Abstract
The mechanisms involved with the pathogenesis of carcinoma ex pleomorphic adenoma (CXPA) seem to be associated with the accumulation of molecular alterations in the pleomorphic adenoma (PA). In this sense, using array-based comparative genomic hybridization (aCGH) a rare series of 27 cases of CXPA and 14 residual PA (rPA) adjacent to the transformation area, we investigated the profile of the copy number alterations (CNAs) comparing benign residual and transformed areas. The main findings were correlated with the histopathological classification by histologic subtype and degree of invasion. The distribution of losses (p = 0.187) and amplifications (p = 0.172) was not statistically different between rPA and CXPA. The number of gains was increased in the transformed areas compared to the benign residual areas (p = 0.005). PLAG1 gain was maintained along the malignant transformation, as it was observed in both residual PA and CXPA samples, likely being an earlier event during transformation. The amplification of GRB7 and ERBB2 may also be an initial step in the malignant transformation of PA to CXPA (salivary duct carcinoma subtype). Furthermore, the amplification of HMGA2 and RPSAP52 were the most prevalent alterations among the studied samples. It was noteworthy that amplified genes in the transformed areas of the tumors were enriched for biological processes related to immune signaling. In conclusion, our results underscored for the first-time crucial CNAs in CXPA, some of them shared with the residual benign area adjacent to the transformation site. These CNAs included PLAG1 gain, as well as amplification of GRB7, ERBB2, HMGA2, and RPSAP52.
Keywords: Array-based comparative genomic hybridization, Copy number alteration, Gene, Carcinoma ex pleomorphic adenoma, Pleomorphic adenoma
Subject terms: Cancer, Cancer genetics, Cancer genomics, Head and neck cancer, Tumour biomarkers, Tumour heterogeneity, Cancer
Introduction
Carcinoma ex pleomorphic adenoma (CXPA), a tumor resulting from the malignant transformation of pleomorphic adenoma (PA), is a rare and aggressive tumor. Its pathogenesis has attracted considerable research interest over the past two decades1–8. By definition, CXPA must show histologic evidence of coexisting residual benign areas (residual PA-rPA) or pre-existing tumor (prior histologic diagnosis of PA in the patient’s medical history). The diagnosis of CXPA is not self-sufficient and should include the carcinomatous phenotype developed in the transformed carcinoma and the extent of capsule invasion of the rPA9.
Regarding the malignant area, carcinomas composed of luminal cells only are more likely to develop within a PA, typically adenocarcinoma not otherwise specified (AdNOS) or salivary duct carcinoma (SDC). CXPA with a myoepithelial component has also been reported, notably myoepithelial carcinoma (MC) and epithelial–myoepithelial carcinoma (EMEC)2,3. Other less common subtypes include squamous cell carcinoma (SCC), sarcomatoid carcinoma (SC), mucoepidermoid carcinoma (MEC), and adenoid cystic carcinoma (AdCC)10. In terms of invasion, the most widely accepted classification defines intracapsular CXPA (iCXPA) as a tumor with neoplastic cells confined to the capsule, minimally invasive CXPA (mCXPA) as tumor extension up to 1.5 mm into extracapsular tissues, and frankly invasive CXPA (fCXPA) as a tumor with extracapsular invasion greater than 1.5 mm10.
Taken together, the mechanisms involved in the pathogenesis of CXPA, regardless of histologic subtype or degree of invasion, appear to be related to the accumulation of molecular alterations in the PA. PAs are characterized by recurrent genetic alterations, particularly PLAG1 and HMGA2 translocations, which are widely recognized as genetic hallmarks of these tumors11. In CXPA, loss of heterozygosity in the 12q region and additional alterations in 17q12, deletions of 5q23.2–q31.2, gains of PLAG1 and MYC, and amplifications of MDM2, ERBB213, and HMGA214 are frequently reported CNAs.
With the advent of array-based comparative genomic hybridization (aCGH), our group has previously investigated the copy number alterations (CNAs) profile of PA carcinogenesis15 and recurrent PA, with its impact on malignant transformation16, the correlation of the genetic profile of recurrent and nonrecurrent PA17, and more recently, the role of CNAs encompassing miRNAs in the CXPA development18. However, a comparative study of gains, losses, and amplifications in the benign residual and transformed areas of CXPA is lacking.
Therefore, in this study, we applied aCGH to analyze a rare series of 27 CXPA samples aiming to identify differences between their CNAs profile of benign residual and transformed areas. In addition, we correlated the main CNAs findings with histopathologic classification according to histologic subtype and degree of invasion.
Results
Clinical, microscopic and genomic profile of analyzed tumors
In this cohort, there was no predilection between males (13 out of 27–48.1%) and females (10 out of 27–37%). The mean age was 58.1 years (range 27–82, ± 13.8). The majority of cases involved the parotid gland (22 out of 27–81.5%), followed by the submandibular gland (2 out of 27–7.4%) and minor salivary glands (2 out of 27–7.4%). Sex information was not available for four patients (14.8%) and site information was not available for one patient (3.7%).
The microscopic profile of the samples analyzed in this study is summarized in Table 1 and Fig. 1. Of the 27 CXPA cases analyzed, 13 (48.1%) carry losses in known cancer genes, whereas this was observed in eight (57.1%) of the 14 rPA cases analyzed.
Table 1.
