Literature DB >> 26224019

A favourable prognostic marker for EGFR mutant non-small cell lung cancer: immunohistochemical analysis of MUC5B.

Kouki Wakata1, Tomoshi Tsuchiya1, Koichi Tomoshige1, Katsunori Takagi1, Naoya Yamasaki1, Keitaro Matsumoto1, Takuro Miyazaki1, Atsushi Nanashima1, Jeffrey A Whitsett2, Yutaka Maeda2, Takeshi Nagayasu1.   

Abstract

OBJECTIVES: To determine the use of the mucin proteins MUC5B and MUC5AC as prognosis markers for non-small cell lung cancer (NSCLC) carrying epidermal growth factor receptor (EGFR) mutations.
SETTING: Patients who underwent surgical resection at Nagasaki University Hospital and related facilities in Japan between June 1996 and March 2013. PARTICIPANT: 159 Japanese patients (male: n=103; female: n=56) with NSCLC, who underwent surgical resection (EGFR-mutant type: n=78, EGFR wild type: n=81).
RESULTS: Patients whose tumours expressed MUC5B had significantly longer overall survival and relapse-free survival compared to the MUC5B-negative patients with EGFR mutant NSCLC (p=0.0098 and p=0.0187, respectively). In patients with EGFR wild-type NSCLC, there was no association with MUC5B expression. MUC5AC expression was not different between EGFR mutant and wild-type NSCLC.
CONCLUSIONS: Present findings indicate that MUC5B, but not MUC5AC, is a novel prognostic biomarker for patients with NSCLC carrying EGFR mutations but not for patients with NSCLC carrying wild-type EGFR. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26224019      PMCID: PMC4521511          DOI: 10.1136/bmjopen-2015-008366

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


A prognostic marker for each driver mutation in non-small cell lung cancer (NSCLC) has not yet been determined. MUC5B is a favourable postoperative prognostic marker for epidermal growth factor receptor (EGFR) mutant NSCLC. MUC5AC is not correlated with postoperative prognosis regardless of EGFR mutation status. The function of MUC5B in EGFR mutant NSCLC remains unknown.

Introduction

Lung cancer is the primary cause of cancer-related death in the USA and worldwide.1 Non-small cell lung cancer (NSCLC) accounts for approximately 80–85% of all lung cancers.1 Currently, targeted therapies for non-resectable NSCLC have progressed rapidly, based on the discovery of pharmacologically treatable driver mutations in epidermal growth factor receptor (EGFR) and fusions of anaplastic lymphoma kinase (ALK).2 3 These moleculary targeted therapies have revealed distinct and/or overlapping tumorigenic pathways associated with each driver mutation, especially regarding the mechanisms of tumour recurrence.4 Genetic screening of driver mutations, including EGFR mutations and ALK fusions, is now common for metastatic NSCLC but not for surgically resected primary NSCLC.5 In the ALCHEMIST lung cancer trials (http://www.cancer.gov/researchandfunding/areas/clinical-trials/nctn/alchemist), patients whose primary lung tumours carry EGFR mutations (EGFR-mutant patients) are being tested for adjuvant therapy of erlotinib targeting EGFR mutations. However, a favourable or poor prognostic biomarker associated with EGFR mutations is not known. Such biomarkers will be useful to determine EGFR-mutant patients who would benefit most from the adjuvant therapy of erlotinib and to avoid such unnecessary therapy after surgery in patients who would not benefit. Recently, we reported that decreased expression of Nkx2–1 (also known as TTF-1) in a mouse model of EGFR mutant NSCLC reduced the number and size of lung tumours,6 and extended the survival of the mice (see online supplementary figure S1). Unexpectedly, the decreased Nkx2–1 induced the expression of a mucin protein MUC5B but not MUC5AC in EGFR-mutant lung tumours in the mice,6 suggesting that MUC5B may serve as a favourable prognostic marker associated with EGFR mutant NSCLC in humans. In the present study, we assessed whether the expression of MUC5B in the primarily resected EGFR mutant or wild-type lung tumours is linked to survival of the patients after surgery. Our study provides a novel approach to assess prognosis for patients whose primarily resected lung tumours carry EGFR mutations.

