- Open Access
Surgical and molecular pathology of pancreatic neoplasms
© The Author(s). 2016
- Received: 19 January 2016
- Accepted: 28 May 2016
- Published: 7 June 2016
Histologic characteristics have proven to be very useful for classifying different types of tumors of the pancreas. As a result, the major tumor types in the pancreas have long been classified based on their microscopic appearance.
Recent advances in whole exome sequencing, gene expression profiling, and knowledge of tumorigenic pathways have deepened our understanding of the underlying biology of pancreatic neoplasia. These advances have not only confirmed the traditional histologic classification system, but also opened new doors to early diagnosis and targeted treatment.
This review discusses the histopathology, genetic and epigenetic alterations and potential treatment targets of the five major malignant pancreatic tumors - pancreatic ductal adenocarcinoma, pancreatic neuroendocrine tumor, solid-pseudopapillary neoplasm, acinar cell carcinoma and pancreatoblastoma.
- Pancreatic cancer
- Acinar cell carcinoma
- Pancreatic neuroendocrine tumor
- Solid-pseudopapillary neoplasm
Differential diagnosis of malignant pancreatic neoplasms. Overview of pancreatic neoplasms with their relative prevalence, direction of differentiation, macroscopic and microscopic appearance, and immunohistochemical markers
Prevalence (% of all malignant pancreatic tumors)
Mean Age (SD) in years
Direction of differentiation Ductal/acinar/endocrine
Gross: Solid/solid and cystic/cystic
Pancreatic ductal adenocarcinoma
• Glandular and ductal structures
• Abundant desmoplastic stroma
• Eosinophilic to clear cytoplasm and enlarged pleomorphic nuclei
• Perineural, lymphatic and blood vessel invasion
Aberrant TP53 expression, SMAD4 loss, expression of MUC1, MUC3, MUC4, MUC5AC, CA19-9
Pancreatic neuroendocrine tumor/carcinoma
Solid, sometimes cystic degeneration
• Nested or trabecular growth pattern
• Granular amphophilic to eosinophilic cytoplasm
• “Salt and pepper” chromatin
Expression of synaptophysin and chromogranin, peptide hormones (e.g. insulin and glucagon), aberrant nuclear TP53 expression in PanNECs
Solid and cystic
• Poorly cohesive uniform cells
• Extensive degenerative changes.
• Eosinophilic or clear vacuolated cytoplasm Round to oval nuclei, often grooved or indented.
• Eosinophilic globules and foamy macrophages
Abnormal nuclear labeling for β-catenin, expression of CD10, paranuclear dot-like CD99 labeling or lymphoid enhancer-binding factor 1 (LEF1). Loss of membranous E-cadherin
Acinar cell Carcinoma
56 (15) 6 % between 8 and 15
Solid, sometimes cystic degeneration
• Enlarged uniform nuclei with prominent nucleoli
• Finely granular eosinophilic cytoplasm.
• Small acinar units or sheets
BCL10, expression of pancreatic exocrine enzymes: trypsin, chymotrypsin, lipase
5 (2), second peak around 40
Solid, cystic in BWS a
• Similar to ACC
• Squamoid nests required for diagnosis
• Neuroendocrine or ductal component.
