CD74: a new prognostic factor for patients with malignant pleural mesothelioma

Abstract

Background:

The pro-inflammatory cytokine migration inhibitory factor (MIF) and its receptor CD74 have been proposed as possible therapeutic targets in several cancers. We studied the expression of MIF and CD74 together with calretinin in specimens of malignant pleural mesothelioma (MPM), correlating their expression levels with clinico-pathologic parameters, in particular overall survival (OS).

Methods:

Migration inhibitory factor, CD74, and calretinin immunoreactivity were investigated in a tissue microarray of 352 patients diagnosed with MPM. Protein expression intensities were semiquantitatively scored in the tumour cells and in the peritumoral stroma. Markers were matched with OS, age, gender, and histological subtype.

Results:

Clinical data from 135 patients were available. Tumour cell expressions of MIF and CD74 were observed in 95% and 98% of MPM specimens, respectively, with a homogenous distribution between the different histotypes. CD74 (P<0.001) but not MIF overexpression (P=0.231) emerged as an independent prognostic factor for prolonged OS. High expression of tumour cell calretinin correlated with the epithelioid histotype and was also predictive of longer OS (P<0.001). When compared with previously characterised putative epithelial-to-mesenchymal transition markers, CD74 correlated positively with tumoral PTEN and podoplanin expressions, but was inversely related with periostin expression.

Conclusions:

High expression of CD74 is an independent prognostic factor for prolonged OS in mesothelioma patients.

Malignant pleural mesothelioma (MPM) is a malignant tumour arising from the mesothelial cells lining the pleural cavity. Approximately 50–80% of MPM in men develop after exposure to mineral fibres such as asbestos and erionite (the proportion drops to 20–30% in women). Due to long incubation periods, malignant mesothelioma mortality rates will probably continue to increase until 2020 in most European countries, and until 2030–2040 in Japan (Stayner et al, 2013). Predicting the course of the asbestos epidemic in developing countries is difficult because of the paucity of data in these areas of the world.

Radical treatment protocols often combine induction platinum-based chemotherapy and surgery followed by radiotherapy to the involved hemithorax (Weder et al, 2007). However, this approach is seldom feasible (Hasani et al, 2009) as most patients are diagnosed with advanced disease when surgery is no longer possible. Even if its efficacy is limited in time, palliative chemotherapy with pemetrexed and cisplatin is usually resorted to in other cases (Janne et al, 2006).

As in numerous cancers such as colorectal, gastric, hepatic, and lung cancers, chronic inflammation with recruitment of macrophages and neutrophils and production of chemokines and cytokines in the thorax is thought to initiate MPM (Adamson et al, 1997; Hill et al, 2003; Dostert et al, 2008). Macrophage migration inhibitory factor (MIF) is a pro-inflammatory cytokine, released by a variety of cell types and is involved in numerous inflammatory and autoimmune diseases (Calandra and Roger, 2003). Apart from its role in inflammation, many factors show that MIF has an important role in promoting tumorigenesis. Migration inhibitory factor is overexpressed in a variety of malignant tumours, such as breast (Lue et al, 2007), colon (Legendre et al, 2003), prostate cancers (Meyer-Siegler et al, 1998), and melanoma (Shimizu et al, 1999), glioblastoma multiform (Bacher et al, 2003) and lung adenocarcinomas (Kamimura et al, 2000; Tomiyasu et al, 2002). It increases tumour growth by favouring tumour cell proliferation and blocking apoptosis; after binding to CD74, it activates the PI3K/Akt pathway. More recently, overexpression of MIF has also been shown to be associated with epithelial-to-mesenchymal transition (EMT) (Funamizu et al, 2013) in which cancer cells lose key adhesion molecules such as E-cadherin thus acquiring unrestrained cell motility and metastatic potential (Gjerdrum et al, 2010).

While MIF has been shown to be a prognostic factor in several cancers, this has not been shown yet in MPM and is the purpose of the present study. We resorted to a retrospective multicentre collection of 352 formalin-fixed, paraffin-embedded MPM specimens to identify the prevalence of MIF and its receptor CD74 in MPM.

