Literature DB >> 29315289

MED12, TERT promoter and RBM15 mutations in primary and recurrent phyllodes tumours.

Diego A Garcia-Dios1, Dina Levi1, Vandna Shah1, Cheryl Gillett1, Michael A Simpson2, Andrew Hanby3, Ian Tomlinson4, Elinor J Sawyer1.   

Abstract

BACKGROUND: MED12 and TERT promoter mutations have been shown to be the most common somatic mutations in phyllodes tumours (PTs). The aims of this study were to determine the frequency of these mutations in recurrent PTs, assess whether TERT promoter mutations could be helpful in distinguishing fibroadenomas (FAs) from PTs and identify novel mutations that may be driving malignant progression.
METHODS: MED12 and the TERT promoter were Sanger sequenced in 75 primary PTs, 21 recurrences, 19 single FAs and 2 cases of multiple FAs with benign PTs. Whole-exome sequencing was performed on one borderline PT.
RESULTS: Recurrent PTs and multiple FAs showed temporal discordance in MED12 but not TERT. Recurrent samples did acquire TERT mutations, with recurrent benign PTs more likely to have mutations in both genes. TERT mutations were not helpful in differentiating between benign PTs and FAs in cases of multiple FAs/PTs. Exome sequencing revealed a nonsense mutation in RBM15 and Sanger sequencing revealed another three RBM15 mutations in malignant/borderline PTs.
CONCLUSIONS: This study has shown that MED12 mutations can be heterogeneous in both synchronous and recurrent PTs unlike TERT mutations. We have also shown that RBM15 mutations may be important in the pathogenesis of borderline/malignant PTs.

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Year:  2018        PMID: 29315289      PMCID: PMC5785756          DOI: 10.1038/bjc.2017.450

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Phyllodes tumours (PTs) are rare fibroepithelial neoplasms of the breast composed of both stromal and epithelial elements similar to fibroadenomas (FAs) but with a more cellular stromal element. Histologically, PTs are classified as benign, borderline or malignant on the basis of stromal cellularity, nuclear atypia, mitotic activity, stromal overgrowth and type of border (infiltrating or pushing) (Lakhani ). Borderline PTs have some but not all of the features of malignant PTs. Unlike FAs, PTs can recur locally and metastasise as sarcoma. Stromal atypia, mitoses, overgrowth and surgical margin status have been shown to be independent predictors of local recurrence (Tan ). Most recurrent benign and borderline tumours are histologically similar to the primary neoplasms but can be more cellular, and malignant transformation has been described (Jones ). Recent sequencing studies have shown that MED12 exon 2 mutations occur in approximately 70% of PTs and FAs (Cani ; Nagasawa ; Yoshida ; Lien ). Some studies suggest that the frequency is similar across both FAs and all grades of PTs (Cani ; Yoshida , Nagasawa ; Lien ) and others that they are less frequent in malignant PTs (Pfarr ; Piscuoglio ) and FAs (Ng ). This variation may be due to the type of FAs included in the series as two studies have shown MED12 mutations are more common in intracanalicular than pericanalicular FAs (Yoshida , 2015b; Mishima ). In both PTs and FAs, mutations are confined to the stromal component (Yoshida , 2015b; Mishima ). PTs with MED12 mutations tend to have lower recurrence rates than PTs without MED12 mutations (Ng ; Yoon ). MED12 exon 2 mutation can also help distinguish PTs from other spindle neoplasms of the breast, such as sarcomas (Lien ). The finding in some studies that MED12 mutations are less frequent in malignant PTs suggests that these tumours may be driven by other genetic events. Exome and targeted sequencing studies of malignant PTs have shown that they harbour recurrent mutations in the TERT promoter, TP53, RB1, EGFR, PIK3CA, FGFR1, SETD2 and KMT2D (Tan ; Gatalica ; Liu ), with TERT promoter mutations being the most frequent, occurring in ∼70% of malignant/borderline PTs. TERT promoter mutations are also found in benign PTs (∼50%) but are not as frequent as in malignant/borderline PTs (Yoshida ; Piscuoglio ). They are rare in FAs (0–7%), suggesting that these mutations drive the progression of PTs. It has also been suggested that TERT mutations may be useful in distinguishing between benign PTs and cellular FAs (Tan ), particularly in rare cases of multiple recurrent FAs where benign PTs have occasionally been described (Courtillot ). TERT mutations can co-exist with MED12 mutations and similar to MED12 mutations are restricted to the stromal component (Yoshida ; Piscuoglio ). The aims of this study were to: assess MED12 and TERT promoter mutations in a series of recurrent PTs; assess whether TERT mutations could be helpful in distinguishing FAs from PTs in patients with synchronous/metachronous multiple FAs and PTs; and identify novel mutations in other genes that may be driving malignant progression of PTs.