Microscopic profile of the 27 analyzed tumors.
| Microscopic features | N (%) |
|---|---|
| Histologic subtype | |
| AdNOS | 6 (22.2) |
| SCC | 1 (3.7) |
| EMEC | 4 (14.8) |
| MC | 6 (22.2) |
| SDC | 9 (33.3) |
| SC | 1 (3.7) |
| Degree of invasion | |
| iCXPA | 5 (18.5) |
| mCXPA | 5 (18.5) |
| fCXPA | 17 (62.9) |
| rPA | |
| Present | 14 (51.8) |
| Absent | 13 (48.2) |
CXPA carcinoma ex pleomorphic adenoma, rPA residual pleomorphic adenoma, AdNOS adenocarcinoma not otherwise specified, SCC squamous cell carcinoma, EMEC epithelial–myoepithelial carcinoma, MC myoepithelial carcinoma, SDC salivary duct carcinoma, SC sarcomatoid carcinoma, iCXPA intracapsular CXPA, mCXPA minimally invasive CXPA, fCXPA frankly invasive CXPA.
Figure 1.
Representative illustration of the major histopathologic subtypes of CXPA used in this study. (A) EMEC ex-PA: Proliferation of transformed epithelial and myoepithelial cells within a myxoid stroma (H&E, × 20). (B) Growth pattern of MC ex-PA, with cells showing cellular pleomorphism (H&E, × 20). (C) AdNOS ex-PA: Tissue fragment shows cells with intense cellular pleomorphism in an invasive pattern, lacking features of other specific types. In situ component present (H&E, × 20). (D) Adenocarcinoma with residual benign area (rPA): lower magnification shows coexistence of residual benign and transformed areas (H&E, × 10). (E) SCC ex-PA: Cells with epithelioid appearance, and marked cellular pleomorphism, indicating squamous nature of the tumor (H&E, × 20). (F) SDC ex-PA: cells with abundant eosinophilic cytoplasm forming cords, nests, and mild cribriform structures within a desmoplastic stroma. In situ component present (H&E, × 10). PA pleomorphic adenoma, CXPA carcinoma ex pleomorphic adenoma, rPA residual pleomorphic adenoma, EMEC epithelial-myoepithelial carcinoma, MC myoepithelial carcinoma, AdNOS adenocarcinoma not otherwise specified, SCC squamous cell carcinoma, SDC salivary duct carcinoma.
The transformed areas (220 losses—60.4%) showed a tendency towards gene loss compared to the benign residual areas (144 losses—39.6%) (p = 0.187). Regarding gains, 15 (55.6%) CXPA carry losses in know cancer genes, whereas this was observed in six (42.9%) rPA cases. Gene gains were more frequent in the transformed areas (480 gains—83.9%) than in the benign residual areas (92 gains—26%) (p = 0.005) (Supplementary files 1 and Supplementary file 2) (Fig. 2a). Of the 27 CXPA cases analyzed, seven (25.9%) showed amplifications, whereas this was observed in only three (21.4%) of the 14 rPA cases analyzed. We identified 505 amplifications in the examined tissues (Supplementary file 1). The transformed areas showed a tendency towards gene amplifications (334 amplifications—66.1%) compared to the benign residual areas (171 amplifications—33.9%) (p = 0.172) (Fig. 2b). In the Venn diagram, repeated CNAs are not considered, so the lower total number of CNAs in the CXPA reflects more repetitions of CNAs in that group.
Figure 2.
Profile of losses, gains and amplifications between the benign residual area and the transformed area of CXPA included in this study. (A) Profile of gains and losses between the benign residual area (rPA) and the transformed area of carcinoma ex pleomorphic adenoma (CXPA) cases included in the study. Note that the number of gains (p = 0.005) increases in the transformed area compared to the benign area. The transformed areas showed a tendency towards gene loss compared to the benign residual areas (p = 0.187). Mann–Whitney U Test. (B) The transformed areas showed a tendency towards gene amplifications compared to the benign residual areas (p = 0.172); Twenty-two of them were common to both groups. Note that the Venn diagram excludes repetitions of copy number alterations (CNAs). Mann–Whitney U Test. (C) Amplification of rPAs was unique to each subgroup. (D) There was no statistically significant difference in the number of amplifications per histological subtype of CXPA (p = 0.792); some amplifications were shared between minimally invasive CXPA (mCXPA) and frankly invasive CXPA (fCXPA). No amplifications of iCXPA were shared with mCXPA and fCXPA. Kruskal–Wallis Test. (E) Among all histologic subtypes presented, more amplifications were observed in the two cases of CXPA (EMEC subtype) with identified CNAs. However, no statistically significant difference was found among the analyzed subtypes (p = 0.888). Kruskal–Wallis Test. (F) To better understand the 22 shared genes between rPA and CXPA, we plotted a graph dividing the CXPA group according to the degree of invasion. Amplification of the GRB7 and ERBB2 genes was observed between rPA and iCXPA. RPSAP52 and HMGA2 amplification were shared between rPA and both mCXPA and fCXPA. CXPA carcinoma ex pleomorphic adenoma, rPA residual pleomorphic adenoma, AdNOS adenocarcinoma NOS, SCC squamous cell carcinoma, EMEC epithelial–myoepithelial carcinoma, MC myoepithelial carcinoma, SDC salivary duct carcinoma, SC sarcomatoid carcinoma, iCXPA intracapsular CXPA, mCXPA minimally invasive CXPA, fCXPA frankly invasive CXPA, n number of samples included in the analysis.
