Literature DB >> 34889867

Carboxypeptidase A1 (CPA1) Immunohistochemistry Is Highly Sensitive and Specific for Acinar Cell Carcinoma (ACC) of the Pancreas.

Ria Uhlig1, Hendrina Contreras1, Sören Weidemann1, Natalia Gorbokon1, Anne Menz1, Franziska Büscheck1, Andreas M Luebke1, Martina Kluth1, Claudia Hube-Magg1, Andrea Hinsch1, Doris Höflmayer1, Christoph Fraune1, Katharina Möller1, Christian Bernreuther1, Patrick Lebok1, Guido Sauter1, Waldemar Wilczak1, Jakob Izbicki2, Daniel Perez2, Jörg Schrader2,3, Stefan Steurer1, Eike Burandt1, Rainer Krech4, David Dum1, Till Krech1,4, Andreas Marx1,5, Ronald Simon1, Sarah Minner1, Frank Jacobsen1, Till S Clauditz1.   

Abstract

Carboxypeptidase A1 (CPA1) is a zinc metalloprotease that is produced in pancreatic acinar cells and plays a role in cleaving C-terminal branched-chain and aromatic amino acids from dietary proteins. This study assessed the utility of immunohistochemical CPA1 staining for diagnosing pancreatic acinar cell carcinoma (ACC). A total of 12,274 tumor samples from 132 different tumor types and subtypes as well as 8 samples each of 76 different normal tissue types were interpretable by immunohistochemistry in a tissue microarray format. CPA1 was strongly expressed in acinar cells of all normal pancreas samples but not in any other normal tissues. CPA1 immunostaining was detected in 100% of 11 pancreatic ACCs and 1 mixed acinar endocrine carcinoma, but absent in 449 pancreatic ductal adenocarcinomas, 75 adenocarcinomas of the ampulla Vateri, and 11,739 other evaluable cancers from 128 different tumor entities. A weak to moderate diffuse staining of epithelial and stromal cells of cancer tissues immediately adjacent to non-neoplastic pancreatic acinar cells often occurred and was considered to be caused by the diffusion of the highly abundant CPA1 from normal acinar cells that may have suffered some autolytic cell damage. In conclusion, our data show that CPA1 is a highly sensitive and largely specific marker for normal and neoplastic pancreatic acinar cells. CPA1 immunohistochemistry greatly facilitates the otherwise often difficult diagnosis of pancreatic ACC.
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Year:  2022        PMID: 34889867      PMCID: PMC8860221          DOI: 10.1097/PAS.0000000000001817

Source DB:  PubMed          Journal:  Am J Surg Pathol        ISSN: 0147-5185            Impact factor:   6.394


Acinar cell carcinoma (ACC) of the pancreas represents a rare cancer type derived from pancreatic acinar cells that accounts for <2% of all pancreatic neoplasms.1 Most ACCs occur as pure ACCs, but mixed carcinomas with >25% of additional cell types also occur and include mixed acinar-neuroendocrine carcinoma (MAEC) and mixed acinar-ductal carcinoma.2 A recent analysis of 57,804 pancreatic cancer patients who underwent surgical resection showed a median overall survival (mOS) of 67.5 months and 51% 5-year OS for ACC.3 In case reports, OS reached up to 123 months.4 Accordingly, the prognosis of pancreatic ACC is markedly better than the 22% 5-year OS of resected ductal adenocarcinoma but significantly worse than the 84% 5-year OS of neuroendocrine tumors (NETs) of the pancreas.3 Considerable differences in the molecular alterations seen between these tumor entities are likely to be responsible for marked differences in cancer aggressiveness and also in response to chemotherapy.5 A precise distinction of these pancreatic tumor entities by the pathologist is thus of high importance. Due to its relatively broad morphologic spectrum caused by some morphologic and immunohistochemical overlap with NETs, ACC can represent a difficult diagnosis for pathologists, and false diagnoses do occur both on histologic and cytologic samples.6–8 The correct diagnosis in cases with nonprototypic morphology requires the use of immunohistochemical markers such as trypsin, chymotrypsin, BCL-10, cytokeratin 19, and cytokeratin 7.9 However, none of these antibodies are completely sensitive and specific for ACC.10,11 Carboxypeptidase A1 (CPA1) is a zinc metalloprotease coded by the CPA1 gene located at 7q32.2. It is a 34.6 kDa protein which is produced in the pancreatic acinar cells. It is involved in zymogen inhibition and was shown to preferentially cleave C-terminal branched-chain and aromatic amino acids from dietary proteins.12 Mutations of CPA1 gene have been linked to chronic pancreatitis.13,14 Elevated CPA1 serum protein levels have been described in patients with pancreatic cancer.15 CPA1 immunohistochemistry may be suited for facilitating a safe diagnosis of ACC. In a recent study, analyzing 14 ACC and 5 MAEC as well as 80 nonacinar pancreatic tumors, Said et al16 found a 100% sensitivity and a 95% specificity of a positive CPA1 immunostaining for ACC. To further assess the potential of CPA1 immunostaining for securing the diagnosis of pancreatic ACC an extensive survey of CPA1 immunostaining in nonpancreatic tumor types is needed. In this study, CPA1 expression was thus analyzed in 15,680 tumor tissue samples from 132 different tumor types and subtypes as well as 76 different non-neoplastic tissue types by immunohistochemistry in a tissue microarray (TMA) format.