Methods

Study population

Among the patients who underwent surgical resection at Nagasaki University Hospital and related facilities between June 1996 and March 2013, patients who were tested for the presence or absence of EGFR mutations were selected for this study. The EGFR mutations were confirmed internally or externally (LSI Medience Corporation, Japan). We further selected the patients whose clinicopathological characteristics were retrieved from the patients’ charts and whose prognosis was followed at our institution and related facilities. We enrolled 159 patients (EGFR-mutant type: n=78, EGFR wild type: n=81) for this study (table 1). All investigations were approved by our institution and related facilities’ review boards, and informed consent was obtained from all participants prior to the study.
Table 1

Baseline characteristics of the 159 patients with NSCLC

Number of patients
Median age (range, years)67.5 (32–90)
Gender
 Male103 (65%)
 Female56 (35%)
Smoking status
 Non-smoker54 (34%)
 Smoker105 (66%)
Histological type
 Adenocarcinoma: bronchoalveolar33 (21%)
 Adenocarcinoma91 (57%)
 Squamous cell carcinoma32 (20%)
 Adenosquamous carcinoma2 (1%)
 Other*1 (1%)
 Median tumour size (range, mm)32.4 (8–120)
Degree of differentiation
 Well55 (35%)
 Moderately69 (43%)
 Poorly28 (18%)
 MD7 (4%)
Stage
 IA/IB81 (51%)
 IIA/IIB40 (25%)
 IIIA/IIIB38 (24%)
Tumour status
 T1–2136 (86%)
 T3–423 (14%)
Nodal status
 N0103 (65%)
 N1–356 (35%)
Lymphatic invasion
 Negative56 (35%)
 Positive102 (64%)
 MD1 (1%)
Venous invasion
 Negative76 (48%)
 Positive82 (52%)
 MD1 (1%)
Adjuvant chemotherapy
 Yes85 (53%)
 No74 (47%)
EGFR
 Wild type81 (51%)
 Mutant type78 (49%)

Data are median (range) or number (%) unless otherwise stated.

*Other mean NSCLC neuroendocrine.

EGFR, epidermal growth factor receptor; MD, missing data; NSCLC, non-small cell lung cancer.

Baseline characteristics of the 159 patients with NSCLC Data are median (range) or number (%) unless otherwise stated. *Other mean NSCLC neuroendocrine. EGFR, epidermal growth factor receptor; MD, missing data; NSCLC, non-small cell lung cancer.

Clinicopathological evaluation

Histological classification of NSCLC was designated as three types—well, moderately and poorly differentiated—based on the predominant features according to the WHO classification.7 The patients remained for a median follow-up period of 1680 days, ranging from 55 to 4503 days. For all patients, periodic inspection with chest X-ray, CT scan and tumour marker assays was performed at least every 6 months to confirm the presence or absence of recurrence, even if patients experienced no problems or no symptoms.

Antibody information

For immunohistochemical staining, primary antibodies were used at the following concentrations: rabbit polyclonal anti-MUC5B (1:200; sc-20 119, Santa Cruz Biotechnology) and rabbit polyclonal anti-MUC5AC (1:50; sc-20 118, Santa Cruz Biotechnology).

