Skip to main content
Erschienen in:

Open Access 19.07.2023 | Original Article

Uterine leiomyoma with RAD51B::NUDT3 fusion: a report of 2 cases

verfasst von: Pavel Dundr, Alba Machado-Lopez, Aymara Mas, Zuzana Věcková, Michal Mára, Adéla Richtárová, Radoslav Matěj, Ivana Stružinská, Michaela Kendall Bártů, Kristýna Němejcová, Jiří Dvořák, Jan Hojný

Erschienen in: Virchows Archiv | Ausgabe 6/2024

Abstract

Three main uterine leiomyoma molecular subtypes include tumors with MED12 mutation, molecular aberrations leading to HMGA2 overexpression, and biallelic loss of FH. These aberrations are mutually exclusive and can be found in approximately 80–90% of uterine leiomyoma, in which they seem to be a driver event. Approximately 10% of uterine leiomyoma, however, does not belong to any of these categories. Uterine leiomyoma with HMGA2 overexpression is the most common subtype in cellular and second most common category of usual leiomyoma. In some of these tumors, rearrangement of HMGA2 gene is present. The most common fusion partner of HMGA2 gene is RAD51B. Limited data suggests that RAD51B fusions with other genes may be present in uterine leiomyoma. In our study, we described two cases of uterine leiomyoma with RAD51B::NUDT3 fusion, which occur in one case of usual and one case of highly cellular leiomyoma. In both cases, no other driver molecular aberrations were found. The results of our study showed that RAD51::NUDT3 fusion can occur in both usual and cellular leiomyoma. RAD51B may be a fusion partner of multiple genes other than HMGA2 and HMGA1. In these cases, RAD51B fusion seems to be mutually exclusive with other driver aberrations defining molecular leiomyoma subtypes. RAD51B::NUDT3 fusion should be added to the spectrum of fusions which may occur in uterine leiomyoma, which can be of value especially in cellular leiomyoma in the context of differential diagnosis against endometrial stromal tumors.
Begleitmaterial
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s00428-023-03603-9.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Among uterine mesenchymal tumors, which represent a heterogeneous group of tumors arising from the smooth muscle and connective tissue of the uterus, uterine leiomyomas, also known as fibroids, are the most common and most important benign tumors with an estimated lifetime incidence of up to 70% [1].
Although current medical diagnosis of uterine mesenchymal tumors is based mainly on imaging and histological procedures, molecular tools are rapidly expanding and gaining relevance as a complement to conventional strategies in all clinical fields [25]. In this sense, understanding the molecular aberrations can be of diagnostic value, as they can help distinguish between different types of uterine mesenchymal tumors with similar clinical and pathological features. In some cases, this knowledge can also be of therapeutic value. To date, some of the reported targetable aberrations include, for example, ALK, NTRK, ROS1, and other tyrosine kinase receptor rearrangements. The three main uterine leiomyoma molecular subtypes include (i) tumors with MED12 point mutations, (ii) tumors with biallelic loss of FH, and (iii) tumors with HMGA2 overexpression, commonly associated with chromosomal rearrangements (in HMGA1/HMGA2 or COL4A5/COL4A6), mainly resulting in the overexpression of these genes or reduced expression of CUX1 or CUL1 due to 7q deletions [611]. Interestingly, while the latter genetic alteration represents the second most common category of usual-type leiomyoma, it is even more commonly found in cellular leiomyoma, where almost all cases (over 90%) show HMGA2 overexpression [1214]. In some of these tumors, rearrangement of HMGA2 is present [15]. The most common fusion partner of HMGA2 is RAD51B [16, 17]. However, the limited data suggests that fusions of RAD51B with other genes may also be present, and they seem to be mutually exclusive with other aberrations [18]. In our study, we described two cases of uterine leiomyoma with RAD51B::NUDT3 fusion, which occur in one case of usual-type and one case of cellular leiomyoma. Our cases represent the first tumors in which RAD51B::NUDT3 fusion has been found, but fusion of RAD51B with other genes than HMGA2 and NUDT3 can occur.

Material and methods

The study included two cases of uterine leiomyoma with RAD51B::NUDT3 fusion. One of them (case 1) was a routine diagnostic case from the Department of Pathology, First Medical Faculty and General University Hospital in Prague, in which the fusion was detected during the diagnostic work up. The second case (case 2) was uterine leiomyoma which was included in our previous study focused on genomic and transcriptomic profiling of uterine leiomyoma and uterine leiomyosarcoma [18].

Immunohistochemical analysis

The immunohistochemical (IHC) analysis was performed using 4-μm-thick sections of formalin-fixed and paraffin-embedded (FFPE) tissue. The list of antibodies used, including their clones, manufacturers, dilution, and staining instruments, is summarized in Supplementary Table 1.