MATERIALS AND METHODS

Tissue Microarrays

Preexisting TMAs, which have been used in several previous studies17–20 were also used for this study. Our normal tissue TMA was composed of 8 samples from 8 different donors for each of 76 different normal tissue types (608 samples on 1 slide). The cancer TMAs contained a total of 15,680 primary tumors from 132 tumor types and subtypes. The composition of both normal and cancer TMAs is described in detail in the Results section. Our “pancreatic heterogeneity TMA” contained up to 9 samples (mean: 6.7) each from 224 pancreatic ductal adenocarcinomas that were taken from 3 to 9 (mean: 5.5) available tumor containing tissue blocks per patient. These tumors partially overlapped with the set analyzed in the primary tumor TMAs. All samples were from the archives of the Institutes of Pathology, University Hospital of Hamburg, Germany, the Institute of Pathology, Clinical Center Osnabrueck, Germany, and Department of Pathology, Academic Hospital Fuerth, Germany. Tissues were fixed in 4% buffered formalin and then embedded in paraffin. Decalcification was not performed on any tissue samples. Time of tissue acquisition to fixation and fixation duration was not standardized. TMA tissue spot diameter was 0.6 mm. The use of archived remnants of diagnostic tissues for manufacturing of TMAs and their analysis for research purposes as well as patient data analysis has been approved by local laws (HmbKHG, §12) and by the local ethics committee (Ethics commission Hamburg, WF-049/09). All work has been carried out in compliance with the Helsinki Declaration.

Immunohistochemistry

Freshly cut TMA sections were immunostained on 1 day and in 1 experiment. Slides were deparaffinized with xylol, rehydrated through a graded alcohol series, and exposed to heat-induced antigen retrieval for 5 minutes in an autoclave at 121°C in pH 7.8 DakoTarget Retrieval Solution (Agilent, California; #S2367). Endogenous peroxidase activity was blocked with Dako Peroxidase Blocking Solution (Agilent; #52023) for 10 minutes. A primary antibody specific for CPA1 (mouse monoclonal, MSVA-601M, MS Validated Antibodies, Hamburg, Germany, ms-validatedantibodies.com) was applied at 37°C for 60 minutes at a dilution of 1:150. Bound antibody was then visualized using the EnVision Kit (Agilent; #K5007) according to the manufacturer’s directions. The sections were counterstained with haemalaun. One pathologist (S.M.) evaluated all TMA slides. For normal tissues, the immunostaining staining intensity of positive cells was semi-quantitively recorded (+, ++, +++). For tumor tissues, the percentage of positive neoplastic cells was estimated, and the immunostaining staining intensity was semiquantitatively recorded (0, 1+, 2+, 3+). For statistical analyses, the staining results were categorized into 4 groups. Tumors without any staining were considered negative. Tumors with 1+ staining intensity in ≤70% of cells and 2+ intensity in ≤30% of cells were considered weakly positive. Tumors with 1+ staining intensity in >70% of cells, 2+ intensity in 31% to 70%, or 3+ intensity in ≤30% were considered moderately positive. Tumors with 2+ intensity in >70% or 3+ intensity in >30% of cells were considered strongly positive.

