Journal List > J Pathol Transl Med > v.50(4) > 1152190

Yun, Sun, Jin, Kim, Park, Park, Lee, Lee, and Chung: Aquaporin 1 Is an Independent Marker of Poor Prognosis in Lung Adenocarcinoma

Abstract

Background:

Aquaporin 1 (AQP1) overexpression has been shown to be associated with uncontrolled cell replication, invasion, migration, and tumor metastasis. We aimed to evaluate AQP1 expression in lung adenocarcinomas and to examine its association with clinicopathological features and prognostic significance. We also investigated the association between AQP1 overexpression and epithelial-mesenchymal transition (EMT) markers.

Methods:

We examined AQP1 expression in 505 cases of surgically resected lung adenocarcinomas acquired at the Seoul National University Bundang Hospital from 2003 to 2012. Expression of AQP1 and EMT-related markers, including Ecadherin and vimentin, were analyzed by immunohistochemistry and tissue microarray.

Results:

AQP1 overexpression was associated with several aggressive pathological parameters, including venous invasion, lymphatic invasion, and tumor recurrence. AQP1 overexpression tended to be associated with higher histological grade, advanced pathological stage, and anaplastic lymphoma kinase (ALK) translocation; however, these differences were not statistically significant. In addition, AQP1 overexpression positively correlated with loss of E-cadherin expression and acquired expression of vimentin. Lung adenocarcinoma patients with AQP1 overexpression showed shorter progression-free survival (PFS, 46.1 months vs. 56.2 months) compared to patients without AQP1 overexpression. Multivariate analysis confirmed that AQP1 overexpression was significantly associated with shorter PFS (hazard ratio, 1.429; 95% confidence interval, 1.033 to 1.977; p=.031).

Conclusions:

AQP1 overexpression was thereby concluded to be an independent factor of poor prognosis associated with shorter PFS in lung adenocarcinoma. These results suggested that AQP1 overexpression might be considered as a prognostic biomarker of lung adenocarcinoma.

Non-small cell lung cancer (NSCLC) is one of the major causes of cancer-related deaths, and the treatment of NSCLC remains challenging. Adenocarcinoma comprises more than half of all NSCLC. Recent research has yielded a better understanding of the carcinogenesis, molecular subtypes, and prognostic factors of NSCLC, and several novel agents targeting oncogenic pathways have been introduced for the clinical treatment of NSCLC. Despite advancements in surgical treatment, selective targeted therapy, and early cancer detection, the relative long-term survival rate of NSCLC is still lower than that of other malignancies [1-3]. Therefore, a better understanding of the mechanism(s) of NSCLC tumor progression is needed, and useful prognostic biomolecular markers for accurate prediction of the clinical outcome of NSCLC are of great clinical significance.
Aquaproin 1 (AQP1) is a member of the aquaporin family found in cell membranes, and primarily facilitates transcellular water transport. AQP1 is expressed in various tissues such as kidney, choroid plexus, and gall bladder, and has a role in various physiological and pathological processes [4-6]. Recently, several reports have revealed that AQP1 overexpression is associated with uncontrolled cell replication, invasion, migration, and metastasis in tumors [5,7]. In lung cancer, various studies have shown the preferential expression of AQP1 in adenocarcinoma, and an association between AQP1 expression and tumor cell differentiation, invasion, metastasis, and poor prognosis [8-12]. However, the molecular role and mechanism of AQP1 in cancer cell invasion remains unclear.
Epithelial-mesenchymal transition (EMT) is a complex process in which epithelial cells lose cell-cell adhesions and gain migratory properties. EMT has been implicated in many aspects of cancer, such as tumor cell invasion, metastasis, drug resistance, and poor clinical outcome. The mechanism of EMT results from complex signaling pathway crosstalk between tumor cells and the tumor microenvironment. Several studies have shown that alterations in EMT-related markers are observed in lung adenocarcinoma, and these alterations enhanced tumor progression and metastasis [13-15]. Recent results have indicated that AQP1 overexpression is correlated to EMT in both colon and breast cancers [16-18], but the correlation has not yet been investigated in lung cancer.
In the present study, we analyzed the immunohistochemical expression of AQP1 in a large series of lung adenocarcinoma specimens, and evaluated the frequency and pattern of AQP1 expression along with its association with clinicopathological factors, molecular subtypes, and patient outcome. In addition, we explored the correlation between AQP1 overexpression and alteration of the EMT-related markers E-cadherin and vimentin.