Materials and methods

Patients population and clinical data

All cases of malignant mesothelioma were diagnosed between 1975 and 2004, and retrieved from the archives of the Zurich Pneumoconiosis Research Group, Switzerland (Director: M. Rueegger). The tissue specimens were mainly derived from post-mortem examination (77% autopsy and 23% biopsy) and had uniformly been formalin fixed and paraffin embedded. Classification for the histological subtype was made according to the World Health Organisation classification (WHO 2004) by one experienced lung pathologist (PV) and was reviewed (MH) to identify suitable areas for tissue microarray (TMA) construction.

Patient characteristics of the cohort were described in previous studies (Hinterberger et al, 2007; Schramm et al, 2010). Distribution of the histological subtype of MPM of the patient cohort is described in Table 1. Clinical data were assessed for a total of 135 out of 352 patients (94% male) with a median age of 63 years (range 40–93).

Table 1. Mesothelioma histological subtype distribution of the patient cohort.

Histological type	Epithelioid	Sarcomatoid	Biphasic
n	123	46	183
%	35	13	52

The construction of a set of three TMAs was accomplished with a custom-made, semiautomatic tissue arrayer (Beecher Instruments, Sun Prairie, WI, USA) as described previously (Hinterberger et al, 2007).

Immunohistochemistry analysis

In all, 4-μm-thick human TMA sections from FFPE samples were analysed by immunohistochemistry using anti-MIF (gift of Thierry Roger, Lausanne), anti-CD74 (HPA010592; Sigma-Aldrich, St Louis, MO, USA), and anti-calretinin antibodies (18-0211; Invitrogen AG, Basel, Switzerland) using the Ventana Discovery automated staining system (Ventana Medical Systems, Tucson, AZ, USA). Ventana reagents for the entire procedure were used. For both calretinin and CD74 antibodies, antigenicity was retrieved by heating slides in CC1 cell conditioning solution for 20 min (EDTA antigen retrieval solution pH 8.4), whereas for MIF antibody, slides were heated in the same solution for 36 min. After automatic deparaffinisation and heating, slides were incubated 30 min at 37 °C with primary antibodies respectively diluted at 1/300 (calretinin), 1/1000 (CD74), and 1/300 (MIF) in antibody diluent from Dako (Baar, Switzerland; S2022). Detection of anti-calretinin antibodies was carried out using the secondary universal biotinylated antibodies reagent and the amplified DABMap kit (Ventana Medical Systems; 760-124). Detection of anti-MIF and anti-CD74 antibodies was performed using the rabbit OmniMap kit (Ventana Medical Systems; 760-149).

Scoring

Immunohistochemical analysis was carried out by two observers (CO and VSB) unaware of patient data or core distribution within the TMA. Consensus was reached in case of a significant discrepancy between the individual scores. One to four spots per tumour specimen were evaluated. Protein expression was recorded semiquantitatively using the histoscore (HS) method. Briefly, each core was scored on a semiquantitative scale ranging from 0 to 300, with the final score resulting from the percentage of tumour cells staining positively (range 0–100) multiplied by staining intensity graded as negative, weak, moderate, or strong (range from 0 to 3). Total HS for a tumour specimen (sum of HS of four spots) ranges from 0 to 1200. The obtained product scores were used for statistical analysis. We also performed analysis on four subgroups selected from the total cohort based on no expression (noted 0; HS=0), low expression (noted 1; 0<HS⩽400), medium expression (noted 2; 400<HS⩽800), and high expression (noted 3; 800<HS⩽1200).

Statistics

Clinical data of these patients were retrospectively assessed from medical archives of the different hospitals and the local cancer registries. Statistical analysis was performed using Kaplan–Meier curves for correlation of survival time with expression of calretinin, MIF, and CD74 as well as other clinical and pathological marker such as age, gender, and histological subtype. Multiple Cox regression analysis was used to assess association between survival and expression of calretinin, MIF, and CD74 adjusted for patient data (age and gender). For the Cox regression analysis, the biomarkers were analysed as none/low vs medium/high expression, because the Kaplan–Meier analysis showed that the curves for medium and high expression of MIF and accordingly CD74 were likewise and the group with no expression of MIF and accordingly CD74 was small (n=6 and n=2, respectively). We used non-parametric tests to compare two (Mann–Whitney test) or more (Kruskal–Wallis test) independent groups of continuous data. The correlations among continuous variables were assessed by Pearson's correlation analysis.