Exome and transcriptomic next generation sequencing analysis

DNA and RNA were isolated and characterized as described before [19].
One microgram of total RNA (>200bp) from tumor and non-tumor tissue was used for the rRNA and globin mRNA depletion using NEBNext Globin & rRNA Depletion Kit (New England Biolabs). Transcriptome RNA-Seq libraries were constructed using KAPA RNA HyperPrep Kit according to the Roche KAPA HyperCap Workflow v3.2 with minor modifications (RNA fragmentation 65°C for 2 min; KAPA UMI adapters were used at a final concentration of 750 nM; total 13 PCR cycles using KAPA UDI Primer Mixes). Exome DNA libraries from tumor tissue only were prepared using KAPA HyperExome probes (Roche) by KAPA HyperCap Workflow v3.2 as described before [19].
Exome and transcriptome libraries were sequenced using NextSeq 500 (Illumina) and High Output Kit v2.5 (300 cycles), with target of 300 million reads per exome (reached average coverage was: 258×, case 1, and 358×, case 2), 60 million reads per tumor (reached reads output was 63.3 million, case 1, and 69.7 million, case 2), and 30 million reads per non-tumor transcriptome (reached reads output was 22.3 million, case 1, and 50.4 million, case 2).
Bioinformatic analysis of raw sequencing data, genomic variants annotation, tumor mutation burden (TMB) calculation, and fusion detection was processed as described before [19]. Tumor vs paired non-tumor tissue differential expression analysis was performed using the Differential Expression in Two Groups module in CLC Genomics Workbench v23.0.2 software (CLC GW; Qiagen). Only validated genes (according to the NCBI RefSeq) with a transcript per million (TPM) value above 40 were evaluated in gene expression analysis. Only significant differences ≥ 10-fold were reported.

Results

Morphological and immunohistochemical findings

The first case was a 39-year-old female referred to our institution for laparoscopic myomectomy due to persistent uterine bleeding. The ultrasonography before procedure showed nodular tumor mass 50 mm in diameter. The patient underwent laparoscopic myomectomy with in-bag morcellation. Macroscopically, the material submitted to biopsy examination consisted of multiple tumor fragment weighting 25 g. Microscopically, the tumor was highly cellular and consisted of spindle or oval tumor cell with regular nuclei and small amount of cytoplasm (Fig. 1A). The lesion showed irregular demarcation from myometrium. Immunohistochemically, the tumor cell showed positivity for desmin, smooth muscle actin and CD10 (Fig. 1B). PLAG1 showed weak positivity in most tumor cells. H-caldesmon and IFITM1 showed focal weak positivity. HMGA2, transgelin, NTRK, BCOR, S100 protein, and BCORL1 were negative. The diagnosis was highly cellular leiomyoma, but due to some equivocal features, molecular testing was performed to exclude possibility of tumor with endometrial stromal differentiation.
The second case was analyzed in our previous study [18]. The patient was a 45-year-old female who underwent laparotomic hysterectomy due to leiomyoma-related symptomatology and presented with an intrauterine mass 70 mm in diameter. Microscopically, the tumor had features of usual-type leiomyoma consisting of spindle cells without nuclear atypia and mitoses (Fig. 1C). Immunohistochemically, the tumor was positive for transgelin, desmin, and h-caldesmon (Fig. 1D). IFITM1, PLAG1, and HMGA2 were negative. No other clinical or pathological data are available for this case.

Molecular findings

DNA sequencing

DNA exome sequencing did not reveal any likely pathogenic or pathogenic (class 4–5) variant in any cancer-related gene in both analyzed cases. Low somatic mutation levels were detected in both samples, 56 somatic variants in case 1 (TMB = 1.7 mut/Mb) and 66 somatic variants in case 2 (TMB = 1.9 mut/Mb), respectively.

RNA sequencing

Detected fusions are depicted in Fig. 2. In case 1, RAD51B::NUDT3 fusion transcript was detected in 4 unique crossing reads, RAD51B(NM_133509.4):r.1_1113_NUDT3(NM_006703.4):r.518_9900, which connects exon 10 of RAD51B with exon 3 of NUDT3. Furthermore, NUDT3::RAD51B opposite fusion transcript was detected in 3 unique crossing reads, NUDT3(NM_006703.4):r.1_517_RAD51B(NM_001321818.1):r.1114_1295, which connects exon 2 of NUDT3 with exon 11 of RAD51B. Both fusion events have disrupted open reading frame. In case 2, NUDT3::RAD51B fusion transcript was detected in 47 unique crossing reads, NUDT3(NM_006703.4:r.1_517_RAD51B(NM_133509.4):r.276_2659, which connects exon 2 of NUDT3 with exon 4 of RAD51B. An opposite fusion event RAD51B(NM_133509.4):r.1_833_NUDT3(NM_006703.4):r.518_9900 which fused exon 7 of RAD51B and exon 3 of NUDT3 was detected in 40 unique crossing reads. Both fusions maintain original open reading frame. In corresponding non-tumor counterparts, none of these fusion events was detected.
Although the reported fusions had different breakpoints inside NUDT3 and RAD51B genes, due to the detection of opposite RAD51::NUDT3 fusion with similar number of fusion crossing reads, we can assume that detected translocation is balanced and reciprocal between chr14 (q24.1) and chr6 (p21.31) in both tumor cases.

