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Reduced occludin expression is related to unfavorable tumor phenotype and poor prognosis in many different tumor types: A tissue microarray study on 16,870 tumors

  • Seyma Büyücek,

    Roles Conceptualization, Data curation, Formal analysis, Project administration, Writing – original draft

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Florian Viehweger,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Viktor Reiswich,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Natalia Gorbokon,

    Roles Data curation, Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Viktoria Chirico,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Christian Bernreuther,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Florian Lutz,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Simon Kind,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Ria Schlichter,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Sören Weidemann,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Till S. Clauditz,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Andrea Hinsch,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Ahmed Abdulwahab Bawahab,

    Roles Formal analysis, Writing – review & editing

    Affiliation Pathology Department, Faculty of Medicine, University of Jeddah, Jeddah, Saudi Arabia

  • Frank Jacobsen,

    Roles Formal analysis, Writing – review & editing

    Affiliations Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, Pathology-Hamburg, Labor Lademannbogen MVZ GmbH, Hamburg, Germany

  • Andreas M. Luebke,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • David Dum,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Claudia Hube-Magg,

    Roles Data curation, Formal analysis, Visualization, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Martina Kluth,

    Roles Data curation, Visualization, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Katharina Möller,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Anne Menz,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Andreas H. Marx,

    Roles Data curation, Formal analysis, Writing – review & editing

    Affiliation Department of Pathology, Academic Hospital Fuerth, Fuerth Germany

  • Till Krech,

    Roles Data curation, Formal analysis, Writing – review & editing

    Affiliations Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, Institute of Pathology, Clinical Center Osnabrueck, Osnabrueck, Germany

  • Patrick Lebok,

    Roles Formal analysis, Writing – review & editing

    Affiliations Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, Institute of Pathology, Clinical Center Osnabrueck, Osnabrueck, Germany

  • Christoph Fraune,

    Roles Formal analysis, Writing – review & editing

    Affiliations Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, Institute of Pathology, Clinical Center Osnabrueck, Osnabrueck, Germany

  • Guido Sauter,

    Roles Conceptualization, Project administration, Supervision, Validation, Writing – original draft

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Ronald Simon ,

    Roles Data curation, Formal analysis, Software, Validation, Visualization, Writing – original draft

    R.Simon@uke.de

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Eike Burandt,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Sarah Minner,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Stefan Steurer,

    Roles Formal analysis, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • Maximilian Lennartz,

    Roles Formal analysis, Validation, Writing – review & editing

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  •  [ ... ],
  • Morton Freytag

    Roles Conceptualization, Data curation, Formal analysis, Project administration, Validation, Writing – original draft

    Affiliation Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

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Abstract

Occludin is a key component of tight junctions. Reduced occludin expression has been linked to cancer progression in individual tumor types, but a comprehensive and standardized analysis across human tumor types is lacking. To study the prevalence and clinical relevance of occludin expression in cancer, a tissue microarray containing 16,870 samples from 148 different tumor types and 608 samples of 76 different normal tissue types was analyzed by immunohistochemistry. Occludin immunostaining was observed in 10,746 (76.6%) of 14,017 analyzable tumors, including 18.9% with weak, 16.2% with moderate, and 41.6% with strong staining intensity. Occludin positivity was found in 134 of 148 tumor categories and was most frequent in adenocarcinomas (37.5-100%) and neuroendocrine neoplasms (67.9-100%), less common in squamous cell carcinomas (23.8-93%) and in malignant mesotheliomas (up to 48.1%), and rare in Non-Hodgkin’s lymphomas (1-2%) and most mesenchymal tumors. Reduced occludin staining was linked to adverse tumor features in several tumor types, including colorectal adenocarcinoma (advanced pT stage, p < 0.0001; L1 status, p = 0.0384; absence of microsatellite instability, p < 0.0001), pancreatic adenocarcinoma (advanced pT stage, p = 0.005), clear cell renal cell carcinoma (high ISUP grade, p < 0.0001; advanced pT stage, p < 0.0001; high UICC stage, p < 0.0001; distant metastasis, p = 0.0422; shortened overall or recurrence-free survival, p ≤ 0.0116), papillary renal cell carcinoma (high pT stage, p < 0.0001; high UICC stage, p = 0.0228; distant metastasis, p = 0.0338; shortened recurrence-free survival, p = 0.006), and serous high-grade ovarian cancer (advanced pT stage, p = 0.0133). Occludin staining was unrelated to parameters of tumor aggressiveness in breast, gastric, endometrial, and thyroidal cancer. Our data demonstrate significant levels of occludin expression in many different tumor entities and identify reduced occludin expression as a potentially useful prognostic feature in several tumor entities.