Expression of pancreatic exocrine enzymes, BCL10, SMAD4 loss, Abnormal nuclear labeling for β-catenin
Overview of pancreatic neoplasms with their key genetic alterations and several epigenetic alterations discussed in this review
Average number of somatic mutations
Major genes involved
MiRNA tumor expression compared to normal pancreatic tissue
Pancreatic ductal adenocarcinoma
KRAS, CDNK2A, SMAD4, TP53, MLL3, TGFBR2, ATM, ARID1A, ROBO2, KDM6A
Loss of function through promotor hypermethylation: CDNK2A, hMLH1,
Upregulation: miR-21, 23a, 31, 100, 143, 155, and 221
Downregulation: miR-148a, 217 and 375
Pancreatic Neuroendocrine tumor/carcinoma
MEN1, ATRX, DAXX, TSC2, PTEN #, Rb, TP53*
Hypomethylation of LINE1 and hypermethylation of RASSF1A promoting the accumulation of β-catenin
Upregulation: miR-193b, 103 and 107
MiRNAs possibly upregulating the Wnt, Hedgehog, and Androgen receptor pathway
Acinar cell carcinoma
SMAD4, JAK1, BRAF, RB1, TP53, APC, ARID1A, GNAS, MLL3, PTEN
Hypermethylation of RASSF1, MLH1 and APC
Upregulation: miR-17, 20, 21, 92–1, 103, 107
Loss of chromosome 11p, CTNNB1
Hypermethylation of RASSF1A
Pancreatic ductal adenocarcinoma
Infiltrating ductal adenocarcinoma, also known as pancreatic ductal adenocarcinoma (PDAC), accounts for 90 % of all malignant pancreatic neoplasms and occurs at a mean age of 66 years . PDAC has a very poor prognosis with an overall 5-year survival of only 7 % . At diagnosis, the majority of patients are inoperable due to locally advanced or metastatic disease. The median survival for patients with metastatic disease is less than a year . Moreover, by the year 2030 pancreatic cancer is predicted to become the second leading cause of cancer-related death in the U.S. . In view of the increasing incidence and the virtually unchanged poor prognosis of PDAC both new therapies for established pancreatic cancer as well as methods for prevention and early detection are desperately needed.
Gross and microscopic findings
Genetic signature: familial PDAC
Overview of germline genetic alterations with well-defined pancreatic cancer risk and genes that have been associated with familial PDAC
RR (Cumulative lifetime risk (%) by age 70)
STK11/LKB1 (Peutz-Jeghers syndrome)
PRSS1/SPINK1 (hereditary pancreatitis)
MLH1, MSH2, MSH6, PMS2 (Lynch syndrome)
CFTR (cystic fibrosis)
FDR with PC
FDRs with PC
Possible role in FPC:
ATM, TET2, DNMT3A, POLN, POLQ, ASXL1, PALB2, FANCG, BUB1B, ESCO2, FANCC, FANCM, MSH4, RAD54L
In addition to these low prevalence but high penetrance genes, there are a number of more common lower penetrance genes that increase the risk of pancreatic cancer only slightly. A number of these, including ABO blood group type, have been identified in genome wide association studies (GWAS) [22–24].
Genetic signature: sporadic PDAC
The somatic alterations present in PDAC are now well characterized thanks to several large whole-exome and whole-genome sequencing studies [21, 25–27]. On average PDACs have 50–80 exomic non-silent mutations [21, 25–27]. In addition, extensive larger structural variations including intra-chromosomal rearrangements, deletions and amplifications are common in PDAC [21, 28].
Point mutation of the oncogene KRAS is seen in almost all early pancreatic cancer precursor lesions and in PDACs. Subsequent mutations that drive neoplastic progression in PanIN lesions are usually in the tumor suppressor genes CDKN2A, TP53 and SMAD4 (Fig. 3) [21, 25, 26]. Further accumulation of genetic and epigenetic alterations drives neoplastic progression in these precursor lesions, eventually leading to an invasive pancreatic adenocarcinoma . Less commonly mutated genes in PDAC include MLL3, TGFBR2, ATM, ARID1A, ROBO2 and KDM6A [21, 25–27]. Of note, mutations in chromatin-regulating genes (MLL, MLL2, MLL3 and ARID1A) have been associated with improved survival, and loss of SMAD4 with poorer survival [29, 30]. Many mutations found by whole exome sequencing are reported in a very low percentage of tumors, and therefor categorized as passengers in tumorigenesis. Of note the recently proposed “mini driver” model hypothesizes that several passengers might have relatively weak tumor-promoting effects but together might substitute for a major-driver . More research is needed to address the exact role of most of these less prevalent mutations in tumorigenesis.
Importantly - despite the diversity of genes targeted - the genetic alterations in PDAC appear to selectively target core signaling pathways, including Wnt/Notch signaling, TGF-β signaling, and DNA damage control . Despite the genetic heterogeneity of PDAC, targeting one or more of these pathways may be more effective than targeting a specific genetic alteration. For example, Waddell et al. recently correlated deleterious mutations in BRCA1 and BRCA2 with unstable genetic signatures (>200 structural variations). In their study, 4 out of 5 patients with defective DNA damage control responded to treatment with a platinum containing regimen. Also PARP inhibitors have been reported to be effective in BRCA mutated tumors . These findings illustrate how knowledge of rare mutations in known pathways can be used to guide treatment. A number of clinical trials targeting specific pathways and mutations are being conducted on patients with PDAC and other human cancers. Potential targets for therapeutic intervention are seen in over a third of PDACs (up to 97 % when trials related to KRAS and TP53 are included) . Future personalized treatment might thus drastically change outcome of this disease.