Expression mRNA analysis

Significant changes in tumor expression (≥ 10-fold) with the same trend in both cases are summarized in Table 1. Overview of all significant ≥ 10-fold up- and downregulated genes and list of all significant ≥ 2-fold changes in tumor expression are in Supplementary Table 2.
Table 1
Significantly upregulated and downregulated genes in uterine leiomyomas
Gene
Case 1
Case 2
RefSeq Gene ID
RNA type
Max TPM
Fold change
Max TPM
Fold change
Upregulation
PLAG1
114.53
53.96
41.65
44.38
5324
Protein coding
CD24
395.56
15.99
598.15
58.36
100133941
Protein coding
SNORA48
264.38
14.68
231.18
19.16
652965
snoRNA
CAPN6
93.19
14.54
983.94
46.86
827
Protein coding
HMGA1
254.61
13.14
609.06
50.86
3159
Protein coding
SNORD10
203.64
12.41
194.34
11.99
652966
snoRNA
Downregulation
DKK3
44.12
−16.99
119.64
−12.72
27122
Protein coding
STK26*
48.41
−36.78
233.56
−12.75
51765
Protein coding
Only significant ≥ 10-fold RNA expression changes with same trend in cellular leiomyoma (case 1) and usual leiomyoma (case 2) are listed. Max TPM represents maximum expression value in tumor or non-tumor tissue. Fold change was calculated by differential expression analysis comparing tumor sample and non-tumor counterpart. snoRNA, small nucleolar RNA; TPM, transcripts per million; *STK26 (also known as MST4)
Significant change of expression, reaching 10- to 58-fold change between uterine lesion compared to non-tumor counterpart, was observed in CAPN6, CD24, HMGA1, PLAG1, SNORA48, and SNORD10 (upregulation) and DKK3 and STK26 (downregulation).