Sample preparation, selection and immunohistochemistry

The 5 µm thick formalin-fixed paraffin-embedded (FFPE) lung sections were deparaffinised in dimethylbenzene and dehydrated through a graded alcohol series. For antigen retrieval, the FFPE lung sections were incubated in 10 mM citric acid (pH 6) at 121°C for 15 min and then washed in phosphate-buffered saline (PBS). Next, the lung sections were immersed in 3% H2O2 solution for 30 min to block the endogenous peroxidase followed by incubation with each primary antibody at 4oC overnight. After washing in PBS, the lung sections were incubated with the peroxidase-conjugated secondary antibodies (Simple Stain MAX-PO kit, Nichirei, Tokyo, Japan) for 30 min at room temperature. For immunohistochemistry (IHC) staining, the lung sections were visualised with a diaminobenzidine (DAB: brown) kit (Histofine, Nichirei) and counterstained with H&E. The lung sections visualised with DAB were dehydrated with alcohol and dimethylbenzene and mounted in a conventional fashion. Normal bronchial tissue specimens that moderately expressed MUC5B were prepared as positive controls in all cases. Normal gastric mucosa tissue specimens that moderately expressed MUC5AC were prepared as positive controls in all cases. Negative controls were also prepared in all cases. MUC5B and MUC5AC staining was evaluated by IHC by two independent trained observers (KW and TT). The pathological criteria were determined by reference to guideline for human epidermal growth factor receptor 2 (Her2/neu) testing in breast cancer (score 0, no staining observed or incomplete faint/barely perceptible cytoplasmic staining of <10% of tumour cells; score 1, incomplete faint/barely perceptible cytoplasmic staining of >10% of tumour cells; score 2, incomplete weak/moderate cytoplasmic staining of >10% of tumour cells; score 3, complete and intense cytoplasmic staining of >30% of tumour cells).8 Scores 0 and 1 were further categorised as negative, and scores 2 and 3 as positive.

Statistical analysis

For univariate analysis, categorical data were analysed by the χ2 test, Fisher's exact test or the Cochran-Armitage test. Continuous data were expressed as a mean using the Mann-Whitney U test or the Kruskal-Wallis test. The overall survival (OS) and relapse-free survival (RFS) were calculated according to the Kaplan-Meier method, and differences between groups were tested for significance using the log-rank test. Participants who neither died nor had recurrence were censored at the time of their last follow-up. The prognostic relevance of a single factor was determined by multivariate Cox regression analysis. A p value of 0.05 or less was considered significant. SPSS V.17 software (SPSS Japan, Tokyo, Japan) was used for the analysis.

Results

Expression of MUC5B and MUC5AC in human NSCLC

Since MUC5B is an abundant cytoplasmic and secreted protein, we assessed whether MUC5B could be used as a prognostic marker for patients with NSCLC carrying EGFR mutations in primary resected human lung tumours. Primary resected NSCLC tumours were tested immunohistochemically for the presence of MUC5B. MUC5B staining was detected in the cytoplasm of NSCLC cells in 27 of the 78 samples with EGFR mutations and 29 of the 81 samples with wild-type EGFR (figure 1A, B). The NSCLC samples were also tested using MUC5AC antibody, detecting expression of MUC5AC in the cytoplasm of NSCLC cells in 20 of the 73 samples with EGFR mutations and 24 of the 79 samples with wild-type EGFR (figure 1C, D). These results indicate that both MUC5B and MUC5AC are expressed in a portion of human NSCLC.
Figure 1

Immunohistochemical staining for MUC5B and MUC5AC expression in NSCLC. Representative images of immune-positive staining for MUC5B in non-small cell lung cancer (A), negative staining (B), positive staining for MUC5AC (C) and negative staining (D).

Immunohistochemical staining for MUC5B and MUC5AC expression in NSCLC. Representative images of immune-positive staining for MUC5B in non-small cell lung cancer (A), negative staining (B), positive staining for MUC5AC (C) and negative staining (D).

Prognostic association of MUC5B or MUC5AC with EGFR mutant or wild-type NSCLC

Expression of MUC5B in NSCLC tumours carrying EGFR mutations was not correlated with clinicopathological parameters, including age, gender, smoking status, histological type, tumour size, degree of differentiation, stage, tumour status, nodal status, lymphatic invasion, venous invasion or adjuvant chemotherapy (table 2). Expression of MUC5B in NSCLC tumours with wild-type EGFR was not correlated with all of the clinicopathological parameters but was correlated with the histological type (see online supplementary table S1).
Table 2

Association with clinicopathological data and the expression of MUC5B of patients with EGFR-mutant NSCLC