Gains and losses in rPA and CXPA
The majority of samples analyzed showed a profile of frequent gains and losses in known cancer-related genes (Supplementary file 1). In the benign areas, losses were more frequent on chromosomes 17q (4 cases—28.6%), 5q and 6q (three cases each—21.4%) (Supplementary file 2). Among all identified losses, those affecting the genes CD74, EBF1, ITK, NPM1, NSD1, PDGFRB, RANBP17, STL, TLX3, and TNFAIP3 were more frequently (three losses of 144 each—2.1%). Conversely, gains on 8p and 8q (3 cases each—21.4%) were most frequently observed (Supplementary file 2). The most frequent gains observed involved the genes PLAG1 and TCEA1 (four gains of 92 each—4.3%), HOOK3 (three gains of 92—3.3%), and CHCHD7 (two gains of 92—2.2%).
In contrast, losses on chromosomes 8p (five cases—18.5%), 2q (four cases—14.8%), and 5q (three cases—11.1%) were most frequently observed in the transformed areas (Supplementary file 2). Notable losses included WRN, PCM1 (five losses of 220 each—2.3%), BCL2, CD74, ECT2L, EZR, FGFR1OP, GOPC, MALT1, MLLT4, MYB, PDGFRB, PRDM1, ROS1, STL, TNFAIP3, and WHSC1L1 (three losses of 220 each—1.4%). On the other hand, gains on 6p, 8p (four cases each—14.8%), 3q, 8q, 17q, and 22q (three cases each—11.1%) were more frequent (Supplementary file 2). Gene gains more frequently involving the genes TCEA1 and PLAG1 (seven gains of 480 each—1.5%) although gains of CHCHD7, MLF1 (six gains of 480 each—1.3%), BCL3, COX6C, HEY1, HOOK3, and NCOA2 (five gains of 480 each—1%) were also observed.
We grouped all cytobands with CNAs. Interestingly, we observed gains on chromosome 8p11.22q12.1 in two rPA cases (samples 1A7 and 3B1), involving the genes PLAG1, HOOK3, and TCEA1. Gains on chromosome 22q11.1–q13. 33 were observed in two cases: fCXPA (SDC subtype) and fCXPA (EMEC subtype), involving the genes BCR, CHEK2, CLTCL1, EP300, EWSR1, MKL1, MN1, MYH9, NF2, PDGFB, and SMARCB1. Loss on chromosome 8p23.3p11.1 was observed in an iCXPA (SDC subtype) and in a fCXPA (SCC subtype) with alterations in the genes FGFR1, HOOK3, PCM1, WHSC1L1, and WRN. Finally, a loss at 8p23.3-p11.23 was detected in an iCXPA (SDC subtype) and in a fCXPA (SDC subtype), involving the genes PCM1, WHSC1L1, and WRN.
Amplification in rPA
Among the 505 identified amplifications, 149 (29.5%) were exclusively detected in the benign residual area, whereas 22 (4.4%) were shared with the transformed area (Fig. 2b). Amplification was observed in rPAs adjacent to only three histologic subtypes of CXPA: SDC (132 of 171, 77.2%), AdNOS (34 of 171, 19.9%), and EMEC (5 of 171, 2.9%). However, there was no statistically significant difference in the number of amplifications per histologic subtype (p = 0.888) (Supplementary file 3) (Fig. 2e). Interestingly, all amplifications identified were exclusive to each subgroup. We performed a search for recurrent amplifications among the analyzed rPA samples, but each amplification appeared only once in these tissues.
Amplification in CXPA
Among all the amplifications not recurrently detected in CXPA (unique events), 279 (55.2%) were exclusive to the transformed areas (Fig. 2b). When analyzing these tumors based on their degree of invasion, there was a tendency for the number of amplified genes to increase as the degree of invasion and aggressiveness increased (p = 0.792): 8 genes were associated with iCXPA (2.4%), 59 with mCXPA (17.7%), and 267 with fCXPA (79.9%). No common amplification was detected between iCXPA and the other two groups. Comparing mCXPA and fCXPA, 28 amplified genes were shared between these groups: BEST3, CCT2, CNOT2, CPM, CPSF6, FRS2, HMGA2, KCNMB4, LOC100507195, LOC100507250, LOC101928002, LOC101928062, LRRC10, LYZ, MDM1, MDM2, MIR1279, MIR3913-1, MIR3913-2, MIR6074, NUP107, PTPRB, RAB3IP, RAP1B, RPSAP52, SLC35E3, SNORA70G, and YEATS4 (Fig. 2d).
Regarding the histologic subtype of these tumors, only CXPA classified as MC subtype and CXPA classified as SC subtype did not present amplifications. CXPAs with the EMEC subtype had more genes amplified (164–49.1%) than the SCC subtype (97–29%), the SDC subtype (50–15%) and the AdNOS subtype (23–6.9%). However, there was no statistically significant difference in the number of amplifications per histologic subtype (p = 0.134) (Supplementary file 3) (Fig. 2e).
As for the rPA, we looked for recurrent amplifications among the analyzed CXPA samples (Supplementary file 3). Amplifications of HMGA2 (3 amplifications—1%) and RPSAP52 (3 amplifications—1%) were more frequent. Another 36 amplifications were detected twice when we analyzed all malignant areas that showed alteration: AGAP2-AS1, BVES-AS1, CCT2, CDK12, CDKN2B-AS1, CNTN5, COM, CPSF6, ERBB2, FGFR1, FRS2, GRB7, IFNG-AS1, JRKL-AS1, KCNMB4, LOC100129940, LOC100507195, LOC100507250, LOC100507420, LYZ, MDM1, MDM2, MEF2C-AS1, MIR1279, MIR3913-1, MIR3913-2, MIR6074, PTPRB, RAP1B, SLC35E3, SNORA70G, STARD13-AS, TMEM161B-AS1, TRHDE-AS1, WHSC1L1, and YEATS4.