Discussion

The etiopathogenesis of uterine leiomyoma has been studied from several aspects including their molecular features. It has been shown that three main uterine leiomyoma molecular subtypes exist, including tumors with MED12 mutation, molecular aberrations leading to HMGA2 overexpression, and biallelic loss of FH [8, 10, 11, 2023]. These mutually exclusive aberrations seem to be a driver event and can be detected in approximately 80–90% of uterine leiomyomas. However, the frequency of molecular aberration occurring in uterine leiomyoma differs between leiomyoma subtypes. Most usual uterine leiomyomas (40–75%) are characterized by MED12 mutation, followed by 10–25% with HMGA2 overexpression [6, 20]. Specifically, in cellular leiomyoma, the most common is HMGA2 alteration (35% of cases), followed by chromosome 1p deletion (up to 25% of cases) and MED12 mutation (5–16% of cases) [24, 25]. In our previous study on cellular leiomyoma, deletion of chromosome 1p was mutually exclusive with other driver alterations [13]. However, the specific gene affected by this deletion is currently unknown [20]. FH alterations are mostly restricted to FH-deficient leiomyoma and leiomyoma with bizarre nuclei [22, 26, 27]. The incidence of FH alterations in usual and cellular leiomyoma is very rare, in the range 0–2.5% and 0–4%, respectively [10, 14].
Approximately 10% of uterine leiomyomas, however, does not belong to above-described categories. From these tumors, 38% in one study showed overexpression of HMGA1 [28]. Another study focused on 111 tumors, which were classified as negative for driver alteration based on Sanger sequencing and immunohistochemistry [17]. Forty-three of these tumors (39%) showed features typical for HMGA2-altered tumors including PLAG1 overexpression and 16 of them (14%) chromosomal rearrangements of HMGA2 (despite not having overexpression of HMGA2 by IHC), HMGA1, or PLAG1. HMGA1 and PLAG1 aberrations are not mutually exclusive with other alteration and can co-occur with MED12 mutation. Based on this, they have been suggested to be a secondary event related to tumor progression. Nevertheless, aberrations of both genes can occur also as an isolated finding and can be a driver event in uterine leiomyoma [17]. Other rare molecular driver aberrations occurring in uterine leiomyoma included somatic mutations in genes encoding six members of SRCAP histone-loading complex leading to H2A.Z loading defect [28]. It has been proved that patients with germinal mutation in the SRCAP members YEATS4 and ZNHIT1 predispose to uterine leiomyoma [28].
One recent study suggested the leading role of HMGA2 aberrations in uterine leiomyoma tumorigenesis, which is overexpressed even in leiomyomas with MED12 mutation [29]. However, the data in our previous study showed in three MED12 mutated cases neither HMGA2 overexpression on IHC level nor increased HMGA2 mRNA [13]. Some cases with HMGA2 overexpression are associated with HMGA2 translocations or aberrant splicing, but in most studies, simultaneous analysis of IHC expression and molecular aberrations was not performed and the exact incidence of cases showing HMGA2 rearrangement is not clear [30, 31]. The most common fusion partner of HMGA2 is RAD51B [16, 17, 32]. Other mechanisms potentially involved in HMGA2 overexpression are hypomethylation and regulation by the microRNA Let-7 family [31, 33, 34]. While it has been suggested that alteration of HMGA2 is considered to be the initial step leading to significant upregulation of PLAG1, the role of RAD51B should not be overlooked, as it is also important in uterine leiomyoma development [20]. In one study including 8 cases with HMGA2 rearrangement, 4 showed fusions with RAD51B, two with PTGER3, and two were rearranged without candidate partner gene [17]. Furthermore, other 4 cases in this study showed HMGA1 fusions, two with RAD51B, one showing complex rearrangement involving TRAF3IP2 and PRDM1, and one with PBX1. In our previous study on cellular leiomyoma, 33% (5/15) of tumors with HMGA2 overexpression showed HMGA2 rearrangement [13]. The fusion partners include C9orf92, PBX1, and RAD51B. In two cases, no fusion partner genes were found. In both cases, the rearrangement was within non-coding areas of chromosome 5. Another study comparing uterine leiomyoma and leiomyosarcoma found that a small percentage (3 out of 56) of leiomyoma cases showed a RAD51B fusion (with HMGA2, NCOR2, and NUDT3), and one of these cases with RAD51B::NUDT3 fusion is reported here in detail [18]. Interestingly, disruptions in NUDT3 have been shown to enhance cell migration in tumorigenic processes [35].
The expression of RAD51B and NUDT3 was detected on similar levels, which supports the hypothesis of balanced and reciprocal translocation event leading to these fusions.
While both cases showed 5-fold upregulation of RAD51B expression when compared to the matched healthy myometrium, there was no change in NUDT3 expression in case 1, with case 2 showing only 2-fold increased expression compared to the matched myometrium. Our findings support the previously published data suggesting that these fusions lead to the loss of physiological functions of RAD51B and NUDT3, resulting in a tumorigenic process. Concerning other RNA expression findings, transcriptional differences among leiomyomas harboring different genetic drivers have been described. Significant upregulation of PLAG1 was described in HMGA2 subtype of leiomyoma [20]. Overexpression of this gene can be also associated with upregulation of insulin-like growth factor-2 (IGF2) [36]. Moreover, overexpression of HMGA1 and/or HMGA2 is in leiomyomas common finding [20]. In our study, we have found upregulation or downregulation of several genes. In concordance with literary data, upregulation of HMGA1 and PLAG1 mRNA was detected in both cases. The HMGA2 mRNA expression in tumor and non-tumor tissue was below the level of reliable evaluation of expression pattern, which is in line with IHC negative results. Immunohistochemically detected PLAG1 protein expression showed weak positivity in case 1 and negativity in case 2. The IGF2 mRNA upregulation (≥ 10-fold) was observed only in usual leiomyoma. Furthermore, highly upregulated mRNA of cell surface marker CD24 was detected in our cases which correlates with previous findings of enriched CD24hi cells in leiomyoma. Another upregulated gene CAPN6 was detected also in both cases. Its upregulation has been previously described in uterine leiomyoma and was shown to be involved in proliferation and apoptosis while being mediated through the Rac1/PAK1 signaling pathway [37]. SNORA48 and SNORD10 (coding for small nucleolar RNAs) have not yet been described in leiomyomas, however were upregulated in both our cases. Some snoRNAs exhibit differential expression patterns in a variety of human cancers [38]. In one study, SFRP1 was significantly upregulated in leiomyomas relative to normal adjacent myometrium while other Wnt inhibitors such as APC, DKK1, and DKK3 were significantly downregulated [39]. We observed downregulation of DKK3 in both samples. Expression of SFRP1 was downregulated in cellular leiomyoma and upregulated in usual leiomyoma. The expression of APC and DKK1 was low and not reliable for evaluation of expression pattern. Furthermore, STK26 (previously known as MST4) downregulation was observed in both samples. This finding correlates with MST4 downregulation in leiomyomas relative to normal myometrium reported previously [40].
The knowledge about molecular features of uterine leiomyoma can be of practical value in differential diagnosis especially in tumors with some unusual morphological features, such as cellular leiomyomas. In some of these tumors, especially so-called highly cellular leiomyomas, the distinction from tumors with endometrial stromal differentiation, including low grade endometrial stromal sarcoma (LG-ESS), may be problematic. Most of these tumors can be distinguished based on combination of morphological and immunohistochemical features. However, rare tumors can have overlapping features between cellular leiomyoma and LG-ESS and in these tumors, molecular testing may be helpful. However, the knowledge of molecular aberrations occurring in endometrial stromal tumors is rapidly evolving and the spectrum of aberration is broadening. These aberrations do not occur in uterine leiomyoma. However, with increasing knowledge about molecular aberrations occurring in mesenchymal uterine tumors, new aberrations were described, which can occur in both cellular leiomyoma and endometrial stromal tumors. For example, tumors with KAT6B::KANSL1 and KAT6A::KANSL1 fusion resembling LG-ESS some of them with sex cord-like features have been described recently [41]. These tumors have potential to aggressive behavior, even though most of them were characterized by well-defined borders. However, the fusions detected in these tumors have been described in 1 case of uterine leiomyoma and 1 case of uterine leiomyosarcoma [42, 43].
In conclusion, our study showed that RAD51::NUDT3 fusion can occur in both usual and cellular leiomyoma. RAD51B may be a fusion partner of HMGA2 and HMGA1 but can occur in fusion with other genes including NUDT3 and seems to be a potential driver event in these tumors mutually exclusive with other driver aberrations defining molecular leiomyoma subtypes. Nevertheless, more data is needed to confirm the possibility of RAD51B altered uterine leiomyoma as a distinct molecular subtype. From practical point of view, we should add the RAD51B::NUDT3 fusion into the spectrum of fusions which can occur in leiomyocellular tumors, but has never been described in tumors of other histogenesis including inflammatory myofibroblastic tumor, endometrial stromal tumors, and tumors with kinase fusions such as NTRK, RET, and ROS1. Based on this, this fusion seems to be specific for tumors with leiomyocellular differentiation. This can be important for differential diagnosis between cellular leiomyoma and LG-ESS, but also for the differential diagnosis of tumors of other histogenesis, which can be in some cases with equivocal features complicated on morphological and immunohistochemical level only.