RESULTS

Technical Issues

A total of 12,274 (78.3%) of 15,680 tumor samples were interpretable in our TMA analysis. Noninterpretable samples demonstrated a lack of unequivocal tumor cells or loss of the tissue spots during technical procedures. At least 4 samples of each normal tissue type were evaluable.

CPA1 in Normal Tissues

A strong (3+) cytoplasmatic CPA1 staining was only found in the pancreas where staining was most intense in acinar cells (Fig. 1). However, in cases with particularly strong acinar cell positivity, some fading of the staining into adjacent other cell types was occasionally observed. CPA1 staining was completely absent in all analyzed extrapancreatic tissues including skeletal muscle, heart muscle, smooth muscle, myometrium of the uterus, corpus spongiosum of the penis, ovarian stroma, fat, skin (including hair follicle and sebaceous glands), oral mucosa of the lip, oral cavity, surface epithelium of the tonsil, and transitional mucosa of the anal canal, ectocervix, squamous epithelium of the esophagus, urothelium of the renal pelvis and urinary bladder, decidua, placental trophoblastic cells, lymph node, spleen, thymus, tonsil, mucosa of the stomach, duodenum, ileum, appendix, colon, rectum and gall bladder, liver, parotid gland, submandibular gland, sublingual gland, Brunner gland of the duodenum, cortex and medulla of the kidney, prostate, seminal vesicle, epididymis, testis, respiratory epithelium and glands of bronchi and sinus paranasales, lung, breast, endocervix, endometrium, fallopian tube, corpus luteum and follicular cyst of the ovary, adrenal gland, parathyroid gland, cerebellum, cerebrum, and pituitary gland.
FIGURE 1

CPA1 immunostaining in normal tissues. A, Overview of the normal tissue microarray. Eight spots of acinar parenchyma in 1 row show a strong CPA1-staining (black rectangular). In the row of thymic tissue, acinar parenchyma has been mistakenly used (red circle). None of the other normal tissues show any positive CPA1-staining. B, Enlargement of one tissue microarray spot showing strong CPA1-staining in acinar parenchyma of the pancreas. Absent staining in Islets of Langerhans*.

CPA1 immunostaining in normal tissues. A, Overview of the normal tissue microarray. Eight spots of acinar parenchyma in 1 row show a strong CPA1-staining (black rectangular). In the row of thymic tissue, acinar parenchyma has been mistakenly used (red circle). None of the other normal tissues show any positive CPA1-staining. B, Enlargement of one tissue microarray spot showing strong CPA1-staining in acinar parenchyma of the pancreas. Absent staining in Islets of Langerhans*.

CPA1 in Neoplastic Tissues

A strong cytoplasmic CPA1 immunostaining was observed in 6 of 6 previously diagnosed ACC (Fig. 2). A strong CPA1 immunostaining was also seen in 5 tumors initially classified as NET (G3; n=1), neuroendocrine carcinoma (NEC; n=2) or adenocarcinoma of the pancreas (n=2), and in 1 tumor initially classified as NEC, large cell variant. However, after comprehensive histologic reevaluation by 4 pathologists (S.M., G.S., T.S.C., and F.J.), these tumors were subsequently reclassified as pancreatic ACC and mixed acinar endocrine carcinoma (MAEC) (see the Discussion section). CPA1 immunostaining was completely absent in all other 12,262 evaluable tumors from 130 different tumor types and subtypes (Table 1). This included 128 evaluable acinic cell carcinomas derived from salivary glands.
FIGURE 2

CPA1 immunostaining in tumors. A, Strong positive CPA1 staining in acinar cell carcinoma. B, Absent CPA1 staining in a neuroendocrine tumor of the pancreas. Positive staining in non-neoplastic acinar parenchyma of the pancreas.