Correlation between amplifications of rPA and CXPA
When we compared rPA with CXPA at different stages of invasion, two amplifications were shared to rPA, mCXPA and fCXPA: RPSAP52 and HMGA2. Among all the amplifications, GRB7 and ERBB2 amplifications were observed in rPA and iCXPA. Interestingly, 18 genes were shared to rPA and fCXPA: CETN3, GPR98, KL, LINC00423, LINC01339, LOC100129940, LOC102546226, LOC731157, LYSMD3, MBLAC2, MEF2C, MEF2C-AS1, MIR3660, MIR9-2, POLR3G, STARD13, TMEM161B, and TMEM161B-AS1 (Fig. 2f).
In an attempt to observe whether the amplification of the malignant area in each histologic subtype was shared with the residual benign area, we compared the rPA alterations with CXPA separated by histologic subtype and degree of invasion. When comparing the amplifications of the benign residual area and malignant area of CXPA (SDC subtype), we observed that most of the amplifications of rPA were unique (130–71.4%). Six of them (3.3%) were exclusive to the iCXPA (SDC subtype): CDC6, CDK12, HER2, IGFBP4, LASP1 and MLLT6; and two amplifications (1.1%) was shared by the rPA and the iCXPA (both SDC subtype): GRB7 and ERRB2 (Fig. 3a). When we compared the genes amplified in the rPA adjacent to the CXPA (AdNOS subtype) with the amplified genes of CXPA (AdNOS subtype) cases, we observed that 20 amplifications (54.1%) were shared and three (8.1%) were unique to the transformed areas: LIC00461, PDS5B, and STARD13-AS1 (Fig. 3b).
Figure 3.
CNA profile in CXPA by histologic subtype. (A) CNA profile in CXPA (SDC subtype). The majority of amplifications in the benign residual area were unique, with amplifications in GRB7 and ERBB2 being common to both rPA and intracapsular (iCXPA). (B) CNA profile in CXPA (AdNOS subtype). Most of the amplified genes in the malignant area were shared with the residual area. (C) CNA profile in CXPA (EMEC subtype). None of the amplifications in the transformed areas were shared with the rPA. (D) CNA profile in CXPA (SCC subtype) compared to rPA subdivided by histologic subtype. All amplifications in CXPA (SCC subtype) were unique and did not share alterations with any of the rPAs analyzed. CXPA carcinoma ex pleomorphic adenoma, rPA residual pleomorphic adenoma, AdNOS adenocarcinoma NOS, SCC squamous cell carcinoma, EMEC epithelial–myoepithelial carcinoma, MC myoepithelial carcinoma, SDC salivary duct carcinoma, SC sarcomatoid carcinoma, iCXPA intracapsular CXPA, mCXPA minimally invasive CXPA, fCXPA frankly invasive CXPA, n number of samples included in the analysis.
There were no shared amplifications between benign residual areas and malignant areas of CXPA (EMEC subtype) (Fig. 3c). Finally, since we could not evaluate the bening residual area of CXPA (SCC subtype), we decided to compare the amplifications of malignant areas of this tumor with the rPA adjacent to other histologic subtypes that showed alteration. This analysis showed that all amplifications of the malignant area of the CXPA (SCC subtype) were unique (Fig. 3d).
Gene ontology (GO) and pathway enrichment of amplified genes
To determine the most likely biological effects of the amplified genes, we performed gene ontology (GO) analysis for these aCGH data (Supplementary file 4). GO analysis revealed that CXPA presented with gene enrichment involving different biological processes and molecular functions. Among the top 10 enriched biological processes, five were directly related to the tumor immune response, including the IFNA and MEF2 family genes in the processes of NK cell activation (p = 6.59E-16), lymphocyte proliferation (p = 3E-11), and T cell activation (p = 7.03E-11). Among the top 10 enriched molecular functions, the cytokine receptor binding (p = 1.89E-07) and cytokine activity (p = 4.94E-07) were identified as molecular functions related to the tumor immune microenvironment. Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis was performed. Among the top ten enriched pathways, the RIG-I-like receptor signaling pathway (p = 6.53e-12), Jak-STAT signaling pathway (p = 8.29e-11), natural killer cell mediated cytotoxicity (p = 1.28e-08), Toll-like receptor signaling pathway (p = 1.36e-08), and NOD-like receptor signaling pathway (p = 1.36e-08) were highlighted. GO analysis of the genes amplified in rPA did not reveal any statistically significant biological processes or KEGG pathways. These genes were enriched solely in trace-amine receptor activity (p = 1.34e-05) (TAAR2, TAAR5, TAAR6, TAAR8, TAAR9), according to the molecular function analysis.
Discussion
In this study, we used aCGH to evaluate residual benign and transformed areas in patients who developed CXPA in Brazilian individuals. Our findings represent the first study in the literature of multiple CNAs in CXPA, with some of these alterations also present in the adjacent benign tissue surrounding the transformation site. Crucially, our investigation highlights that the transition from PA to CXPA is characterized by a significant increase in the number of CNAs. This finding is supported by a previous and recent study from our group, which used aCGH to demonstrate an increase in the number of miRNA genes throughout the malignant transformation of PA18.
Our primary results revealed several key findings: (1) the chromosomal gain of PLAG1 persisted throughout the malignant transformation, being present in both rPA and CXPA samples. (2) Amplification of HMGA2 and RPSAP52 was particularly prevalent in both groups analyzed. (3) GRB7 and ERBB2 amplification may represent an early event in the malignant progression from rPA to CXPA (SDC subtype). (4) Genes showing amplification in the transformed regions of the tumor were found to be enriched for biological processes associated with immune signaling.