Acknowledgements

The authors wish to thank Mgr. Zachary Harold Kane Kendall, B.A. (Institute for History of Medicine and Foreign Languages, First Faculty of Medicine, Charles University) for the English proofreading.

Declarations

Ethical approval

The study has been approved by the Ethics Committee of General University Hospital in Prague in compliance with the Helsinki Declaration (ethical approval number EK RVO 210/19 S-IV). The Ethics Committee waived the requirement for informed consent, as according to the Czech Law (Act. no. 373/11, and its amendment Act no. 202/17), it is not necessary to obtain informed consent in fully anonymized studies. Regarding the second case, use of human tissue sample was previously approved by the IRB of Hospital La Fe, Valencia, Spain (24 July 2019).

Conflict of interest

The authors declare no competing interests.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Unsere Produktempfehlungen

e.Med Interdisziplinär

Kombi-Abonnement

Für Ihren Erfolg in Klinik und Praxis - Die beste Hilfe in Ihrem Arbeitsalltag

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf SpringerMedizin.de.

Anhänge

Supplementary information

Literatur
2.
Zurück zum Zitat Binzer-Panchal A, Hardell E, Viklund B, Ghaderi M, Bosse T, Nucci MR, Lee CH, Hollfelder N, Corcoran P, Gonzalez-Molina J, Moyano-Galceran L, Bell DA, Schoolmeester JK, Måsbäck A, Kristensen GB, Davidson B, Lehti K, Isaksson A, Carlson JW (2019) Integrated Molecular Analysis of Undifferentiated Uterine Sarcomas Reveals Clinically Relevant Molecular Subtypes. Clin Cancer Res 25(7):2155–2165. https://doi.org/10.1158/1078-0432.CCR-18-2792CrossRefPubMed Binzer-Panchal A, Hardell E, Viklund B, Ghaderi M, Bosse T, Nucci MR, Lee CH, Hollfelder N, Corcoran P, Gonzalez-Molina J, Moyano-Galceran L, Bell DA, Schoolmeester JK, Måsbäck A, Kristensen GB, Davidson B, Lehti K, Isaksson A, Carlson JW (2019) Integrated Molecular Analysis of Undifferentiated Uterine Sarcomas Reveals Clinically Relevant Molecular Subtypes. Clin Cancer Res 25(7):2155–2165. https://​doi.​org/​10.​1158/​1078-0432.​CCR-18-2792CrossRefPubMed
4.
Zurück zum Zitat Momeni-Boroujeni A, Mohammad N, Wolber R, Yip S, Köbel M, Dickson BC, Chiang S (2021) Targeted RNA expression profiling identifies high-grade endometrial stromal sarcoma as a clinically relevant molecular subtype of uterine sarcoma. Mod Pathol 34(5):1008–1016CrossRefPubMed Momeni-Boroujeni A, Mohammad N, Wolber R, Yip S, Köbel M, Dickson BC, Chiang S (2021) Targeted RNA expression profiling identifies high-grade endometrial stromal sarcoma as a clinically relevant molecular subtype of uterine sarcoma. Mod Pathol 34(5):1008–1016CrossRefPubMed
5.
Zurück zum Zitat Rommel B, Holzmann C, Bullerdiek J (2016) Malignant mesenchymal tumors of the uterus - time to advocate a genetic classification. Expert Rev Anticancer Ther 16(11):1155–1166CrossRefPubMed Rommel B, Holzmann C, Bullerdiek J (2016) Malignant mesenchymal tumors of the uterus - time to advocate a genetic classification. Expert Rev Anticancer Ther 16(11):1155–1166CrossRefPubMed
6.
Zurück zum Zitat Mehine M, Kaasinen E, Mäkinen N, Katainen R, Kämpjärvi K, Pitkänen E, Heinonen HR, Bützow R, Kilpivaara O, Kuosmanen A, Ristolainen H, Gentile M, Sjöberg J, Vahteristo P, Aaltonen LA (2013) Characterization of uterine leiomyomas by whole-genome sequencing. N Engl J Med 369(1):43–53. https://doi.org/10.1056/NEJMoa1302736CrossRefPubMed Mehine M, Kaasinen E, Mäkinen N, Katainen R, Kämpjärvi K, Pitkänen E, Heinonen HR, Bützow R, Kilpivaara O, Kuosmanen A, Ristolainen H, Gentile M, Sjöberg J, Vahteristo P, Aaltonen LA (2013) Characterization of uterine leiomyomas by whole-genome sequencing. N Engl J Med 369(1):43–53. https://​doi.​org/​10.​1056/​NEJMoa1302736CrossRefPubMed
10.
11.
Zurück zum Zitat Lehtonen R, Kiuru M, Vanharanta S, Sjöberg J, Aaltonen LM, Aittomäki K, Arola J, Butzow R, Eng C, Husgafvel-Pursiainen K, Isola J, Järvinen H, Koivisto P, Mecklin JP, Peltomäki P, Salovaara R, Wasenius VM, Karhu A, Launonen V et al (2004) Biallelic inactivation of fumarate hydratase (FH) occurs in nonsyndromic uterine leiomyomas but is rare in other tumors. Am J Pathol 164(1):17–22. https://doi.org/10.1016/S0002-9440(10)63091-XCrossRefPubMedPubMedCentral Lehtonen R, Kiuru M, Vanharanta S, Sjöberg J, Aaltonen LM, Aittomäki K, Arola J, Butzow R, Eng C, Husgafvel-Pursiainen K, Isola J, Järvinen H, Koivisto P, Mecklin JP, Peltomäki P, Salovaara R, Wasenius VM, Karhu A, Launonen V et al (2004) Biallelic inactivation of fumarate hydratase (FH) occurs in nonsyndromic uterine leiomyomas but is rare in other tumors. Am J Pathol 164(1):17–22. https://​doi.​org/​10.​1016/​S0002-9440(10)63091-XCrossRefPubMedPubMedCentral