ParametersMUC5B
p Value
TotalNegative (−)Positive (+)
(n=78)(n=51)(n=27)
Median age (range, years)66.9 (41–85)66.7 (42–83)67.3 (41–85)0.674
Gender
 Male35 (45%)22 (28%)13 (17%)
 Female43 (55%)29 (37%)14 (18%)0.6721
Smoking status
 Non-smoker42 (54%)28 (36%)14 (18%)
 Smoker36 (46%)23 (29%)13 (17%)0.7971
Histological type
 Adenocarcinoma: bronchoalveolar27 (35%)16 (21%)11 (14%)
 Adenocarcinoma43 (55%)29 (37%)14 (18%)
 Squamous cell carcinoma8 (10%)6 (8%)2 (3%)0.6522
 Median tumour size (range, mm)25.7 (8–60)26.1 (8–60)24.9 (8–50)0.8771
Degree of differentiation
 Well35 (45%)22 (28%)13 (17%)
 Moderately28 (36%)19 (24%)9 (12%)
 Poorly11 (14%)6 (8%)5 (6%)0.7348
 MD4 (5%)4 (5%)0 (0%)
Stage
 IA/IB46 (59%)29 (37%)17 (22%)
 IIA/IIB14 (18%)8 (10%)6 (8%)
 IIIA/IIIB18 (23%)14 (18%)4 (5%)0.4162
Tumour status
 T1–268 (87%)42 (54%)26 (33%)
 T3–410 (13%)9 (12%)1 (1%)0.0797
Nodal status
 N053 (68%)35 (45%)18 (23%)
 N1–325 (32%)16 (21%)9 (12%)0.8599
Lymphatic invasion
 Negative35 (45%)26 (33%)9 (12%)
 Positive42 (54%)24 (31%)18 (23%)0.1165
 MD1 (1%)1 (1%)0 (0%)
Venous invasion
 Negative45 (58%)30 (38%)15 (19%)
 Positive32 (41%)20 (26%)12 (15%)0.7057
 MD1 (1%)1 (1%)0 (0%)
Adjuvant chemotherapy
 Yes33 (42%)20 (26%)13 (17%)
 No45 (58%)31 (40%)14 (18%)0.4475

Data are median (range) or number (%) unless otherwise stated.

EGFR, epidermal growth factor receptor; MD, missing data; NSCLC, non-small cell lung cancer.

Association with clinicopathological data and the expression of MUC5B of patients with EGFR-mutant NSCLC Data are median (range) or number (%) unless otherwise stated. EGFR, epidermal growth factor receptor; MD, missing data; NSCLC, non-small cell lung cancer. OS and RFS for patients with NSCLC carrying EGFR mutations or wild-type EGFR were assessed. In a cohort of patients whose resected NSCLC tumours carried EGFR mutations, univariate analysis showed significant differences (p<0.05) in OS in expression of MUC5B, tumour size, histological type, degree of differentiation, stage, lymphatic invasion and venous invasion, and in RFS in expression of MUC5B, tumour size, degree of differentiation, stage, lymphatic invasion and venous invasion (table 3). Patients whose tumours expressed MUC5B (MUC5B-positive patients) survived significantly longer than patients whose tumours did not express MUC5B (MUC5B-negative patients) in both OS (5-year OS; 95.8% vs 65.1%, p=0.0098; figure 2A) and RFS (5-year RFS; 69.9% vs 44%, p=0.0187; figure 2B). Multivariate Cox regression analysis using the variables that were p<0.05 in univariate analysis showed that the expression of MUC5B was independently associated with better OS and RFS (p<0.05; table 4). In a cohort of patients whose resected NSCLC tumours had wild-type EGFR, univariate analysis showed significant differences (p<0.05) in OS in smoking status, stage, venous invasion and adjuvant chemotherapy, and in RFS, lymphatic invasion and venous invasion (see online supplementary table S2). There was no significant difference between the MUC5B-positive patients and MUC5B-negative patients in OS and RFS (5-year OS; 59.5% vs 63.6%, 5-year RFS; 36% vs 48.5%, respectively, figure 2C, D). Expression of MUC5AC in NSCLC was not associated with OS and RFS regardless of EGFR mutation status (figure 3). These results indicate that MUC5B is a favourable prognostic marker for postoperative patients whose resected NSCLC tumours carry EGFR mutation but not for those with wild type-EGFR.
Table 3