Studies of the clonal evolution of genetic changes in pancreatic cancer and metastases by Yachida et al. suggest that it takes almost 12 years from the initiating mutation in the pancreas until development of an invasive PDAC . This suggests a wide window of opportunity for the early detection of pancreatic cancer. The genetic alterations present in pancreatic cancer and its non-invasive precursors can be shed into the blood and into the pancreatic duct system. This suggests the possibility of gene-based early detection tests. Indeed, mutant KRAS shed from invasive pancreatic cancer can be detected in the plasma, and mutations present in non-invasive cystic precursor lesions, such as IPMNs and MCNs can be detected in cyst fluid aspirated at the time of endoscopic ultrasound (EUS), as well as in secretin stimulated pancreatic juice collected from the duodenum [33, 34].
A number of genes are aberrantly methylated in pancreatic cancer [35–41]. For example, integrated methylation and gene-expression meta-analysis have identified a number of genes (MUC4, SERPINB5, CLDN4, SFN, TFF1, S100P, S100A4, MMP1, MMP7, MSLN, PSCA, ID1, MST1R, NBL1, PHLDA2, PLAT, PLAUR, IL8, SPP1, ARHGDIB, NQO1, and ITGB4) that are significantly upregulated in PDAC, likely caused by promoter hypomethylation [36, 42, 43]. Some of the genes targeted by changes in methylation are clearly cancer-causing, such as the well-known tumor suppressor gene CDNK2A and the DNA repair gene hMLH1, which show loss of function through promoter hypermethylation silencing [40, 44–46].
These epigenetic changes are not only functionally important, but can also be used as markers of disease and early detection. For example, DNA methylation alterations in the pancreatic juice are a possible approach to the diagnosis of pancreatic cancer .
Post-transcriptional regulation or silencing of gene expression occurs mostly by non-coding RNAs. The most studied non-coding RNAs are microRNAs (miRs), which are small single stranded RNA molecules that regulate mRNA by full or partial complementarity. Deregulated miRs can give information on transcriptional regulation and may serve as biomarkers for survival and early detection [48–50].
Recently a large meta-analysis looked at the miR expression profiles of 538 PDACs. A statistically significant miR meta-signature with upregulation of miR-21, 23a, 31, 100, 143, 155, and 221 and downregulation of miR-148a, 217 and 375 was found in PDAC. Furthermore, in a cohort of 70 patients, the high expression of miR-21, miR-31 and the low expression of miR-375 in their PDACs was found to be an independent prognostic marker for poor overall-survival . Interestingly, in stool from patients with PDAC, significantly higher miR-21 and miR-155 and lower miR-216 levels have been found compared to normal controls . Other studies with “disease free survival” and “overall survival” as outcome measures also found an important role for high levels of miR-21 in predicting prognosis, along with high miR-155, high miR-203, and low miR-34a .
MiR-21 is thus an important candidate for diagnostic and prognostic purposes, although it cannot be used to differentiate between PDAC and precursor lesions such as intraductal papillary mucinous neoplasms (IPMN) or malignancy in other organs [52, 53]. MiR-21 has approximately 180 target messenger RNAs (mRNA) . Interestingly several of these targets are tumor suppressors and negative regulators of the Ras/MEK/ERK pathway. An in vivo study with a murine non-small cell lung carcinoma model confirmed upregulation of miR-21 with RAS activation, and downregulation of several negative RAS regulators and tumor suppressors including SPRY1, SPRY2, BTG2, and PDCD4 . In vitro studies have reported several other miR-21 affected tumor suppressor mRNAs, including PTEN . Deletion of miR-21 has also been shown to repress tumor formation in KRAS mutated mice and makes in vitro cells more sensitive for chemotherapy, possibly by repression of the AKT pathway through p85α inhibition . MiR-21 may thus be potentially interesting as pharmacological target as well.
