Bronchial-pulmonary adenocarcinoma subtyping relates with different molecular pathways
Vítor Sousaa,,b, , Bruno Bastosa, Maria Silvaa, Ana Maria Alarcãoa, Lina Carvalhoa,b
a IAP-FMUC-Institute of Pathology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
b Pathology Institute, Coimbra University Hospital (HUC-CHUC), Coimbra, Portugal

Lung cancer is one of the most common cancers in the world with a high mortality rate. We analyzed 45 surgical samples of the adenocarcinoma, 13 with lymph node metastasis. APC, BCL2, chromogranin A, CK 5/6/18 (LP34), CK20, CK7, cyclin D1, EGFR, ERCC1, HER2, Ki67, LRP, MRP, P53, RB and TTF1 expressions were evaluated by immunohistochemistry (IHC).

Higher Ki67, APC, ERCC1 expressions and lower TTF1 expression were identified in advanced stages (IIA and IIIA) of adenocarcinomas, which reflect a more aggressive, less differentiated, possibly a non-TRU adenocarcinoma.

Acinar, micropapillary and BA/lepidic adenocarcinoma patterns were the most similar patterns and papillary was the most different pattern followed by solid pattern, according to expression of these markers. Different adenocarcinoma patterns are engaged with different molecular pathways for carcinogenesis, based on the differences of expression. Acinar, BA/lepidic and micropapillary showed higher TTF1 expression (type TRU), and papillary and solid patterns revealed less TTF1 expression, exhibiting a non-TRU/bronchial phenotype. Solid pattern revealed lower HER2 and higher EGFR and ERCC1 (this compared to papillary) expression; papillary higher HER2 and lower ERCC1 expressions; micropapillary higher RB expression; and acinar lower ERCC1 and higher EGFR expressions. Ciclin D1 seems to have more importance in acinar and BA/lepidic patterns than in micropapillary. ERCC1 protein expression in micropapillary, solid and BA/lepidic patterns may indicate DNA repair activation. Inhibition of apoptosis could be explained by BCL2 overexpression, present in all adenocarcinoma patterns. MRP-1 and LRP were overexpressed in all patterns, which may have implications for drug resistance.

Further studies are needed to interpret these data regarding to therapy response in advanced staged bronchial-pulmonary carcinomas.

Lung, Adenocarcinoma, APC, BCL2, Cyclin D1, EGFR, ERCC1, HER2, LRP, MRP

Tobacco, environmental and genetic factors and several lung diseases contribute to lung cancer carcinogenesis. Lung cancer is one of the most common cancer diagnosed, and has also the highest mortality rate due to the advanced stages at time of diagnosis, and when the options for treatment have to be understood as personalized therapy.1, 2, 3, 4, 5, 6, 7, 8

Bronchial-pulmonary carcinomas consist of small cell lung cancer (SCLC), squamous cell carcinoma (SCC), adenocarcinoma, large cell carcinoma and sarcomatoid/pleomorphic carcinomas.8 Adenocarcinoma is the most common type in non-smokers and its incidence has increased in recent years, developing after terminal respiratory unit (TRU) but also recognized in respiratory epithelium.8, 9, 10 Adenocarcinoma pure patterns are recognized [acinar, papillary, micropapillary, BA (bronchioloalveolar/lepidic/AIS-adenocarcinoma in situ), solid with mucin production] but mixed type predominates. Differences between the subtype/patterns of adenocarcinoma should be taken into account to improve diagnosis, prognosis and as an enhancement in therapy selection.8, 10

Cytokeratin 7 (CK7), high weight molecular cytokeratins (HWMC) like CK5/6, CK20, chromogranin A and TTF1 are currently used in lung cancer diagnosis.11, 12 Ki67 is a cell proliferation marker with prognostic value.13, 14, 15 In the apoptosis pathway, p53 induces Bax transcription and reduces bcl2. Bcl2/Bax ratio is negative in lung carcinomas.16 Inactivation of RB pathway is considered a requirement for lung carcinogenesis.16 Adenomatous polyposis coli (APC) gene is involved in the canonical Wnt/β-catenin signal transduction. APC is mutated in liver, colorectal adenomas and lung tumors.17 Cyclins D (D1, D2, and D3) are activators of cyclin-dependent kinases cdk4 and cdk6, to translate growth signals into cell cycle progression, leading to proliferation.18, 19 Cyclin D1 overexpression and pRB inactivation indicates a poor prognosis.20