Materials and methods

Sample collection

Formalin-fixed, paraffin-embedded tissue (FFPE) was obtained from 75 primary PTs and any ipsilateral recurrences together with two cases of multiple FAs that had developed benign PTs from 15 centres across the United Kingdom with ethical approval (MREC No. 03/12/083) and informed consent. Eleven cases had paired germline DNA extracted from blood samples. H&E-stained slides of each case were reviewed by a single histopathologist (AH) to confirm the diagnosis and DNA was extracted as previously described (Jones ). Nineteen FAs (FFPE) and one fresh-frozen borderline PT were provided by the KHP Cancer Biobank (NHS REC ref. 12-EE-0493).

Sanger sequencing

The promoter region of TERT was amplified by PCR as previously described (Yoshida ) using the following primers: 5′-CAGCGCTGCCTGAAACTC-3′ and 5′-GTCCTGCCCCTTCACCTT-3′. MED12 primers, targeting exon 2, were designed with the online tool Primer3: 5′-TGTTCTACACGGAACCCTCCTC-3′ and 5′-CTGGGCAAATGCCAATGAGAT-3′. Primers for the entire RBM15 gene followed the same design and are listed in Supplementary Table 1. Sanger sequencing was performed in a 3730xl DNA Analyser (ThermoFisher, Waltham, MA, USA) according to the manufacturer’s protocol. The analysis of the electropherograms was performed in the openly available 4peaks software.

Exome sequencing

A library was prepared from tumour and paired constitutional DNA using the SureSelect Human All Exon 50 Mb kit (Agilent, Santa Clara, CA, USA) and sequenced on Illumina HiSeq 2000 (San Diego, CA, USA) to a mean depth of >100 ×. Subsequent analysis was performed using our in-house pipeline; in brief, sequencing reads were aligned to the reference human genome hg19 using NovoAlign (http://www.novocraft.com/products/novoalign/), Samtools (http://www.samtools.sourceforge.net/) was used to create a pileup file and VarScan2 (http://www.varscan.sourceforge.net/) was used to call somatic mutations and indels that were annotated using ANNOVAR (http://annovar.openbioinformatics.org/en/latest/) and cross referenced with dbSNP and 1000 Genomes. Somatic mutations were called if there was a minimum of 30 × coverage and the mutation was present in at least 10% of reads.

Results

Seventy-five primary PTs (27 malignant, 22 borderline, 26 benign) were studied, of which 21 had recurred at least once (Table 1, Supplementary Table 2). Of the 21 recurrent cases, nine were benign (one of which recurred as a borderline PT), five were borderline (three of which recurred as malignant PTs) and seven were malignant. Nineteen FAs were also analysed.
Table 1

Detailed table of recurrences and their MED12 and TERT promoter mutations

Sample ID Gene Primary subtype Primary mutation Recurrence 1 subtype Recurrence 1 mutation Recurrence 2 subtype Recurrence 2 mutation
1MED12MNoMNo  
 TERTMc.-124C>TMc.-124C>T  
2MED12MNoMNo  
 TERTMNoMNo  
3MED12MNoMNoMNo
 TERTMNoMc.-124C>TMc.-124C>T
4MED12Mc.131G>AMNo  
 TERTMNoMNo  
5MED12MNoMNo  
 TERTMNoMNo  
6MED12MNoMNo  
 TERTMNoMNo  
7MED12MNoMNo  
 TERTMNoMNo  
8MED12BoNoMNo  
 TERTBoc.-124C>TMc.-124C>T  
9MED12BoNoMc.100-13T>C  
 TERTBoNoMNo  
10MED12BoNoMNo  
 TERTBoNoMc.-124C>T  
11MED12BoNoBoNo  
 TERTBoNoBoNo  
12MED12BoNoBoNo  
 TERTBoNoBoNo  
13MED12BNoBc.138_164del27BFail
 TERTBc.-124C>TBc.-124C>TBFail
14MED12BNoBNo  
 TERTBNoBNo  
15MED12Bc.123_152del30 and c.119A>TBc.123_152del30 and c.119A>T  
 TERTBNoBc.-124C>T  
16MED12BNoBoNo  
 TERTBNoBoNo  
17MED12Bc.131G>CBc.128A>C, 129A>G, c.131G>C, c.133_152del30  
 TERTBc.-124C>TBc.-124C>T  
18MED12BNoBc.120_146del27Bc.113_151del39
 TERTBc.-124C>TBc.-124C>TBc.-124C>T
19MED12BNoBc.122_148_del27Bc.122_148_del27
 TERTBc.-124C>TBc.-124C>TBc.-124C>T
20MED12Bc.124_156del33BNo  
 TERTBNoBNo  
21MED12BNoBc.148G>A and c.133_147del15  
 TERTBNoBc.-124C>T  

Abbreviations: B=benign; Bo=borderline; M=malignant.