Research on miRs is booming, and many recent studies have found other and new miRs not reported in the meta-reviews, also to be excellent prognostic markers for PDAC [57–60]. Other forms of non-coding RNA like long non-coding RNA (lncRNA), small nucleolar-derived RNA (sdRNA) and piwi-interacting RNA (piRNA) are also differentially altered in PDAC .
Changes in gene expression
Several studies have tried to classify PDAC into clinically meaningful subgroups based on gene expression profiles. Collisson et al. clustered 3 distinct subtypes of PDAC (classical, quasimesenchymal and exocrine-like) with different responses to treatment and different patient prognosis . Recently Moffitt et al. used blinded digital separation of PDAC gene expression microarray data to cluster primary carcinoma, metastasis, and normal samples . They found that the groups described by Collisson et al. did not hold predictive power in their samples. Instead they identified two tumor subtypes: “classical” which had great overlap with the classical group of Collison et al., and basal-like which had a worse outcome and was molecularly similar to basal tumors in the bladder. Furthermore, as they could digitally separate tumor and stromal expression, they defined “normal” and “activated” stromal subtypes, which they reported to be independent prognostic factors . Currently, there is no well-established clinically meaningful subclassification of PDAC.
Differentially upregulated genes by mRNA can result in upregulation of proteins, which - just like DNA, miRNA and mRNA - can be used as potential diagnostic biomarkers of malignancy in pancreatic juice and blood . Furthermore, specific mutated proteins such as mutant Ras can be distinguished from wild-type Ras by mass spectrometry in tissue and pancreatic juice, which might be even more useful for early diagnosis of PDAC and its precursors . Other highly expressed proteins including mesothelin are potentially targetable with immunotherapy . Mutant proteins can also give rise to aberrant epitopes on tumor MHC receptors, which then can specifically be targeted by adoptive T-cell therapy as elegantly demonstrated in other human cancers .
Stroma and the tumor microenvironment
In addition to genetic alterations, the tumor microenvironment and changes in epigenetic regulation play important roles in promoting or suppressing PDAC growth [68, 69] and stromal expression profile has shown prognostic significance . Also, by overexpression of hyaluronic acid and collagens, the extracellular matrix can cause a high interstitial fluid pressure, causing compression of blood vessels and therefor hindering passive transport processes of chemotherapeutics. Targeting these stromal factors might improve therapeutic response .
PDAC and its microenvironment are also marked by distinct immune cell populations along its path of tumorigenesis, creating an immunosuppressive environment that shields tumor cells from detection and renders them resistant to immune-based therapies. Regulatory T-cells (T-reg) seem to play a role from the earliest stage of precursor disease potentially undermining anti-tumor effector T-cell activity; high intratumor T-reg/CD4+ T-cell ratio is a prognostic factor for worse survival. Therapeutically targeting of T-regs in malignancy is currently under investigation .
Pancreatic neuroendocrine tumors
Pancreatic neuroendocrine tumors (PanNET) are the second most common malignant tumor of the pancreas . PanNETs occur mostly in elderly patients, with a mean age of 58 years . Although prognosis of PanNET is better than PDAC, it is still poor with an average overall 5 year survival of only 42 % . Functional PanNETs are well known for their classic clinical presentations including Whipple’s triad (insulinoma) and Zollinger-Ellison syndrome (gastrinoma), in which hypersecretion of pancreatic or non-pancreatic hormones have systemic effects. When no systemic effects of hormone production are seen, PanNETs are by definition classified as non-functional .
A number of TNM classification systems with prognostic value for PanNET patients have been developed by the WHO2010 [World Health Organization], ENETs [European Neuroendocrine Tumor Society] and AJCC [American Joint Committee on Cancer] . Although it is at present not completely established which system should be preferred, a recent study suggests that the ENETs TNM classification was superior to the AJCC/WHO2010 classification/grading System and more accurate .