Results

Malignant pleural mesothelioma TMAs were evaluated for calretinin, MIF, and CD74 antigens expression in tumour cells and stroma environment. Representative sections of TMA stained for each of the investigated biomarkers are shown in Figure 1. Epithelioid MPM tumours showed marked calretinin expression. Sarcomatoid malignant mesothelial cells consist of densely packed spindle cells, with high cellularity, nuclear atypia, and frequent mitotic figures. These latter elements allowed differentiating these malignant cells from fibroblasts of the tumour stroma. Sarcomatoid malignant mesothelial cells were rarely positive for calretinin labelling (Figure 1).

Figure 1.

Calretinin, MIF, and CD74 expression in epithelioid, sarcomatoid, and biphasic mesothelioma. (A) Representative staining for calretinin, MIF, and CD74 in samples from epithelioid, sarcomatoid, and biphasic mesothelioma specimens. (B) Individual histoscore (HS) of marker expression in tumour cells for each spot.

Tumour cell expression

Percents of tumour cells expressing calretinin, MIF, and CD74 for each mesothelioma specimen are shown in Table 2. In all, 271 of the 352 patients (77%) showed positive staining of tumour cells for calretinin. Histoscore values for calretinin ranged from 0 to 1200 (median 300), and 46% were categorised as showing medium to high expression (defined as HS⩾400). In all, 334 of the 352 specimens (95%) showed positive staining of tumour cells for MIF. Histoscore values for MIF ranged from 0 to 1200 (median 655), and 66% were categorised as showing medium to high expression (defined as HS⩾400). In all, 334 of the 352 specimens (98%) showed positive staining of tumour cell surface for CD74. Histoscore value for CD74 ranged from 0 to 1200 (median 560), and 60% were categorised as showing medium to high expression (defined as HS⩾400). Expression of calretinin, MIF, and CD74 in tumour cells was independent of known asbestos exposure.

Table 2. % of tumour cells expressing no (0) to high (3) levels of calretinin, MIF and CD74.

Expression level	0	1	2	3
Calretinin	23	31	20	26
MIF	5	29	28	38
CD74	2	38	29	31

Abbreviation: MIF=migration inhibitory factor.

Legends: 0: none expression, 1: low expression, 2: medium expression, and 3: high expression.

The distribution of calretinin, MIF, and CD74 expression by histology is shown in Figure 2. Calretinin expression in the tumour was dependent on histotype (Figure 2A). Epithelioid tumours had significantly higher calretinin expression levels (median HS 695, range 0–1200, n=123) compared with mixed mesotheliomas (median HS 270, range 0–1200, n=183; P<0.0001) and sarcomatoid mesotheliomas (median HS 0, range 0–450, n=46; P<0.0001).

Figure 2.

Scattered dot plots of calretinin (A), MIF (B), and CD74 (C) expression levels in tumour cells of different histological type of mesothelioma specimens. The central horizontal line represents the median histoscore in each group. Error bars represent interquartile range (first–third quartile). The number of mesothelioma specimens (n) is indicated for each expression subgroup. ***P<0.001; ****P<0.0001.

We observed a similar level of MIF (Figure 2B) and CD74 (Figure 2C) in tumour cells of all histological types of mesothelioma (epithelioid, sarcomatoid, and biphasic).

Analysis of correlation between the expression of the three markers and overall survival (OS) of patients were performed on 135 patients for whom clinical data were available. High calretinin and CD74 expression levels in the tumour were positively associated with longer survival (P<0.001) (Figure 3A and C). Migration inhibitory factor expression level in tumour cells did not correlate with patient survival (Figure 3B). Patients with no expression of calretinin in tumour cells (score=0; n=28, 21%) had a significantly lower OS (6.5 months, 95% CI 4.0–8.9) than patients with low (11.3 months, 95% CI 10.2–12.3), medium (13.5 months, 95% CI 9.9–17.2) or high calretinin (16.5 months, 95% CI 8.3–24.8; P<0.001) expression levels, respectively (Figure 3A).