Frequency of MED12 mutations

MED12 mutations occurred in 22, 27, 54 and 21% of malignant, borderline and benign PTs and FAs, respectively (Table 2). MED12 mutations were more common in benign PTs compared with malignant/borderline (P=0.02, Fisher’s Exact Test).
Table 2

Frequency of MED12 and TERT promoter mutations in recurrent and non-recurrent phyllodes tumours and fibroadenomas

  Malignant PTs
Borderline PTs
Benign PTs
Fibroadenomas
Mutation All cases ( n =27) Cases that did not recur ( n =20) Cases that did recur ( n =7) All ( n =22) Cases that did not recur ( n =17) Cases that did recur ( n =5) All ( n =26) Cases that did not recur ( n =17) Cases that did recur ( n =9) (n=19)
MED12 exon 2 mutations6 (22%)516 (27%)6014 (54%)1134 (21%)
TERT promoter mutations13 (48%)12112 (55%)1118 (31%)440

Abbreviation: PT=phyllodes tumour.

MED12 mutations in recurrent PTs

Although MED12 mutations appeared less common in PTs that recurred (19%) compared with those that did not (41%); this difference was not statistically significant (P=0.1, Fisher’s Exact Test; Table 2). In the four primary tumours with MED12 mutations that did recur, two had the same MED12 mutation in the paired recurrent tumour (one had two MED12 mutations and both were seen in the recurrent sample), but in the other two cases (one malignant, one benign), there was no evidence of the original MED12 mutation in the recurrence. There was also evidence of recurrent tumours acquiring MED12 mutations. Four cases (three benign, one borderline) with no evidence of a MED12 mutation in the primary PT did have MED12 mutations in the recurrent tumours (Table 1). Similarly, in three cases that developed a second recurrence, none had a MED12 mutation in the primary, two had a MED12 mutation in the first recurrence, and of these, one had the same MED12 mutation in the second recurrence and the other a different MED12 mutation.

Multiple MED12 mutations in the same lesion

We also found evidence of multiple MED12 mutations in the same lesions (Supplementary Table 3). Five primary PTs (one of which recurred and both mutations were found in the recurrence) and another two recurrences had multiple (2–4) MED12 mutations. Of these two recurrences, one had no evidence of MED12 mutations in the primary and the other had a single MED12 mutations in the primary lesion and then acquired another three mutations in the recurrence. All cases with multiple MED12 mutations were benign.

Frequency of TERT promoter mutations

TERT promoter mutations occurred in 48, 55, 31 and 0% of malignant, borderline, and benign PTs and FAs, respectively (Table 2). There was no significant difference in the frequency of TERT mutations between the different subtypes of PT, but as expected a clear difference between PTs and FAs (P=0.0001, Fisher’s Exact Test).

TERT promoter mutations in recurrent PTs

Similar to MED12, there was no evidence that TERT promoter mutations were more or less common in cases that recurred (28% recurrent vs 50% non-recurrent). However unlike MED12 all seven of the primary PTs with a TERT promoter mutation that recurred showed evidence of the mutation in the paired recurrence. Of those, three (benign) had a second recurrence, which also had evidence of the mutation. There was also evidence of recurrent tumours acquiring TERT promoter mutations with four (one malignant, one borderline and two benign) acquiring a TERT promoter mutation in the first recurrence and again this was also found in subsequent recurrences (Table 1).

Analysis of two cases of multiple FAs and PTs

In order to assess whether TERT promoter mutations could be useful in distinguishing between benign PTs and FAs in patients with multiple FAs, we analysed cases from two young women who developed bilateral multiple recurrent FAs and subsequently developed benign PTs (Supplementary Figure 1). The first, aged 22 years, developed multiple bilateral FAs over a period of 3 years and was diagnosed with benign PTs on the fourth recurrence. Nine lesions (7 FAs and 2 PTs) were examined from the 4-year period and none showed any evidence of TERT mutations. At the fourth recurrence, MED12 mutations were identified in one cellular FA (c.130G>A) and one benign PT (c.130G>A and c.136_150del15). The second case occurred in a 20-year-old with bilateral multiple FAs that started to increase in size and so were excised and found to be a cellular FA and two benign PTs. Sequencing of each lesion showed no TERT mutations and a different MED12 mutation in each of the lesions (c.107T>G, c.131G>A and c.100-8T>A).