Gross and microscopic findings
Immunohistochemical expression of neuroendocrine markers synaptophysin and chromogranin A is seen in the majority of PanNETs , and peptide hormones (e.g. insulin and glucagon) can also confirm neuroendocrine differentiation. Large cell PanNECs typically express neuroendocrine markers, but small cell PanNECs may not. Both large and small cell PanNECs are typically negative for peptide hormones . Aberrant nuclear TP53 expression is commonly found in PanNECs but is never seen in PanNETs . The main microscopic differential diagnosis consists of acinar cell carcinoma (Fig. 7), pancreatoblastoma, mixed neuroendocrine tumors, and dedifferentiated PDAC (Table 1).
Genetic signature: familial PanNET
The vast majority (90 %) of PanNETs occur sporadically, but some occur in the setting of associated familial syndromes including multiple endocrine neoplasia type 1 (MEN1), von Hippel-Lindau syndrome (VHL), neurofibromatosis type 1 (NF1), tuberous sclerosis complex (TSC) and the recently discovered glucagon cell adenomatosis (GCA) [5, 79]. Studies of PanNETs occurring in patients with an underlying genetic predisposition have provided important insight into the genes involved in tumorigenesis of PanNETs. Tumorigenesis in these syndromes follow a hyperplasia-neoplasia sequence in which hyperplastic nodules transform over time into frank neoplasms [79–81]. It is assumed that sporadic cases PanNETs develop through a similar hyperplasia-neoplasia sequence. PanNECs are not associated with germline syndromes and are believed to follow a different pathway of tumorigenesis .
Genetic signature: sporadic PanNET
Whole exome and targeted sequencing of well differentiated PanNETs (grade 1 and 2) of patients without a familial syndrome showed an average of only 16 nonsynonymous mutations per tumor . Somatic mutations of the MEN1 gene were found in 45 % of these sporadic PanNETs . Others have previously reported loss of heterozygosity at the MEN1 locus in 20–45 % of sporadic PanNETs [83, 84]. In addition to prevalent somatic MEN1 mutations, 45 % of sporadic PanNETs harbored somatic inactivating mutations in ATRX or DAXX, and 15 % had mutations in mTOR pathway genes (in which TSC1/2 functions) . Remarkably, the alternative lengthening of telomeres (ALT) phenotype, a mechanism of telomerase independent telomere maintenance to overcome cell death, was found to correlated perfectly with loss of ATRX and DAXX [85–87]. Moreover, many gains and losses have been reported in sporadic PanNETs [88, 89]. VHL is deleted in 18 % of sporadic PanNET, and recently allelic loss of PHLDA3 - a regulator of the mTOR pathway - was found in 70 % of sporadic PanNETs [90, 91].
Mutations in pancreatic MEN1 syndrome associated microadenomas and PanNETs, sporadic PanNETs and PanNECs
MEN1 syndrome microadenomas
Up to 100 %
MEN-1 syndrome tumors
Up to 100 %
G1/G2 Pancreatic neuroendocrine tumors
G3 Pancreatic neuroendocrine carcinomas
As mentioned earlier, sporadic PanNETs likely develop through a similar hyperplasia-neoplasia sequence as familial PanNETs. MEN1 syndrome associated PanNETs show loss of the wild-type MEN1 allele in up to 100 % of cases (compared to 19–44 % in sporadic PanNETs). Loss of the wild-type MEN1 allele is also seen in microadenomas of MEN1 patients and is therefore an early event [83, 92–94]. Loss of Menin can be demonstrated by immunohistochemistry (Fig. 4c and d). In non-syndromic patients, it is unclear which initiating events cause microadenomas to develop, also bearing in mind that not all sporadic PanNETs have MEN1 alterations.
ATRX and DAXX mutations with ALT activation have been reported to correlate significantly with tumor size and T-stage, and are thus considered a late event in tumor progression. In total 45 % of PanNETs have alterations in one of both genes [86, 87]. Although less likely, it is not known if sporadic microadenomas have ATRX or DAXX alterations.
In contrast to sporadic PanNETs, ATRX and DAXX alterations were only seen in 6 % of PanNETs from MEN1 syndrome patients (but also as late event) and in 0 % of microadenomas suggesting a less important role for these alterations in MEN1 syndrome tumor progression .