TABLE 1

CPA1 Immunostaining in Tumors

CPA1 Immunostaining
Tumor EntityOn TMA (n)Analyzable (n)Negative (%)Weak (%)Moderate (%)Strong (%)
Tumors of the skinPilomatrixoma3532100000
Basal cell carcinoma8856100000
Benign nevus2926100000
Squamous cell carcinoma of the skin9082100000
Malignant melanoma4844100000
Merkel cell carcinoma4644100000
Tumors of the head and neckSquamous cell carcinoma of the larynx11096100000
Squamous cell carcinoma of the pharynx6046100000
Oral squamous cell carcinoma (floor of the mouth)130118100000
Pleomorphic adenoma of the parotid gland5044100000
Warthin tumor of the parotid gland10491100000
Adenocarcinoma, not otherwise specified (NOS) (papillary cystadenocarcinoma)1412100000
Salivary duct carcinoma1512100000
Acinic cell carcinoma of the salivary gland181128100000
Adenocarcinoma NOS of the salivary gland10969100000
Adenoid cystic carcinoma of the salivary gland18099100000
Basal cell adenocarcinoma of the salivary gland2521100000
Basal cell adenoma of the salivary gland10186100000
Epithelial-myoepithelial carcinoma of the salivary gland5351100000
Mucoepidermoid carcinoma of the salivary gland343239100000
Myoepithelial carcinoma of the salivary gland2120100000
Myoepithelioma of the salivary gland119100000
Oncocytic carcinoma of the salivary gland1212100000
Polymorphous adenocarcinoma, low grade, of the salivary gland4132100000
Pleomorphic adenoma of the salivary gland5332100000
Tumors of the lung, pleura, and thymusAdenocarcinoma of the lung246160100000
Squamous cell carcinoma of the lung13065100000
Small cell carcinoma of the lung2016100000
Mesothelioma, epitheloid3932100000
Mesothelioma, other types7663100000
Thymoma2929100000
Tumors of the female genital tractSquamous cell carcinoma of the vagina7863100000
Squamous cell carcinoma of the vulva130116100000
Squamous cell carcinoma of the cervix130124100000
Endometrioid endometrial carcinoma236223100000
Endometrial serous carcinoma8272100000
Carcinosarcoma of the uterus4838100000
Endometrial carcinoma, high grade, G31313100000
Endometrial clear cell carcinoma87100000
Endometrioid carcinoma of the ovary11091100000
Serous carcinoma of the ovary559462100000
Mucinous carcinoma of the ovary9671100000
Clear cell carcinoma of the ovary5040100000
Carcinosarcoma of the ovary4738100000
Brenner tumor99100000
Tumors of the breastInvasive breast carcinoma of no special type13911185100000
Lobular carcinoma of the breast294236100000
Medullary carcinoma of the breast2626100000
Tubular carcinoma of the breast2726100000
Mucinous carcinoma of the breast5844100000
Phyllodes tumor of the breast5047100000
Tumors of the digestive systemAdenomatous polyp, low-grade dysplasia5049100000
Adenomatous polyp, high-grade dysplasia5049100000
Adenocarcinoma of the colon956721100000
Gastric adenocarcinoma, diffuse type226129100000
Gastric adenocarcinoma, intestinal type224134100000
Gastric adenocarcinoma, mixed type6247100000
Adenocarcinoma of the esophagus13360100000
Squamous cell carcinoma of the esophagus12442100000
Squamous cell carcinoma of the anal canal9178100000
Cholangiocarcinoma114108100000
Hepatocellular carcinoma5050100000
Ductal adenocarcinoma of the pancreas662449100000
Pancreatic/Ampullary adenocarcinoma11975100000
Acinar cell carcinoma of the pancreas11110018.281.8
Mixed acinar endocrine carcinoma of the pancreas11000100
Gastrointestinal stromal tumor (GIST)5049100000
Tumors of the urinary systemUrothelial carcinoma, pT2-4 G31207613100000
Small cell neuroendocrine carcinoma of the bladder1818100000
Sarcomatoid urothelial carcinoma2524100000
Clear cell renal cell carcinoma858759100000
Papillary renal cell carcinoma255208100000
Clear cell (tubulo) papillary renal cell carcinoma2119100000
Chromophobe renal cell carcinoma131118100000
Oncocytoma177147100000
Tumors of the male genital organsAdenocarcinoma of the prostate, Gleason 3+38379100000
Adenocarcinoma of the prostate, Gleason 4+48073100000
Adenocarcinoma of the prostate, Gleason 5+58580100000
Adenocarcinoma of the prostate (recurrence)261231100000
Small cell neuroendocrine carcinoma of the prostate1716100000
Seminoma621444100000
Embryonal carcinoma of the testis5039100000
Yolk sack tumor5032100000
Teratoma5044100000
Squamous cell carcinoma of the penis8066100000
Tumors of endocrine organsAdenoma of the thyroid gland114108100000
Papillary thyroid carcinoma392361100000
Follicular thyroid carcinoma158147100000
Medullary thyroid carcinoma107100100000
Anaplastic thyroid carcinoma4543100000
Adrenal cortical adenoma5044100000
Adrenal cortical carcinoma2626100000
Phaeochromocytoma5050100000
Appendix, neuroendocrine tumor (NET)2212100000
Colorectal, NET1110100000
Ileum, NET4946100000
Lung, NET1917100000
Pancreas, NET9887100000
Colorectal, NEC1210100000
Gallbladder, NEC44100000
Pancreas, NEC1414100000
Tumors of hematopoietic and lymphoid tissuesHodgkin lymphoma10376100000
Non-Hodgkin lymphoma6254100000
Small lymphocytic lymphoma, B-cell type (B-SLL/B-CLL)5030100000
Diffuse large B-cell lymphoma (DLBCL)11494100000
Follicular lymphoma8863100000
T-cell non-Hodgkin lymphoma2416100000
Mantle cell lymphoma1813100000
Marginal zone lymphoma1610100000
DLBCL in the testis1613100000
Burkitt lymphoma51100000
Tumors of soft tissue and boneTenosynovial giant cell tumor4544100000
Granular cell tumor5344100000
Leiomyoma5048100000
Leiomyosarcoma8784100000
Liposarcoma132129100000
Malignant peripheral nerve sheath tumor (MPNST)1311100000
Myofibrosarcoma2626100000
Angiosarcoma7366100000
Angiomyolipoma9191100000
Dermatofibrosarcoma protuberans2118100000
Ganglioneuroma1413100000
Kaposi sarcoma86100000
Neurofibroma11796100000
Sarcoma, NOS7559100000
Paraganglioma4137100000
Primitive neuroectodermal tumor (PNET)2318100000
Rhabdomyosarcoma77100000
Schwannoma121106100000
Synovial sarcoma1211100000
Osteosarcoma4335100000
Chondrosarcoma3817100000