A gain indicates a higher copy number of a genomic region compared to a reference sample, suggesting duplication or a few additional copies of that region. On the other hand, the term amplification indicates a particularly pronounced and often substantial increase in copy number, typically representing multiple extra copies a given genomic segment. In our series, amplifications of PLAG1 were not detected by aCGH; however, copy number gains of PLAG1, especially involving chromosomal region 8q, were observed in both residual benign areas and transformed areas. The pleomorphic adenoma gene 1 (PLAG1) produces a zinc finger protein with functions during embryogenesis and fetal development19. While specific alterations in PLAG1 can be observed in lipoblastomas and other mixed skin and soft tissue tumors20, the role of PLAG1 in salivary gland tumors is largely limited to PA and the CXPA21. Previous studies support chromosomal gain of PLAG1 in the 8q12 region in PA22, and suggested that it may contribute to the malignant transformation of PA13,19,23. The involvement of rearrangements in this region in CXPA samples may further support the role of this gene in tumorigenesis21. Indeed, rearrangements in PLAG1 have been identified as one of the most common genetic events in CXPA, regardless of histologic subtype24.
In a recent study of our group, we showed that the expression of the PLAG1 protein, and presumably its role, was maintained in the majority of rPA cases and in some CXPA cases4. However, data indicated that the expression of PLAG1 was reduced after transformation. Although we observed this loss of PLAG1 expression in malignant tissues, occasional discrepancies between PLAG1 protein expression and genetic status have been reported in the literature. Some investigators have suggested that a thorough investigation should be conducted to identify the underlying mechanism of this event in these tumors11,25.
Rearrangements in 12q14.3 involving the high mobility group AT-hook 2 (HMGA2), also known as HMGI-C, have been documented during the transformation of PA to CXPA11,14. In fact, abnormalities in HMGA2 and PLAG1 have been shown to be useful in distinguishing CXPA from de novo counterparts24,26, and the overexpression of these proteins may aid in the detection of CXPA, especially when a PA component is not evident27. HMGA2 is recognized as a transcriptional co-regulator that is expressed at high levels during embryonic development, silenced in adult tissues, and re-expressed in several human cancers28. Previous observations have suggested that PAs with HMGA2 amplification may carry an increased risk of malignant transformation14. Interestingly, in our study we show that although HMGA2 amplifications were maintained in rPA, they were more prevalent in transformed areas.
In the correlation analyses between residual benign areas and transformed areas, we observed that, similar to HMGA2, amplification of the RPSAP52 gene was prevalent in our CXPA samples. Surprisingly, RPSAP52 is a transcribed RNA pseudogene that positively regulates HMGA2 expression through the formation of an R-loop structure29. Under normal conditions, RPSAP52 is also expressed in embryonic tissues and is silenced in most adult tissues30. In breast cancer and sarcoma, the RPSAP52 pseudogene controls the HMGA2/IGF2BP2/LIN28B axis through positive transcriptional regulation of HMGA2 and regulation of the function of the IGF2BP2 protein, which has pro-proliferative targets30. Thus, RPSAP52 could be considered an oncogene whose dysregulation in CXPA could stimulate cell growth and maintain cells in a more undifferentiated state. This finding is unique in the literature, and to date there have been no reports of the presence of RPSAP52, especially in association with HMGA2, in rPA and CXPA. However, although it appears promising, methodologies that validate these findings should be applied in these tumors to understand the mechanisms that drive this process.
A comprehensive study analyzing 24 CXPA cases showed that of the 73 genomic alterations detected, 35.6% were amplifications, with ERBB2 being particularly prevalent31. This finding is consistent with our study, which also demonstrated two amplifications of ERBB2: one in a case of iCXPA and another in a case of rPA. Amplifications in CDK4, MDM2, ZNF703 and FGFR1 were identified in both studies, further supporting their importance in CXPA pathogenesis.
Growth factor receptor-bound protein 7 (GRB7) is a multidomain adaptor protein co-opted by numerous tyrosine kinases involved in various cellular signaling pathways32. Its binding partner is the activated epidermal growth factor receptor (EGFR)33. The human GRB7 gene is located on chromosome 17q12 and has been shown to be involved in the regulation of cell proliferation, migration and invasion in mammary, ovarian and esophageal tissues34,35. In our study, we showed that in CXPA (SDC subtype), GRB7 and ERBB2 genes are amplified in rPA and iCXPA. This finding suggests that these amplifications may be an initial step in the development of CXPA.
Furthermore, as a final highlight of this study, we observed that the amplified genes in CXPA were enriched for biological processes related to immune signaling. This discovery is particularly intriguing, because the amplified genes in rPA did not show a significant process and function profile in GO analysis. The study of the immune microenvironment in CXPA is limited, and this finding underscores the need to focus our attention on this crucial aspect of the carcinogenic process36.
Although the findings regarding GRB7, ERBB2, and RPSAP52 amplification are significant, additional validations should be performed using different methods, such as fluorescence in situ hybridization (FISH) and/or immunohistochemistry (IHC), to further confirm and strengthen our results. This approach would allow a more comprehensive comparison and a deeper understanding of the results, especially when considering the analysis of genes such as PLAG1 and HMGA2, which have been studied using these techniques. Therefore, considering that CXPA is a rare tumor arising from the accumulation of alterations in the pre-existing PA, we believe that our results highlight promising initial findings for further studies aimed at better understanding the malignant transformation of PA.
