Literature DB >> 33281974

The expression of trefoil factor 3 is related to histologic subtypes and invasiveness in lung adenocarcinoma.

Wenjuan Luo1,2, Shinichiro Tahara1, Keisuke Kawasaki1, Ayaka Kobayashi1, Satoshi Nojima1, Eiichi Morii1.   

Abstract

Adenocarcinoma is the most common histological type of lung cancer and has various histologic subtypes, including lepidic, papillary, acinar and invasive mucinous adenocarcinoma. Histologic subtypes are associated with tumor invasiveness. For example, the lepidic subtype is less invasive than the papillary/acinar subtype. Trefoil factor 3 (TFF3) is a small secreting protein that is a member of the trefoil factor family, which is involved in mucosal stabilization and repair through its mitogenic and antiapoptotic activities. TFF3 overexpression is associated with various types of cancer. In lung cancer, TFF3 is expressed significantly in adenocarcinoma. However, the relationship between TFF3 expression and histologic subtypes in lung adenocarcinoma is unclear. The current study immunohistochemically revealed that, beside invasive mucinous carcinoma, the expression of TFF3 in papillary and acinar adenocarcinoma was significantly higher than that in lepidic adenocarcinoma. To further confirm these results, the expression of TFF3 in cases with both lepidic and papillary/acinar areas were examined. The expression of TFF3 in papillary/acinar areas was significantly higher when compared with lepidic areas in a single sample. Furthermore, using the lung adenocarcinoma cell line A549, TFF3-knockdown cells were generated. The results revealed that knockdown of TFF3 attenuated invasion. In vitro and immunohistochemical assays using clinical samples demonstrated that TFF3 expression was associated with lung adenocarcinoma invasiveness. To the best of our knowledge, the current study is the first to report that TFF3 expression was associated with the histologic subtypes of lung adenocarcinoma. Copyright: © Luo et al.

Entities:  

Keywords:  immunohistochemistry; invasiveness; lung adenocarcinoma; trefoil factor 3

Year:  2020        PMID: 33281974      PMCID: PMC7709562          DOI: 10.3892/ol.2020.12325

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Lung cancer is the leading cause of cancer-related mortality. Non-small cell lung carcinoma accounts 85% of lung cancer, and adenocarcinoma is the most common histological type (1). Lung adenocarcinoma has various histologic subtypes, such as lepidic, acinar, papillary, micropapillary, solid, invasive mucinous adenocarcinoma, and so on. Histologic subtypes are a prognostic factor; lepidic subtype harbors the best prognostic course, whereas micropapillary and solid patterns have a more aggressive behavior. Moreover, most lung adenocarcinomas demonstrate a mixture of different histologic patterns. The combination of histologic subtypes is important for prognosis (2). Trefoil factor 3 (TFF3) is a small secreting protein and a member of trefoil factor family, which is involved in mucosal stabilization and repair through mitogenic and antiapoptotic activities (3,4). TFF3 is distributed mainly in goblet cells of intestine and lung (5). Overexpression of TFF3 has been reported to be associated with several types of cancer, such as stomach, uterus, and breast (6–8). In lung cancer, TFF3 is expressed significantly in adenocarcinoma and is a useful biomarker to distinguish between adenocarcinoma and squamous cell carcinoma (9). However, the relationship between TFF3 expression and histologic subtypes in lung adenocarcinoma has not been examined. Here we revealed the relationship between TFF3 expression and histologic subtypes in lung adenocarcinoma. By immunohistochemical analysis of 93 lung adenocarcinoma cases, we showed TFF3 was highly expressed not only in invasive mucinous adenocarcinoma but also in papillary and acinar adenocarcinoma. The expression level of TFF3 was higher in papillary/acinar subtype than in lepidic subtype; the former was more aggressive subtype than the latter. Moreover, we generated TFF3-knockdown lung adenocarcinoma cells and showed that the depletion of TFF3 attenuated invasion. TFF3 expression is correlated to invasiveness in lung adenocarcinoma.

Materials and methods

Patients

We examined 93 cases undergoing surgery for adenocarcinoma of the lung at Osaka University Hospital from 2013 to 2018. No prior therapy was administered in any case. Due to the short observation period, only 3 cases died of the underlying disease, and then we focused the relation of TFF3 expression to histological subtypes rather than prognosis. Histologic subtypes were classified according to WHO criteria (10). The histological subtypes were lepidic (n=20), acinar (n=15), papillary (n=22), solid adenocarcinoma (n=19), and invasive mucinous adenocarcinoma (n=17) (Table I). Lepidic adenocarcinoma included 3 cases of adenocarcinoma in situ (AIS) and 3 cases of minimally invasive adenocarcinoma (MIA). Resected specimens were fixed in 10% formalin and processed for paraffin embedding. Specimens were stored at room temperature in a dark room. Specimens for evaluation were sectioned at 4 µm thickness and stained with hematoxylin and eosin (H&E). The study was approved by the Ethical Review Board of the Graduate School of Medicine, Osaka University (approval no. 16293). Informed consent was obtained from all patients.
Table I.