All reclassified cases are included in this table. All positive cases are highlighted in gray.

CPA1 immunostaining in tumors. A, Strong positive CPA1 staining in acinar cell carcinoma. B, Absent CPA1 staining in a neuroendocrine tumor of the pancreas. Positive staining in non-neoplastic acinar parenchyma of the pancreas. CPA1 Immunostaining in Tumors All reclassified cases are included in this table. All positive cases are highlighted in gray.

CPA1 Heterogeneity Analyses

In an attempt to identify focal CPA1 positivity in pancreatic tumors, 17 large sections of ductal adenocarcinomas and 20 large section of NETs were analyzed as well as a heterogeneity TMA containing up to 9 samples from 224 pancreatic ductal adenocarcinomas. In 219 of 224 primary tumors a minimum of 2 of 6 samples were evaluable (a minimum of 3 spots were evaluable in 206, ≥4 in 182, ≥5 in 134 and all 6 in 56 primary tumors). The range of evaluable samples was 0 to 6 for primary tumors and 0 to 3 for metastasis. A strong CPA1 immunostaining was found in 1 ACC (case #5, see above). In the remaining 223 tumors CPA1 staining was not observed in any tumor cells of these samples. In several instances, however, a weak to moderate CPA1 staining was seen immediately adjacent to highly CPA1 expressing normal pancreatic tissue that equally involved tumor and stromal cells. This staining was considered to reflect diffusion of highly abundant CPA1 from normal acinar cells that may have suffered some autolytic cell damage.