Introduction

Occludin is encoded by the OCLN gene at chromosome 5q13.1 and contributes to the formation of tight junctions between epithelial and endothelial cells [1]. As a member of the tight junction-associated MARVEL domain-containing proteins, occludin interacts with other proteins such as claudins, zonula occludens proteins and junctional adhesion molecules (JAMs) to establish a barrier that controls paracellular permeability [2,3]. Beyond its role in barrier formation, occludin functions as a nicotinamide adenine dinucleotide hydrogen (NADH) oxidase that regulates glucose uptake and ATP production [4] and is also involved in intracellular signaling pathways and cellular processes such as cell proliferation, differentiation, and migration (reviewed in [5]), although the exact mechanisms underlying these functions are still being elucidated.

Occludin is ubiquitously expressed in epithelial cells where it predominantly occurs at cell-cell junctions. Its role is not fully understood. Functional studies have shown that occludin is neither necessary nor sufficient to form tight junctions and to execute pore or barrier functions [6,7]. In experimental cancer cell systems, knockdown of occludin has been linked to decreased epithelial cell-cell adhesion and reduced susceptibility to apoptosis induction in human keratinocytes [8], disoriented epithelial cell migration in Madin-Darby canine kidney (MDCK) cells [9], increased apoptosis and reduced invasion ability of lung cancer cell lines [10], epithelial-mesenchymal transition (EMT) in epithelial cell cultures [11] and increased cell migration and invasion in colon cancer cells [12]. In vivo studies have also shown associations between reduced occludin expression and distant metastasis in breast cancer [13,14], high tumor grade in colon cancer [15,16], lymph node metastasis in endometrial cancer [17], lymph node and peritoneal metastasis in gastric cancer [18], and poor prognosis in esophageal [19] and gall bladder cancer [20]. However, given these functional indications of a tumor-relevant role of reduced occludin expression, the available information on the prevalence and clinical relevance of reduced occludin expression in clinical tumor tissue samples is sparse and partly contradictory. In 36 IHC studies, only 55 different tumor entities have been evaluated. Moreover, in these 3 cancer entities where multiple studies have been executed, the obtained results were considerably discrepant. In these studies, the range of reported occludin positive cases ranged from 37.3 to 100% in colon cancer [21,22], from 52.8 to 98% in serous ovarian cancer [23,24], and from 8.7 to 70.2% in oral squamous cell carcinoma [25,26]. Such conflicting data are typically caused by the use of different antibodies, immunostaining protocols, and criteria to define immunopositivity.

To better understand the prevalence and potential clinical significance of occludin expression in cancer, a comprehensive study analyzing a large number of neoplastic and non-neoplastic tissues under highly standardized conditions is needed. Therefore, occludin expression was analyzed in more than 16,000 tumor tissue samples from 148 different tumor types and subtypes as well as 76 non-neoplastic tissue categories by immunohistochemistry (IHC) in a tissue microarray (TMA) format in this study.

Materials and methods

Tissue Microarrays (TMAs)

The normal tissue TMA was composed of 8 samples from 8 different donors for each of 76 different normal tissue types (608 samples on one slide). The cancer TMAs contained a total of 16,870 primary tumors from 148 tumor types and subtypes, distributed across 42 TMA blocks. Each TMA block contains several identical tissues to control the reproducibility of the immunostaining assay. Detailed histopathological data on grade, pathological tumor stage (pT) or pathological lymph node status (pN) were available from 2,351 colon cancers, 1,757 renal cell cancers, 598 pancreatic cancers, and 369 serous ovarian cancers. Clinical follow up data were available from 789 patients with clear cell and from 177 patients with papillary renal cell carcinoma (RCC), with a median follow-up time of 48 and 51 months (range 1-250 and 1-247). Clinical data were assessed for research purposes between 2005 and 2022. The authors of this study had no access to information that could identify individual participants during or after data collection. The composition of both normal and cancer TMAs is described in detail in the results section. 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. The TMA manufacturing process was described earlier in detail [27, 28]. In brief, one tissue spot (diameter: 0.6 mm) was transmitted from each cancer containing donor block in an empty recipient paraffin block. The suitability of TMAs made from a single 0.6 mm spot per cancer to find associations between molecular markers and tumor phenotype or patient prognosis has been demonstrated before [29]. The use of anonymized patient data and archived remnants of diagnostic tissues for manufacturing of TMAs and their analysis for research purposes without informed consent 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 (IHC)