Few studies investigated epigenetic alterations in PanNETs. Hypomethylation in LINE-1 was reported in 20 % of well-differentiated PanNETs, and strongly correlated with poor prognosis and high stage . Other studies found hypermethylation of the tumor suppressor gene RASSF1A in 75–80 % of PanNETs with associated decreased protein expression of RASSF1A [97, 98]. Interestingly, the RASSF1 gene has six other transcriptional variants (B-G), of which RASSF1C was seen to be expressed 10 times higher in PanNET than in normal tissue . An in vitro study found the balance between isoform A and C crucial for the expression of β-catenin, where silencing RASSF1A and expression of RASSF1C promotes the accumulation of β-catenin by inhibiting its hTrCP mediated proteasomal degradation , possibly sustaining Wnt signaling in PanNET. RASSF1A furthermore represses miR-21 . Interestingly overexpression of miR-21 which is also upregulated in PDAC, was strongly associated with both a high Ki67 proliferation index and metastasis to the liver , potentially giving the RAS pathway a role in higher grades of PanNET .
Studies of microRNA expression have suggested that miR-193b is a differential marker for PanNET in tissue and serum compared to normal . MiR-103 and miR-107 were also overexpressed and miR-155 was downregulated in PanNET .
Changes in gene expression
Analyses of gene-expression patterns in PanNETs have found that a number of genes are upregulated in PanNETs, including oncogenes (e.g. MLLT10/AF10), cell adhesion molecules (e.g. fibronectin) and growth factors (e.g. IGFBP3) compared to normal islets. Growth factor IGFBP3 was upregulated significantly more in metastases compared to primary PanNETs. In addition, downregulation of tumor suppressor genes (NME3), cell checkpoint proteins (p21/Cip1), and transcription factor JunD that is inhibited by Menin, have been reported . Comparison of gene expression between sporadic PanNETs and VHL associated PanNETs, found that VHL associated tumors follow a specific pathway with upregulation of genes related to hypoxia inducible factor proteins (HIF) and vascular endothelial growth factor (VEGF), both of which regulate angiogenesis .
Therapeutically, PanNETs relying on angiogenesis are theoretically targetable by blocking specific pathway components (e.g. VEGF inhibitors) [105–107]. Similarly, PanNETs relying on mTOR activation should be particularly susceptible to everolimus, a drug which has shown to significantly prolong survival .
Solid-pseudopapillary neoplasms (SPN) are rare tumors accounting for 1–2 % of all malignant neoplasms of the pancreas. These neoplasms mostly occur in female (90 %) patients at an average age of 29 years (SD: 14). SPNs have a low malignant potential. SPNs are usually limited to the pancreas, but 8 % of patients present with distant metastasis. Disease free survival after curative resection is 95 % .
Gross and microscopic findings
Genetic signatures: sporadic and familial SPN
Activating mutations in CTNNB1 (β-catenin) occur in virtually all SPNs, reflected by the nuclear accumulation of β-catenin seen in immunohistochemistry [115, 116]. Recent whole exome sequencing of SPNs found on average of only three non-synonymous mutations per tumor, which is extremely low compared to all of the other pancreatic neoplasms. The CTNNB1 gene mutations all occur in the critical region between codons 32 and 37 preventing phosphorylation and subsequent degradation of the β-catenin protein.
Two SPNs have been reported in patients with Familial Adenomatous Polyposis (FAP), caused by germline APC mutations, confirming that an APC mutation is also capable of driving SPN development [117, 118]. The female predominance of SPN is not understood, but it has been shown that estrogenic molecules can influence proliferation in vitro .
Undegraded β-catenin in SPNs forms a complex with LEF1, enters the nucleus and activates transcription of several oncogenes including cyclin-D1 that is overexpressed in 70–100 % of SPNs [115, 116, 120]. Cyclin-D1 and its cyclin-dependent kinases phosphorylate the Retinoblastoma (Rb) protein, which drives the cell in the S-phase of the cell cycle. P21 and P27, known to inhibit Rb phosphorylation, were shown to be upregulated in 86 and 100 % of SPNs, respectively. Interestingly, hyperphosphorylated Rb was not detectable, which might explain the low growth-rate of SPN compared to other β-catenin mutated tumors .