DISCUSSION

The results of this study demonstrate a close to perfect sensitivity and specificity of anti-CPA1 clone MSVA-601M for diagnosing pancreatic ACC. According to The International Working Group for Antibody Validation (IWGAV), suitable validation strategies for immunohistochemistry on formalin-fixed tissues include comparison with expression data obtained by another independent method.21 This is particularly straightforward for CPA1, because 3 independent RNA screening studies, including the FANTOM5 project,22,23 the Genotype-Tissue Expression (GTEx) project,24 and The Cancer Genome Atlas Programm (TCGA)25 (which are all summarized in the protein atlas26), demonstrate that CPA1 expression is strictly limited to pancreatic tissue. This is in perfect agreement with our immunohistochemistry data. A very high expression of CPA1 in pancreatic tissue is confirmed by our normal tissue analysis which in addition localizes the CPA1 protein to acinar cells and suggests that other cell types such as Islets of Langerhans and excretory ducts do not express CPA1 at measurable levels. The limitation of CPA1 expression to acinar cells is consistent with the function of CPA1, which is among the most important secretory enzymes.27 The strict limitation of CPA1 expression to all cases of pancreatic acinar cells obtained from 8 independent donors in our extensive normal tissue analysis demonstrates that CPA1 expression is indeed limited to this cell type and validates specificity and sensitivity of MSVA-601M. It is of note that negative results from RNA screening databases cannot rule out CPA1 expression in structures constituting only small fractions of the total cells of an organ. RNAs derived from small structures or rare cell types are largely underrepresented and thus potentially missed in RNA analyses. The absence of CPA1 immunostaining in any other normal tissue samples also argues against the potential cross-reactivity of our antibody in formalin-fixed tissues. Notably, the analysis of 76 different tissue categories ensures that a very large fraction of proteins that are being expressed in cells of adult humans have been exposed to the antibody and tested for cross-reactivity in this study. The analysis of 12,274 human tumors, including samples from 132 different tumor types and subtypes, resulted in a similar “black and white” picture as seen in our normal tissue analysis and identified 12 strongly positive carcinomas and 12,262 entirely negative tumors. It is remarkable that 6 of these 12 CPA1 positive cancers had initially not been classified as ACC. Due to the high level of CPA1 expression in normal pancreatic acinar cells, the absolute specificity of our assay for pancreatic acinar cells among normal tissues, and the fact that these tumors were all located in the pancreas and showed high-level CPA1 expression, we challenged our initial diagnosis in these cases. In retrospect, 3 of these tumors (case #1, #5, and #6) were reclassified as definite ACC, since apart from CPA1 positivity, the tumors fulfilled at least some of the “classic” criteria for diagnosing an ACC. Two tumors (case #2 and #3) were reclassified as “probably ACC—see comment,” since these tumors apart from a strong CPA1 staining, did not fulfill the “classic” histomorphologic criteria, showed a focal weak or absent chymotrypsin immunostaining and a focal synaptophysin immunostaining. One tumor (case #4), initially classified as NEC, large cell variant, was newly diagnosed as probably MAEC, since parts of the tumor showed the typical morphology of a NEC (large cell variant) and part of the tumor showed moderate to strong CPA1 staining. Morphologic and immunohistochemical results of these tumors are shown in Figure 3. Reclassification of these tumors is not surprising, since ACCs can show several architectural patterns apart from the “classic” acinar pattern. The fact, that 5 of 11 ACCs and 1 mixed acinar endocrine carcinoma were initially not recognized reflects the well-known difficulties in correctly diagnosing this rare pancreatic cancer subtype. Even “experts” in gastrointestinal pathology will only rarely come across these tumors. In a retrospective study at John Hopkins only 14 ACCs were identified over a period of 18 years.28 Several other studies have emphasized on the difficulties in recognizing this rare subtype of pancreatic neoplasm.6,7 In a study by Basturk et al6 17 of 107 tumors initially diagnosed as poorly differentiated NECs were reevaluated and in retrospect diagnosed as pure ACC or mixed acinar-NEC.
FIGURE 3

Morphologic and immunohistochemical findings of 6 cancers reclassified in this study.