Univariate analysis for OS and RFS in EGFR-mutant patients with NSCLC

ParametersNOS
RFS
Survival (%)p ValueSurvival (%)p Value
Age (years)
 <703975.563.6
 ≥703976.30.731141.50.1207
Gender
 Male356954.4
 Female4381.50.316651.80.813
Smoking status
 Non-smoker4375.949.1
 Smoker3673.30.975455.80.8508
MUC5B expression
 Positive2795.869.9
 Negative5165.10.0098440.0187
Tumour size
 <20 mm259585.7
 ≥20 mm4464.40.005831.20.0001
Histological type
 Adenocarcinoma6978.854
 Squamous cell carcinoma846.90.0245500.6369
Degree of differentiation
 Well359072.6
 Moderately2862.334.5
 Poorly1150.60.017238.10.0137
Stage
 I4587.862.8
 II/III3359.30.009538.80.0308
Lymphatic invasion
 Negative3592.374.2
 Positive4262.70.007535.80.0011
Venous invasion
 Negative458966.5
 Positive3255.70.004525.90.0021
Adjuvant chemotherapy
 Yes336237.5
 No4582.80.256963.40.0183

Data are p values by Kaplan-Meier analysis.

EGFR, epidermal growth factor receptor; NSCLC, non-small cell lung cancer; OS, overall survival; RFS, relapse-free survival.

Figure 2

Survival curves for patients based on the expression of MUC5B in epidermal growth factor receptor (EGFR) mutant or wild-type non-small cell lung cancer (NSCLC). Overall and relapse-free survivals (OS and RFS) for patients with NSCLC carrying EGFR mutations or EGFR wild type. OS (A) RFS (B) in the patients with EGF- mutant type NSCLC and OS (C) and RFS (D) in the patients with EGFR wild-type NSCLC.

Table 4

Multivariate analysis for OS and RFS in EGFR-mutant patients with NSCLC

HR95% CIp Value
OS
 MUC5B (positive vs negative)0.0530.0064 to 0.44020.0065
 Differentiation (well vs moderately vs poorly)0.37620.1357 to 1.04280.0602
 Stage I vs stage II/III0.51990.1687 to 1.60190.2545
 Lymphatic invasion (positive vs negative)2.95240.6572 to 13.26310.1578
RFS
 MUC5B (positive vs negative)0.29130.1233 to 0.68860.005
 Stage I vs stage II/III0.59370.2735 to 1.28880.1874
 Lymphatic invasion (positive vs negative)3.76241.5294 to 9.25560.0039

EGFR, epidermal growth factor receptor; NSCLC, non-small cell lung cancer; OS, overall survival; RFS, relapse-free survival.

Figure 3

Survival curves for patients based on the expression of MUC5AC in epidermal growth factor receptor () mutant or wild type non-small cell lung cancer (NSCLC). Overall and relapse-free survivals (OS and RFS) for patients with NSCLC carrying EGFR mutations or EGFR wild type. OS (A) RFS (B) in the patients with EGFR-mutant type NSCLC and OS (C) and RFS (D) in the patients with EGFR wild-type NSCLC.

Univariate analysis for OS and RFS in EGFR-mutant patients with NSCLC Data are p values by Kaplan-Meier analysis. EGFR, epidermal growth factor receptor; NSCLC, non-small cell lung cancer; OS, overall survival; RFS, relapse-free survival. Multivariate analysis for OS and RFS in EGFR-mutant patients with NSCLC EGFR, epidermal growth factor receptor; NSCLC, non-small cell lung cancer; OS, overall survival; RFS, relapse-free survival. Survival curves for patients based on the expression of MUC5B in epidermal growth factor receptor (EGFR) mutant or wild-type non-small cell lung cancer (NSCLC). Overall and relapse-free survivals (OS and RFS) for patients with NSCLC carrying EGFR mutations or EGFR wild type. OS (A) RFS (B) in the patients with EGF- mutant type NSCLC and OS (C) and RFS (D) in the patients with EGFR wild-type NSCLC. Survival curves for patients based on the expression of MUC5AC in epidermal growth factor receptor () mutant or wild type non-small cell lung cancer (NSCLC). Overall and relapse-free survivals (OS and RFS) for patients with NSCLC carrying EGFR mutations or EGFR wild type. OS (A) RFS (B) in the patients with EGFR-mutant type NSCLC and OS (C) and RFS (D) in the patients with EGFR wild-type NSCLC.