Freshly prepared TMA sections were immunostained on one day in one 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 9 Dako Target Retrieval Solution (Agilent, CA, USA; cat. #S2367). Endogenous peroxidase activity was blocked with Dako Peroxidase Blocking Solution (Agilent, CA, USA; cat. #52023) for 10 minutes. Primary antibody specific against occludin protein (mouse monoclonal, MSVA-415M, MS Validated Antibodies, Hamburg, Germany, cat. #4373-415M-01) was applied at 37°C for 60 minutes at a dilution of 1:150. For validating the specificity of the antibody used in our study, we compared the staining patterns of MSVA-415M with those of a second independent antibody as suggested by the international working group of antibody validation [30]. The normal tissue TMA was also analyzed by the mouse monoclonal occludin antibody OC-310 (Thermo Fisher Scientific, Waltham, MA, USA; cat. #33-1500) at a dilution of 1:25 and an otherwise identical protocol. Bound antibody was then visualized using the EnVision Kit (Agilent, CA, USA; cat. #K5007) according to the manufacturer’s directions. The sections were counterstained with haemalaun. One pathologist (SB) scored all TMA slides. For tumor tissues, the percentage of occludin positive tumor cells was estimated, and the staining intensity was semi-quantitatively recorded (0, 1 + , 2 + , 3+). For statistical analyses, the staining results were categorized into four groups as follows: Negative: no staining at all, weak staining: staining intensity of 1 + in ≤  70% or staining intensity of 2 + in ≤  30% of tumor cells, moderate staining: staining intensity of 1 + in >  70%, staining intensity of 2 + in >  30% but in ≤  70% or staining intensity of 3 + in ≤  30% of tumor cells, strong staining: staining intensity of 2 + in >  70% or staining intensity of 3 + in >  30% of tumor cells. For each tumor, it was recorded whether the staining was only membranous, membranous and cytoplasmic, cytoplasmic and membranous, or cytoplasmic only.

Statistics

Statistical calculations were performed with JMP 16 software (SAS Institute Inc., NC, USA). Contingency tables and the chi²-test were performed to search for associations between occludin immunostaining and tumor phenotype. For univariate survival analysis, the Log-Rank test was applied to detect significant differences between groups. Survival curves were plotted according to Kaplan-Meier.

Results

Technical issues

A total of 14,017 (83%) of 16,870 tumor samples were interpretable in our TMA analysis. Non-interpretable samples demonstrated lack of unequivocal tumor cells or lack of entire tissue spots. A sufficient number of samples (≥4) of each normal tissue type was evaluable.

Occludin immunostaining in normal tissues

Occludin immunostaining was predominantly membranous. At variable intensity, it was observed in virtually all epithelial cell types and also in endothelial cells. In squamous epithelium, occludin staining was most intense in suprabasal and intermediate cell layers but less strong or absent in the basal and superficial cell layers. Occludin staining also occurred in corpuscles of Hassall’s of the thymus. In the gastrointestinal tract, gallbladder, endometrium, endocervix, fallopian tube, and respiratory epithelium, a diffuse membranous staining occurred, but staining was most intense at the luminal/apical membranes. In the breast, luminal cells showed a strong staining while basal cells were negative or weakly positive. In the placenta, a moderate to strong membranous staining was seen in the cytotrophoblast and the apical membrane of the syncytiotrophoblast while staining was only weak in amnion cells. In the liver, staining was strong in bile duct cells, but weaker in hepatocytes. In the pancreas, membranous occludin staining was strongest at apical membranes of acinar cells and only weak on islet cells. In salivary glands, occludin staining was most intense in excretory ducts and only faint in glandular cells. In the kidney, occludin staining was strongest in collecting ducts, weaker in distal tubuli and weakest in proximal tubuli as well as in the parietal layer of the Bowman capsule. Occludin staining of epithelial cells was strong in seminal vesicles, follicular cells of the thyroid, moderate in the parathyroid, but only faint in the prostate, the corpus epididymis, and the adenohypophysis. In the testis, staining was limited to Leydig cells. A moderate staining was seen in pneumocytes of the lung. Occludin staining at variable levels was also seen in endothelial cells in all tissues. Representative images are shown in Fig 1. All occludin positive cell types were observed by using both MSVA-415M and OC-3F10 (S1 Fig). Occludin staining did not occur in epithelial cells of the adrenal gland, bone marrow, muscle cells, fat, brain, and the neurohypophysis.