Morphologic and immunohistochemical findings of 6 cancers reclassified in this study. Our data strongly suggest that CPA1 immunostaining should be broadly applied to newly diagnosed pancreatic tumors with “equivocal morphology” (ie, pancreatic tumors lacking a “classic” acinar pattern, without distinct PAS-positive cytoplasmatic zymogen granules and a disputable chymotrypsin staining) and that this examination has the potential to prevent relevant diagnostic errors. The high sensitivity for ACC detection seen in our study fits well with the findings with a recent study on CPA1 expression in pancreatic cancers where Said et al16 described strong diffuse CPA1 positivity in all 14 cases of ACC and 5 cases of MAEC analyzed. These authors, however, described a mostly focal or patchy CPA1 positivity to also occur in 2 of 20 ductal adenocarcinomas, 10 of 20 NETs, 2 of 20 mucinous cystic neoplasms, and 1 of 20 solid pseudopapillary tumor but still found a 95% specificity of CPA1 positivity for ACC if only patchy and diffuse staining was considered. While it cannot be excluded that some CPA1 positive non-ACCs also reflect diagnostic borderline cases in this study, it appears more likely that differences in the antibodies and protocols used for these studies are responsible for the higher rate of CPA1 positive non-ACCs. Our reclassification of tumors could be interpreted as a weakness of our study since this obviously could account for the high specificity of the marker. A comparison of the specificity of CPA 1 immunostaining before (99.5%) and after (100%) reclassification shows, however, that the specificity was not markedly impacted. The sensitivity is obviously unaffected and remains 100%. It is of note that both the staining of large sections of 20 NETs and 17 ductal adenocarcinomas and the analysis of a pancreatic adenocarcinoma heterogeneity TMA containing up to 9 samples retrieved from different tumor blocks of 224 pancreatic cancers provided no evidence for even a minimal focal CPA1 immunostaining in non-ACCs. A weak CPA1 staining that involved both tumor cells and stroma cells that was occasionally seen immediately adjacent to highly CPA1 expressing normal pancreatic tissue was considered to be caused by diffusion of the highly abundant CPA1 from normal acinar cells that may have suffered some autolytic cell damage. In summary, our data show the outstanding specificity of CPA1 immunostaining for acinar differentiation in the pancreas to such an extent that we suggest to include CPA1 immunostaining when faced with a pancreatic tumor with “equivocal morphology.” The data also demonstrate the strength of a large-scale tissue screening approach for clarifying the specificity and diagnostic utility of antibodies.
  27 in total

1.  Proteomics. Tissue-based map of the human proteome.

Authors:  Mathias Uhlén; Linn Fagerberg; Björn M Hallström; Cecilia Lindskog; Per Oksvold; Adil Mardinoglu; Åsa Sivertsson; Caroline Kampf; Evelina Sjöstedt; Anna Asplund; IngMarie Olsson; Karolina Edlund; Emma Lundberg; Sanjay Navani; Cristina Al-Khalili Szigyarto; Jacob Odeberg; Dijana Djureinovic; Jenny Ottosson Takanen; Sophia Hober; Tove Alm; Per-Henrik Edqvist; Holger Berling; Hanna Tegel; Jan Mulder; Johan Rockberg; Peter Nilsson; Jochen M Schwenk; Marica Hamsten; Kalle von Feilitzen; Mattias Forsberg; Lukas Persson; Fredric Johansson; Martin Zwahlen; Gunnar von Heijne; Jens Nielsen; Fredrik Pontén
Journal:  Science       Date:  2015-01-23       Impact factor: 47.728

Review 2.  Acinar neoplasms of the pancreas-A summary of 25 years of research.

Authors:  David S Klimstra; Volkan Adsay
Journal:  Semin Diagn Pathol       Date:  2016-05-13       Impact factor: 3.464

3.  Clinicopathologic study of 62 acinar cell carcinomas of the pancreas: insights into the morphology and immunophenotype and search for prognostic markers.