Novel drivers of malignant and borderline PTs

In an attempt to identify other drivers of malignant and borderline PTs, we performed whole-exome sequencing of a single borderline case who had DNA available from fresh-frozen tumour and blood. Eighteen somatic mutations were identified but no MED12 mutation (Table 3). The mutations were ranked according to the variant allele frequency within the tumour, on the assumption that those with a frequency of ∼50% were less likely to be subclonal and more likely to be driver mutations. Five mutations with a variant frequency of 40–64% were identified and verified by Sanger sequencing in DNA extracted from FFPE material from the same tumour. Only one of these genes, RBM15, had previously been identified as harbouring a mutation in a PT (Tan ; borderline PT with a frameshift RBM15 mutation, c.598_601delGTAA). We therefore chose to Sanger sequence this gene in another 27 malignant, 17 borderline (including one recurrent sample) and 16 benign (including five recurrent samples) and found another three different mutations, two in malignant PTs and one in a borderline PT (Table 4, Figure 1, Supplementary Figure 2).
Table 3

Somatic mutations identified by whole exome sequencing of a single borderline phyllodes tumour

Chrom Gene Site of mutation Annotation % of reads with mutation
chr1 RBM15 ExonicRBM15:NM_001201545:exon1:c.A583T:p.K195X: stopgain64.20%
chr1VASH2SplicingVASH2:NM_024749:exon4:c.366-1G>C61.54%
chr11ROBO3SplicingROBO3:NM_022370:exon12:c.1785-4G>T44.44%
chr11TRIM49CExonicTRIM49C:NM_001195234:exon3:c.T185C:p.I62T41.63%
chr3CAND2ExonicCAND2:NM_001162499:exon10:c.A2030G:p.D677G40.23%
chr15PLA2G4FExonicPLA2G4F:NM_213600:exon1:c.27delG: frameshift deletion37.88%
chr2NEBExonicNEB:NM_001164507:exon37:c.G4182T:p.K1394N35.97%
chr10ENKURExonicENKUR:NM_145010:exon2:c.T198A:p.H66Q,35.26%
chr1YIPF1ExonicYIPF1:NM_018982:exon4:c.T89C:p.I30T,34.45%
chr5PCDHA11ExonicPCDHA11:NM_031861:exon1:c.C1446A:p.D482E32.03%
chrXFAM58AExonicUnknown21.86%
chr12LIMA1SplicingLIMA1:NM_016357:exon9:c.973-3G>-20.83%
chr1CACNA1SSplicingCACNA1S:NM_000069:exon5:c.399-6T>C17.43%
chr15ZNF280DSplicingZNF280D:NM_017661:exon11:c.781-8C>-16.28%
chr14RALGAPA1SplicingRALGAPA1:NM_014990:exon11:c.1012-8G>-,15.58%
chr19SSC5DExonicSSC5D:NM_001144950:exon14:c.T4361C:p.L1454P15.38%
chr11BRSK2ExonicBRSK2:NM_001256630:exon1:c.A17C:p.H6P,15.15%
chr20BCAS4ExonicBCAS4:NM_198799:exon2:c.T191G:p.V64G15%
Table 4

RBM15 mutations

Sample ID Histopath subtype Mutation DNA Mutation AA DANN a score CADD b score
22Borderlinec.583A>Tp.195K>a0.99926.3
23Malignantc.1924C>Tp.642R>a0.99536
24Borderlinec.715delGp.239V>fsa1NA (del)NA (del)
25Malignantc.2344C>Tp.782P>S0.88611.13

Abbreviations: NA=not applicable.

DANN (https://doi.org/10.1093/bioinformatics/btu703) uses a 0–1, scale. Score ⩾0.96 identifies 92% of the true positive pathogenic variations, with 18.1% false positive benign variations.

CADD (cadd.gs.washington.edu/). A scaled CADD score of 20 means that a variant is among the top 1% of deleterious variants in the human genome. Scaled CADD score of 30 means that the variant is in the top 0.1%.

Figure 1

(A) Sample 23 (c.1924 C>T, p.R642*). (B) Sample 24 (c.715delG, p.V239fs*1) – correct sequence shown above, shifted sequence shown below (reverse sequence shown in Supplementary Figure 2). (C) Sample 25 (c.2344C>T, p.P782S).

Discussion

MED12 and TERT promoter mutations have previously been shown to be the most common mutations in PTs. This study, similar to others (Table 5A), has shown that MED12 mutations are more common in benign PTs than malignant and borderline PTs and TERT promoter mutations are rare in FAs. By analysing paired primaries and recurrences, we have been able to assess whether these mutations are also present in paired recurrences or whether there is evidence of temporal heterogeneity. We have demonstrated that MED12 is frequently heterogeneous between lesions from the same patient, in contrast to TERT promoter mutation that are consistently found in paired recurrences, including those with multiple recurrences. Lae ) also demonstrated temporal heterogeneity within MED12 (they did not assess TERT). In their study, the heterogeneous recurrences had different MED12 mutations from the primary case, this occurred in one of our recurrent cases (a second benign recurrence) but the remainder (one benign, one malignant) lacked a MED12 mutation in the paired recurrent sample, suggesting that they were either new primaries or had arisen from a subclone within the primary PT that did not contain the MED12 mutation. Unlike Lae ), we also have evidence of four cases of wild-type MED12 primaries acquiring MED12 mutations in the second event (three benign, one borderline) and of benign PTs harbouring multiple (2–4) MED12 mutations in the same lesion. As Sanger sequencing will only detect clonal mutations, we cannot exclude the possibility that it was a subclonal mutation in the primary tumour which we cannot detect. These findings suggest that MED12 are not only just early events in fibroepithelial tumours but also provide some growth advantage in established benign PTs.
Table 5A