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Fig 1. Membranous occludin staining in normal tissues.

A) Squamous epithelium of the ectocervix showing intense staining of suprabasal and intermediate cell layers, B) staining in corpuscles of Hassall’s of the thymus, C) membranous staining of the mucosa of the rectum, most intense at the luminal cell membrane (arrow), D) strong staining of luminal cells of the breast glands, E) strong staining of the cytotrophoblast and the apical membrane of the syncytiotrophoblast in the placenta, F) strong staining at apical membranes of acinar cells while there is only a faint staining of islet cells (asterisk, magnification 200x), G) intense staining of excretory ducts and weak staining of glandular cells of the salivary glands, H) kidney with strongest staining in collecting ducts, weaker in distal tubuli, weakest in proximal tubuli and the parietal layer of the Bowman capsule, I) moderate staining of Leydig cells in the testis, J) lack of occludin staining in the adrenal gland.

https://doi.org/10.1371/journal.pone.0321105.g001

Occludin immunostaining in neoplastic tissues

A significant occludin immunostaining was observed in 10,746 (76.7%) of 14,017 analyzable tumors, including 18.9% with weak, 16.2% with moderate, and 41.6% with strong staining intensity. Occludin staining varied both in intensity and in its pattern between samples. Most occludin positive tumors showed a membranous or predominantly membranous staining pattern but some tumors exhibited a purely or predominantly cytoplasmic staining. Representative images are shown in Fig 2. At least an occasional weak occludin positivity was detected in 134 of 148 (90.5%) tumor types and tumor subtypes and 108 (72.9%) entities included at least one case with strong occludin positivity (Table 1). Occludin positivity was most seen in adenocarcinomas (37.5-100%) and in neuroendocrine neoplasms (67.9-100%), slightly less frequently in squamous cell carcinomas (23.8-93%) and in malignant mesotheliomas (up to 48.1%) and only rarely in non-Hodgkin’s lymphomas (1-2%) and in most mesenchymal tumors. Notably, occludin positivity was seen in 34.7% of 72 Hodgkin’s lymphomas. A graphical representation of a ranking order of occludin positive and strongly positive cancers is given in Fig 3. The relationship between occludin expression and tumor phenotype in different cancer types is summarized in Table 2. In colorectal adenocarcinoma, reduced occludin staining was associated with advanced pT stage (p < 0.0001), L1 status (p = 0.0384), and absence of microsatellite instability (p < 0.0001). The relationship between low occludin staining and advanced stage was retained in MSS tumors (p = 0.0359). In clear cell RCC, low occludin staining was strongly linked to poor ISUP (p < 0.0001), Fuhrman (p < 0.0001), and Thoenes (p < 0.0001) grades, advanced pT stage (p < 0.0001), high UICC stage (p < 0.0001), distant metastasis (p = 0.0422; Table 2), non-diploid DNA status (p = 0.0101), as well as shortened overall (p = 0.0166; Fig 4a) and recurrence-free (p = 0.0045; Fig 4b) survival. In papillary RCC, low occludin staining was associated with high pT (p < 0.0001) and UICC stage (p = 0.0228), distant metastasis (p = 0.0338), and shortened recurrence-free survival (p = 0.006; Figure 4c). In ductal adenocarcinoma of the pancreas (p = 0.005) and in high-grade serous ovarian cancer (p = 0.0133), low occludin staining was associated with advanced pT stage. In a mixed cohort of squamous cell carcinomas from 9 different sites of origin, low occludin expression was associated with absence of HPV infection (p = 0.0001, Table 3). The level of occludin immunostaining was unrelated to parameters of tumor aggressiveness in breast cancers of no special type, gastric, endometrial and thyroidal cancer.

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Fig 2. Membranous occludin staining in tumors.

A) Prominent staining at the apical membrane of a colorectal adenocarcinoma, B) strong predominantly membranous staining of a breast cancer of no special type, C) adenocarcinoma of the esophagus with strong membranous staining, D) oncocytoma of the kidney with strong membranous positivity, E) clear cell carcinoma of the ovary with moderate membrane staining, F) neuroendocrine tumor of the pancreas with strong membranous positivity, G) Hodgkin’s lymphoma with moderate staining of the tumor cells, H) Leydig cell tumor of the testis with strong membrane staining, I) occludin-negative diffuse large B-cell lymphoma, J) occludin-negative gastrointestinal stroma tumor.

https://doi.org/10.1371/journal.pone.0321105.g002

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Table 1. Occludin immunostaining in tumors. See materials and methods section for definition of the immunostaining levels.

https://doi.org/10.1371/journal.pone.0321105.t001

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Fig 3. Ranking order of human tumors according to the rate of occludin positivity in human tumors.