Authors:  Stefano La Rosa; Volkan Adsay; Luca Albarello; Sofia Asioli; Selenia Casnedi; Francesca Franzi; Alessandro Marando; Kenji Notohara; Fausto Sessa; Alessandro Vanoli; Lizhi Zhang; Carlo Capella
Journal:  Am J Surg Pathol       Date:  2012-12       Impact factor: 6.394

Review 4.  Acinar cell carcinoma of the pancreas: a clinicopathologic and cytomorphologic review.

Authors:  Sara Mustafa; Ralph H Hruban; Syed Z Ali
Journal:  J Am Soc Cytopathol       Date:  2020-04-25

5.  Natural History and Treatment Trends in Pancreatic Cancer Subtypes.

Authors:  Courtney J Pokrzywa; Daniel E Abbott; Kristina A Matkowskyj; Sean M Ronnekleiv-Kelly; Emily R Winslow; Sharon M Weber; Alexander V Fisher
Journal:  J Gastrointest Surg       Date:  2019-01-31       Impact factor: 3.452

6.  The Genotype-Tissue Expression (GTEx) project.

Authors: 
Journal:  Nat Genet       Date:  2013-06       Impact factor: 38.330

Review 7.  Acinar Cell Carcinoma of the Pancreas: A Literature Review and Update.

Authors:  Poras Chaudhary
Journal:  Indian J Surg       Date:  2014-03-05       Impact factor: 0.656

8.  Gateways to the FANTOM5 promoter level mammalian expression atlas.

Authors:  Marina Lizio; Jayson Harshbarger; Hisashi Shimoji; Jessica Severin; Takeya Kasukawa; Serkan Sahin; Imad Abugessaisa; Shiro Fukuda; Fumi Hori; Sachi Ishikawa-Kato; Christopher J Mungall; Erik Arner; J Kenneth Baillie; Nicolas Bertin; Hidemasa Bono; Michiel de Hoon; Alexander D Diehl; Emmanuel Dimont; Tom C Freeman; Kaori Fujieda; Winston Hide; Rajaram Kaliyaperumal; Toshiaki Katayama; Timo Lassmann; Terrence F Meehan; Koro Nishikata; Hiromasa Ono; Michael Rehli; Albin Sandelin; Erik A Schultes; Peter A C 't Hoen; Zuotian Tatum; Mark Thompson; Tetsuro Toyoda; Derek W Wright; Carsten O Daub; Masayoshi Itoh; Piero Carninci; Yoshihide Hayashizaki; Alistair R R Forrest; Hideya Kawaji
Journal:  Genome Biol       Date:  2015-01-05       Impact factor: 13.583

9.  Diagnostic and prognostic impact of cytokeratin 19 expression analysis in human tumors: a tissue microarray study of 13,172 tumors.

Authors:  Anne Menz; Rifka Bauer; Martina Kluth; Clara Marie von Bargen; Natalia Gorbokon; Florian Viehweger; Maximilian Lennartz; Cosima Völkl; Christoph Fraune; Ria Uhlig; Claudia Hube-Magg; Noémi De Wispelaere; Sarah Minner; Guido Sauter; Simon Kind; Ronald Simon; Eike Burandt; Till Clauditz; Patrick Lebok; Frank Jacobsen; Stefan Steurer; Waldemar Wilczak; Till Krech; Andreas H Marx; Christian Bernreuther
Journal:  Hum Pathol       Date:  2021-06-06       Impact factor: 3.466

10.  E-Cadherin expression in human tumors: a tissue microarray study on 10,851 tumors.

Authors:  Eike Burandt; Felix Lübbersmeyer; Natalia Gorbokon; Franziska Büscheck; Andreas M Luebke; Anne Menz; Martina Kluth; Claudia Hube-Magg; Andrea Hinsch; Doris Höflmayer; Sören Weidemann; Christoph Fraune; Katharina Möller; Frank Jacobsen; Patrick Lebok; Till Sebastian Clauditz; Guido Sauter; Ronald Simon; Ria Uhlig; Waldemar Wilczak; Stefan Steurer; Sarah Minner; Rainer Krech; David Dum; Till Krech; Andreas Holger Marx; Christian Bernreuther
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