Summary of previous published data on MED12 mutations in FAs and PTs

Publication Number of PTs in the study Frequency in FAs Frequency in benign PTs Frequency in Bo PTs Frequency in malignant PTs Frequency in PTs that recurred vs none recurrent cases Evidence of temporal heterogeneity in recurrent PTs Evidence of acquisition of mutations in recurrent PTs Evidence of heterogeneity in synchronous PTs/FAs
Lae et al (2016) 83 primary 14 recurrences70%58.3%63.3%27.6%50% vs 49%Yes 3/6 recurrences had different MED12 mutations compared with primary tumourNoNA
Cani et al (2015) 15NA80%80%40%NANANANA
Lien et al (2016a)4947.1%72.7%70.6%70%NANANANA
Liu et al (2016) 30NANANA30%NANANANA
Mishima et al (2015) 24 primary 2 recurrences47%80%67%0%50% vs 82%NoNoYes: 6 cases
Nagasawa et al (2015) 1167%NANANANANANANA
Ng et al (2015) 112 primary 10 recurrences59%65.1%65.6%42.8%Higher recurrence likelihood in those without MED12 mutationsNANANA
Pfarr et al (2015) 1662%73%NA20%NANANANA
Piscuoglio et al (2015) 4765%88%78%8%NANANAYes: 4 cases
Piscuoglio et al (2016) 76NA80%64%23%NANANANA
Tan et al (2015) 7986%82%63%60%NANANANo: 1 case
Yoon et al (2016) 176 number of recurrences not stated 71.4%51%26.9%MED12 mutations associated with a non-significant improvement in DFSNANANA
Yoshida M et al (2015)4662%83%80%77%NANANANA
Current study75 primary 21 recurrences21%54%27%22%19 vs 41%YesYesYes

Abbreviations: DFS=disease-free survival; FA=fibroadenoma; NA=not assessed; PT=phyllodes tumour.

A number of recurrences also acquired TERT promoter mutations, (4 cases – 2 benign and 2 malignant). In the series of PTs described by Yoshida et al 2015b; TERT and MED12 mutations were frequently found together (Table 5B). We did not see this in the primary cases, 41% of PTs with TERT promoter mutations harboured MED12 mutations, which is similar to (Piscuoglio ) (52%) and (Liu ) (50%). However, in the recurrent samples TERT and MED12 mutations frequently co-occured (P=0.05, Fisher’s Exact test), particularly in benign cases where acquisition of MED12 and TERT promoter mutations resulted in six out of nine benign recurrences having both a TERT and MED12 mutation compared with one out of nine of their paired primary samples. In contrast, none of the malignant/borderline recurrences had mutations in both genes. This suggests that although they can co-exist TERT promoter mutations are not dependent on MED12 mutations. As postulated by (Piscuoglio et al, 2016) TERT promoter mutations may allow the stroma of PTs to undergo more cycles of cell division and thus increase the chance of them acquiring a driver mutation.
Table 5B

Summary of previous published data on TERT promoter mutations in FAs and PTs

Publication Number of PTs in the study Frequency in FAs Frequency in benign PTs Frequency in Bo PTs Frequency in malignant PTs Frequency in PTs that recurred vs none recurrent cases Evidence of acquisition of mutations in recurrent PTs Evidence of heterogeneity in synchronous PTs/FAs
Liu et al (2016) 30NA0%33%60%NANANA
Piscuoglio et al (2016) 76NA18%57%68%NANANA
(Yoshida et al 2015a, 2015b)467%50%87%62%NANANA
Current study75 primary 21 recurrences0%31%55%48%28 vs 50%YesNo

Abbreviations: FA=fibroadenoma; NA=not assessed; PT=phyllodes tumour.