Bcl2 as an anti-apoptotic protein has a more important role in neuroendocrine (NE) lung cancer than in other bronchial-pulmonary carcinomas.21 Excision repair cross-complementing 1 (ERCC1) genetic polymorphisms may affect patient's response to platinum-based chemotherapy.22, 23 However, another study concluded that patients with a bronchial-pulmonary carcinoma with high ERCC1 expression have a better prognosis than those with low expression.24 Multidrug Resistance Protein 1 (MRP-1) and lung resistance-related protein (LRP) may confer resistance to cytotoxic and antiviral drugs.25, 26, 27, 28, 29, 30, 31

EGFR and HER2 play a central role in tumorigenesis.32, 33 Targeting those receptors provides a unique approach for treating EGFR/HER2 expressing cancers.34, 35 The most common alteration of HER2 is overexpression/amplification; mutations are less frequent.33, 35, 36 The activated receptors trigger Ras-Raf-MEK (mitogen-activated and extracellular signal regulated kinase), ERK1 and ERK2 (extracellular-signal regulated kinase 1 and 2) pathways leading to cell growth, mTOR (mammalian target of rapamycin) pathway leading to protein synthesis, and PI3K-AKT (phosphatidylnositol-2 kinase Akt) pathway sustaining cell survival.36

The objectives of this work were to validate a small differentiation IHC panel, evaluate protein expression of different genes according to different adenocarcinoma patterns, and correlate this expression with cell pathways of progression and drug resistance, in order to understand bronchial-pulmonary adenocarcinoma carcinogenesis. Another objective was to verify possible differences of gene expression in adenocarcinoma taking into account variables such as gender, age, smoking and different tumor stages. The global intention of this project is to acquire knowledge which can be applied in the diagnosis and prognosis evaluation of bronchial-pulmonary adenocarcinoma and its subtypes in order to define individual treatment.

Materials and methodsMaterials

Surgical samples of bronchial-pulmonary adenocarcinomas (n = 45) covering all subtypes recognized by WHO/2004 were randomly selected and staged by the 2010 TNM system; the ERS/ATS proposal was also applied. At least two sections of each tumor and sections of lymph node metastasis were selected (Table 1).12, 37

Table 1. Gender (M – male; F – female), age, smoking status, TNM classification, stage and patterns present (A – acinar; B – BA/lepidic; C – papillary; D – micropapillary and E – solid).

1M73Non-smokerpT1aN0MxIAA; B
2F71Non-smokerpT1aN0MxIAA; B
3M69SmokerpT4N0MxIIIAA; B; C
4M75Non-smokerpT1aN2MxIIIAA; E
5F53Non-smokerpT1aN0MxIAA; B
6M76Ex-smokerpT2bN0MxIIAA; B; E
7F62Ex-smokerpT1aN2MxIIIAA; B; E
8F74Non-smokerpT1aN0MxIAA; B; E
9F68Non-smokerpT2aN0MxIBA; D; E
10F50Non-smokerpT1bN2MxIIIAA; E
11F57SmokerpT2aN0MxIBA; E
12M51Non-smokerpT1aN1MxIIAA; B
13F75Non-smokerpT2aN0MxIBA; D; E
14M85Ex-smokerpT1aN0MxIAA; B
15F63SmokerpT2aN0MxIBA; B; D
16F55SmokerpT1aN0MxIAA; E
17F67SmokerpT1aN0MxIAA; B; D
18M48SmokerpT1aN0MxIAA; B; E
19M71Non-smokerpT2aN1MxIIAA; D
21F80Non-smokerpT1bN0MxIAA; D
22F68Non-smokerpT2aN1MxIIAA; D
23M48Non-smokerpT2bN0MxIIAA; B
25M76Ex-smokerpT1bN0MxIAA; B
26F56Non-smokerpT1aN0MxIAA; B; C; D
27M64SmokerpT2bN0MxIIAA; C
28F71Non-smokerpT2aN0MxIBA; B; E
29F50SmokerpT2aN0MxIBB; E
31M56SmokerpT1aN0MxIAA; B
32F56Non-smokerpT1aN0MxIAA; B
34M67SmokerpT2aN1MxIIAA; E
35F62Non-smokerpT1bN1MxIIAA; C; D
36F68Non-smokerpT1bN0MxIAA; B
37F44Non-smokerpT2bN2MxIIIAA; E
38F52SmokerpT3N1MxIIIAA; B; D
39M45SmokerpT2aN1MxIIAA; C
41F74Non-smokerpT2aN0MxIBA; D
42F74Non-smokerpT2aN0MxIBA; B
43M73Non-smokerpT2aN1MxIIAA; B
44F60Non-smokerpT1bN0MxIAA; B; D
45F79Non-smokerpT2aN0MxIBA; B; D