Conclusion
In conclusion, this study is the first to explore CNAs in the malignant transformation of CXPA. The study’s results indicate that CXPA exhibited significant CNAs, some of which were also present in the adjacent residual benign area following transformation site. These CNAs included PLAG1 gain, as well as amplification of GRB7, ERBB2, HMGA2, and RPSAP52. Furthermore, our study highlights a crucial aspect: the transformation process from PA to CXPA is associated with an increase in the number of CNAs. This underscores the stepwise development and progressive accumulation of alterations during the evolution of CXPA and sheds light on the dynamic nature of this transformation. These findings have the potential to inform more accurate diagnostic strategies and guide the development of personalized therapeutic approaches in the future. However, it is important to recognize that further studies are needed to validate these findings and translate them into tangible clinical applications.
Material and methods
Patients and tumor material
A total of 27 patients diagnosed with CXPA were included in this study. Formalin-fixed paraffin-embedded (FFPE) tissue sections of surgical specimens were used. The transformed area of all these cases and the benign residual area of 14 of them were analyzed. The benign residual areas of the other 13 cases of CXPA could not be analyzed by aCGH. Approval for all experimental protocols was obtained from the Institutional Ethics Committee of the Faculty of Medical Sciences of the University of Campinas (approval number: 2011/23366-5), ensuring compliance with the relevant guidelines and regulations throughout the study.
Pathological analysis
The histological diagnosis of all cases was reviewed. Carcinomas were reclassified according to the extent of invasion beyond the PA capsule as (1) iCXPA (contained by the capsule); (2) mCXPA (infiltration of extracapsular tissue at a distance ≤ 1.5 mm) and fCXPA (infiltration > 1.5 mm). The histological analysis was evaluated according to the 2017 WHO histologic classification37.
DNA extraction and genome-wide copy number analysis
Tumor DNA was extracted from a 1.5 mm-diameter puncture of FFPE using the Qiagen extraction kit (Qiagen GmbH, Hilden, Germany) according to the manufacturer’s recommendations and our previous studies16–18. To improve DNA quality, the protocol included dewaxing with xylene, followed by methanol washes and incubation in 1 mol/L sodium thiocyanate for 24 h. The tissue sediment was then dried and digested in high-dose proteinase K lysis buffer for 1.5 days. The material was purified on the column and eluted in the buffer. Samples of the tumor DNA and a reference DNA (collected from different healthy donors (Promega, Madison, WI, USA) were labeled with the Enzo genomic DNA labeling kit according to the manufacturer’s instructions. Five hundred nanograms of test DNA and 500 ng of reference DNA were co-hybridized with a 180 k oligonucleotide matrix (SurePrint G3 Human CGH Microarray 4 × 180 K design 22,060, Agilent Technologies, Palo Alto, CA, USA) according to Agilent procedures.
The genome-wide copy number analysis was realized according to Kimura et al. (2024)18. In summary, this work contained 24,011 exomic probes. Microarray images were acquired using the Agilent microarray scanner bundle, and data were extracted using feature extraction (v9.1) (Agilent Technologies, Santa Clara, CA, USA). aCGH data were analyzed using Nexus copy number discovery edition v7.0 software, according to Mariano et al.17. Genomic CNA was called based on the FASST2 segmentation algorithm (limit of significance defined in 5 × 10−8) with log2 limit ratios of 0.2 or 0.8 for high copy gains or losses, respectively, and − 0.2 or − 1.0 for homozygous losses or gains, respectively. A gain was considered when a region of DNA had one extra copy of genetic material compared to the reference genome. Amplification, on the other hand, was considered when a region of DNA was increased by multiple copies. A loss was considered when a region of DNA had fewer copies than the reference genome.
Data analysis and statistical analysis
Correlation analysis of the amplified genes in the rPA and CXPA in different invasion phases and different histologic subtypes was performed using Venn diagrams38. In addition, the amplified genes identified in the study groups were subjected to gene ontology (GO) enrichment analysis39,40 and KEGG pathways41–43 using the STRING database44. The Mann–Whitney U Test was used to statistically evaluate the distribution of loss, gain, and amplification between rPA and CXPA. The Kruskal–Wallis test was used to analyze the distribution of amplification across histological subtype and degree of invasion. The statistical software SPSS (version 22.0) was used, and the significance level was set at 5%.
Ethics declarations
This study adhered to the principles outlined in the Declaration of Helsinki. Approval for the study protocol was secured from the Institutional Ethics Committee of the Faculty of Medical Sciences of the University of Campinas (approval number: 2011/23366-5). Prior to participation, informed consent was obtained from all subjects involved in the study.
Supplementary Information
Acknowledgements
The São Paulo State Research Foundation (FAPESP, São Paulo, Brazil, grant numbers 15/07304-0; 17/13167-1; 17/00831-0; 19/09419-0; 21/12567-1), the National Council for Scientific and Technological Development (CNPq, Brasilia, Brazil, grant number 153411/2017-1), the Coordination of Training of Higher Education Graduate Foundation (CAPES, Brasilia, Brazil, finance code 001) and Fund for the Support of Education, Research and Extension of University of Campinas (Faepex, Campinas, Brazil).
Author contributions
JFS drafted the manuscript. JFS and WLS analyzed all data. JFS, RALS, FVM, ESAE participated in sample preparation and experiments. RG and ACV participated in the statistical analysis of the data. AJT and LPK participated in the clinical selection of the sample. AA and FVM performed the morphological analysis of the cases and designed the study. All authors revised the manuscript.
Funding
This study was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo, 15/07304-0; 17/13167-1; 17/00831-0; 19/09419-0; 21/12567-1, Conselho Nacional de Desenvolvimento Científico e Tecnológico, 153411/2017-1, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, 001.