The lack of TERT promoter mutations in FAs has led some authors to suggest that this mutation may be useful for distinguishing between FAs and benign PTs in rare cases of multiple FAs and benign PTs. In two such cases, we found no evidence of TERT promoter mutations in either the FAs or benign PTs. The analysis of these multiple tumour cases once again demonstrated heterogeneity of MED12. In the first case, no MED12 mutation was present in the initial FAs and only appeared at the time of the fourth recurrence when a cellular FA and benign PT were diagnosed on histology – the presence of the same mutation suggested a common clonal origin, although the PT had also acquired a second MED12 mutation. In contrast, in the second case (a cellular FA and two benign PTs), all three lesions had different MED12 mutations, suggesting that they arose independently (Supplementary Figure 1). The mechanism through which MED12 mutations confer a growth advantage to FAs and benign PTs is not clear. MED12 mutations are also frequent in uterine leiomyomas but less so in uterine leiomyosarcomas (Ravegnini ). A possible explanation for this is that MED12 mutations drive benign proliferation of smooth muscle and stroma in the uterus and breast, respectively, resulting in leiomyomas and FAs/benign PTs. In rare cases, these benign lesions progress to leiomyosarcoma and malignant PTs, but the majority of these malignant tumours arise de novo and therefore do not have MED12 mutations. The exome sequencing of the single borderline PT with fresh-frozen tissue did not reveal any MED12 mutation and no TERT promoter mutation was found on Sanger Sequencing, but it did identify mutations in 18 genes, none of which had been previously identified as driver mutations in any type of cancer. The most frequent variant in this PT was a nonsense mutation in RBM15, an RNA-binding protein on 1p13.3 involved in regulating splicing of GATA1 and RUNX transcription factors in megakaryocyte differentiation and translocated in infant acute megakaryocytic leukaemia (Tran ). Interestingly, previously published array CGH data of this tumour (Jones ) showed loss in this region (1:105666811-117575143, GRCh37/hg19), Supplementary Figure 3. A frameshift mutation (c.598_601delGTAA) in RBM15 was also detected by exome sequencing by (Tan ) in a borderline PT but was not remarked upon as a possible driver gene. All other PT sequencing studies have used targeted sequencing panels that have not included RBM15. Sanger sequencing of our tumour series identified a further three RBM15 mutations in malignant/borderline PTs, two of which were nonsense or frameshift changes and one of which was a missense mutation, not predicted to be deleterious but located at the start of a highly conserved C-terminal SPOC (Spen paralog and ortholog C-terminal) domain. One hundred and sixty-six mutations in RBM15 have been catalogued in COSMIC (http://cancer.sanger.ac.uk/cosmic), of which only 10 are nonsense and occur in a variety of solid tumours, including bladder, head and neck, colorectal, stomach, prostate and pancreas. As well as being involved in the development of megakaryocytic leukaemia, RBM15 is an important factor in X chromosome silencing (Moindrot ) and has been shown to be expressed in mammary tissue (https://www.gtexportal.org/home/). It is therefore not unreasonable to suggest that a truncated or absent RBM15 protein may confer a growth advantage in PTs. Of the five RBM15 mutations that have now been described in PTs (four in this study, one by Tan ), three occurred in malignant/borderline PTs that did not harbour MED12 or TERT promoter mutations. Previous literature also suggests that PIK3CA mutations are more common in PTs that do not harbour MED12 mutations (Tan ; Piscuoglio ; Liu ). In contrast, RARA mutations were more frequent in samples with MED12 and TERT promoter mutations (Tan ; Piscuoglio ) and thus may provide a selective advantage when TERT/MED12 are mutated. In conclusion, we have shown that, although MED12 mutations are common in both benign PTs and FAs, suggesting that they are sometimes early events in fibroepithelial lesions of the breast, they can be discordant in recurrent PTs, particularly in benign cases where they can be lost or acquired with some cases carrying multiple mutations in MED12. There was less evidence of temporal heterogeneity in TERT promoter mutations, but recurrent samples did acquire TERT promoter mutations, supporting previous data from our laboratory that recurrent samples often acquired new genetic changes (Jones ). Through exome sequencing of a single malignant PT, we have shown that RBM15 may be a novel driver mutation in malignant/borderline PTs at a frequency of 7%, but this requires further validation in additional sample sets. In order to identify other drivers of malignant PTs, further analysis of these unusual tumours would be better carried out through exome or whole-genome sequencing rather than targeted sequencing in order to detect mutations in genes not currently known to be drivers of solid cancers.
  22 in total

1.  Distribution of MED12 mutations in fibroadenomas and phyllodes tumors of the breast--implications for tumor biology and pathological diagnosis.