MicroRNA and changes in gene expression
Few studies investigated gene expression and epigenetic alterations in SPN, and all are complicated by the fact that the normal cell that is the counterpart of the neoplastic cell in SPNs has not been identified. These studies are therefore, at best, comparing apples to oranges. One study investigated mRNA and miR expression in 14 SPNs and found 1686 genes to be differentially expressed compared to normal pancreatic parenchyma (which is composed mostly of acinar cells) . These differentially expressed genes activated the Wnt pathway, Hedgehog (HH) pathway, androgen-receptor (AR) pathway and epithelial mesenchymal transition. Moreover, 79 miRs were differentially expressed in these SPNs (49 miRs upregulated, 30 miRs downregulated). By predicting miR targets, 17 of the 30 downregulated miRs possibly upregulated mRNAs in the Wnt/HH/AR pathways . A proteomic profile did not significantly confirm these pathways, but did find upregulation of several proteins involved in the Wnt pathway . Another mRNA analysis in SPN found the NOTCH pathway to be activated in addition to the Wnt Pathway . Large chromosomal rearrangements, aberrant methylation or other non-coding RNAs have not been investigated in SPN.
Acinar cell carcinoma
Acinar cell carcinoma (ACC) is a rare neoplasm accounting for <1 % of malignant pancreatic tumors. Median age of presentation is 56 years (SD: 15). Most cases occur in late adulthood, but 6 % of cases occur between 8 and 15 years of age. There is no clear syndrome associated with ACC, but ACC has been reported in patients with Peutz-Jeghers syndrome, Lynch syndrome, Familial Adenomatous Polyposis, and in a patient with a germline BRCA1 mutation [125–128].
Although 60 % of patients with ACC have distant metastasis at presentation (similar to PDAC), overall 5-year survival is 45 % . Some ACCs release digestive enzymes and other products into the blood stream, including alpha-fetoprotein and lipase [130, 131]. About 15 % of patients with ACC present with metastatic fat necrosis, peripheral eosinophilia and arthralgias caused by elevated serum lipase .
Gross and microscopic findings
Genetic signature: sporadic ACC
Whole exome sequencing of ACCs revealed that these tumors, on average, harbor a large number of mutations (131 nonsynonymous somatic mutations per tumor in one study). Also, chromosomal instability is seen with a relative high fractional allelic loss compared to PDAC. Chromosome 11p is lost in ~50 % of ACC, suggesting that a locus on 11p may play an important role in ACC development [136, 137]. Many other gains and losses have been reported including loss of the TP53 locus on 17p (25 %), the APC locus on 5q21 (50 %), the SMAD4 locus on 18q (60 %) and gain of the CTNNB1 (β-catenin) locus on 3p [137–140]. Whole exome sequencing data further revealed that no single gene was mutated in more than 30 % of ACCs. The genes targeted include SMAD4 (25 %); JAK1 (20 %); BRAF, RB1, TP53 (13 % each); APC, ARID1A, GNAS, MLL3, PTEN (9 % each) and ATM, BAP1, BRCA2 PALB2, MEN1, RNF43 (4 % each) . Recently, a review combined all ACC sequencing studies and found similar results: SMAD4 mutations in 19 % of ACC, CTNNB1/APC in 15 %, TP53 in 12 %, and BRAF in 6 % .
Ten percent of ACCs appear to be microsatellite instable and may thus be sensitive to immunotherapy [19, 139]. In addition, a number of other potentially actionable mutations, such as BRCA and JAK1 mutations, have been found in ACCs . BRAF mutations are rarely seen in ACC; notably, comprehensive genomic profiling identified rearrangements in 23 % of ACC involving either BRAF or RAS. The most prevalent fusion SND1-BRAF activated the MAPK pathway and made the cells sensitive for MEK inhibitor trametinib, so this pathway might be useful as therapeutic target for a subgroup of patients with ACC .
Epigenetic alterations and MicroRNA
The importance of the APC/β-catenin pathway for ACC becomes more evident when methylation is taken into account. RASSF1 and APC were reported to be methylated in 60 and 56 % of ACCs, respectively . A different study confirmed the high percentage of ACC with APC methylation, and also found significantly more MLH1 methylation in ACC compared to PDAC and PanNET .