Figure 3.

Kaplan–Meier survival curves for patients with MPM stratified by calretinin (A), MIF (B), and CD74 (C) expression levels. Median survival time (in months, mo) and 95% CI were indicated for each expression subgroup on figures as well as log-rank (P) and the number of mesothelioma specimens (n).

Patients with low expression of CD74 in tumour cells (score=1; n=45, 33%) had a significantly lower OS (8.2 months, 95% CI 5.6–10.9) than patients with medium (14.0 months, 95% CI 9.4–18.5), or high CD74 expression levels, respectively (14.7 months, 95% CI 10.1–19.3; P<0.001) (Figure 3C). Cox regression analysis of the joint influence of the predictors (gender, age, calretinin expression, CD74 expression, and MIF expression) showed that calretinin (medium/high vs none/low) expression, CD74 (medium/high vs none/low) expression, gender (female vs male), and age (>63 years vs⩽63 years) are independent prognosticators (Table 3). Histotype was excluded because of the association of histotype and calretinin expression. When histotype was included in the analysis, calretinin was no longer an independent prognosticator, but it had no influence on the effect of CD74 (data not shown).

Table 3. Multivariate analysis for prognostic factors in relation to overall survival.

	Hazard ratio (HR) (95% confidence interval)	P-value
Calretinin
None/low	1	0.016
Medium/high	0.79 (0.65–0.96)
MIF
None/low	1	0.8
Medium/high	1.02 (0.83–1.26)
CD74
None/low	1	0.003
Medium/high	0.72 (0.57–0.89)
Gender
Male	1	0.005
Female	0.31 (0.14–0.70)
Age
⩽63 years	1	0.009
>63 years	1.60 (1.13–2.29)

Abbreviation: MIF=migration inhibitory factor.

Stroma cell expression

All proteins (calretinin, MIF, and CD74) analysed on the TMA were characterised by lower to no expression in the stroma compared with tumour tissue (Figure 1; Table 4). Stromal calretinin and CD74 stainings were independent of histotype while MIF expression in the stroma cells of tumour specimens was higher in epithelioid and biphasic tumours compared with sarcomatoid mesothelioma (P=0.001 and P<0.001, respectively).

Table 4. % of stromal cells expressing no (0) to high (3) level of calretinin, MIF, and CD74.

Expression level	0	1	2	3
Calretinin	92	8	0	0
MIF	54.8	44.3	0.6	0.3
CD74	80	20	0	0

Abbreviation: MIF=migration inhibitory factor.

Legends: 0: none expression, 1: low expression, 2: medium expression, and 3: high expression.

Expression of all markers (calretinin, MIF, and CD74) in stroma cells of the mesothelioma specimens did not correlate with patient survival.

Correlation among markers

In previous studies, putative EMT marker periostin, podoplanin (also noted D2-40, a mucin-like glycoprotein highly expressed in MPM) and PTEN have been characterised in mesothelioma samples from the same 352 patients using these same three TMA (Hinterberger et al, 2007; Opitz et al, 2008; Schramm et al, 2010). To enquire whether calretinin, CD74, and MIF are associated with these markers, a correlation analysis was carried out. This correlation showed that most of the markers were positively correlated with one another except periostin that showed negative correlations (Table 5). We observed a positive correlation between CD74 and calretinin, MIF, D2-40, and PTEN (Supplementary Figure S1). Migration inhibitory factor was also positively correlated with calretinin, CD74, D2-40, and PTEN (Supplementary Figure S2). CD74 was negatively correlated with periostin while no different periostin expression was observed in the four MIF expression level subgroups.

Table 5. Correlation of marker expression among one another (n=352).