CK7, TTF1, CK20, CK 5/6/18 (LP34), chromogranin A, Ki67, P53, RB, BCL2, cyclin D1, APC, ERCC1, LRP, MRP-1, EGFR, and HER2 expressions were evaluated by immunohistochemistry (IHC). IHC was performed on formalin-fixed, paraffin-embedded tissue samples in automatic immunostainer (Autostainer 360 – LabVision®). Streptavidin biotin protocol was applied according to the manufactures indications for each antibody. Three-micrometer tissue sections were placed on coated slides and allowed to dry overnight. After deparaffinization and rehydration, antigen retrieval was performed according to Table 2. Endogenous peroxidase activity was quenched using 15 min incubation in 3% diluted hydrogen peroxide (H2O2). For blocking non-specific binding, Ultra V Block (Ultra Vision Kit®; TP-015-HL) was applied to the sections and then they were incubated at room temperature, with primary antibodies according to Table 2. After washing with phosphate-buffered saline (PBS), slides were incubated with biotin-labeled secondary antibody (LabVision®) for 15 min. Primary antibody binding was localized in tissues using peroxidase-conjugated streptavidin (LabVision®) and 3,3-diaminobenzidine tetrahydrochloride (DAB) was used as the chromogen, according to manufacturer's instructions. The slides were counterstained with hematoxylin, dehydrated and mounted. In parallel, known positive (Table 2) and negative controls were used.

Table 2. Antibodies applied antigen retrieval, dilution and incubation time and staining patterns. RT – room temperature.

Primary antibodyManufactureClonePositive controlAntigen retrievalDilution and incubation timeStaining pattern
APCNovocastraEMM43ColonPT module, EDTA1:40, 60′Membrane and cytoplasmic
Bcl2Novocastra3.1TonsilPT module, EDTA1:150, 60′Membrane and cytoplasmic
Chromogranin ADAKODAK-A3Carcinoid tumorPT module, citrate1:200, 30′Cytoplasmic
CK (5/6/18)NovocastraLP34LungPronase E (10′, RT)1:100, 60′Cytoplasmic
CK20DAKOKS20.8ColonPronase E (10′, RT)1:50, 30′Cytoplasmic
CK7DAKOKS20.8LungPronase E (10′, RT)1:50, 30′Cytoplasmic
Cyclin D1NovocastraP2D11F11Breast carcinomaPT module, EDTA1:30, 60′Nuclear
EGFRZymed31G7Respiratory epitheliaPronase E (10′, RT)1:20, 30′Membrane and cytoplasmic
ERCC1Thermo8F1TonsilPT module, EDTA1:100, 60′Nuclear
HER2DAKOPolyclonalBreast carcinomaPT module, citrate1:200, 30′Membrane
Ki67DAKOMIB-1Small cell carcinomaPT module, citrate1:50, 30′Nuclear except mitotic cells
LRPNovocastra9D6IleonPT module, EDTA1:300, 30′Cytoplasmic
MRP-1Novocastra33A6ColonPT module, citrate1:50, 60′Cytoplasmic
P53DAKODO-7SkinPT module, citrate1:50, 30′Nuclear and cytoplasmic
RBNovocastra13A10TonsilPT module, EDTA1:50, 60′Nuclear
TTF1DAKO8G7G3/1Small cell carcinomaPT module, EDTA1:100, 60′Nuclear

Three-micrometer tissue sections were placed on coated slides and allowed to dry overnight. IHC scoring was applied independently by two pathologists who registered the intensity of expression (1 – low expression, 2 – intermediate expression and 3 – high expression) and percentage of stained cells. For statistical analyses we grouped the immunohistochemistry results in 4 categories. For each case we multiplied the intensity of expression by the percentage of staining cells and we used this score for the formation of each category (category (−) 0–10; (+) 11–100; (++) 101–200; (+++) 201–300) (Table 3)

Table 3. TTF1, KI67, P53, RB, APC, BCL2, Ciclin D1, ERCC1, MRP1, LRP, HER2 and EGFR expression according to adenocarcinoma pattern. A – acinar; B – BA/lepidic; C – papillary; D – micropapillary and E – solid patterns. Expression categories: 0 = (−) = 0–10%; 1 = (+) = 11–100%; 2 = (++) = 101–200%; 3 = (+++) = 201–300%.

The non-parametric Wilcoxon-Mann–Whitney test was used to analyze the differences between categories. Hierarchical clustering and Principal Component Analysis (PCA) was made to validate relationships between patterns. We used the software STASTISTICA 7. P values less than 0.05 were considered significant.


Predominantly mixed-type adenocarcinomas,40 three acinar adenocarcinomas, one solid mucin producing adenocarcinoma and one bronchioloalveolar (BA)/lepidic mucinous adenocarcinoma/mucinous adenocarcinoma in situ were studied to validate the different patterns. Forty-two cases (93.3%) with acinar pattern (being the most prevalent), 26 (57.8%) with BA/lepidic pattern, 15 (33.3%) with solid pattern, 5 (11.1%) with papillary and 15 (33.3%) with micropapillary pattern were registered.

Thirteen cases (28.9%) showed lymph node metastasis as follows: acinar pattern was present in 13 cases (100%); solid and micropapillary patterns were present in 3 cases each (23%); and papillary pattern in 2 cases (15.4%). Two metastasis with solid pattern belonged to primary adenocarcinomas which harbored, respectively, acinar and BA/lepidic and acinar, BA/lepidic and micropapillary patterns.

Seventeen cases (37.8%) were diagnosed in men and twenty-eight cases (62.2%) in women. Age at diagnosis ranged from 44 to 85 years with a median of 67 years. Fourteen cases (31.1%) were diagnosed in smokers (8 males and 6 females), four (8.9%) in ex-smokers (3 males and 1 female) and twenty-seven (60%) in never smokers (6 males and 21 females). Female patients were more frequently non-smokers than men (p = 0.0251).

Seventeen cases (37.8%) were diagnosed as stage IA (5 males/12 females), twelve (26.7%) as IB (2 males/10 females), ten (22.2%) as IIA (8 males/2 females) and six (13.3%) as stage IIIA (2 males/4 females). Females were diagnosed more frequently in lower stages when compared to men (p = 0.029). There were no differences between stages according to smoking habits.

All adenocarcinomas (n = 45) expressed CK7. No expression was observed for CK20, HWMC or chromogranin A. TTF1 was expressed in the great majority of lung adenocarcinomas, with statistical significant higher expression in acinar pattern (p = 0.0094), micropapillary pattern (p = 0.012) and BA/lepidic patterns (p = 0.00046). The expression was significantly higher in BA/lepidic pattern when compared to solid pattern (p = 0.021).

Nuclear expression of P53 was statistically higher in all patterns when compared to normal tissue (p < 0.05), without differences between patterns.

RB expression was higher in micropapillary pattern when compared to normal tissue (p = 0.011). The other patterns showed no differences from basal expression in normal tissue.

There were no significant differences between primary adenocarcinomas and their metastasis, except for cyclin D1 whose expression was higher in the metastasis when compared to the primary neoplasia (p = 0.0409).

APC expression was higher in all patterns when compared to normal tissues (p < 0.05), with no differences between patterns.

BCL2 expression was higher in all patterns studied than normal adjacent tissue (p < 0.05), without differences between patterns.

Cyclin D1 expression differed between normal tissue and solid (p = 0.0002) and BA/lepidic (p = 0.002) patterns, being higher in these patterns than in the normal tissue.

EGFR protein expression was higher in acinar (p = 0.033) and solid (p = 0.012) patterns when compared to normal tissues, concerning membrane expression only. If we take into account cytoplasmic expression the overall expression was significantly higher in all patterns without differences between them.

For HER2 we observed significantly higher expression in all patterns compared to normal tissue (p < 0.05). Expression is also higher in acinar, papillary, micropapillary and BA/lepidic patterns compared to solid pattern (p < 0.05).

ERCC1 expression was lower in acinar (p = 0.0016) and papillary (p = 0.019) patterns compared to normal tissue. Expression in the other patterns revealed no differences to basal expression in normal tissue. Papillary pattern has significant less expression than solid (p < 0.05) and BA/lepidic patterns (p < 0.05).

Ki67 expression was higher in all adenocarcinoma patterns when compared to normal lung tissue (p < 0.05). There were no differences between the patterns.

LRP expression was different (higher) between normal and the different patterns of the adenocarcinomas (p < 0.05).

MRP-1 expression was higher in all patterns compared to normal lung tissue, without differences between patterns (p < 0.05).

Some immunohistochemical results are illustrated in Figure 1.

(a) expression (++) of apc in ba pattern, 200×; (b) expression (+++) of bcl2 in papillary pattern, 200×; (c) ba pattern with <i>cyclin d1</i> expression, 400×; (d) <i>cyclin d1</i> expression in solid pattern, 200×; (e) <i>egfr e</i>xpression (+++) in acinar pattern, 200×; (f) <i>egfr</i> expression (+++) in solid pattern, 200×; (g) <i>ercc1</i> expression (++) in ba pattern, 200×; (h) <i>ercc1</i> expression (++) in solid pattern, 200×; (i) <i>her2</i> expression (++) in acinar pattern, 400×; (j) <i>ki67</i> expression (+++) in lymph node metastasis, 200×; (l) <i>ki67</i> expression (+++) in acinar pattern, 400×; (m) <i>lrp</i> expression (+++) in acinar pattern, 400×; (n) <i>mrp-1</i> expression (+++) in solid pattern, 200x; (o) <i>rb</i> expression (++) in papillary pattern, 200×; and (p) <i>p53</i> expression (+++) in micropapillary pattern, 200×.

Figure 1. (A) Expression (++) of APC in BA pattern, 200×; (B) Expression (+++) of BCL2 in papillary pattern, 200×; (C) BA pattern with Cyclin D1 expression, 400×; (D) Cyclin D1 expression in solid pattern, 200×; (E) EGFR expression (+++) in acinar pattern, 200×; (F) EGFR expression (+++) in solid pattern, 200×; (G) ERCC1 expression (++) in BA pattern, 200×; (H) ERCC1 expression (++) in solid pattern, 200×; (I) HER2 expression (++) in acinar pattern, 400×; (J) Ki67 expression (+++) in lymph node metastasis, 200×; (L) Ki67 expression (+++) in acinar pattern, 400×; (M) LRP expression (+++) in acinar pattern, 400×; (N) MRP-1 expression (+++) in solid pattern, 200x; (O) RB expression (++) in papillary pattern, 200×; and (P) P53 expression (+++) in micropapillary pattern, 200×.

The analysis of the dendrogram clearly showed that adenocarcinoma is genetically different from normal tissue (Figure 2). Concerning the patterns, BA/lepidic and acinar are the more similar and papillary the most distinct or genetically separated pattern. By PCA analysis (Figure 3) we were able to identify three clusters: the first composed of papillary pattern adenocarcinomas; the second corresponding to solid; and the third to the group of acinar, BA/lepidic and micropapillary patterns.

dendrogram for the hierarchical clustering analysis of transcripts according to their expression values, using single linkage algorithm, euclidean distances, targeting the various patterns and normal tissue.

Figure 2. Dendrogram for the hierarchical clustering analysis of transcripts according to their expression values, using Single linkage algorithm, Euclidean distances, targeting the various patterns and normal tissue.

the correlation of the patterns with the advanced pca factor analysis.

Figure 3. The correlation of the patterns with the advanced PCA factor analysis.

Looking at gender, we have identified higher expression of ERCC1 in female patients when compared to males (p = 0.0008). We did not find any differences according to age. HER2 expression was higher in adenocarcinomas of non-smokers or ex-smokers (p = 0.0384). Ki67 expression was higher in adenocarcinomas of smokers and ex-smoker patients (p = 0.0034 and p = 0.0064).

TTF1, Ki67, APC, RB, P53, BCL2, ERCC1 and EGFR showed significantly different expressions according to the stage of the tumor. TTF1 expression showed differences between stage IA and IIIA, being higher in stage IA (p = 0.02). Ki67 was higher in IIIA compared to IA and IIA (p = 0.02 and p = 0.02). APC expression was higher in IIA and IIIA compared to IA (p = 0.065 and p = 0.025). RB expression was higher in stage IB tumors compared to stage IA (p = 0.04). P53 expression was higher in IIA, IB and IIIA compared to IA (p = 0.01; p = 0.03; p = 0.01). BCL2 expression was higher for IB compared to IA (p = 0.039). ERCC1 was higher in stage IA compared to IIA (p = 0.02) and in IIIA compared to IIA (p = 0.01). EGFR expression was lower in stage IB compared to IA (p = 0.032).

To sum up, almost all patterns showed differences of expression in relation to normal tissues with some exceptions for cyclin D1 (papillary and micropapillary patterns), for EGFR membrane staining (papillary and micropapillary patterns), for ERCC1 (in micropapillary, solid and BA/lepidic patterns), for RB (in acinar, papillary and solid patterns) and for TTF1 (in papillary and solid patterns).

Solid pattern demonstrated lower HER2 expression compared to acinar, papillary, micropapillary and BA/lepidic patterns. Papillary pattern had lower ERCC1 expression than solid and BA/lepidic patterns. Solid pattern showed lower TTF1 expression than BA/lepidic pattern.


Non-BA/lepidic adenocarcinomas are most often peripheral tumors with different growth patterns considered mixed type according to WHO classification, with at least two individual patterns; solid or acinar patterns are the most frequent in the central tumoral bulk and BA/lepidic at the periphery. Acinar has been described as the most common pure subtype and the most common in the mixed type. Papillary pattern was present in 10% of the adenocarcinomas, often difficult to differentiate from BA/lepidic, which has important therapeutic strategies’ implications.9 Micropapillary pattern is characterized by small papillary tufts growing from alveolar septa or floating within alveolar spaces lacking fibrovascular cores and is usually observed with papillary and mixed patterns; they are more aggressive due to their increased capacity for metastasize, indicating unfavorable prognosis.9 Solid pattern with mucin production has been reported in 15% of mixed-type adenocarcinomas.9, 10 BA/lepidic pattern shows tumor cell growth along alveolar septa and aerogeneous spread through the lung. It is frequently diagnosed in former and non-smoking women. BA/lepidic is classified as non-mucinous, mucinous or mixed.9, 10, 38

Markers of differentiation

CK20, HWMC and chromogranin A were negative in all our samples and CK7 and TTF1 were positive, which means morphology almost always sustains bronchial-pulmonary adenocarcinomas’ diagnosis when mucin is not present. These results corroborated those that have been described in the literature. CK7 is positive in 90–100% and CK20 is positive in only 7–10% of primary lung adenocarcinomas.39 Chromogranin A is not expressed in an ordinary adenocarcinoma.40 TTF1 is a useful marker for lung adenocarcinoma and is also expressed in thyroid normal tissue and tumors.22 The use of TTF1, as a differentiation marker, is useful not only for diagnostic purpose but especially to differentiate between different histological types of bronchial and TRU adenocarcinomas.

Genetic expression in each pattern of bronchial-pulmonary adenocarcinomaAcinar pattern

Starting with membrane proteins that play a central role in the control of cellular proliferation, differentiation, apoptosis and angiogenesis, EGFR and HER2 had a higher expression in acinar pattern than in normal epithelium/lung cells, highlighting the importance of AKT/mTOR, PI3K and MAPK pathways, essential for oncogenic transformation and tumor maintenance.41 Blockage of both results in apoptosis and tumor shrinkage.42, 43 AKT, by inhibiting GSK-3, changes canonical Wnt pathway, releasing β-catenin, and leading to angiogenesis and proliferation.44

TTF1 positivity was statistically higher in the adenocarcinomas (with acinar pattern) compared to normal tissue. While the majority of the adenocarcinomas expresses TTF1, this marker is misunderstood, because its positivity is associated inversely with proliferation but it is correlated with P53 expression and HER2/neu involved in lung cancer.45 TTF1, NKX2-8 and PAX9 are very important in initiation and progression of lung cancer. It is said that MAPKinase, JAK/STAT and Wnt are important in activation of TTF1 and NKX8, connected with EGFR and Her2.46

The expression of cyclin D1 was higher in tumoral than in normal tissue and RB expression had no statistical difference when compared to normal tissue. This fact may indicate a tendency to proliferate, because once cyclin D1 is in high concentration, it could phosphorylate more RB protein and release E2F, involved in the regulation of genes with implications in cell cycle progression (G1 to S phase).43, 47 One of the genes that correlate with E2F is Ki67, still a good marker for proliferative index.48 We obtained statistical significant higher expression of Ki67 in all patterns of adenocarcinoma, indicating active proliferative activity.49 Another overexpressed gene in this pattern was P53 and some studies indicate that “a low level of p53 leads to transient growth arrest and cell survival, whereas a high level promotes irreversible apoptosis”, and P53 levels may have oscillations, and it has to be explored as a target for therapy.50 ERCC1 is downregulated in acinar pattern, may be indicating that DNA repair pathway is not activated in the acinar pattern. ERCC1 is associated with radio resistance, so it is important for treatment choice.51 High BCL2 expression may favor cell cycle arrest.

LRP and MRP1 were also overexpressed in our samples, as has been described in lung cancer.52, 53 As mentioned these genes can lead to chemotherapy resistance. This fact should be taken into consideration when assessing prognosis and treatment issues.

APC was also overexpressed in the acinar pattern, and being involved in β-catenin degradation is important in progression, with GSK-3 and Axin downregulating β-catenin (leading to β-catenin degradation).54 Our findings also suggest that β-catenin may be downregulated, already described in lung cancer, which is related to cell invasion and metastasis.55 β-Catenin is connected to cytoskeleton and cadherins and regulates E- or N-cadherin-mediated cell adhesion. Notch activation (that inactivates β-catenin) may repress E-cadherin, leading to tumor growth and metastasis.56 So, overexpression of APC leads to β-catenin degradation that weakens cell adhesion promoting tumor growth and metastasis.

In relation to the acinar pattern the genes analyzed expressions could lead to cell proliferation and survival, angiogenesis and metastasis.

Papillary pattern

This pattern showed some differences compared to acinar pattern. There were no differences of expression for cyclin D1 and TTF1, compared with normal tissue. Since cyclin D1 level is not upregulated as well as RB gene, the concentration of active E2F must be regular. However Ki67 was overexpressed, in contrast to previous findings.21 So other pathways could explain cellular proliferation. There was higher expression of EGFR but just in cytosol compartment; membrane EGFR had the same level of expression as normal tissue, so we can conclude that activity of EGFR is normal. Thus, all pathways that this gene regulates are functioning normally or if activated, this activation is not induced by EGFR.41, 57, 58

Papillary pattern proliferation properties could in part be explained by APC upregulation when compared to normal tissue.

Micropapillary pattern

Micropapillary pattern is characterized by small papillary tufts and is considered an aggressive adenocarcinoma, more than papillary pattern.59, 60, 61 There were three differences with papillary patterns concerning expression of ERCC1, RB and TTF1. RB expression was downregulated in micropapillary, being almost non-existent. Some authors said that downregulation of RB leads to the progression of cell cycle.62 Micropapillary pattern had a basal level of ERCC1, this indicating that DNA repair may occur with NER activation. TTF1 was overexpressed in this pattern and, according with what has been said before, this fact indicates lung cancer progression and development after the terminal respiratory unit. These considerations are consistent with our results because downregulation of RB and TTF1 overexpression are responsible for cell cycle progression and basal level of ERCC1 allows DNA repair. This last consideration is very important to keep in mind in treating lung cancer.

Solid pattern

Genetic expression in this pattern is identical to acinar pattern with only two differences for ERCC1 and TTF1 expressions. These showed no differences compared to normal tissue in solid pattern, whereas in acinar pattern there was a higher expression for TTF1 and downregulation for ERCC1. A lower TTF1 expression reflects a lower differentiation of this pattern and eventually means a more aggressive behavior since in general less differentiated tumors are more aggressive. Higher EGFR expression could be the reflex of EGFR mutations and/or overexpression activating several pathways involved in cell cycle control, proliferation and even metastization. EGFR overexpression is also associated with poor prognosis.33, 63 Solid pattern has more ERCC1 expression than acinar and this aspect is very important because ERCC1 repairs DNA and confers resistance to some drugs.51

BA/lepidic pattern

BA pattern, called lepidic in ATS/ERS proposed classification can be difficult to distinguish morphologically from papillary pattern.12 Cyclin D1 had higher expression in BA/lepidic pattern and a basal level in papillary pattern. This fact and knowing that RB was not overexpressed, enhances the idea that this pathway leads to cell progression. As TTF1 is related with tumor progression and is overexpressed, unlike in papillary pattern, and ERCC1 has a basal level in BA/lepidic pattern and is downregulated in papillary pattern, this may explain chemical resistance.

By evaluating the expression of these 13 genes, BA/lepidic pattern has more cell progression pathways activated than papillary pattern. This finding proves that they are biologically different. The differences could be explained by the origin in TRU with the different activated pathways, with probable implication in the prognosis and treatment, knowing that different pathways are targets for therapeutic approach.

Metastasis analysis

Metastasis formation is a complex process with several pathways activated leading to loss of cellular adhesion, increased motility and invasiveness.55 Acinar pattern metastasis had cyclin D1 over-expression, statistically different between primary and metastatic tumor. This gene is involved in cell progression that might be helping cell survival in circulation and colonization.55

Gender, age, smoking and tumor staging

ERCC1 expression was higher in females, correlating in some studies to a better prognosis.64 However ERCC1 may confer resistance to cisplatin.65

Lung adenocarcinoma is more frequently diagnosed in patients over 60 years and it is infrequent before age 40 and generally more aggressive.66 All our samples were taken from patients older than the age of 40. There were no difference in the expression of the markers studied between the group under and over 60 years.

Concerning smoking history, HER2 expression was higher in non-smokers than in ex-smokers. Ki67 expression was higher in tumors of smokers and ex-smoker patients than in non-smokers, indicating a higher proliferative rate and more aggressive/mitotically active tumors.

Women diagnosed with adenocarcinoma were more frequently non-smokers, reflecting the cultural tobacco habits and some of those adenocarcinomas belonging to the group of adenocarcinomas diagnosed in women, non-smokers and young that could harbor EGFR mutations.67 Adenocarcinomas diagnosed in women patients were more frequently diagnosed at stages IA and IB reflecting somehow a less aggressive behavior demonstrated also by a lower proliferative index in these stages. Tobacco habits could also explain the activation of different pathways and genetic alterations in these cases. Our results also demonstrated a relation between higher Ki67 expression and smoking habits.

Many gene products have their expression altered when correlating with stage, such as APC, BCL2, EGFR, ERCC1, Ki67, P53, RB and TTF1, showing that gene expression is a dynamic and unforeseen process. From stage IA to IB we observed lower Bcl2 and EGFR expressions and RB higher expression. From stage IB to IIA we observed higher Bcl2 and lower ERCC1 expressions. IIIA stage showed higher ERCC1 and Ki67 expressions. From IA and IB to IIA we observed also higher APC and Bcl2 expressions. In advanced stages we observed especially higher Ki67, APC and ERCC1 expressions and lower TTF1 expression, the last reflecting a lower differentiation and even a non-TRU adenocarcinoma with a more aggressive behavior. Ki67 higher expression in higher stages was an expected result as it reflects higher proliferation index and thus aggressive behavior. APC mutations were described in several tumors.17 Taking into account our results, it seems that APC genetic and pathways changes are important to consider in advanced stages of adenocarcinomas.

One of the most important molecule in this study was P53 because it was higher expressed in all patterns and is involved in several pathways and mechanisms in normal cell cycle, carcinogenesis and DNA repair with obvious therapeutic implications. Some authors relate P53 with MRP1, because their parallel increase is frequent. It was demonstrated that P53 wild-type suppressed MRP1 promoter. These hypotheses are corroborated by our data, because we always obtained high expression of MRP1 and P53. According to these authors P53 was mutated in all patterns.68

RB expression was lower in micropapillary pattern, which also explained a more aggressive phenotype because free E2F activates transcription of genes related with tumor progression.

TTF1 was connected with P53 and HER2 in lung cancer and some authors relate this protein with initiation and progression in lung carcinogenesis.19, 23 The relation between TTF1 and HER2 was observed between solid and BA/lepidic patterns, because both gene expression was higher in BA/lepidic pattern than in solid.


Female adenocarcinoma patients were more frequently non-smokers and diagnosed in earlier stages, with higher ERCC1 expression involved in DNA repair.

Advanced stages (IIA and IIIA) of adenocarcinomas showed higher Ki67, APC, ERCC1 expressions and lower TTF1 expression reflecting a more aggressive, mitotically active and less differentiated adenocarcinoma and eventually a non-TRU adenocarcinoma.

There was generally higher expression of the products of genes studied in the adenocarcinomas compared to normal adjacent cells reinforcing their importance in lung adenocarcinoma carcinogenesis.

There were two specific gene expressions with differences between patterns, HER2 and TTF1 that interfere with gene transcription. Papillary and solid patterns revealed less TTF1 expression, identical to normal tissue exhibiting a non-TRU/bronchial phenotype. At the other end acinar, BA/lepidic and micropapillary showed higher TTF1 expression. Solid pattern revealed also lower HER2 and higher EGFR and ERCC1 (this compared to papillary) expression. Papillary showed higher HER2 and lower ERCC1 expressions. Adenocarcinomas showed higher TTF1 expression (type TRU) in acinar, BA/lepidic and micropapillary patterns, micropapillary with higher RB expression, acinar with lower ERCC1 and higher EGFR. Ciclin D1 seems to have more importance in acinar and BA/lepidic patterns than in micropapillary.

ERCC1 protein expression in micropapillary, solid and BA/lepidic patterns indicates DNA repair and in acinar and papillary patterns there was lower expression. BCL2 was overexpressed in all patterns, suggesting that there is inhibition of apoptosis. MRP-1and LRP were overexpressed in all patterns and it is important to further analyze these proteins for a better understanding of the response to therapy.

By hierarchical clustering test we highlight papillary pattern as the most different pattern followed by solid pattern; acinar and BA/lepidic patterns are most alike. Using PCA analysis we realized that acinar, micropapillary and BA/lepidic patterns are the most alike, so we made three clusters of patterns: papillary, solid and micropapillary/acinar/lepidic (BA).

Furthers studies are needed in order to interpret these results regarding therapeutic response in advanced staged bronchial-pulmonary carcinomas.

Ethical disclosuresProtection of human and animal subjects

The authors declare that no experiments were performed on humans or animals for this study.

Confidentiality of data

The authors declare that they have followed the protocols of their work center on the publication of patient data.

Right to privacy and informed consent

The authors declare that no patient data appear in this article.


Funded by a grant from CIMAGO, Faculty of Medicine, University of Coimbra, Portugal.

Conflicts of interest

The authors declare that they have no conflicts of interest.

Received 30 October 2013

Accepted 30 May 2014

Corresponding author.

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