MiR has only been studied in four ACCs in comparison to PanNETs. Surprisingly, 93 % of differentially upregulated miRs and 70 % of differentially downregulated miRs in ACC compared to normal pancreas were also up- or downregulated in PanNET. No specific miR was up- or downregulated in ACC versus PanNET. Overexpression of miR-17, miR-20, miR-21, miR-92-1, miR-103 and miR-107; and lack of expression of miR-155 was found in ACC .
Pancreatoblastoma (PB) is another rare tumor with acinar differentiation. PBs usually present in childhood at an average age of 5 years (SD: 2), but there is also a rare group that presents at adult age [144, 145]. The overall 5 year survival is approximately 50 %. PB is associated with Beckwith-Wiedemann syndrome, an (epi)genetic overgrowth-cancer predisposition disorder characterized by exomphalos, macroglossia, and gigantism . As in ACC, serum alpha-fetoprotein and lipase can be elevated in PB and pancreatic panniculitis has also been reported.
Gross and microscopic findings
Genetic signature and epigenetic alterations
Patients with Beckwith-Wiedemann syndrome (germline loss of heterozygosity of chromosome 11p) have a significantly higher risk of pediatric tumors, amongst others pancreatoblastoma which has been reported in several BWS patients [144, 146]. Interestingly loss of 11p also occurs in more than 80 % of sporadic PBs . Likely, several genes on 11p that are expressed according to their parental origin (imprinting) play a role in PB tumorigenesis . The APC/β-catenin pathway also plays an important role with 40 to 60 % of sporadic PBs having mutations in CTNN1B. In addition, a case with biallelic inactivation of APC in a FAP patient has been reported [115, 147]. Aberrant methylation of the promoter RASSF1A was seen in in 2 cases [149, 150]. No further characterization in epigenetics has been done.
The underlying alterations of pancreatic cancer demonstrate that the traditional histopathologic classification of these neoplasms has a solid genetic basis. The genetic changes within each tumor type add to the pathologic classification with the identification of new prognostic markers and new therapeutic targets.
Even with all of the advances in our understanding of genetics of pancreatic neoplasms, the cornerstone to a correct diagnosis is still traditional gross and microscopic examination. Especially the importance of gross inspection is often less appreciated, and yet this can already give important clues to a correct diagnosis. For instance, some tumors are typically solid whereas others are typically cystic. Also, location of a tumor in the pancreas (head, body of tail) and whether a tumor is well circumscribed or ill-defined can point in a certain direction. Most diagnoses of pancreatic tumors can be made without help of additional genetic studies although sometimes proof of a specific genetic alteration in a tumor can further establish a presumed diagnosis. The best example clearly is the SPN, in which virtually all cases have the same underlying CTNNB1 mutation and immunohistochemistry for β-catenin is routinely used in the diagnostic workup. Also, loss of SMAD4 immunohistochemistry is frequently used in daily practice to suggest pancreatic origin of an adenocarcinoma in a distant site in a patient with a pancreatic mass.
Slowly we are heading towards an era where the combination of classical morphologic pathology and genetic characterization will be essential to establish a more accurate diagnosis. Furthermore, genetic profiling is becoming more and more important for treatment choices; for instance with the choice for a targeted therapy, such as mTOR inhibitors in pancreatic neuroendocrine tumors or PARP inhibitors in BRCA deficient tumors. In the near future, stromal activation, miRNA and methylation markers might influence our choices by better predicting tumor behavior and prognosis. Ideally, would use our knowledge of genetic and epigenetic alterations to screen the blood and pancreatic juices for genetic alteration that identify patients with a high-risk precursor lesion or an early form of cancer. Although our understanding of the genetics of pancreatic cancer has immensely increased in the last decade, many years of research are still needed to integrate all this knowledge and translate it into day-to-day practice.
Dutch Cancer Society (KWF).
Lisa Waller Hayes Foundation.
Dutch Digestive Foundation (MLDS; CDG 14–02).
WMH drafted the manuscript, LAAB, RHH and GJAO helped to draft and revise the manuscript. All authors read and approved the final manuscript.
WMH, LAAB and GJAO have no competing interests to declare. RHH receives royalty payments from Myriad Genetics for the PALB2 invention, and RHH is on the Board of MiDiagnostics. Both relationships are overseen by the Johns Hopkins Office of Policy Coordination.
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