Both the frequency of positive cases (blue dots) and the frequency of strongly positive cases (orange dots) are shown.

https://doi.org/10.1371/journal.pone.0321105.g003

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Table 2. Occludin immunostaining and prognosis colorectal adenocarcinomas, clear cell and papillary carcinomas of the kidney, serous ovarian cancers, and pancreatic adenocarcinomas. See materials and methods section for definition of the immunostaining levels.

https://doi.org/10.1371/journal.pone.0321105.t002

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Fig 4. Prognostic relevance of occludin in kidney cancer.

Occludin expression and A) overall survival in clear cell carcinomas, B) recurrence-free survival in clear cell carcinoma, and C) recurrence-free survival in papillary carcinomas.

https://doi.org/10.1371/journal.pone.0321105.g004

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Table 3. Occludin immunostaining and prognosis in squamous cell carcinomas of various origin. See materials and methods section for definition of the immunostaining levels.

https://doi.org/10.1371/journal.pone.0321105.t003

Discussion

The data from our successful analysis of 14,017 tumors from 148 different tumor categories provide a comprehensive overview of occludin expression in cancer. Although occludin expression could be found in almost every tumor entity, occludin positivity was most seen in adenocarcinomas and in neuroendocrine neoplasms. It was slightly less frequently seen in squamous cell carcinomas and in malignant mesotheliomas, and only rarely in non-Hodgkin’s lymphomas and in most mesenchymal tumors. Although previous IHC studies on occludin were limited in number and had provided partly conflicting data (summarized in Fig 5), several earlier studies are in line with our data. For example, 6 of 7 studies analyzing between 12 and 127 colon cancers [15,16,21,3133] reported occludin positivity rates between 91.6 and 100% (our study: 99.1%). Tobioka et al. [17] found occludin expression in 100% of 42 endometrioid endometrial carcinomas (our study: 98.3%), Dos Santos et al. [24] in 97.5% of 602 serous ovarian carcinomas (our study: 98.2%) and in 46% of 87 mesotheliomas (our study: 58.3%), Montaro et al. [26] in 70.2% of 60 oral squamous cell carcinomas (our study: 69.8%), Billings et al. [34] in 45.7% of 35 synovial sarcomas (our study: 36.4%), and Nakanishi et al. [35] in 6.1% of non-invasive urinary bladder cancers (our study: 1.7%).

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Fig 5. Comparison with previous occludin literature.

An „X“ indicates the fraction of occludin positive cancers in the present study, dots indicate the reported frequencies from the literature for comparison: red dots, <  10 analyzed tumors; yellow dots, > 10-25 analyzed tumors; green dots, > 25 analyzed tumors.

https://doi.org/10.1371/journal.pone.0321105.g005

That occludin immunostaining of epithelial tumors was often reduced as compared to their cells of origin is in agreement with various earlier reports suggesting a critical role of occludin downregulation for various cancer driving mechanisms such as reduction of cell adhesion and facilitation of cell dissociation, increased motility and proliferation, invasive tumor growth, and epithelial-mesenchymal transition. For example, decreased or disrupted occludin expression has been linked to decreased epithelial cell-cell adhesion, reduced susceptibility to apoptosis induction, and altered Ca(2+)-homeostasis in keratinocytes [8], disorganization of the actin cytoskeleton in epithelial cells [9], accelerated migration and invasion in liver cancer cell lines [36], cell dissociation and activation of the growth signaling pathways in pancreatic cancer cell lines [37], epithelial-mesenchymal transition in cultured mouse epithelial cells [11], and increased tumorigenic and metastatic properties in various cancer cell types [38].