13.
Zurück zum Zitat Dundr P, Gregová M, Hojný J, Krkavcová E, Michálková R, Němejcová K, Bártů M, Hájková N, Laco J, Mára M, Richtárová A, Zima T, Stružinská I (2022) Uterine cellular leiomyomas are characterized by common HMGA2 aberrations, followed by chromosome 1p deletion and MED12 mutation: morphological, molecular, and immunohistochemical study of 52 cases. Virchows Arch 480(2):281–291. https://doi.org/10.1007/s00428-021-03217-zCrossRefPubMed Dundr P, Gregová M, Hojný J, Krkavcová E, Michálková R, Němejcová K, Bártů M, Hájková N, Laco J, Mára M, Richtárová A, Zima T, Stružinská I (2022) Uterine cellular leiomyomas are characterized by common HMGA2 aberrations, followed by chromosome 1p deletion and MED12 mutation: morphological, molecular, and immunohistochemical study of 52 cases. Virchows Arch 480(2):281–291. https://​doi.​org/​10.​1007/​s00428-021-03217-zCrossRefPubMed
17.
Zurück zum Zitat Jokinen V, Mehine M, Reinikka S, Khamaiseh S, Ahvenainen T, Äyräväinen A, Härkki P, Bützow R, Pasanen A, Vahteristo P (2023) 3'RNA and whole-genome sequencing of archival uterine leiomyomas reveal a tumor subtype with chromosomal rearrangements affecting either HMGA2, HMGA1, or PLAG1. Genes Chr Cancer 62(1):27–38. https://doi.org/10.1002/gcc.23088CrossRef Jokinen V, Mehine M, Reinikka S, Khamaiseh S, Ahvenainen T, Äyräväinen A, Härkki P, Bützow R, Pasanen A, Vahteristo P (2023) 3'RNA and whole-genome sequencing of archival uterine leiomyomas reveal a tumor subtype with chromosomal rearrangements affecting either HMGA2, HMGA1, or PLAG1. Genes Chr Cancer 62(1):27–38. https://​doi.​org/​10.​1002/​gcc.​23088CrossRef
18.
19.
Zurück zum Zitat Stružinská I, Hájková N, Hojný J, Krkavcová E, Michálková R, Dvořák J, Němejcová K, Matěj R, Laco J, Drozenová J, Fabian P, Hausnerová J, Méhes G, Škapa P, Švajdler M, Cibula D, Frühauf F, Bártů MK, Dundr P (2023) A comprehensive molecular analysis of 113 primary ovarian clear cell carcinomas reveals common therapeutically significant aberrations. Diagn Pathol 18(1):72. https://doi.org/10.1186/s13000-023-01358-0CrossRefPubMedPubMedCentral Stružinská I, Hájková N, Hojný J, Krkavcová E, Michálková R, Dvořák J, Němejcová K, Matěj R, Laco J, Drozenová J, Fabian P, Hausnerová J, Méhes G, Škapa P, Švajdler M, Cibula D, Frühauf F, Bártů MK, Dundr P (2023) A comprehensive molecular analysis of 113 primary ovarian clear cell carcinomas reveals common therapeutically significant aberrations. Diagn Pathol 18(1):72. https://​doi.​org/​10.​1186/​s13000-023-01358-0CrossRefPubMedPubMedCentral
20.
Zurück zum Zitat Mehine M, Kaasinen E, Heinonen HR, Mäkinen N, Kämpjärvi K, Sarvilinna N, Aavikko M, Vähärautio A, Pasanen A, Bützow R, Heikinheimo O, Sjöberg J, Pitkänen E, Vahteristo P, Aaltonen LA (2016) Integrated data analysis reveals uterine leiomyoma subtypes with distinct driver pathways and biomarkers. Proc Natl Acad Sci U S A 113(5):1315–1320. https://doi.org/10.1073/pnas.1518752113CrossRefPubMedPubMedCentral Mehine M, Kaasinen E, Heinonen HR, Mäkinen N, Kämpjärvi K, Sarvilinna N, Aavikko M, Vähärautio A, Pasanen A, Bützow R, Heikinheimo O, Sjöberg J, Pitkänen E, Vahteristo P, Aaltonen LA (2016) Integrated data analysis reveals uterine leiomyoma subtypes with distinct driver pathways and biomarkers. Proc Natl Acad Sci U S A 113(5):1315–1320. https://​doi.​org/​10.​1073/​pnas.​1518752113CrossRefPubMedPubMedCentral
22.
23.
Zurück zum Zitat Ferrero H (2020) HMGA2 involvement in uterine leiomyomas development through angiogenesis activation. Fertil Steril 114(5):974–975CrossRefPubMed Ferrero H (2020) HMGA2 involvement in uterine leiomyomas development through angiogenesis activation. Fertil Steril 114(5):974–975CrossRefPubMed
24.