	Tumour						Stroma
	Calr	MIF	CD74	PTEN	Periostin	D2-40	MIF	Periostin
Tumour
Calr
Pearson	1	0.401	0.423	0.382	−0.087	0.403	0.087	−0.093
P		<0.001	<0.001	<0.001	0.103	<0.001	0.105	0.081
MIF
Pearson	0.401	1	0.466	0.349	−0.053	0.254	0.192	−0.041
P	<0.001		<0.001	<0.001	0.321	<0.001	<0.001	0.442
CD74
Pearson	0.423	0.466	1	0.417	−0.174	0.205	0.149	−0.076
P	<0.001	<0.001		<0.001	0.001	<0.001	0.005	0.154
PTEN
Pearson	0.382	0.349	0.417	1	−0.159	0.299	0.031	−0.066
P	<0.001	<0.001	<0.001		0.003	<0.001	0.556	0.217
Periostin
Pearson	−0.087	−0.053	−0.174	−0.159	1	−0.099	−0.203	0.713
P	0.103	0.321	0.001	0.003		0.064	<0.001	<0.001
D2-40
Pearson	0.403	0.254	0.205	0.299	−0.099	1	0.070	−0.128
P	<0.001	<0.001	<0.001	<0.001	0.064		0.193	0.016
Stroma
MIF
Pearson	0.087	0.192	0.149	0.031	−0.203	0.070	1	−0.146
P	0.105	<0.001	0.005	0.556	<0.001	0.193		0.006
Periostin
Pearson	−0.093	−0.041	−0.076	−0.066	0.713	−0.128	−0.146	1
P	0.081	0.442	0.154	0.217	<0.001	0.016	0.006

Abbreviation: MIF=migration inhibitory factor.

Discussion

This study identified the MIF-receptor CD74 as an independent prognostic factor for OS in MPM patients. Growing interest focuses on the role of inflammatory signals in the initiation and development of mesothelioma. Among inflammatory mediators, pro-inflammatory cytokine MIF is a particularly interesting candidate. Indeed, MIF has been shown to have an important role in favouring tumorigenesis, and several research groups have shown a correlation between MIF and prognosis in hepatocellular carcinomas, gastric, ovarian, breast, colon, prostate, and non-small cell lung cancers (Meyer-Siegler et al, 1998; Kamimura et al, 2000; Tomiyasu et al, 2002; Legendre et al, 2003; Hira et al, 2005; Lue et al, 2007; Xia et al, 2009). The effect of MIF seems mediated via its binding to CD74 which expression is also linked with several forms of cancer (Datta et al, 2000; Meyer-Siegler et al, 2005, 2006; Binsky et al, 2007; McClelland et al, 2009; Nagata et al, 2009; Verjans et al, 2009).

In this study, we used a TMA with MPM tissue of the three histological types of MPM (epithelioid, sarcomatoid, and biphasic) in 352 patients to identify possible relations between MIF and/or MIF-receptor CD74 expressions, and cancer prognosis.

Calretinin staining was performed first to differentiate epithelioid and sarcomatoid areas in MPM samples. Calretinin is expressed in the epithelial type of MPM and in the epithelial component of mixed tumours (sarcomatoid mesotheliomas and the sarcomatoid component of mixed tumours do not express calretinin). Our results confirmed Kao et al's findings (Kao et al, 2011) in which calretinin positivity is associated with improved survivals.