Data availability
Data is provided within the manuscript or supplementary information files.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: João Figueira Scarini and Wellington Lima Sabino.
Contributor Information
João Figueira Scarini, Email: scarinij@gmail.com.
Fernanda Viviane Mariano, Email: fmariano@unicamp.br.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-024-63763-9.
References
- 1.Olsen, K. D. & Lewis, J. E. Carcinoma ex pleomorphic adenoma: A clinicopathologic review. Head Neck23, 705–712 (2001). [DOI] [PubMed] [Google Scholar]
- 2.Altemani, A. et al. Carcinoma ex pleomorphic adenoma (CXPA): Immunoprofile of the cells involved in carcinomatous progression. Histopathology46, 635–641 (2005). [DOI] [PubMed] [Google Scholar]
- 3.Mariano, F. V. et al. Carcinoma ex pleomorphic adenoma in a Brazilian population: Clinico-pathological analysis of 38 cases. Int. J. Oral Maxillofac. Surg.42, 685–692 (2013). [DOI] [PubMed] [Google Scholar]
- 4.de Brito, B. S. et al. Loss of expression of Plag1 in malignant transformation from pleomorphic adenoma to carcinoma ex pleomorphic adenoma. Hum. Pathol.57, 152–159 (2016). [DOI] [PubMed] [Google Scholar]
- 5.Ihrler, S., Guntinas-Lichius, O., Agaimy, A., Wolf, A. & Mollenhauer, M. Histological, immunohistological and molecular characteristics of intraductal precursor of carcinoma ex pleomorphic adenoma support a multistep carcinogenic process. Virchows Arch.470, 601–609 (2017). [DOI] [PubMed] [Google Scholar]
- 6.Egal, E. S., Mariano, F. V., Altemani, A. M. & Metze, K. Age and adenoma size are independent risk factors for the development of carcinoma ex pleomorphic adenoma. Oral Oncol.84, 106–107 (2018). [DOI] [PubMed] [Google Scholar]
- 7.Scarini, J. F. et al. Gene and immunohistochemical expression of HIF-1α, GLUT-1, FASN, and adipophilin in carcinoma ex pleomorphic adenoma development. Oral Dis.10.1111/odi.13332 (2020). [DOI] [PubMed] [Google Scholar]
- 8.Scarini, J. F. et al. Two sides of the same coin: Insights into the myoepithelial cells in carcinoma ex pleomorphic adenoma development. Crit. Rev. Oncol. Hematol.10.1016/j.critrevonc.2020.103195 (2020). [DOI] [PubMed] [Google Scholar]
- 9.Williams, M., Ihrler, S. & Seethala, R. N. Carcinoma ex pleomorphic adenoma. In World Health Organization Classification of Head and Neck Tumours (eds El-Naggar, A. et al.) 176–177 (2017).
- 10.Morais, E. F. et al. Extracapsular invasion: A potential prognostic marker for carcinoma ex-pleomorphic adenoma of the salivary glands? A systematic review. J. Oral Pathol. Med.48, 433–440 (2019). [DOI] [PubMed] [Google Scholar]
- 11.Stenman, G. et al. Chromosome translocations, gene fusions, and their molecular consequences in pleomorphic salivary gland adenomas. Biomedicines10, 1970 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.El-Naggar, A. K., Lovell, M., Ordonez, N. G. & Killary, A. M. Multiple unrelated translocations in a metastatic epimyoepithelial carcinoma of the parotid gland. Cancer Genet. Cytogenet.100, 155–158 (1998). [DOI] [PubMed] [Google Scholar]
- 13.Persson, F. et al. High-resolution genomic profiling of adenomas and carcinomas of the salivary glands reveals amplification, rearrangement, and fusion of HMGA2. Genes Chromosom. Cancer48, 69–82 (2009). [DOI] [PubMed] [Google Scholar]
- 14.Röijer, E. et al. Translocation, deletion/amplification, and expression of HMGIC and MDM2 in a carcinoma ex pleomorphic adenoma. Am. J. Pathol.160, 433–440 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Mariano, F. V. et al. Evaluation of a subset of tumor suppressor gene for copy number and epigenitic changes in pleomorphic adenoma and carcinoma ex-pleomorphic adenoma carcinogenesis. Oral Surg. Oral Med. Oral Pathol. Oral Radiol.122, 322–331 (2016). [DOI] [PubMed] [Google Scholar]
- 16.Mariano, F. V. et al. Carcinoma ex-pleomorphic adenoma derived from recurrent pleomorphic adenoma shows important difference by array CGH compared to recurrent pleomorphic adenoma without malignant transformation. Braz. J. Otorhinolaryngol.82, 687–694 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Mariano, F. V. et al. Somatic copy number alterations in pleomorphic adenoma and recurrent pleomorphic adenoma. Oral Surg. Oral Med. Oral Pathol. Oral Radiol.129, 59–64 (2020). [DOI] [PubMed] [Google Scholar]
- 18.de Kimura, T. C. et al. MicroRNA copy number alterations in the malignant transformation of pleomorphic adenoma to carcinoma ex pleomorphic adenoma. Head Neck10.1002/hed.27717 (2024). [DOI] [PubMed] [Google Scholar]
- 19.Bahrami, A., Dalton, J. D., Shivakumar, B. & Krane, J. F. PLAG1 alteration in carcinoma ex pleomorphic adenoma: Immunohistochemical and fluorescence in situ hybridization studies of 22 cases. Head Neck Pathol.6, 328–335 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Bahrami, A., Dalton, J. D., Krane, J. F. & Fletcher, C. D. M. A subset of cutaneous and soft tissue mixed tumors are genetically linked to their salivary gland counterpart. Genes. Chromosom. Cancer51, 140–148 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Martins, C. et al. PLAG1 gene alterations in salivary gland pleomorphic adenoma and carcinoma ex-pleomorphic adenoma: A combined study using chromosome banding, in situ hybridization and immunocytochemistry. Mod. Pathol.18, 1048–1055 (2005). [DOI] [PubMed] [Google Scholar]