Discussion

In the present study, we demonstrate that expression of MUC5B in primary EGFR mutant NSCLC is associated with longer survival in patients with NSCLC. MUC5B, but not MUC5AC, is a favourable prognostic biomarker for NSCLC in humans carrying EGFR mutations. Our study also indicates that adjuvant chemotherapy is not effective for EGFR-mutant patients, suggesting that mutant EGFR-targeting drugs, including gefitinib or erlotinib, should be used as an adjuvant therapy mainly for MUC5B-negative EGFR-mutant patients who have a poorer prognosis than MUC5B-positive EGFR-mutant patients. Our results using MUC5B as a prognosis biomarker for EGFR-mutant patients should be integrated into the ALCHEMIST lung cancer trials to determine patients who would benefit most from the adjuvant therapy. MUC5B has been assessed as a prognostic biomarker for multiple cancers in several studies, using reverse transcription-PCR, microarray analysis and IHC (see online supplementary table S3).9–14 Messenger RNA (mRNA) data assessing MUC5B as a prognostic biomarker is available at PrognoScan, a database for meta-analysis of the prognostic value of genes using microarray data deposited to the public domain.15 The prognostic impact of MUC5B expression differed among cancer types. In lung cancer, six microarray studies analysed by PrognoScan did not indicate MUC5B as either a good or a poor prognostic biomarker.16–21 Immunohistochemical analysis indicated MUC5B as a poor prognosis biomarker (see online supplementary table S3), 9 14 a finding contradicting our present study. Previous mRNA microarray and immunostaining were based on all NSCLCs independent of driver mutation-based classification, which differs from our analysis, which was based on classification by EGFR mutations. The utility of MUC5B as a prognostic factor differed in the two breast cancer studies, depending on the molecular basis of the tumours. In all breast cancers, PrognoScan indicated that MUC5B was associated with poor prognosis;22 23 however, in (estrogen receptor-) positive breast cancers, MUC5B was associated with favourable prognosis,24 indicating the potential importance of tumour classification on a molecular basis. In the present study, we assessed MUC5B as a biomarker for NSCLC based on EGFR mutation status rather than on all NSCLCs, identifying MUC5B as a favourable prognosis biomarker for EGFR mutant NSCLC. Regulation of MUC5B in EGFR mutant NSCLC is not well understood. MUC5AC and MUC5B genes are closely located at a locus on human chromosome 11. Both are evolutionally conserved gel-forming mucins secreted from airway epithelial cells in the lung. In normal lung, MUC5B is constitutively expressed at higher levels than MUC5AC.25 In asthma and other inflammatory lung diseases, MUC5AC is highly induced in airway goblet cells.25 In idiopathic pulmonary fibrosis (IPF), MUC5B but not MUC5AC is highly expressed in the airway goblet cells.26 27 The single-nucleotide polymorphism (SNP) rs35705950 located at the MUC5B promoter is associated with induction of MUC5B mRNA in IPF;27 however, we detected the SNP rs35705950 in only one of 27 cases in the EGFR mutant NSCLC expressing MUC5B (data not shown), indicating that the SNP is not associated with increased MUC5B in EGFR mutant NSCLC. Since MUC5B was induced in EGFR mutant lung tumours in Nkx2–1 heterozygous mice (EGFRL858R; Nkx2–1+/−), Muc5b is suppressed by NKX2–1 in EGFR mutant NSCLC in mice.6 Regulatory mechanisms controlling the MUC5B gene are not understood in EGFR mutant NSCLC in humans. The function of MUC5B in cancer has been analysed using a truncated MUC5B in MCF7 breast cancer cells, truncated MUC5B promoting tumourigenesis of MCF7 cells.13 However, the use of truncated MUC5B may obscure the intrinsic role of full-length MUC5B since there is a possibility that the truncated MUC5B may function in a dominant-negative fashion. In lung, MUC5B is required for mucociliary clearance and innate immunity against bacterial infection.28 The potential functions of MUC5B in lung cancer, including EGFR mutant lung cancer, are not known. The present study suggests that MUC5B or processes regulating MUC5B may influence the growth and metastasis of EGFR mutant NSCLC. MUC5B may serve as a surrogate biomarker influenced by a pathway involved in metastasis and recurrence associated with EGFR mutant NSCLC. In conclusion, our data revealed the clinicopathological significance of MUC5B as a favourable prognostic factor in resected EGFR mutant NSCLC. Further studies are necessary to elucidate the gene regulatory mechanism and the function of MUC5B in EGFR mutant NSCLC.
  28 in total