In line with these functional data, our findings revealed a significant link between reduced occludin expression and unfavorable histopathological and clinical tumor parameters in several different cancer entities including colorectal and pancreatic adenocarcinoma, serous high-grade ovarian cancer, as well as clear cell and papillary renal cell carcinoma (RCC). Possible mechanistic interactions are for example known from clear cell RCC, which is characterized by inactivating mutations of the VHL gene. VHL loss of function leads to an accumulation of the hypoxia-inducible factors HIF-1α and HIF-2α, which in turn suppress the expression of tight junction proteins including occludin [39]. It is of note that a tendency towards unfavorable phenotype was also seen for additional tumor entities in this study, although the statistical level of significance was not reached. A relationship between reduced occludin expression and unfavorable tumor phenotype or poor prognosis has earlier been reported for carcinomas of the breast [14], gallbladder [20], gastrointestinal tract [15,18], endometrial cancer [17] as well as squamous cell carcinomas of the esophagus [19]. Another study described significantly lower levels of occludin in metastasis than in primary hepatocellular carcinoma [40]. Based on all these findings, it appears that reduced occludin expression may constitute a critical feature of ominous prognosis in various tumor entities that could be clinically useful. This might for example apply for RCC where high-risk patients are increasingly selected for adjuvant therapy [41].

It is of note that de-novo expression or upregulation of occludin was also found in cancers that are derived from occludin negative cell types. For example, unequivocal occludin staining was identified in 34.7% (9.7% strong) of Hodgkin’s lymphomas, 47.1% (18.8%) of Ewing sarcomas, 6.9% (2.3%) of leiomyosarcomas, and in 10.5% (5.3%) of osteosarcomas. While the number of analyzed tumors of these categories was too small to assess the potential clinical significance of elevated occludin expression, it appears possible that other functionalities than the rather tumor-suppressive tight-junction role of occludin might become effective in these tumors and perhaps provide a growth or survival benefit to affected tumor cells. Few data from earlier studies have indeed highlighted potential tumor promoting effects of elevated occludin expression such as promotion of glucose uptake [4], increased angiogenesis [42], modulation of growths signaling pathways such as MAPK/ERK [43,44], PI3K/Akt [43], and the Hippo pathway [45], or increased tumor aggressiveness after occludin knockdown in lung cancer cells [10]. Earlier studies confirmed occludin protein expression in small subsets of Ewing sarcomas [46] and reported occludin mRNA expression from osteoblasts and osteosarcoma cell lines [47]. The authors of these studies concluded from their findings, however, that occludin may not exert a direct tumor promoting role in theses tumors. Schütz et al. [46] observed occasional formation of tight junction-like structures in Ewing sarcomas, but these structures always lacked at least one of the relevant tight junction proteins (such as occludin, desmins, desmogleins or desmoplakins) and were considered non-functional. Jian et al. [47] compared occludin expression in primary and metastatic osteosarcoma cell lines but did not find obvious differences. It can, thus, not be excluded that the rare expression of occludin in these tumors just reflects random gene expression deregulation in cancer cells that undergo progressing dedifferentiation. It is well known that most deregulated genes in cancer are not relevant for tumor cell behavior [48,49].

In the light of the large scale of our study, we extensively validated the specificity of the occludin antibody. The international working group of antibody validation recommends validating antibodies for the use in immunohistochemistry by either comparing the staining results with a different method for expression analysis or with the staining results obtained by an independent second antibody [30]. As a comparison with a method using extracted RNAs or proteins is impractical because of the ubiquitous presence of occludin positive endothelial and epithelial cells in virtually all organs [5053], our validation was limited to an antibody comparison. To ensure an as broad as possible range of proteins to be tested for a possible cross-reactivity, 76 different normal tissue categories were included in this analysis. These diverse tissues are likely to contain a large proportion of the proteins expressed in cells of adult humans. Validity of our IHC assay was supported by the confirmation of all cell types found to be occludin positive and of all the characteristic variations of staining intensities such as the conspicuous differences between specific layers of squamous epithelium by the validation antibody OC-3F10.

Conclusion

Our data demonstrate significant levels of occludin expression in many different tumor entities and identify loss of occludin expression as a potentially useful prognostic marker in several tumor entities.

Supporting information

S1 Fig. IHC validation by comparison of two independent occludin antibodies. Using MSVA-415M, membranous staining was seen in the suprabasal and intermediate cell layers of squamous epithelium of the ectocervix (A), cytotrophoblast and the apical membrane of the syncytiotrophoblast in the placenta (B), hepatocytes of the liver (C), Leydig cells of the testis (D), and apical membranes of acinar cells of the pancreas (E).

Using clone OC-3F10, a comparable, although slightly weaker, staining was seen in the ectocervix (a), the placenta (b), the liver (c), the testis (d), and the pancreas (e). The images A-E and a-e are from consecutive tissue sections.

https://doi.org/10.1371/journal.pone.0321105.s001

(PDF)

Acknowledgments

We are grateful to Laura Behm, Melanie Steurer, Inge Brandt, Maren Eisenberg, and Sünje Seekamp for excellent technical assistance.

References

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