- 22.Zerjav, M. et al. Cytogenomic abnormalities in 19 cases of salivary gland tumors of parotid gland origin. Case Rep. Genet.2020, 1–6 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Key, S. et al. Molecular factors in carcinoma ex pleomorphic adenoma: Systematic review and meta-analysis. Laryngoscope10.1002/lary.30993 (2023). [DOI] [PubMed] [Google Scholar]
- 24.Katabi, N. et al. PLAG1 immunohistochemistry is a sensitive marker for pleomorphic adenoma: A comparative study with PLAG1 genetic abnormalities. Histopathology72, 285–293 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Andreasen, S., von Holstein, S. L., Homøe, P. & Heegaard, S. Recurrent rearrangements of the PLAG1 and HMGA2 genes in lacrimal gland pleomorphic adenoma and carcinoma ex pleomorphic adenoma. Acta Ophthalmol.96, e768–e771 (2018). [DOI] [PubMed] [Google Scholar]
- 26.Owosho, A. A. et al. HMGA2 immunoexpression is frequent in salivary gland pleomorphic adenoma: Immunohistochemical and molecular analyses of PLAG1 and HMGA2 in 25 cases. Int. J. Clin. Exp. Pathol.15, 63–71 (2022). [PMC free article] [PubMed] [Google Scholar]
- 27.Mito, J. K., Jo, V. Y., Chiosea, S. I., Dal Cin, P. & Krane, J. F. HMGA2 is a specific immunohistochemical marker for pleomorphic adenoma and carcinoma ex-pleomorphic adenoma. Histopathology71, 511–521 (2017). [DOI] [PubMed] [Google Scholar]
- 28.Mahajan, A. et al. HMGA2: A biomarker significantly overexpressed in high-grade ovarian serous carcinoma. Mod. Pathol.23, 673–681 (2010). [DOI] [PubMed] [Google Scholar]
- 29.Boque-Sastre, R. et al. Head-to-head antisense transcription and R-loop formation promotes transcriptional activation. Proc. Natl. Acad. Sci.112, 5785–5790 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Oliveira-Mateos, C. et al. The transcribed pseudogene RPSAP52 enhances the oncofetal HMGA2-IGF2BP2-RAS axis through LIN28B-dependent and independent let-7 inhibition. Nat. Commun.10, 3979 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Wang, K. et al. Profiling of 149 salivary duct carcinomas, carcinoma ex pleomorphic adenomas, and adenocarcinomas, not otherwise specified reveals actionable genomic alterations. Clin. Cancer Res.22, 6061–6068 (2016). [DOI] [PubMed] [Google Scholar]
- 32.Zhao, H.-B., Zhang, X.-F., Jia, X.-L. & Wang, H.-B. Grb7 is over-expressed in cervical cancer and facilitate invasion and inhibit apoptosis in cervical cancer cells. Pathol. Res. Pract.213, 1180–1184 (2017). [DOI] [PubMed] [Google Scholar]
- 33.Chu, P.-Y., Tai, Y.-L. & Shen, T.-L. Grb7, a critical mediator of EGFR/ErbB signaling, in cancer development and as a potential therapeutic target. Cells8, 435 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Luoh, S. et al. GRB7 dependent proliferation of basal-like, HER-2 positive human breast cancer cell lines is mediated in part by HER-1 signaling. Mol. Carcinog.58, 699–707 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Vermehren-Schmaedick, A., Mhawech-Fauceglia, P., Park, B. S., Pejovic, T. & Luoh, S.-W. The prognostic significance of GRB7 protein expression and localization in human breast and ovarian cancers. Oncotarget11, 2273–2289 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Egal, E. S. A. et al. Tumor microenvironment in salivary gland carcinomas: An orchestrated state of chaos. Oral Oncol.127, 105777 (2022). [DOI] [PubMed] [Google Scholar]
- 37.El-Naggar, A. K., Chan, J. K. C., Grandis, J. R., Takata, T. & Slootweg, P. J. WHO Classification Head Neck Tumours (IARC Press, 2017). [Google Scholar]
- 38.Heberle, H., Meirelles, G. V., da Silva, F. R., Telles, G. P. & Minghim, R. InteractiVenn: A web-based tool for the analysis of sets through Venn diagrams. BMC Bioinform.16, 169 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Ashburner, M. et al. Gene ontology: Tool for the unification of biology. Nat. Genet.25, 25–29 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Aleksander, S. A. et al. The gene ontology knowledgebase in 2023. Genetics224, iyad031 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kanehisa, M. Toward understanding the origin and evolution of cellular organisms. Protein Sci.28, 1947–1951 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kanehisa, M. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res.28, 27–30 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kanehisa, M., Furumichi, M., Sato, Y., Kawashima, M. & Ishiguro-Watanabe, M. KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res.51, D587–D592 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Szklarczyk, D. et al. The STRING database in 2017: Quality-controlled protein–protein association networks, made broadly accessible. Nucleic Acids Res.45, D362–D368 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
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Supplementary Materials
Data Availability Statement
Data is provided within the manuscript or supplementary information files.