Zurück zum Zitat Mäkinen N, Mehine M, Tolvanen J, Kaasinen E, Li Y, Lehtonen HJ, Gentile M, Yan J, Enge M, Taipale M, Aavikko M, Katainen R, Virolainen E, Böhling T, Koski TA, Launonen V, Sjöberg J, Taipale J, Vahteristo P, Aaltonen LA (2011) MED12, the mediator complex subunit 12 gene, is mutated at high frequency in uterine leiomyomas. Sci 334(6053):252–255. https://doi.org/10.1126/science.1208930CrossRef Mäkinen N, Mehine M, Tolvanen J, Kaasinen E, Li Y, Lehtonen HJ, Gentile M, Yan J, Enge M, Taipale M, Aavikko M, Katainen R, Virolainen E, Böhling T, Koski TA, Launonen V, Sjöberg J, Taipale J, Vahteristo P, Aaltonen LA (2011) MED12, the mediator complex subunit 12 gene, is mutated at high frequency in uterine leiomyomas. Sci 334(6053):252–255. https://​doi.​org/​10.​1126/​science.​1208930CrossRef
27.
28.
Zurück zum Zitat Berta DG, Kuisma H, Välimäki N, Räisänen M, Jäntti M, Pasanen A, Karhu A, Kaukomaa J, Taira A, Cajuso T, Nieminen S, Penttinen RM, Ahonen S, Lehtonen R, Mehine M, Vahteristo P, Jalkanen J, Sahu B, Ravantti J et al (2021) Deficient H2A.Z deposition is associated with genesis of uterine leiomyoma. Nature 596(7872):398–403. https://doi.org/10.1038/s41586-021-03747-1CrossRefPubMed Berta DG, Kuisma H, Välimäki N, Räisänen M, Jäntti M, Pasanen A, Karhu A, Kaukomaa J, Taira A, Cajuso T, Nieminen S, Penttinen RM, Ahonen S, Lehtonen R, Mehine M, Vahteristo P, Jalkanen J, Sahu B, Ravantti J et al (2021) Deficient H2A.Z deposition is associated with genesis of uterine leiomyoma. Nature 596(7872):398–403. https://​doi.​org/​10.​1038/​s41586-021-03747-1CrossRefPubMed
32.
Zurück zum Zitat Sandberg AA (2005) Updates on the cytogenetics and molecular genetics of bone and soft tissue tumors: leiomyosarcoma. Cancer Genet Cytogenet 161(1):1–19CrossRefPubMed Sandberg AA (2005) Updates on the cytogenetics and molecular genetics of bone and soft tissue tumors: leiomyosarcoma. Cancer Genet Cytogenet 161(1):1–19CrossRefPubMed
34.
36.
Zurück zum Zitat Voz ML, Agten NS, Van de Ven WJ, Kas K (2000) PLAG1, the main translocation target in pleomorphic adenoma of the salivary glands, is a positive regulator of IGF-II. Cancer Res 60(1):106–113PubMed Voz ML, Agten NS, Van de Ven WJ, Kas K (2000) PLAG1, the main translocation target in pleomorphic adenoma of the salivary glands, is a positive regulator of IGF-II. Cancer Res 60(1):106–113PubMed
37.
Zurück zum Zitat Zhu L, Sun Y, Wu Q, Zhang C, Ling J (2020) CAPN6 Regulates Uterine Leiomyoma Cell Proliferation and Apoptosis through the Rac1-Dependent Signaling Pathway. Ann Clin Lab Sci 50(1):24–30PubMed Zhu L, Sun Y, Wu Q, Zhang C, Ling J (2020) CAPN6 Regulates Uterine Leiomyoma Cell Proliferation and Apoptosis through the Rac1-Dependent Signaling Pathway. Ann Clin Lab Sci 50(1):24–30PubMed
38.
Zurück zum Zitat Mannoor K, Liao J, Jiang F (2012) Small nucleolar RNAs in cancer. Biochim Biophys Acta 1826(1):121–128PubMed Mannoor K, Liao J, Jiang F (2012) Small nucleolar RNAs in cancer. Biochim Biophys Acta 1826(1):121–128PubMed
40.
Zurück zum Zitat Dimitrova IK et al (2009) Gene expression profiling of multiple leiomyomata uteri and matched normal tissue from a single patient. Fertil Steril 91(6):2650–2663CrossRefPubMed Dimitrova IK et al (2009) Gene expression profiling of multiple leiomyomata uteri and matched normal tissue from a single patient. Fertil Steril 91(6):2650–2663CrossRefPubMed
41.
43.
Zurück zum Zitat Choi J, Manzano A, Dong W, Bellone S, Bonazzoli E, Zammataro L, Yao X, Deshpande A, Zaidi S, Guglielmi A, Gnutti B, Nagarkatti N, Tymon-Rosario JR, Harold J, Mauricio D, Zeybek B, Menderes G, Altwerger G, Jeong K et al (2021) Integrated mutational landscape analysis of uterine leiomyosarcomas. Proc Natl Acad Sci U S A 118(15):e2025182118. https://doi.org/10.1073/pnas.2025182118CrossRefPubMedPubMedCentral Choi J, Manzano A, Dong W, Bellone S, Bonazzoli E, Zammataro L, Yao X, Deshpande A, Zaidi S, Guglielmi A, Gnutti B, Nagarkatti N, Tymon-Rosario JR, Harold J, Mauricio D, Zeybek B, Menderes G, Altwerger G, Jeong K et al (2021) Integrated mutational landscape analysis of uterine leiomyosarcomas. Proc Natl Acad Sci U S A 118(15):e2025182118. https://​doi.​org/​10.​1073/​pnas.​2025182118CrossRefPubMedPubMedCentral
Metadaten
Titel
Uterine leiomyoma with RAD51B::NUDT3 fusion: a report of 2 cases
verfasst von
Pavel Dundr
Alba Machado-Lopez
Aymara Mas
Zuzana Věcková
Michal Mára
Adéla Richtárová
Radoslav Matěj
Ivana Stružinská
Michaela Kendall Bártů
Kristýna Němejcová
Jiří Dvořák
Jan Hojný
Publikationsdatum
19.07.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Virchows Archiv / Ausgabe 6/2024
Print ISSN: 0945-6317
Elektronische ISSN: 1432-2307
DOI
https://doi.org/10.1007/s00428-023-03603-9