MATERIALS AND METHODS

Tissue samples and classification

Tumor samples were collected from 505 consecutive lung adenocarcinoma patients who underwent curative surgical resection at Seoul National University Bundang Hospital between May 2003 and December 2012. Clinicopathological information and follow-up data were obtained by reviewing the medical and the pathological records of the enrolled patients. Smoking history was defined as smokers who have smoked 100 cigarettes, and never-smokers who have never smoked or smoked less than 100 cigarettes in their life time. Two pathologists (S.Y. and J.-H.C) independently reviewed the hematoxylin and eosin stained slides and classified the diagnosis according to the International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society (IASLC/ATS/ERS) criteria and the 2015 World Health Organization (WHO) classification system [19,20]. Histological grade was based on the predominant histological subtypes as follows: grade 1, lepidic; grade 2, acinar and papillary; and grade 3, solid and micropapillary. Tumors were staged according to the American Joint Committee on Cancer, seventh staging system. Progression-free survival (PFS) was measured from the date of surgery until disease progression or death. Overall survival (OS) was measured from the date of surgery to the time of death or last follow-up visit. The Institutional Review Board of the Seoul National University Bundang Hospital approved this study.

Tissue microarray

The most representative areas were obtained for each tumor sample and arranged for tissue microarray (TMA). Tissue cores with a diameter of 2 mm were embedded within TMA blocks, which were sectioned into series of 4-μm-thick slices and then stained with hematoxylin and eosin; immunohistochemical labeling was then performed.

Immunohistochemical staining and assessment

Immunohistochemistry for AQP1, E-cadherin, and vimentin were performed according to the antibody manufacturer’s instructions. The following antibodies were used: AQP1 (B-11, 1:100, Santa Cruz Biotechnology, Santa Cruz, CA, USA), E-cadherin (SPM471, 1:150, Thermo Fisher Scientific, Carlsbad, CA, USA), and vimentin (1:100, 4A4, Zeta Corporation, Arcadia, CA, USA). AQP1 showed both apicolateral staining and complete circumferential membranous staining (Fig. 1). AQP1 overexpression was defined when ≥ 25% showed membranous staining with loss of polarization, as previously reported [21]. Immunohistochemical stains of E-cadherin and vimentin were scored using a semi-quantitative evaluation for each case. The intensity of staining was scored on a four-point scale as follows: 0, no staining; 1, weak staining; 2, moderate staining; and 3, strong staining. The score was based on the fraction of positive cells (1%–100%). The final score was calculated by multiplying the intensity score to the fraction score, generating a total range of 0–300. Scores of 0–100 and 101–300 were considered as negative and positive, respectively, as previously reported [22].

Molecular characteristics

Translocation of anaplastic large cell lymphoma kinase (ALK) was evaluated in 440 cases by fluorescence in situ hybridization analysis using a probe to ALK (Vysis LSI ALK dual color, break-apart rearrangement probe, Abbott Molecular, Des Plaines, IL, USA); translocation was observed in 28 out of 440 cases (6.4%). Epidermal growth factor receptor (EGFR) mutations of exon 18 to 21 and KRAS mutations of codon 12 and 13 were evaluated in 484 and 413 cases using polymerase chain reaction and direct DNA sequencing, as previously described [23]. EGFR and KRAS mutations were identified in 49.0% (237/484) and 6.1% (25/413) of cases, respectively.

Statistical analysis

All statistical analyses were performed using SPSS ver. 18.0 (SPSS Inc., Chicago, IL, USA). The association between immunohistochemistry results and clinicopathological variables was assessed by chi-square test, Fisher exact test, or Spearman’s rank correlation test. Kaplan-Meier analysis with log-rank test and multivariate cox regression analysis were performed for survival analysis. Statistical significance was defined as p<.05.

RESULTS

Clinicopathological characteristics

The clinicopathological characteristics of patients are summarized in Table 1. The tumor specimens in this study were from 505 lung adenocarcinoma patients, consisting of 247 male (48.9%) and 258 female (51.1%) patients. The mean age of patients was 62.9 years (range, 21 to 83 years), with 302 non-smokers (59.8%) and 203 smokers (40.2%). With respect to tumor pathology, 274 samples (54.3%) were pathologic stage I, 93 (18.4%) were stage II, 109 (21.6%) were stage III, and 29 (5.7%) were stage IV. According to the new IASLC/ATS/ERS adenocarcinoma classification and the 2015 WHO classification, 298 (59.0%) were acinar, 83 (16.4%) were papillary, 73 (14.5%) were solid, 33 (6.5%) were lepidic, 8 (1.6%) were micropapillary, and 10 (2.0%) were invasive mucinous subtypes. Venous invasion, lymphatic invasion, and perineural invasion were observed in 25.7% (130/505), 50.1% (253/505), and 7.1% (36/505) of samples, respectively.

AQP1 protein expression by immunohistochemistry

AQP1 expression was observed in the vascular endothelial cells and the apicolateral surfaces of hyperplastic type II pneumocytes around tumors. AQP1 was also detected in myoepithelial cells of bronchial glands and red blood cells (data not shown).

Association of AQP1 overexpression with clinicopathological features

AQP1 overexpression (Fig. 1) was detected in 20.8% of adenocarcinoma cases (105/505). Table 1 shows the association of AQP1 overexpression with clinicopathological variables. There was a significant association of AQP1 overexpression with venous invasion (p=.035) and lymphatic invasion (p=.039). The recurrence rate of patients with AQP1 overexpression was significantly higher than that of patients without AQP1 overexpression (p=.029). AQP1 overexpression was not associated with higher histological grade (p=.097), pleural invasion (p=.131), and other clinicopathological variables or molecular characteristics, such as EGFR and KRAS mutation and ALK rearrangement.

Association between AQP1 overexpression and EMT-related marker expression

In total, immunohistochemical analyses of E-cadherin and vimentin were performed for 479 and 471 cases, respectively. Loss of E-cadherin expression was observed in 201 of 479 cases (42.0%), and expression of vimentin was observed in 192 of 471 cases (40.8%). We compared the association of AQP1 overexpression to expression of E-cadherin or vimentin (Table 2) and found that AQP1 overexpression was correlated with loss of E-cadherin expression (p=.011) and expression of vimentin (p<.001).

Survival analysis according to AQP1 overexpression

At the time of analysis, the median PFS was 31.0 months (range, 1 to 84 months) and the median OS was 39 months (range, 1 to 84 months). During this time, 194 patients (38.4%) suffered tumor recurrence and 90 patients (17.8%) died from cancer. Survival analysis using Kaplan-Meier and Cox proportional hazards analyses were performed to evaluate the prognostic impact of AQP1 overexpression. As shown in Fig. 2, Kaplan-Meier revealed that PFS of patients with AQP1 overexpression was significantly shorter than that of the patients without AQP1 overexpression group (p=.018). However, AQP1 overexpression had no prognostic impact on OS (p=.234). Univariate analysis indicated that larger tumor size (p<.001), higher histological grade (p=.032), pleural invasion (p<.001), venous invasion (p<.001), lymphatic invasion (p<.001), perineural invasion (p=.043), pTNM stage (p<.001), and AQP1 overexpression (46.1 months vs. 56.2 months, p=.020) were associated with shorter PFS (Fig. 2A). Multivariate cox regression analysis demonstrated AQP1 overexpression to be an independent factor indicating poor prognosis with regard to PFS in patients with lung adenocarcinoma (hazard ratio [HR], 1.429; 95% confidence interval [CI], 1.033 to 1.977; p=.031). Larger tumor size (HR, 1.797; 95% CI, 1.336 to 2.418; p<.001), pleural invasion (HR, 1.372; 95% CI, 1.007 to 1.871; p=.045), lymphatic invasion (HR, 1.547; 95% CI, 1.113 to 2.151; p=.009), and pTNM stage (HR, 2.179; 95% CI, 1.586 to 2.995; p<.001) were also independent prognostic factors associated with shorter PFS in lung adenocarcinoma. For OS, larger tumor size (p<.001), higher histological grade (p=.021), pleural invasion (p<.001), venous invasion (p<.001), lymphatic invasion (p<.001), perineural invasion (p=.001), vimentin expression (p=.045), and pTNM stage (p<.001) reached statistical significance by univariate analysis. AQP1 overexpression was not associated with OS (63.2 months vs. 70.1 months, p=.237). In multivariate analysis, larger tumor size (HR, 1.775; 95% CI, 1.137 to 2.771; p=.012), venous invasion (HR, 2.129; 95% CI, 1.352 to 3.354; p=.001), and pTNM stage (HR, 4.789; 95% CI, 3.026 to 7.578; p<.001) were statistically significant.

DISCUSSION

In the present study, we assessed the expression of AQP1 in 505 lung adenocarcinomas and evaluated the relationship between AQP1 overexpression and various clinicopathological factors and molecular characteristics, as well as the expression of EMT-related markers. Our study showed that AQP1 overexpression significantly correlated with several aggressive pathological factors and can be used as an independent prognostic factor for PFS in lung adenocarcinoma.
AQP1 is a plasma membrane channel involved in transepithelial water transport [5,7]. Recently, the functional roles of AQP1 protein expression have been studied in various cancers. Previous studies have demonstrated that AQP1 is upregulated in several cancer tissues in vitro and in vivo, and AQP1 overexpression is associated with poor prognosis [11,13,16,17,24]. Hoque et al. [8] reported that upregulated AQP1 in lung cancer may play a role in cancer cell proliferation by resisting apoptosis. Machida et al. [10] showed that AQP1 overexpression with a loss of polarization is associated with invasive growth and poor prognosis in lung adenocarcinomas. Consistent with previous observations, our study showed that AQP1 overexpression tended to be more frequently observed in the high grade histological subtypes of adenocarcinomas although it was not statistically significant.
We also analyzed the association of AQP1 overexpression with EMT-related markers (E-cadherin and vimentin). The loss of E-cadherin and increased expression of vimentin, both hallmarks of a mesenchymal phenotype, were frequently observed in tumors with AQP1 overexpression. We hypothesized that AQP1 may participate in tumor progression through EMT (loss of E-cadherin and vimentin expression) in lung adenocarcinoma. EMT is implicated in tumor progression, invasion, metastasis, and poor prognosis in lung cancer [6,13,25]. Recently, several reports have suggested that AQP1 overexpression is associated with cancer cell invasion. AQP1 has been suggested to function as a linker molecule to promote EMT, or to stabilize the cytoskeletal complex [8,10,26,27]. Similar results were reported in various cancers including colorectal cancer, breast cancer, and brain tumors [13,17,28], which is in line with our results. The exact biological and functional mechanism of AQP1 to promote EMT needed to be clarifiied by further studies. Of note, some studies demonstrated that tumor tissue showed intratumoral heterogeneity of AQP1 expression in brain tumor [24,29]. Thus, it is necessary to clarify the intratumoral heterogenous distribution of AQP1 overexpression in cancer and its clinical significance.
In conclusion, we demonstrated that overexpression of AQP1 was significantly associated with venous invasion, lymphatic invasion, higher pathological stage, and cancer recurrence in lung adenocarcinomas. AQP1 was also deemed an independent marker of poor prognosis with regard to PFS. In particular, increased expression of AQP1 protein was associated with the expression of vimentin and loss of E-cadherin expression, suggesting that AQP1 overexpression may be involved in tumor cell invasion through facilitating EMT.

Notes

Conflicts of Interest

No potential conflict of interest relevant to this article was reported.

ACKNOWLEDGMENTS

This work was supported by a grant of the Korean Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea (HI14C1907), the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2013R1A1A2A10059757).

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Fig. 1.
Immunohistochemical expression of aquaporin 1 in lung adenocarcinomas. (A) Apicolateral pattern. (B) Circumferential membranous staining.
jptm-2016-03-30f1.tif
Fig. 2.
Kaplan-Meier survival estimate graphs of progression-free survival (A) and overall survival (B) according to the overexpression of aquaporin 1 in lung adenocarcinoma patients.
jptm-2016-03-30f2.tif
Table 1.
Clinicopathological characteristics of AQP1 overexpression in 505 lung adenocarcinoma patients
Variable Total AQP1 overexpression
Negative Positive p-value
Sex .938
 Male 247 196 (79.4) 51 (20.6)
 Female 258 204 (79.1) 54 (20.9)
Age (yr) .092
 ≤ 60 181 136 (75.1) 45 (24.9)
 > 60 324 264 (81.5) 60 (18.5)
Smoking history .347
 Non-smoker 302 235 (77.8) 67 (22.2)
 Smoker 203 165 (81.3) 38 (18.7)
Tumor size (cm) .145
 ≤ 3 276 212 (76.8) 64 (23.2)
 > 3 229 188 (82.1) 41 (17.9)
Histological grade .097
 G1 34 30 (88.2) 4 (11.8)
 G2 390 312 (80.0) 78 (20.0)
 G3 81 58 (71.6) 23 (28.4)
Acinar predominant .368
 No 207 168 (81.2) 39 (18.8)
 Yes 298 232 (77.9) 66 (22.1)
Papillary predominant .120
 No 422 339 (78.0) 93 (22.0)
 Yes 83 71 (85.5) 12 (14.5)
Lepidic predominant .087
 No 472 370 (78.4) 102 (21.6)
 Yes 33 30 (90.9) 3 (9.1)
Solid predominant .233
 No 432 346 (80.1) 86 (19.9)
 Yes 73 54 (74.0) 19 (26.0)
Othersa .552
 No 487 387 (79.5) 100 (20.5)
 Yes 18 13 (72.2) 5 (27.8)
Pleural invasion .131
 Absent 283 231 (81.6) 52 (18.4)
 Present 222 169 (76.1) 53 (23.9)
Venous invasion .035b
 Absent 377 307 (81.4) 70 (18.6)
 Present 130 93 (72.7) 35 (27.3)
Lymphatic invasion .039b
 Absent 252 209 (82.9) 43 (17.1)
 Present 253 193 (75.5) 62 (24.5)
Perineural invasion .290
 Absent 469 369 (78.7) 100 (21.2)
 Present 36 31 (86.1) 5 (13.9)
pTNM stage .072
 I–II 367 298 (81.2) 69 (18.8)
 III–IV 138 102 (73.9) 36 (26.1)
Recurrence .029b
 No 311 256 (82.3) 55 (17.7)
 Yes 194 144 (74.2) 50 (25.8)
Death .130
 No 415 334 (80.5) 81 (19.5)
 Yes 90 66 (73.3) 24 (26.7)
EGFR mutation (n = 484) .583
 Wild type 247 193 (78.1) 54 (21.9)
 Mutant type 237 190 (80.2) 47 (19.8)
KRAS mutation (n = 413) .326
 Wild type 388 311 (80.2) 77 (19.8)
 Mutant type 25 18 (72.0) 7 (28.0)
ALK translocation (n = 440) .089
 Wild type 412 334 (81.1) 79 (18.9)
 Mutant type 28 19 (67.9) 9 (32.1)

Values are presented as number (%).

AQP1, aquaporin 1; EGFR, epidermal growth factor receptor; ALK, anaplastic lymphoma kinase.

a Invasive mucinous and micropapillary subtype;

b Statistically significant value.

Table 2.
Correlation between AQP1 overexpression and EMT-related proteins
Variable Total AQP1 overexpression
Negative Positive p-value
E-Cadherin expression (n = 479) .011a
 Decreased 201 147 (73.1) 54 (26.9)
 Preserved 278 230 (82.7) 48 (17.3)
Vimentin expression (n = 471) < .001a
 Negative 279 238 (85.3) 41 (14.7)
 Positive 192 133 (69.3) 59 (30.7)

Values are presented as number (%).

AQP1, aquaporin 1; EMT, epithelial-mesenchymal transition.

a Statistically significant value.

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