Authors:  Nicole Pfarr; Mark Kriegsmann; Peter Sinn; Frederick Klauschen; Volker Endris; Esther Herpel; Alexander Muckenhuber; Moritz Jesinghaus; Bernd Klosterhalfen; Roland Penzel; Jochen K Lennerz; Wilko Weichert; Albrecht Stenzinger
Journal:  Genes Chromosomes Cancer       Date:  2015-04-30       Impact factor: 5.006

2.  Genomic landscapes of breast fibroepithelial tumors.

Authors:  Jing Tan; Choon Kiat Ong; Weng Khong Lim; Cedric Chuan Young Ng; Aye Aye Thike; Ley Moy Ng; Vikneswari Rajasegaran; Swe Swe Myint; Sanjanaa Nagarajan; Saranya Thangaraju; Sucharita Dey; Nur Diyana Md Nasir; Giovani Claresta Wijaya; Jing Quan Lim; Dachuan Huang; Zhimei Li; Bernice Huimin Wong; Jason Yong Sheng Chan; John R McPherson; Ioana Cutcutache; Gregory Poore; Su Ting Tay; Wai Jin Tan; Thomas Choudary Putti; Buhari Shaik Ahmad; Philip Iau; Ching Wan Chan; Anthony P H Tang; Wei Sean Yong; Preetha Madhukumar; Gay Hui Ho; Veronique Kiak Mien Tan; Chow Yin Wong; Mikael Hartman; Kong Wee Ong; Benita K T Tan; Steven G Rozen; Patrick Tan; Puay Hoon Tan; Bin Tean Teh
Journal:  Nat Genet       Date:  2015-10-05       Impact factor: 38.330

3.  Characterization of two constitutively active prolactin receptor variants in a cohort of 95 women with multiple breast fibroadenomas.

Authors:  Carine Courtillot; Zeina Chakhtoura; Roman Bogorad; Catherine Genestie; Sophie Bernichtein; Yasmina Badachi; Gilbert Janaud; Jean-Pierre Akakpo; Anne Bachelot; Frédérique Kuttenn; Vincent Goffin; Philippe Touraine
Journal:  J Clin Endocrinol Metab       Date:  2009-11-06       Impact factor: 5.958

4.  Genomic profiling of malignant phyllodes tumors reveals aberrations in FGFR1 and PI-3 kinase/RAS signaling pathways and provides insights into intratumoral heterogeneity.

Authors:  Su-Yang Liu; Nancy M Joseph; Ajay Ravindranathan; Bradley A Stohr; Nancy Y Greenland; Poonam Vohra; Elizabeth Hosfield; Iwei Yeh; Eric Talevich; Courtney Onodera; Jessica A Van Ziffle; James P Grenert; Boris C Bastian; Yunn-Yi Chen; Gregor Krings
Journal:  Mod Pathol       Date:  2016-06-03       Impact factor: 7.842

5.  The AS-RBM15 lncRNA enhances RBM15 protein translation during megakaryocyte differentiation.

Authors:  Ngoc-Tung Tran; Hairui Su; Alireza Khodadadi-Jamayran; Shan Lin; Li Zhang; Dewang Zhou; Kevin M Pawlik; Tim M Townes; Yabing Chen; James C Mulloy; Xinyang Zhao
Journal:  EMBO Rep       Date:  2016-04-26       Impact factor: 8.807

6.  Massively parallel sequencing of phyllodes tumours of the breast reveals actionable mutations, and TERT promoter hotspot mutations and TERT gene amplification as likely drivers of progression.

Authors:  Salvatore Piscuoglio; Charlotte Ky Ng; Melissa Murray; Kathleen A Burke; Marcia Edelweiss; Felipe C Geyer; Gabriel S Macedo; Akiko Inagaki; Anastasios D Papanastasiou; Luciano G Martelotto; Caterina Marchio; Raymond S Lim; Rafael A Ioris; Pooja K Nahar; Ino De Bruijn; Lillian Smyth; Muzaffar Akram; Dara Ross; John H Petrini; Larry Norton; David B Solit; Jose Baselga; Edi Brogi; Marc Ladanyi; Britta Weigelt; Jorge S Reis-Filho
Journal:  J Pathol       Date:  2016-01-25       Impact factor: 7.996

7.  MED12 exon 2 mutations in phyllodes tumors of the breast.

Authors:  Satoi Nagasawa; Ichiro Maeda; Takayo Fukuda; Wenwen Wu; Ryosuke Hayami; Yasuyuki Kojima; Ko-Ichiro Tsugawa; Tomohiko Ohta
Journal:  Cancer Med       Date:  2015-04-13       Impact factor: 4.452

8.  A Pooled shRNA Screen Identifies Rbm15, Spen, and Wtap as Factors Required for Xist RNA-Mediated Silencing.

Authors:  Benoit Moindrot; Andrea Cerase; Heather Coker; Osamu Masui; Anne Grijzenhout; Greta Pintacuda; Lothar Schermelleh; Tatyana B Nesterova; Neil Brockdorff
Journal:  Cell Rep       Date:  2015-07-16       Impact factor: 9.423

9.  Frequent MED12 mutations in phyllodes tumours of the breast.

Authors:  M Yoshida; S Sekine; R Ogawa; H Yoshida; A Maeshima; Y Kanai; T Kinoshita; A Ochiai
Journal:  Br J Cancer       Date:  2015-04-02       Impact factor: 7.640

10.  MED12 mutations in breast phyllodes tumors: evidence of temporal tumoral heterogeneity and identification of associated critical signaling pathways.