This study is the first to determine the prevalence and clinico-pathological significance of MIF and its receptor CD74 in MPM. Migration inhibitory factor and CD74 overexpression in tumour cells is a molecular trait found in 95% and 98% of MPM, respectively. High levels of the MIF-receptor CD74 expression in tumour cells strongly correlated with longer survivals, whatever the histological subtype. Furthermore, MIF expression levels correlated with those of CD74, suggesting that sensitivity of tumour cells to MIF (mediated through its receptor CD74) is important in malignancies and patient survival and could be the preferential pathway implicated in MPM. The MIF/CD74 couple contributes to carcinogenesis in several manners. In some cancers (gastric, hepatocellular, prostate, ovarian, breast, colon, and non-small cell lung cancers), high expression levels of MIF and/or CD74 correlate with poor prognoses (Meyer-Siegler et al, 2002; Tomiyasu et al, 2002; Hagemann et al, 2005; Hira et al, 2005; Xu et al, 2008; Xia et al, 2009). On the contrary, in nasopharyngeal carcinoma or in squamous cell carcinoma of the head and the neck, MIF expression level was associated with improved outcome (Suzuki et al, 2005; Li et al, 2012b). Finally, in breast cancer, patients with the highest levels of cytoplasmic MIF had a better prognosis, while exogenous stimulation of breast cancer cell lines with MIF increased cell proliferation and local invasion (Verjans et al, 2009). The contribution of MIF and CD74 to cancerogenesis seems to vary with the type of cancer and stage of the disease. This may be explained by the different pathways activated by this ligand/receptor complex. Once secreted, MIF binds to CD74 that interacts with CD44, a polymorphic transmembrane protein with kinase activating properties, forming a receptor complex. This complex can then activate several pathways such as the extracellular signal-regulated kinases (ERK)1 and 2 in the mitogen-activated protein kinase pathway, and the phosphoinositide-3-kinase (PI3K)/AKT/SRC signal transduction cascade (Leng et al, 2003; Shi et al, 2006; Lue et al, 2007) leading to upregulation of cell proliferation, and decrease in cell apoptosis, as well as enhancement of cell migration (Meyer-Siegler et al, 2006; Lee et al, 2012c). Migration inhibitory factor/CD74 can also activate the AMPK pathways (Miller et al, 2008; Heinrichs et al, 2011; Iwata et al, 2012). Activation of the AMPK pathway in some cancer cells has been shown to decrease cell proliferation, cell viability, and their metastatic potential (Park et al, 2012; Chang et al, 2013; Kaur et al, 2013), whereas inactivation of this pathway contributes to carcinogenesis in hepatic nodular foci (Miyoshi et al, 2009). Furthermore, underexpression of AMPK-α2 was found to be associated with an undifferentiated cellular phenotype and poor prognosis (Lee et al, 2012b), while patients with high expression of AMPK had a better prognosis in ovarian carcinoma and non-small cell lung cancer (Li et al, 2012a; William et al, 2012).

Contribution of each of these pathways could vary between the different cell types and differentiation state of the cells. Mesothelial cells are plastic cells responding to environmental cues (damaged cells, inflammatory conditions, etc.) with acquisition of mesenchymal features. This plasticity could explain the heterogeneity of MPM with its different histologic subtypes—epithelial, biphasic, and sarcomatoid. The sarcomatoid and epithelioid histotypes resemble the EMT–MET transdifferentiation, being associated with the epithelial and mesenchymal differentiation state of the cell, respectively. Our analyses suggest that the epithelial differentiation state is characterised by high levels of calretinin, MIF/CD74, podoplanin (D2-40) and the inhibitor of Akt signalling pathway PTEN and low level of periostin. Although beyond the scope of present study, it would be interesting to see if the pathway activated by the MIF/CD74 couple (AMPK vs PI3K pathways) depends on differentiation of the cancer cells. Recent studies indicate that MIF/CD74 activation of AMPK pathway inhibits TGF-β-induced EMT (Cufi et al, 2010; Heinrichs et al, 2011; Lee et al, 2013), and suppresses cell proliferation and migration in tumour cells (Kim et al, 2012; Lee et al, 2012a). In other words, activation of this pathway may represent an attempt to prevent EMT.

In summary, these data indicate that MIF and its receptor CD74 are expressed in MPM and that CD74 is an independent prognostic factor. During the MPM tumorigenesis process, malignant epithelial cells progressively change their phenotype into a mesenchymal phenotype. The following sequence could be proposed: in a first step, calretinin, podoplanin, and PTEN expressions decrease, second CD74 and MIF expressions are reduced, and third periostin expression is increased. These genes, in addition to the biomarkers routinely used for diagnosis, could help the pathologists to better characterise MPM histologies and the clinicians to identify patients with a worse prognosis. One of the disadvantages of this study is the retrospective nature of the clinical data. Therefore, correlation of the protein marker expression with tumour stage, therapy, and OS is somewhat limited. We are currently carrying out in vitro studies on human mesothelioma cell lines to characterise the role of MIF, CD74, and MIF/CD74 complexes in malignant mesothelial cell function and proliferation.

The authors declare no conflict of interest.