Histologic subtypes of 93 cases of lung adenocarcinoma.

Histologic subtypesNumber of patients
Lepidic adenocarcinoma[a]20
Acinar adenocarcinoma15
Papillary adenocarcinoma22
Solid adenocarcinoma19
Invasive mucinous adenocarcinoma17

Lepidic adenocarcinoma includes 3 cases of adenocarcinoma in situ and 3 cases of minimally invasive adenocarcinoma.

Immunohistochemistry for TFF3 and evaluation with histological score (H-score)

Expression of TFF3 was examined with the primary rabbit anti-TFF3 monoclonal antibody (dilution 1:2,000 cat. no. ab108599; Abcam). Subsequent to deparaffinization with xylene and rehydration with graded alcohol treatment, sections were heated to 121°C in the Pascal Pressurized Heating Chamber (Agilent Technologies, Inc.). After cooling, the sections were washed in phosphate-buffered saline, blocked with blocking solution (cat. no. X0909; Agilent Technologies, Inc.) and incubated with anti-TFF3 antibody. Next, the sections were treated with a ChemMate EnVision kit (Agilent Technologies, Inc.) that contains a polymerized secondary antibody to increase detection sensitivity for the primary antibody. Diaminobenzidine (DAB) (Agilent Technologies, Inc.) was used as a chromogen. Sections were counterstained with hematoxylin and observed by microscopy. As the negative control, staining was carried out in the absence of primary antibody. Staining intensity (0, 1+, 2+ or 3+) was determined for each sample independently by two pathologists (S.T. and E.M.). H-score was calculated using the following formula: [1× (% tumor cells of 1+) + 2× (% tumor cells of 2+) + 3× (% tumor cells of 3+)].

Cell line

The human lung adenocarcinoma cell line, A549 was obtained from ATCC. Cells were cultured in DMEM supplemented with 10% FBS (Biosera) and in a humidified 5% CO2 incubator at 37°C.

Immunoblotting

Cells were lysed in buffer containing 10 mM 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid, 10 mM KCl, 1 mM ethylenediaminetetraacetic acid, 1 mM dithiothreitol and 0.1% Nonidet P-40. Electrophoresis was performed in 5–20% gradient sodium dodecyl sulphate-polyacrylamide gels (ATTO), and proteins were transferred to polyvinylidene fluoride membranes (Merck KGaA). We used the primary anti-TFF3 antibody at 1:500 and it was detected using a horseradish peroxidase-conjugated anti-rabbit IgG (H+L chain) (1:5,000; MBL). We quantified the results using ImageJ (https://imagej.nih.gov/ij/).

Generation of TFF3-knockdown cells using siRNA-mediated silencing

A549 cells (1×105) seeded into six-well culture plates were transfected with TFF3-targeting siRNA (Silencer Select s14039, s14040 and s14041; Thermo Fisher Scientific, Inc.) or non-targeting control siRNA (AM4611; Thermo Fisher Scientific, Inc.) using Lipofectamine RNAiMAX Reagent (Thermo Fisher Scientific, Inc.) at a final concentration of 50 nM. Cells were subjected to the immunoblotting analysis and matrigel invasion assay 72 h after siRNA transfection.

Matrigel invasion assay

Tumor cell invasion was examined using the Corning BioCoat Matrigel Invasion Chamber (Corning, Inc.). Tumor cells were placed in the upper chamber in DMEM without FBS and incubated at 37°C for 24 h. The lower chamber contained DMEM with 10% FBS. Invasive cells, which migrated to the lower side of the upper chamber, were stained with Diff-Quik (Sysmex). The number of invasive cells was counted in five random fields per chamber at high magnification.

Statistical analysis

Statistical analyses were performed using JMP Pro v14 software (SAS Institute Inc.). Results were shown as the means ± standard error (SE). Differences in results were determined using Student's t-test, Wilcoxon signed-rank test, and analysis of variance (ANOVA) followed by Dunnett's test. P<0.05 was considered to indicate a statistically significant difference.

Results

Expression of TFF3 with immunohistochemical analysis

TFF3 was hardly expressed in non-cancerous alveolar epithelial cells (Fig. 1A), but strongly in normal bronchial glands and bronchial epithelium (Fig. 1B). Lung adenocarcinoma cells expressed TFF3 in their cytoplasm, the expression level of which was various among cases. The typical staining patterns were shown in Fig. 1C-E; weakly in Fig. 1C, moderately in Fig. 1D, and strongly in Fig. 1E.
Figure 1.