Neu im Fachgebiet Pathologie

„KI“ in der Rechtsmedizin – von der Forschung in die Praxis: Welche Herausforderungen ergeben sich?

Der Einsatz künstlicher Intelligenz (KI) in der Rechtsmedizin ist absehbar, KI-Anwendungen könnten im Ermittlungsverfahren oder in foro bald eine zentrale Rolle in Entscheidungsprozessen einnehmen. Dann werden insbesondere Transparenz …

Latent spaces of generative models for forensic age estimation

  • Open Access
  • Original reports

Similar to other parts of our society, machine learning has emerged as a popular tool within different areas of forensic medicine and will soon fuel more and more research and practice niches of our disciplines. Given the rapid advances, the …

Artificial intelligence in forensic pathology: an Australian and New Zealand perspective

  • Open Access
  • Leitthema

Artificial intelligence application has gained popularity in the last decade. Its application is implemented into multiple industries including the health sector; however, discipline-specific artificial intelligence applications are not widely …

Künstliche Intelligenz in der forensisch-radiologischen Altersdiagnostik

Fragen zu Implementierung und Nutzbarkeit von künstlicher Intelligenz (KI) spielen eine immer größere Rolle in der Forensischen Altersdiagnostik bei Lebenden, insbesondere im Rahmen forensisch-radiologischer Ansätze. Bis dato liegen bereits …