institut Universitaire de Pathologie Lausanne Switzerland
Oncology Department Centre Antoine Lacassagne Comprehensive Cancer Centre Nice France
Oncology Department Centre Oscar Lambret Comprehensive Cancer Centre Lille France
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