Authors:  Marick Laé; Sophie Gardrat; Sophie Rondeau; Camille Richardot; Martial Caly; Walid Chemlali; Sophie Vacher; Jérôme Couturier; Odette Mariani; Philippe Terrier; Ivan Bièche
Journal:  Oncotarget       Date:  2016-12-20
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  11 in total

Review 1.  Fibroepithelial tumours of the breast-a review.

Authors:  Melinda F Lerwill; Andrew H S Lee; Puay Hoon Tan
Journal:  Virchows Arch       Date:  2021-09-10       Impact factor: 4.064

Review 2.  Fibroepithelial lesions revisited: implications for diagnosis and management.

Authors:  Puay Hoon Tan
Journal:  Mod Pathol       Date:  2020-05-27       Impact factor: 7.842

3.  SETD2 alterations and histone H3K36 trimethylation in phyllodes tumor of breast.

Authors:  Julia Y Tsang; Sui-Ting Lai; Yun-Bi Ni; Yan Shao; Ivan K Poon; Johnny S Kwan; Chit Chow; Ka-Ho Shea; Gary M Tse
Journal:  Breast Cancer Res Treat       Date:  2021-04-12       Impact factor: 4.872

4.  Clinicopathologic and genetic features of metaplastic breast cancer with osseous differentiation: a series of 6 cases.

Authors:  Xue Chao; Wanlin Tan; Julia Y Tsang; Gary M Tse; Jintao Hu; Ping Li; Jinghui Hou; Mei Li; Jiehua He; Peng Sun
Journal:  Breast Cancer       Date:  2021-05-03       Impact factor: 4.239

5.  Droplet-digital PCR reveals frequent mutations in TERT promoter region in breast fibroadenomas and phyllodes tumours, irrespective of the presence of MED12 mutations.

Authors:  Kazutaka Otsuji; Takeshi Sasaki; Masahiko Tanabe; Yasuyuki Seto
Journal:  Br J Cancer       Date:  2020-10-13       Impact factor: 7.640

6.  Retrospective study of malignant phyllodes tumors of the breast: Younger age, prior fibroadenoma surgery, malignant heterologous elements and surgical margins may predict recurrence.

Authors:  Yang Li; Yixuan Song; Ronggang Lang; Lu Shi; Shuang Gao; Hong Liu; Ping Wang
Journal:  Breast       Date:  2021-03-17       Impact factor: 4.380

Review 7.  Malignant Phyllodes Tumor of the Breast: A Practice Review.

Authors:  Ângelo Bezerra de Souza Fede; Ronaldo Pereira Souza; Mauricio Doi; Marina De Brot; Cynthia Aparecida Bueno de Toledo Osorio; Guilherme Rocha Melo Gondim; Jose Claudio Casali-da-Rocha; Rima Jbili; Almir Galvao Vieira Bitencourt; Juliana Alves de Souza; Rafael Caparica Bitton; Fabiana Baroni Alves Makdissi; Solange Moraes Sanches
Journal:  Clin Pract       Date:  2021-04-06

8.  Genome-wide screens identify specific drivers of mutant hTERT promoters.

Authors:  Raghuvaran Shanmugam; Mert Burak Ozturk; Joo-Leng Low; Semih Can Akincilar; Joelle Yi Heng Chua; Matan Thangavelu Thangavelu; Giridharan Periyasamy; Ramanuj DasGupta; Vinay Tergaonkar
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-18       Impact factor: 12.779

9.  Construction and validation of m6 A RNA methylation regulators associated prognostic model for gastrointestinal cancer.

Authors:  Yandong Miao; Bin Su; Xiaolong Tang; Jiangtao Wang; Wuxia Quan; Yonggang Chen; Denghai Mi
Journal:  IET Syst Biol       Date:  2022-02-17       Impact factor: 1.615

10.  Genetic differences between benign phyllodes tumors and fibroadenomas revealed through targeted next generation sequencing.

Authors:  Cedric Chuan Young Ng; Nur Diyana Md Nasir; Benjamin Nathanael Loke; Timothy Kwang Yong Tay; Aye Aye Thike; Vikneswari Rajasegaran; Wei Liu; Jing Yi Lee; Peiyong Guan; Abner Herbert Lim; Kenneth Tou En Chang; Mihir Ananta Gudi; Preetha Madhukumar; Benita Kiat Tee Tan; Veronique Kiak Mien Tan; Chow Yin Wong; Wei Sean Yong; Gay Hui Ho; Kong Wee Ong; George Wai Cheong Yip; Boon Huat Bay; Patrick Tan; Bin Tean Teh; Puay Hoon Tan
Journal:  Mod Pathol       Date:  2021-03-16       Impact factor: 7.842

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