1.  An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival.

Authors:  Lance D Miller; Johanna Smeds; Joshy George; Vinsensius B Vega; Liza Vergara; Alexander Ploner; Yudi Pawitan; Per Hall; Sigrid Klaar; Edison T Liu; Jonas Bergh
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-02       Impact factor: 11.205

2.  Kras(G12D) and Nkx2-1 haploinsufficiency induce mucinous adenocarcinoma of the lung.

Authors:  Yutaka Maeda; Tomoshi Tsuchiya; Haiping Hao; David H Tompkins; Yan Xu; Michael L Mucenski; Lingling Du; Angela R Keiser; Takuya Fukazawa; Yoshio Naomoto; Takeshi Nagayasu; Jeffrey A Whitsett
Journal:  J Clin Invest       Date:  2012-11-12       Impact factor: 14.808

3.  Muc5b is required for airway defence.

Authors:  Michelle G Roy; Alessandra Livraghi-Butrico; Ashley A Fletcher; Melissa M McElwee; Scott E Evans; Ryan M Boerner; Samantha N Alexander; Lindsey K Bellinghausen; Alfred S Song; Youlia M Petrova; Michael J Tuvim; Roberto Adachi; Irlanda Romo; Andrea S Bordt; M Gabriela Bowden; Joseph H Sisson; Prescott G Woodruff; David J Thornton; Karine Rousseau; Maria M De la Garza; Seyed J Moghaddam; Harry Karmouty-Quintana; Michael R Blackburn; Scott M Drouin; C William Davis; Kristy A Terrell; Barbara R Grubb; Wanda K O'Neal; Sonia C Flores; Adela Cota-Gomez; Catherine A Lozupone; Jody M Donnelly; Alan M Watson; Corinne E Hennessy; Rebecca C Keith; Ivana V Yang; Lea Barthel; Peter M Henson; William J Janssen; David A Schwartz; Richard C Boucher; Burton F Dickey; Christopher M Evans
Journal:  Nature       Date:  2013-12-08       Impact factor: 49.962

4.  Overexpression of MUC5 genes is associated with early post-operative metastasis in non-small-cell lung cancer.

Authors:  C J Yu; P C Yang; C T Shun; Y C Lee; S H Kuo; K T Luh
Journal:  Int J Cancer       Date:  1996-12-20       Impact factor: 7.396

5.  Prognostic and predictive gene signature for adjuvant chemotherapy in resected non-small-cell lung cancer.

Authors:  Chang-Qi Zhu; Keyue Ding; Dan Strumpf; Barbara A Weir; Matthew Meyerson; Nathan Pennell; Roman K Thomas; Katsuhiko Naoki; Christine Ladd-Acosta; Ni Liu; Melania Pintilie; Sandy Der; Lesley Seymour; Igor Jurisica; Frances A Shepherd; Ming-Sound Tsao
Journal:  J Clin Oncol       Date:  2010-09-07       Impact factor: 44.544

6.  Cancer statistics for Hispanics/Latinos, 2012.

Authors:  Rebecca Siegel; Deepa Naishadham; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2012 Sep-Oct       Impact factor: 508.702

7.  MUC5B expression in gastric carcinoma: relationship with clinico-pathological parameters and with expression of mucins MUC1, MUC2, MUC5AC and MUC6.