Varying immunohistochemical staining intensities demonstrate TFF3 expression in normal lung and lung adenocarcinoma. (A) Non-cancerous alveolar epithelial cells hardly expressed TFF3. (B) Normal bronchial glands and bronchial epithelium strongly expressed TFF3. (C-E) Representative immunohistochemistry images of lung adenocarcinoma were presented with intensity scores of weak (1+; C), moderate (2+; D) and strong (3+; E), respectively. Scale bars in (A and B), 100 µm; scale bares in (C-E), 50 µm. TTF3, trefoil factor 3.

Association between TFF3 expression and histologic subtypes

The associations between TFF3 expression level (H-score) and histologic subtypes were evaluated (Table II). The expression of TFF3 was hardly detected in lepidic subtype (Fig. 2A), moderately in papillary and acinar subtypes (Fig. 2B and C), and weakly in solid subtype (Fig. 2D). The highest expression level of TFF3 was detected in invasive mucinous carcinoma (Fig. 2E), in which tumor cells showed diffuse and strong positivity. The rank order of TFF3 expression level was as follows; invasive mucinous adenocarcinoma > papillary and acinar subtypes > solid and lepidic subtypes.
Table II.

TFF3 expression in various histologic subtypes of lung adenocarcinoma.

Histologic subtypeH-score[a]
Lepidic adenocarcinoma12.95±4.94
Acinar adenocarcinoma30.87±9.26[b]
Papillary adenocarcinoma36.05±10.74[b]
Solid adenocarcinoma18.47±6.58
Invasive mucinous adenocarcinoma137.35±18.33[b]

Data are presented as the mean ± standard error.

P<0.05 vs. lepidic adenocarcinoma. TFF3, Trefoil factor 3.

Figure 2.

Trefoil factor 3 expression in various lung adenocarcinoma histologic subtypes. Typical images were presented in (A) lepidic adenocarcinoma, (B) acinar adenocarcinoma, (C) papillary adenocarcinoma, (D) solid adenocarcinoma and (E) invasive mucinous adenocarcinoma. Scale bars, 100 µm.

Several lung adenocarcinoma is known to be composed of mixture of histologic subtypes. In fact, 38 cases showed the mixture of lepidic subtype and papillary/acinar subtype (Fig. 3A; boxed area with solid line was lepidic subtype, whereas boxed area with dotted line was papillary subtype). Then, we compared TFF3 expression level between area of lepidic subtype (Fig. 3B) and that of papillary/acinar subtype (Fig. 3C) in an individual case. H-score of papillary/acinar area was significantly higher than that of lepidic area (Fig. 3D).
Figure 3.

Varying TFF3 expression in an individual sample with mixed histologic subtypes. (A) Immunohistochemistry of TFF3 in a case with both lepidic and papillary areas. The boxed area with a solid line represents the lepidic area, which was enlarged in (B). The boxed area with a dotted line represents the papillary area, which was enlarged in (C). (D) The comparison of lepidic area and papillary/acinar area H-scores in 38 cases with both these areas. Each line represented the H-score of lepidic and papillary/acinar area of each case, and the data revealed a significant increase in papillary/acinar area from 22 of the 38 cases (red line). No differential expression in other samples was marked with a black line. The Wilcoxon signed-rank test was used to determine significance. Scale bar in (A), 1 mm; Scale bars in (B an C), 250 µm. TTF3, trefoil factor 3.

Involvement of TFF3 in the invasion of lung adenocarcinoma cells

We transfected A549 cells with 3 individual siRNA duplexes specific for TFF3 (siTFF3 #1, #2 and #3), or a nontargeting control siRNA (siControl), and confirmed the decrease in TFF3 protein expression in TFF3-knockdown cells (Fig. 4A). We found that in comparison with control cells, the invasion of TFF3-knockdown cells was attenuated (Fig. 4B). Thus, TFF3 is involved in the invasion of lung adenocarcinoma cells.
Figure 4.

The association between TFF3 expression and adenocarcinoma lung cell invasiveness. (A) Confirmation of TFF3 knockdown in siTFF3 #1, #2 and #3 A549 cells. Equal protein loading was confirmed by quantifying β-actin (input control). TFF3 expression was quantified using ImageJ version 1.52 software. TFF3/β-actin quotient of control cells is expressed as 1. The relative quotient of TFF3-knockdown cells is presented as the ratio to that of control cells. (B) Matrigel invasion assay. Representative images of invading #1, #2 and #3 and control cells are presented. Invasive cells were counted in 5 random fields of view. Data are presented as the mean ± standard error. *P<0.05 and **P<0.01, as indicated. Scale bars, 100 µm. TTF3, trefoil factor 3; si, small interfering RNA.

