Uterine leiomyosarcomas (uLMS) are rare, aggressive malignancies for which limited treatment options are available. To gain novel molecular insights into uLMS and identify potential novel therapeutic targets, we characterized 84 uLMS samples for genome-wide somatic copy number alterations, mutations, gene fusions and gene expression and performed a data integration analysis. We found that alterations affecting TP53, RB1, PTEN, MED12, YWHAE and VIPR2 were present in the majority of uLMS. Pathway analyses additionally revealed that the PI3K/AKT/mTOR, estrogen-mediated S-phase entry and DNA damage response signaling pathways, for which inhibitors have already been developed and approved, frequently harbored genetic changes. Furthermore, a significant proportion of uLMS was characterized by amplifications and overexpression of known oncogenes (CCNE1, TDO2), as well as deletions and reduced expression of tumor suppressor genes (PTEN, PRDM16). Overall, it emerged that the most frequently affected gene in our uLMS samples was VIPR2 (96%). Interestingly, VIPR2 deletion also correlated with unfavorable survival in uLMS patients (multivariate analysis; HR = 4.5, CI = 1.4-14.3, p = 1.2E-02), while VIPR2 protein expression was reduced in uLMS vs. normal myometrium. Moreover, stimulation of VIPR2 with its natural agonist VIP decreased SK-UT-1 uLMS cell proliferation in a dose-dependent manner. These data suggest that VIPR2, which is a negative regulator of smooth muscle cell proliferation, might be a novel tumor suppressor gene in uLMS. Our work further highlights the importance of integrative molecular analyses, through which we were able to uncover the genes and pathways most frequently affected by somatic alterations in uLMS.
- MeSH
- dospělí MeSH
- genomika metody MeSH
- Kaplanův-Meierův odhad MeSH
- karcinogeneze genetika MeSH
- leiomyosarkom genetika mortalita patologie terapie MeSH
- lidé středního věku MeSH
- lidé MeSH
- myometrium patologie MeSH
- nádory dělohy genetika mortalita patologie terapie MeSH
- onkogeny genetika MeSH
- proliferace buněk genetika MeSH
- receptory vazoaktivního intestinálního peptidu typu II genetika MeSH
- regulace genové exprese u nádorů genetika MeSH
- sekvenční analýza RNA metody MeSH
- sekvenování celého genomu metody MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- signální transdukce genetika MeSH
- tumor supresorové geny MeSH
- vysoce účinné nukleotidové sekvenování metody MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem 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.
- MeSH
- analýza přežití MeSH
- dospělí MeSH
- leiomyom diagnóza genetika patologie MeSH
- leiomyosarkom diagnóza genetika patologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- lidské chromozomy, pár 13 genetika MeSH
- lidské chromozomy, pár 17 genetika MeSH
- lidské chromozomy, pár 5 genetika MeSH
- lokální recidiva nádoru MeSH
- nádor z hladké svalové tkáně diagnóza genetika patologie MeSH
- nádory dělohy diagnóza genetika patologie MeSH
- prognóza MeSH
- sekvenční analýza hybridizací s uspořádaným souborem oligonukleotidů * MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- stanovení celkové genové exprese * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Purpose: Uterine sarcomas are rare and heterogeneous tumors characterized by an aggressive clinical behavior. Their high rates of recurrence and mortality point to the urgent need for novel targeted therapies and alternative treatment strategies. However, no molecular prognostic or predictive biomarkers are available so far to guide choice and modality of treatment.Experimental Design:We investigated the expression of several druggable targets (phospho-S6S240ribosomal protein, PTEN, PDGFR-α, ERBB2, and EGFR) in a large cohort of human uterine sarcoma samples (288), including leiomyosarcomas, low-grade and high-grade endometrial stromal sarcomas, undifferentiated uterine sarcomas, and adenosarcomas, together with 15 smooth muscle tumors of uncertain malignant potential (STUMP), 52 benign uterine stromal tumors, and 41 normal uterine tissues. The potential therapeutic value of the most promising target, p-S6S240, was tested in patient-derived xenograft (PDX) leiomyosarcoma models.Results:In uterine sarcomas and STUMPs, S6S240phosphorylation (reflecting mTOR pathway activation) was associated with higher grade (P= 0.001) and recurrence (P= 0.019), as shown by logistic regression. In addition, p-S6S240correlated with shorter progression-free survival (P= 0.034). Treatment with a dual PI3K/mTOR inhibitor significantly reduced tumor growth in 4 of 5 leiomyosarcoma PDX models (with tumor shrinkage in 2 models). Remarkably, the 4 responding models showed basal p-S6S240expression, whereas the nonresponding model was scored as negative, suggesting a role for p-S6S240in response prediction to PI3K/mTOR inhibition.Conclusions:Dual PI3K/mTOR inhibition represents an effective therapeutic strategy in uterine leiomyosarcoma, and p-S6S240expression is a potential predictive biomarker for response to treatment.Clin Cancer Res; 23(5); 1274-85. ©2017 AACR.
- MeSH
- cílená molekulární terapie MeSH
- fosfatidylinositol-3-kinasy genetika MeSH
- fosforylace MeSH
- inhibitory fosfoinositid-3-kinasy MeSH
- leiomyosarkom farmakoterapie genetika patologie MeSH
- lidé MeSH
- myši MeSH
- nádorové biomarkery genetika MeSH
- nádory dělohy farmakoterapie genetika patologie MeSH
- přežití po terapii bez příznaků nemoci MeSH
- prognóza MeSH
- regulace genové exprese u nádorů účinky léků MeSH
- ribozomální protein S6 genetika MeSH
- signální transdukce účinky léků MeSH
- TOR serin-threoninkinasy antagonisté a inhibitory genetika MeSH
- xenogenní modely - testy antitumorózní aktivity MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- myši MeSH
- ženské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
The diagnosis and management of uterine smooth muscle tumors with uncertain malignant potential (STUMP) is often challenging, and genomic data on these lesions as well as on uterine smooth muscle lesions are limited. We tested the hypothesis that genomic profile determination by array-CGH could split STUMP into a benign group with scarce chromosomal alterations akin to leiomyoma and a malignant group with high chromosomal instability akin to leiomyosarcoma. Array-CGH genomic profile analysis was conducted for a series of 29 cases of uterine STUMP. A group of ten uterine leiomyomas and ten uterine leiomyosarcomas served as controls. The mean age was 50 years (range, 24-85) and the follow-up ranged from 12 to 156 months (average 70 months). Since STUMP is a heterogenous group of tumors with genomic profiles that can harbor few to many chromosomal alterations, we compared genomic indices in leiomyomas and leiomyosarcomas and set a genomic index=10 threshold. Tumors with a genomic index <10 were classified as nonrecurring STUMPs and those with a genomic index >10 represented STUMPs with recurrences and unfavorable outcomes. Hence, the genomic index threshold splits the STUMP category into two groups of tumors with different outcomes: a group comparable to leiomyomas and another similar to leiomyosarcomas, but more indolent. In our STUMP series, genomic analysis by array-CGH is an innovative diagnostic tool for problematic smooth muscle uterine lesions, complementary to the morphological evaluation approach. We provide an improved classification method for distinguishing truly malignant tumors from benign lesions within the category of STUMP, especially those with equivocal morphological features.
- MeSH
- dospělí MeSH
- leiomyom diagnóza genetika patologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- lokální recidiva nádoru genetika patologie MeSH
- mladý dospělý MeSH
- nádor z hladké svalové tkáně diagnóza genetika patologie MeSH
- nádory dělohy diagnóza genetika patologie MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- srovnávací genomová hybridizace MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH