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American Journal of Cancer Research logoLink to American Journal of Cancer Research
. 2019 Jun 1;9(6):1212–1223.

Histology and oncogenic driver alterations of lung adenocarcinoma in Chinese

Guoguo Shang 1,2,3,*, Yan Jin 1,2,*, Qiang Zheng 1,2, Xuxia Shen 1,2, Mu Yang 4, Yuan Li 1,2, Lanjing Zhang 5,6,7,8
PMCID: PMC6610061  PMID: 31285953

Abstract

Little is known about association of mucin abundancy with oncogenic-driver alterations, immunohistochemical and clinicopathologic features in lung adenocarcinomas among Chinese. We here retrospectively examined the clinicopathologic and molecular characteristics of pulmonary mucin-producing adenocarcinoma (PMPA) and previously-reported non-mucinous lung adenocarcinomas collected at our institution. Among the 897 non-mucinous adenocarcinomas, 61 PMPA with ≤90% mucin and 39 PMPA with >90% mucin, ALK rearrangements were found in 47 (5.2%) non-mucinous adenocarcinomas, 9 (14.8%) PMPA with ≤90% mucin and 12 (30.8%) PMPA with >90% mucin, respectively, with an ordinal association (coefficient, 95% CI=0.11, 0.06 to 0.17). Similarly, KRAS mutations was found in 53 (5.9%) non-mucinous adenocarcinomas, 7 (11.5%) PMPA with ≤90% mucin and 14 (35.9%) PMPA with >90% mucin (coefficient, 95% CI=0.11, 0.05 to 0.16). However, mucinous abundancy was inversely, ordinally linked to the EGFR mutations (coefficient, 95% CI=-0.28, -0.33 to -0.22). Mucin abundancy seemed not associated with the alterations of HER2, BRAF, ROS1, MET and RET. We divided PMPA with >90% mucin into three histologic types, namely columnar mucinous cell with basal nuclei (type I, n=11), cuboidal cell with goblet cell feature (type II, n=16) and mucinous cribriform pattern (type III, n=12). These histologic subtypes were associated with alterations of ALK, KRAS and MET, and the immunohistochemical reactivity of MUC1, MUC2, MUC5ac, MUC6, TTF-1 and CK20, including high positive rate of MUC6 (90.9%) and CK20 (36.4%) in type I, MUC2 (50%) in type II and MUC1 (100%) in type III. In summary, mucin abundancy is associated with immunohistochemical and oncogenic-driver profiles of lung adenocarcinomas among Chinese.

Keywords: Lung cancer, pathology, survival, oncogenic driver, adenocarcinoma

Introduction

Invasive mucinous adenocarcinoma of the lung has been introduced as a new category in the 2015 World Health Organization (WHO) classification of lung tumors, because of its distinct clinical, radiological, pathological, and genetic characteristics [1,2]. Near 10.4% of lung adenocarcinomas in Asians are mucinous adenocarcinoma [3]. Histologically, its tumor cells show characteristic goblet-cell and/or columnar cell morphology with abundant intracytoplasmic mucin and small basally oriented nuclei. Surrounding alveolar spaces are often filled with extracellular mucin. According to the 2015 WHO classification [1], the pulmonary adenocarcinomas, that produce extracellular mucin but lack the characteristic morphology of goblet cells or columnar cells, must be distinguished from invasive mucinous adenocarcinoma. Therefore, proper classification of pulmonary mucin-producing adenocarcinomas (PMPA) is complicated, and has been described as “difficult and somewhat arbitrary” and “controversial” by the WHO classification [1].

PMPA show various cytological and histological features. The cytological spectrum of PMPA is broad, including intracytoplasmic mucin within the different types of tumor cells (e.g. goblet cells, columnar cells, cuboidal cells and signet ring cells) and extracellular mucin. It also exhibits several histological patterns, including lepidic, acinar, papillary, micropapillary, solid, and mucinous cribriform patterns [1,4], Signet-ring cell features are regarded as cytological features rather than primary histological subtypes. They occur most commonly in the solid component of lung adenocarcinomas, but also seen in other patterns. It is noteworthy that PMPA with >90% invasive mucin (>90% invasive mucinous pattern) was termed as pure mucinous, while PMPA with 10-90% invasive mucinous pattern termed as mixed mucinous/nonmucinous pattern [2,4]. Several studies have investigated the oncogenic-driver alterations, immunohistochemical characteristics and clinicopathologic features of PMPA [2,4-6]. However, the molecular and immunohistochemical characteristics of PMPA by mucin percentage are poorly understood.

Studies have shown that KRAS mutation was the most frequent genetic alteration seen in invasive mucinous adenocarcinomas (40-76%), while EGFR mutations are relatively uncommon in these cases [4,7-11]. ALK rearrangements are common (8-40%) in PMPA with signet-ring cell features [4,10,12]. However, the association of histology with the alterations of other oncogenic drivers is still unclear in PMPA.

Therefore, we retrospectively characterized the clinicopathological, oncogenic-driver and immunohistochemical profiles of lung adenocarcinomas by their mucin abunancy, which were reclassified according to the 2015 WHO classification of lung adenocarcinomas [1,2]. We also analyzed histologic, immunohistochemical and oncogenic-driver patterns of the proposed 3 histological subtypes of PMPA with >90% extracellular mucin.

Materials and methods

Patients

We consecutively collected the PMPA resected at Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China from November 2010 to May 2013. The study has been approved by the Ethical Review Committee of the Fudan University Shanghai Cancer Center. The inclusion criteria for this study were: (1) patients underwent curative resection (lobectomy resection) with mediastinal lymph node dissection; (2) diagnosis of pulmonary adenocarcinoma with an extracellular mucinous component (at least 10%); (3) No concurrent inflammatory/infectious lung diseases or multiple tumors. We also extracted and computed the data of non-mucinous adenocarcinomas from a prior study of ours [13].

Histologic analysis

All available hematoxylin and eosin (H&E)-stained slides with tumor tissue were independently reviewed by three thoracic pathologists (GGS, YL, and QZ). Tumors were re-classified using the terminology and criteria of the 2015 IASLC/ATS/ERS classification of lung adenocarcinoma [1,14]. The predominant and minor histological patterns as well as cell-types were recorded, including any identifiable histological types. Presence of mucin production was assessed using diastase-resistant PAS staining in all samples with a 5% increment. A tumor was considered as “mucin producing” if there was more than 10% extracellular mucin in any histological pattern of tumor (lepidic, papillary, acinar, micropapillary, or solid). It is worth mentioning that some special histological features were recorded such as STAS, cribriform and psammoma body. Colloid adenocarcinomas were excluded based on their unique histologic feature of abundant extracellular mucin pools, that distend and replace alveolar spaces [15]. In addition, imaging studies of all included patients had excluded the metastasis and other site of origin such as colonic or pancreatic adenocarcinoma.

The immunohistochemistry was carried out on formalin-fixed, paraffin-embedded tissue blocks according to the manufacturers’ instructions. The staining was performed using the Ventana autostainer and its reagents. Thyroid transcription factor-1 (TTF-1, 1:200, Dako, Copenhagen, Denmark), MUC1 (1:200, Novocastra, Newcastle upon Tyne, UK), MUC2 (1:250, Novocastra, Newcastle upon Tyne, UK), MUC5AC (1:500, Novocastra, Newcastle upon Tyne, UK), MUC6 (1:200, Novocastra, Newcastle upon Tyne, UK) and CK20 (cytokeratin 20, 1:50, Dako, Copenhagen, Denmark) were used as primary antibodies. All immunohistochemical markers were assessed using light microscopy. The immunohistochemical staining intensity was graded as follows: Negative for absent or focal perceptible staining in the membrane, nuclei and cytoplasm in <10%, and Positive for perceptible staining for membranous, nuclei and cytoplasmic staining in >10% of the tumor cells.

Analysis of the oncogenic drivers

The frozen tumor specimens were lysed into TRIzol (Invitrogen, Carlsbad, CA). The genomic DNA or RNA was extracted as per standard protocols (RNeasy Mini Kit, and QiAamp DNA Mini Kit, Qiagen, Hilden, Germany). Total RNA samples were reverse transcribed into single-stranded cDNA using Revert Aid First Strand cDNA Synthesis Kit (Fermentas, St Leon-Rot, Germany). As previously reported, the mutational status of EGFR (exons 18-21), HER2 (exon 20), KRAS (exons 2-3) and BRAF (exons 11-15) was determined using polymerase chain reaction (PCR)-based direct sequencing and verified by DNA sequencing analysis [16-18]. The mutation of MET (exon 13 to 21) was amplified using PCR with cDNA for direct sequencing, and the exon 14 deletion was verified by sequencing of the PCR product of MET exon 13 to 15 [19]. A combination of quantitative real-time PCR (qRT-PCR) and reverse transcriptase PCR (RT-PCR) was used to detect ALK, FGFR1/3, ROS1, and RET fusions. The primers were designed to amplify all known fusion variants with the use of cDNA, as previously described [20-23]. All the fusions were further validated using fluorescent in situ hybridization (FISH) [20-22].

Statistical analysis

Pearson’s chi-square test or Fisher’s exact test was used to investigate the correlations between two categorical variables. The association between one categorical variable and one continuous variable was assessed using independent sample Student t test. The recurrence-free survival (RFS) and overall survival (OS) were analyzed using univariate and multivariate Cox proportional hazards regression models. The P and P trend was calculated through variance-weighted least squares test and the chi-square statistics for the trend (regression) of frequencies of oncogenic driver alterations on the percentage of mucin (vwls and ptrend syntaxes), respectively. The statistical analyses were conducted using Stata IC version 15 (Stata Corp, College Station, TX, USA). All tests were two-tailed, and a P<0.05 was considered as statistically significant.

Results

Clinical characteristics

A total of 901 nonmucinous adenocarcinoma from a prior study [13] and 102 newly identified PMPA were analyzed (Table 1). The median age among the patients with PMPA was 59 years (range: 30-80 years), and mean tumor size 3.1 cm (range: 1-11 cm). All patients received pulmonary lobectomy and lymph node dissection. There were no statistical differences of baseline characteristics except that PMPA with >90% mucin vs ≤90% mucin was more likely in never-smokers (P=0.032), of early stages (P=0.016), and of early N categories (P=0.025).

Table 1.

Baseline characteristics of the pulmonary mucin-producing adenocarcinomas

Non-mucinous adenocarcinoma#, n (%) Extracellular mucin ≤90%, n (%) Extracellular mucin >90%, n (%) Total, n (%) P ^ P *
Age
    <60 years 441 (48.9) 28 (45.9) 19 (47.5) 488 (48.7) 0.889 0.875
    60+ years 460 (51.1) 33 (54.1) 21 (52.5) 514 (51.3)
Sex
    Female 497 (55.2) 30 (48.4) 24 (60.0) 551 (54.9) 0.471 0.251
    Male 404 (44.8) 32 (51.6) 16 (40.0) 452 (45.1)
Smoker
    Never-smoker 605 (67.1) 34 (56.7) 31 (77.5) 670 (66.9) 0.087 0.032
    Smoker 296 (32.9) 26 (43.3) 9 (22.5) 331 (33.1)
Stage
    I-II 588 (65.3) 43 (69.4) 36 (90.0) 667 (66.6) 0.002 0.016
    III-IV 312 (34.6) 19 (30.7) 4 (10.0) 335 (33.4)
Tumor size
    <1.5 cm NA 9 (14.5) 6 (15.0) 15 (14.7) 0.95
    ≥1.5 cm 53 (85.5) 34 (85.0) 87 (85.3)
N category
    0 NA 43 (71.67) 33 (89.19) 76 (78.35) 0.025
    1 4 (6.7) 3 (8.1) 7 (7.2)
    2 13 (21.7) 1 (2.7) 14 (14.4)
M category
    0 NA 55 (93.2) 34 (91.9) 89 (92.7) >0.99
    1 4 (6.8) 3 (8.1) 7 (7.3)
Lymphovascular invasion
    Absent NA 22 (81.5) 14 (93.3) 36 (85.7) 0.395
    Present 5 (18.5) 1 (6.7) 6 (14.3)

Note: SD, standard deviation; NA, not available;

#

Data extracted and recalculated from Hu et al. (OncoTargets and Therapy, 2014);

^

Comparison of the all 3 groups using Chi-square or Fisher exact test;

*

Comparison of the 2 mucin-producing groups (≤90% versus >90%) using Chi-square or Fisher exact test.

Common oncogenic driver alterations

Of the 897 nonmucinous adenocarcinomas and 100 PMPA with known oncogenic-driver status (the other 2 cases had no complete molecular testing), 161 (16.1%) harbored no known mutation/rearrangements (Table 2), with EGFR (n=635, 63.4%) as the most common mutation and KRAS and ALK as the second and third most common alterations, respectively (n=74, 7.1%, and n=68, 6.8%). The frequencies of oncogenic-driver mutations/rearrangements were ordinally associated with the mucin abundancy (Table 2, overall P<0.001).

Table 2.

Abundancy of extracellular mucin and the frequency of oncogenic driver alternations in pulmonary adenocarcinomas among Chinese

Driver gene Non-mucinous adenocarcinoma#, n(%) Extracellular mucin ≤90%, n (%) Extracellular mucin >90%, n (%) Total Coefficient (5% CI)^ P ^ P *
ALK 47 (5.2) 9 (14.8) 12 (30.8) 68 (6.8) 0.11 (0.06 to 0.17) <0.001 0.078
BRAF 13 (1.4) 0 (0.0) 1 (2.6) 14 (1.4) 0.01 (-0.02 to 0.03) 0.666 0.39
EGFR 609 (67.6) 20 (32.8) 6 (15.4) 635 (63.4) -0.28 (-0.33 to -0.22) <0.001 0.064
FGFR1/3 NA 0 (0.0) 0 (0.0) 0 (0.0) NA NA
HER2 18 (2.0) 1 (1.6) 1 (2.6) 20 (2.0) 0.00 (-0.02 to 0.02) 0.962 >0.99
KRAS 53 (5.9) 7 (11.5) 14 (35.9) 74 (7.4) 0.11 (0.05 to 0.16) <0.001 0.005
MET NA 0 (0.0) 1 (2.6) 1 (1.0) NA 0.40
Pan-neg 145 (16.1) 14 (23.0) 2 (5.1) 161 (16.1) -0.04 (-0.08 to -0.01) 0.015 0.024
RET 12 (1.3) 7 (11.5) 1 (2.6) 20 (2.0) 0.01 (-0.01 to 0.04) 0.246 0.116
ROS1 NA 3 (4.9) 1 (2.6) 4 (4.0) -0.02 (-0.10 to 0.05) 0.535 >0.99
Total 897 (100.0) 61 (100.0) 39 (100.0) 997 (100.0) 0.001

Note: Fisher exact test shows overall differences among the groups (P=0.001).

#

Data extracted and recalculated from Hu et al. (OncoTargets and Therapy, 2014);

^

The test of variance-weighted least squares on the association of mucin abundancy (none, ≤90% vs >90%) with a given oncogenic driver alternation (binary variable);

*

Fisher exact test on the association of and mucin extent (≤90% versus >90%) with a given oncogenic-driver alternation (binary variable).

Pan-neg, no alternations in any of the tested oncogenic drivers; NA, not available.

Pathological characteristics

We divided the 42 PMPA with >90% of extracellular mucin into three subtypes according to the predominant histological features: I, columnar cells with basal-located nuclei and abundant intracytoplasmic mucin (Figure 1A); II, cuboidal cells with goblet cell features (Figure 1B) and III, mucinous cribriform pattern (Figure 1C).

Figure 1.

Figure 1

The characteristics of three different morphology in mucin-producing adenocarcinomas with mucin more than 90%: Columnar mucinous cell with basal nuclei (A), Cuboidal cell with goblet cell feature (B), and Mucinous cribriform pattern (C).

We also found that the subtype of PMPA with >90% extracellular mucin was associated with the frequencies of ALK (P<0.001), KRAS (P=0.002) and MET (P=0.001) mutations/rearrangements (Table 3), but not with the others. ALK rearrangement was not found in any of type-I PMPA with >90% mucin (n=10), while KRAS and MET not mutated in any of type-III PMPA with >90% mucin (n=12). The subgroup analysis showed that the ALK rearrangements linked to the subtypes of PMPA with >90% extracellular mucin in smokers, but KRAS and MET mutations linked to the subtypes in never-smokers (Table 6).

Table 3.

The histopathologic characteristics of different oncogenic driver mutations in mucin-producing adenocarcinoma with more than 90% of extracellular mucin

I. Columnar cell with basal nuclei and abundant mucin-filled cytoplasm, n (%) II. Cuboidal cell with goblet cell feature, n (%) III. Mucinous cribriform pattern, n (%) Total P
ALK
    Absent 10 (100.0) 15 (88.2) 2 (16.7) 27 (69.2) <0.001
    Present 0 (0.0) 2 (11.8) 10 (83.3) 12 (30.8)
BRAF
    Absent 9 (90.0) 17 (100.0) 12 (100.0) 38 (97.4) 0.256
    Present 1 (10.0) 0 (0.0) 0 (0.0) 1 (2.6)
EGFR
    Absent 8 (80.0) 13 (76.5) 12 (100.0) 33 (84.6) 0.20
    Present 2 (20.0) 4 (23.5) 0 (0.0) 6 (15.4)
FGFR1/3
    Absent 10 (100.0) 17 (100.0) 12 (100.0) 39 (100.0) NA
KRAS
    Absent 6 (60.0) 7 (41.2) 12 (100.0) 25 (64.1) 0.002
    Present 4 (40.0) 10 (58.8) 0 (0.0) 14 (35.9)
HER2/ERBB2
    Absent 9 (90.0) 17 (100.0) 12 (100.0) 38 (97.4) 0.256
    Present 1 (10.0) 0 (0.0) 0 (0.0) 1 (2.6)
MET
    Absent 6 (60.0) 6 (35.3) 12 (100.0) 24 (61.5) 0.001
    Present 4 (40.0) 11 (64.7) 0 (0.0) 15 (38.5)
RET
    Absent 6 (60.0) 7 (41.2) 11 (91.7) 24 (61.5) 0.18
    Present 4 (40.0) 10 (58.8) 1 (8.3) 15 (38.5)
ROS1
    Absent 10 (100.0) 17 (100.0) 11 (91.7) 38 (97.4) 0.564
    Present 0 (0.0) 0 (0.0) 1 (8.3) 1 (2.6)
Pan-negative
    Absent 8 (80.0) 17 (100.0) 12 (100.0) 37 (94.9) 0.061
    Present 2 (20.0) 0 (0.0) 0 (0.0) 2 (5.1)

Note: Pan-negative, no mutations/rearrangements of the 9 oncogenic driver genes were found. Bolded cells indicate characteristic pattern of the subtype of pulmonary mucin-producing adenocarcinoma.

Table 6.

The histopathologic characteristics of different oncogenic driver mutations in mucin-producing adenocarcinoma with more than 90% of extracellular mucin, by smoker status

Never-smoker Smoker


Type I, n (%) Type II, n (%) Type III, n (%) Total P Type I, n (%) Type II, n (%) Type III, n (%) Total P
ALK
    Absent 2 (100.0) 4 (100.0) 0 (0.0) 6 (75.0) 0.071 8 (100.0) 11 (84.6) 2 (20.0) 21 (67.7) <0.001
    Present 0 (0.0) 0 (0.0) 2 (100.0) 2 (25.0) 0 (0.0) 2 (15.4) 8 (80.0) 10 (32.3)
BRAF
    Absent 7 (87.5) 13 (100.0) 10 (100.0) 30 (96.8) 0.258 2 (100.0) 4 (100.0) 2 (100.0) 8 (100.0) NA
    Present 1 (12.5) 0 (0.0) 0 (0.0) 1 (3.2)
EGFR
    Absent 6 (75.0) 9 (69.2) 10 (100.0) 25 (80.7) 0.155 2 (100.0) 4 (100.0) 2 (100.0) 8 (100.0) NA
    Present 2 (25.0) 4 (30.8) 0 (0.0) 6 (19.4)
FGFR1/3
    Absent 8 (100.0) 13 (100.0) 10 (100.0) 31 (100.0) NA 2 (100.0) 4 (100.0) 2 (100.0) 8 (100.0) NA
KRAS
    Absent 6 (75.0) 7 (53.9) 10 (100.0) 23 (74.2) 0.033 0 (0.0) 0 (0.0) 2 (100.0) 2 (25.0) 0.071
    Present 2 (25.0) 6 (46.2) 0 (0.0) 8 (25.8) 2 (100.0) 4 (100.0) 0 (0.0) 6 (75.0)
HER2/ERBB2
    Absent 7 (87.5) 13 (100.0) 10 (100.0) 30 (96.8) 0.258 2 (100.0) 4 (100.0) 2 (100.0) 8 (100.0) NA
    Present 1 (12.5) 0 (0.0) 0 (0.0) 1 (3.2)
MET
    Absent 6 (75.0) 6 (46.2) 10 (100.0) 22 (71.0) 0.011 0 (0.0) 0 (0.0) 2 (100.0) 2 (25.0) 0.071
    Present 2 (25.0) 7 (53.9) 0 (0.0) 9 (29.0) 2 (100.0) 4 (100.0) 0 (0.0) 6 (75.0)
RET
    Absent 6 (75.0) 7 (53.9) 9 (90.0) 22 (71.0) 0.142 0 (0.0) 0 (0.0) 2 (100.0) 2 (25.0) 0.071
    Present 2 (25.0) 6 (46.2) 1 (10.0) 9 (29.0) 2 (100.0) 4 (100.0) 0 (0.0) 6 (75.0)
ROS1
    Absent 8 (100.0) 13 (100.0) 9 (90.0) 30 (96.8) 0.581 2 (100.0) 4 (100.0) 2 (100.0) 8 (100.0) NA
    Present 0 (0.0) 0 (0.0) 1 (10.0) 1 (3.2)
Pan-negative
    Absent 6 (75.0) 13 (100.0) 10 (100.0) 29 (93.6) 0.06 2 (100.0) 4 (100.0) 2 (100.0) 8 (100.0) NA
    Present 2 (25.0) 0 (0.0) 0 (0.0) 2 (6.5)

Note: The proposed subtypes of pulmonary mucin-producing adenocarcinoma with >90% extracellular mucin: type I, Columnar cell with basal nuclei and abundant mucin-filled cytoplasm; type II, Cuboidal cell with goblet cell feature; type III, Mucinous cribriform pattern; Pan-negative, no mutations/rearrangements of the 9 oncogenic driver genes were found. Bolded cells indicate characteristic pattern of the subtype of pulmonary mucin-producing adenocarcinoma.

We first examined the expression of several immunohistochemical markers in the PMPA with >90% mucin using immunohistochemistry (Table 4), including MUC1, MUC2, MUC5ac, MUC6, TTF-1 and CK20. The immunohistochemical markers were all associated with the types of these PMPA. Interestingly, there was an increasing trend in the positive rates of TTF-1 among the 3 types of PMPA with >90% mucin (3/11, 27.3% in type I, 7/16, 43.8% in type II, and 10/12, 83.3% in type III, P=0.017). MUC1 was expressed in all type-III PMPA with >90% mucin, while in less than 30% of other types (P<0.001) (Figure 2A). MUC2 was expressed in 50% of type-II PMPA with >90% mucin, while in less than 10% of other types (P=0.003) (Figure 2B). MUC6 was expressed in 90% of type-I PMPA with >90% mucin, while in less than 30% of other types (P<0.001) (Figure 2D). CK20 positivity was found in 36.4% (4/11) of type-I PMPA with >90% mucin, but not in other types of PMPA with >90% mucin. Finally, MUC5ac was expressed in more than 60% of all types of PMPA with >90% mucin (Figure 2C).

Table 4.

Expression of MUC1, MUC2, MUC5AC, MUC6, CK20 and TTF1 proteins in pulmonary mucin-producing adenocarcinomas with more than 90% of extracellular mucin

Marker I. Columnar cell with basal nuclei and abundant mucin-filled cytoplasm, n (%) II. Cuboidal cell with goblet cell feature, n (%) III. Mucinous cribriform pattern, n (%) Total P
MUC1 Negative 8 (72.7) 13 (81.3) 0 (00.0) 21 <0.001
Positive 3 (27.3) 3 (18.8) 12 (100.0) 18
MUC2 Negative 10 (90.9) 8 (50.0) 12 (100.0) 30 0.003
Positive 1 (9.1) 8 (50.0) 0 (0.0) 9
MUC5ac Negative 0 (0.0) 0 (00.0) 4 (33.3) 4 0.01
Positive 11 (100.0) 16 (100.0) 8 (66.7) 35
MUC6 Negative 1 (9.1) 12 (75.0) 11 (91.7) 24 <0.001
Positive 10 (90.9) 4 (25.0) 1 (8.3) 15
TTF1 Negative 8 (72.7) 9 (56.3) 2 (16.7) 19 0.017
Positive 3 (27.3) 7 (43.8) 10 (83.3) 20
CK20 Negative 7 (63.6) 16 (100.0) 12 (100.0) 35 0.004
Positive 4 (36.4) 0 (0.0) 0 (0.0) 4
Tota1 11 (100) 16 (100) 12 (100) 39

Note: Bolded cells indicate likely useful immunohistochemical patterns.

Figure 2.

Figure 2

Representative photomicrographs of pulmonary mucin-producing adenocarcinomas positive for MUC proteins, including MUC1 (A), MUC2 (B), MUC5AC (C) and MUC6 (focally positive, D).

Survival analyses

The median follow-up time for the 42 PMPA patients with >90% extracellular mucin was 29.9 months (range, 4.5 to 45.5 months). Our univariate Cox regression analyses showed that sex (P=0.038), pathologic stage (P=0.005), and lymph node status (P=0.034) were associated with RFS, and only stage (P=0.012) associated with OS (Table 5). Histology subtypes of PMPA with >90% mucin and oncogenic driver mutations were not associated with either RFS or OS. The multivariate Cox regression analysis found that none of the potential factors were associated with RFS (Table 7). Our additional univariate Cox regression analyses revealed that MUC1, MUC2, MUC5ac, MUC6, TTF-1 and CK20 did not link to RFS or OS (Table 8).

Table 5.

Univariate analysis on the factors associated with survivals of pulmonary mucin-producing adenocarcinoma with more than 90% of extracellular mucin

Factors Recurrence-free survival Overall survival


HR (95% CI) P HR (95% CI) P
Sex (male vs female) 4.2 (1.1-16) 0.038 2.7 (0.4-19.3) 0.332
Age (65+ vs <65 years) 0.3 (0-2.2) 0.227 2.9 (0.4-20.5) 0.294
Age (60+ vs <60 years) 0.51 (0.12-2.07) 0.348 1.18 (0.14-8.45) 0.871
Stage (III-IV vs I-II) 9.9 (2-49.6) 0.005 21.9 (2-243.4) 0.012
Size (1.5+ vs <1.5 cm) 1.9 (0.2-15.7) 0.535 NA
Grade (high vs low) 0.9 (0.4-2.3) 0.827 2.7 (0.4-19.5) 0.313
Lymphovascular invasion (+ vs -) 12.5 (0.8-199.8) 0.074 13 (0.8-207.6) 0.07
N category (2, 1 vs -) 3.2 (1.1-9.4) 0.034 4.1 (1-17.5) 0.054
M category (+ vs -) NA
Psammoma body (+ vs -) 0.7 (0.2-3.6) 0.711 0.9 (0.1-9.2) 0.954
Lepidic spread (+ vs -) 0.8 (0.2-3.1) 0.705
STAS spread (+ vs -) 1.9 (0.5-6.9) 0.356 1.6 (0.2-11.2) 0.65
Histology subtypes
    Histology (columnar, cuboidal vs mucinous cribriform subtypes) 1.1 (0.4-2.5) 0.899 1.4 (0.4-5.4) 0.633
    I. Columnar cell with basal nuclei and abundant mucin-filled cytoplasm 0.4 (0-2.9) 0.342 NA
    II. Cuboidal cell with goblet cell feature 2.9 (0.7-11.6) 0.136 3.9 (0.4-37.5) 0.239
    III. Mucinous cribriform pattern 0.6 (0.1-2.7) 0.481 0.7 (0.1-6.9) 0.771
Oncogenic driver genes
    Gene (all) 0.9 (0.6-1.2) 0.385 1 (0.6-1.5) 0.955
    ALK (+ vs -) 1.7 (0.5-6.4) 0.422 0.7 (0.1-6.4) 0.721
    EGFR (+ vs -) 0.6 (0.1-5) 0.65 1.6 (0.2-15.2) 0.693
    KRAS (+ vs -) 1.7 (0.5-6.4) 0.424 2.1 (0.3-14.8) 0.464

Note: HR, hazard ratio; CI, confidence interval; STAS, spread through alveolar spaces; +, present; -, absent or undetectable; vs, versus.

Table 7.

Multivariate analysis on the factors associated with the survivals of pulmonary mucin-producing adenocarcinoma with more than 90% of mucin

Factors Recurrence-free survival Overall survival


HR (95% CI) P HR (95% CI) P
Sex (male vs female) 5 (0.7-37.8) 0.118
Stage (III-IV vs I-II) 6 (0.1-630.2) 0.453 NA
Lymphovascular invasion (+ vs -) NA* NA
N category (2, 1 vs -) 3.9 (0.5-29.1) 0.178
Cuboidal cell with goblet cell feature 6.9 (0.7-64.5) 0.091

Note: HR, hazard ratio; CI, confidence interval; STAS, spread through alveolar spaces; +, present; -, absent or undetectable; vs, versus.

*

for recurrence-free survival, inclusion of lymphovascular invasion as a factor led to no valid Cox regression models; therefore, it was excluded in the final multivariate survival model.

Table 8.

Univariate analysis on the immunohistochemical markers associated with the survivals of pulmonary mucin-producing adenocarcinoma with more than 90% of mucin

Factors Recurrence-free survival Overall survival


HR (95% CI) P HR (95% CI) P
MUC1 0.6 (0.1-2.5) 0.486 1 (0.1-7.2) 0.989
MUC2 1.6 (0.4-6.9) 0.501 NA
MUC5ac 1 (0.1-8.5) 0.972 0.5 (0-4.4) 0.501
MUC6 0.6 (0.1-2.9) 0.499 1.8 (0.3-13) 0.548
TTF-1 0.5 (0.1-2.2) 0.372 1 (0.1-6.8) 0.961
CK20 NA NA

Note: HR, hazard ratio; CI, confidence interval; STAS, spread through alveolar spaces; +, present; -, absent or undetectable; vs, versus.

Discussion

This retrospective study on 1,003 lung adenocarcinomas in Chinese showed that mucin abundancy (little, ≤90% versus >90% mucin) was ordinally associated with oncongenic-driver alterations. We also proposed to group the PMPA with >90% extracellular mucin intro three subtypes, namely type I (Columnar cells with basal nuclei and abundant mucin-filled cytoplasm), type II (Cuboidal cells with goblet cell feature) and type III (Mucinous cribriform pattern). The 3 subtypes show unique histological, immunohistochemical and oncogenic driver alterations, although they did not have different RFS or OS.

The proposed 3 subtypes of PMPA with >90% mucin exhibit unique immunophenotypic features. MUC1 was expressed in all of the type III tumors, while <30% in other types. MUC1 thus may be used as a positive marker for type III tumors, although it was not found differentially expressed in mucinous and nonmucinious lung adencarcinomas [24]. On the other hand, due to the higher expression rate in type I (91% vs <25% in other types), MUC6 may be a positive/sensitive marker for type I tumors. It is interesting that higher expression of MUC6 was found in less mucin-secreting cuboidal cells of lung adenocarcinomas [24]. Finally, MUC5ac protein expression was found in >80% of all subtypes (100% in types I and II) and may be useful to highlight or confirm the mucinous component. Indeed, recent reports show that MUC5ac protein and mRNA were highly expressed in mucin-secretion components of lung carcinomas [24-27].

The proposed 3 subtypes of PMPA with >90% mucin are associated with the alterations of ALK, KRAS and MET, but not those of BRAF, EGFR, FGFR1/3, HER2/ERBB2, RET and ROS1. A higher frequency (83%) of ALK rearrangements in type III (vs types I and II) PMPA with >90% mucin suggests they may be helpful in treating this type of PMPA. This finding is consistent with that in Asian studies [3,28-32], but contradictory to that of an American study showing no association [4]. We also show that such a high frequency of ALK rearrangement in smokers, but not never-smokers. ALK rearrangement thus may link to the pathogenesis of this type of PMPA in smokers.

We observe KRAS and MET mutations in the types I and II of PMPA with >90% mucin, but not in type III, which was also valid in both smokers and never-smokers. This observation is important because an “assumed” type I or II PMPA with >90% mucin showing a KRAS or MET mutation, is more likely a metastasis than a pulmonary primary. Further investigation may be warranted in these cases. Previously, the frequency of KRAS mutations is found higher in lung adenocarcinomas with higher percentages of mucin [4], which appears to contradict to the lack of KRAS mutations in type III PMPA with >90% mucin in our study. The possible reason of the discrepancy or contradiction may be the racial difference between the prior study and ours, and the unique molecular profile of type III PMPA with >90% mucin. In fact, the cohort in Kadota et al. had 34 cases with cribriform patterns (type III), but did not separate the cases with predominantly cuboidal- or goblet-cells patterns (the proposed types I and II) [4]. In contrast to the KRAS mutations in never-smokers as reported here, KRAS has been reported to be associated with smoker status, mucinous features and signet-ring cell morphology in studies on lung adenocarcinomas [6,33-35]. The mucin content (>90%) in our cases may contribute to the different associations of KRAS mutations with smoker status.

MET mutations were found in 1.7 to 6.5% of lung adenocarcinomas [19,36-38], although as many as 65% of lung adenocarcinomas may have immunohistochemically detectable MET protein [36]. Given the increasingly important role of MET amplification and mutation in treating lung adenocarcinomas, the presence of MET mutation in types I and II of PMPA with >90% mucin provides one more possible therapeutic target for those tumors, but not for type III PMPA with >90% mucin due to their lack of MET mutation. Therefore, subtyping PMPA with >90% mucin may have additional clinical usefulness.

Several strengths of our study are noteworthy. First, we provided early evidence that mucin abundancy was ordinally associated with oncogenic-driver alterations. Near all of the prior works were focused on presence versus absence of mucin, while we categorized mucin abundancy into 3 tiers (little, ≤90% and >90%). Second the expression of mucin proteins and genes has been compared in mucinous and nonmucinous adenocarcinomas of the lung [24-26,39], but to our knowledge none of them used the 2015 WHO classification of lung tumors. Because all of our cases were re-classified using the 2015 WHO classification of lung tumors, our findings on the PMPA with >90% extracellular mucin will be much more relevant to our current practice than prior reports. Third, EGFR, ALK, KRAS and ROS1 are the molecular targets for analysis recommended by the National Comprehensive Cancer Network guidelines. We reported the frequencies of some oncogenic driver alterations in lung adenocarcinomas that could serve as additional therapeutic targets and help clinical management. Finally, we reported distinct histologic, immunohistochemical and oncogenic-driver features in 3 subtypes of PMPA with >90 mucin. These findings may shed lights on future classification of PMPA and improving the histology-molecular correlation of PMPA, particularly on small or limited samples. Future validation studies are needed.

In conclusion, there was an ordinal association of mucin abundancy with oncogenic driver alterations in lung adenocarcinomas among Chinese. The three newly proposed subtypes of PMAP with >90% mucin show unique immunohistochemical patterns in MUC1, MUC2, MUC6 and CK20 and distinct frequencies of alterations in ALK, KRAS and MET, which are different from those of the PMPA in earlier reports. Those markers and oncogenic-driver alterations may help improve the diagnosis, prognostication and treatment of PMPA. This study thus sheds lights on the oncogenic driver alterations associated with histologic characteristics of lung adenocarcinomas, which will be very useful for selecting molecular tests on small samples.

Acknowledgements

This work was supported by the funds from the National Natural Science Foundation of China (Grant number, 81472173).

Disclosure of conflict of interest

None.

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