Discussion

TFF3 is related to mucosal stabilization in gastrointestinal tract in normal condition and is upregulated in various types of cancer (4,6–8). To date, no studies have compared TFF3 expression in histologic subtypes of lung adenocarcinoma. In the present study, we pointed that the expression level of TFF3 in invasive mucinous carcinoma was the highest, followed by papillary, acinar, solid, and lepidic subtypes of adenocarcinoma. It's not surprising that the expression of TFF3 in invasive mucinous carcinoma was overwhelmingly high because TFF3 is mainly distributed in mucous cells in normal condition. Besides invasive mucinous carcinoma, the expression of TFF3 in papillary and acinar adenocarcinoma was significantly higher than in lepidic adenocarcinoma. We considered that TFF3 was related to invasiveness in lung adenocarcinoma. To confirm that, we used 38 cases with both lepidic and papillary/acinar areas. A subset of lung adenocarcinoma follows a linear multistep progression, in which a precursor lesion progresses to adenocarcinoma in situ, which is followed by invasive adenocarcinoma (11). In the case with both lepidic and papillary/acinar areas, lepidic area means non-invasive and papillary/acinar area means invasive area. The expression of TFF3 in papillary/acinar area was significantly higher than that of lepidic area in an individual sample. Moreover, we showed that using lung adenocarcinoma cells, the depletion of TFF3 attenuated invasion. Therefore, we proved that TFF3 is related to invasiveness by means of both in vitro and immunohistochemical assays on clinical samples. On the other hand, the expression of TFF3 in solid adenocarcinoma, a highly invasive histologic subtype, was not significantly high. Further investigation is necessary to detect the molecular mechanism of invasion by TFF3 in lung adenocarcinoma. Collectively, our findings revealed that in lung adenocarcinoma TFF3 was highly expressed not only in invasive mucinous carcinoma but also in papillary and acinar adenocarcinoma. This is, to our knowledge, the first report that TFF3 expression was related to the histologic subtype in lung adenocarcinoma.
  11 in total

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Journal:  Lung Cancer       Date:  2011-06-25       Impact factor: 5.705

4.  Localization of TFF3, a new mucus-associated peptide of the human respiratory tract.

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5.  Prognostic Value of Trefoil Factor 3 Expression in Patients with Gastric Cancer.

Authors:  Yoshiki Taniguchi; Yukinori Kurokawa; Tsuyoshi Takahashi; Jota Mikami; Yasuhiro Miyazaki; Koji Tanaka; Tomoki Makino; Makoto Yamasaki; Kiyokazu Nakajima; Masaki Mori; Yuichiro Doki
Journal:  World J Surg       Date:  2018-12       Impact factor: 3.352

6.  Trefoil factor family (TFF) peptides and cancer progression.

Authors:  Shahin Emami; Sylvie Rodrigues; Christelle M Rodrigue; Nathalie Le Floch; Christine Rivat; Samir Attoub; Erik Bruyneel; Christian Gespach
Journal:  Peptides       Date:  2004-05       Impact factor: 3.750

7.  Trefoil factor family 3 (TFF3) expression and its interaction with estrogen receptor (ER) in endometrial adenocarcinoma.

Authors:  Paulette Mhawech-Fauceglia; Dan Wang; Damanzoopinder Samrao; Song Liu; Nefertiti C DuPont; Tanja Pejovic
Journal:  Gynecol Oncol       Date:  2013-04-08       Impact factor: 5.482

8.  Trefoil factor 3 promotes metastatic seeding and predicts poor survival outcome of patients with mammary carcinoma.

Authors:  Vijay Pandey; Zheng-Sheng Wu; Min Zhang; Rui Li; Jian Zhang; Tao Zhu; Peter E Lobie
Journal:  Breast Cancer Res       Date:  2014-09-30       Impact factor: 6.466

9.  Trefoil factor 3 as a novel biomarker to distinguish between adenocarcinoma and squamous cell carcinoma.

Authors:  Xiao-Nan Wang; Shu-Jing Wang; Vijay Pandey; Ping Chen; Qing Li; Zheng-Sheng Wu; Qiang Wu; Peter E Lobie
Journal:  Medicine (Baltimore)       Date:  2015-05       Impact factor: 1.889

10.  Pathologic heterogeneity of lung adenocarcinomas: A novel pathologic index predicts survival.

Authors:  Geewon Lee; E-Ryung Choi; Ho Yun Lee; Ji Yun Jeong; Joong Hyun Ahn; Seonwoo Kim; Jungmin Bae; Hong Kwan Kim; Yong Soo Choi; Jhingook Kim; Jaeil Zo; Kyung Soo Lee; Young Mog Shim
Journal:  Oncotarget       Date:  2016-10-25
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