Authors:  J Pinto-de-Sousa; C A Reis; L David; A Pimenta; M Cardoso-de-Oliveira
Journal:  Virchows Arch       Date:  2004-01-31       Impact factor: 4.064

8.  Prediction of recurrence-free survival in postoperative non-small cell lung cancer patients by using an integrated model of clinical information and gene expression.

Authors:  Eung-Sirk Lee; Dae-Soon Son; Sung-Hyun Kim; Jinseon Lee; Jisuk Jo; Joungho Han; Heesue Kim; Hyun Joo Lee; Hye Young Choi; Youngja Jung; Miyeon Park; Yu Sung Lim; Kwhanmien Kim; YoungMog Shim; Byung Chul Kim; Kyusang Lee; Nam Huh; Christopher Ko; Kyunghee Park; Jae Won Lee; Yong Soo Choi; Jhingook Kim
Journal:  Clin Cancer Res       Date:  2008-11-15       Impact factor: 12.531

9.  Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts.

Authors:  Yudi Pawitan; Judith Bjöhle; Lukas Amler; Anna-Lena Borg; Suzanne Egyhazi; Per Hall; Xia Han; Lars Holmberg; Fei Huang; Sigrid Klaar; Edison T Liu; Lance Miller; Hans Nordgren; Alexander Ploner; Kerstin Sandelin; Peter M Shaw; Johanna Smeds; Lambert Skoog; Sara Wedrén; Jonas Bergh
Journal:  Breast Cancer Res       Date:  2005-10-03       Impact factor: 6.466

Review 10.  The evolving genomic classification of lung cancer.

Authors:  David S Shames; Ignacio I Wistuba
Journal:  J Pathol       Date:  2014-01       Impact factor: 7.996

View more
  9 in total

1.  IRS1 phosphorylation underlies the non-stochastic probability of cancer cells to persist during EGFR inhibition therapy.

Authors:  Adi Jacob Berger; Elinor Gigi; Lana Kupershmidt; Zohar Meir; Nancy Gavert; Yaara Zwang; Amir Prior; Shlomit Gilad; Uzi Harush; Izhak Haviv; Salomon M Stemmer; Galia Blum; Emmanuelle Merquiol; Mariya Mardamshina; Sivan Kaminski Strauss; Gilgi Friedlander; Jair Bar; Iris Kamer; Yitzhak Reizel; Tamar Geiger; Yitzhak Pilpel; Yishai Levin; Amos Tanay; Baruch Barzel; Hadas Reuveni; Ravid Straussman
Journal:  Nat Cancer       Date:  2021-10-21

2.  Requirement for MUC5AC in KRAS-dependent lung carcinogenesis.

Authors:  Alison K Bauer; Misha Umer; Vanessa L Richardson; Amber M Cumpian; Anna Q Harder; Nasim Khosravi; Zoulikha Azzegagh; Naoko M Hara; Camille Ehre; Maedeh Mohebnasab; Mauricio S Caetano; Daniel T Merrick; Adrie van Bokhoven; Ignacio I Wistuba; Humam Kadara; Burton F Dickey; Kalpana Velmurugan; Patrick R Mann; Xian Lu; Anna E Barón; Christopher M Evans; Seyed Javad Moghaddam
Journal:  JCI Insight       Date:  2018-08-09

Review 3.  Ramifications of secreted mucin MUC5AC in malignant journey: a holistic view.

Authors:  Shiv Ram Krishn; Koelina Ganguly; Sukhwinder Kaur; Surinder K Batra
Journal:  Carcinogenesis       Date:  2018-05-03       Impact factor: 4.944

Review 4.  N-acetylgalactosaminyltransferases in cancer.

Authors:  Muhammad Ramzan Manwar Hussain; Daniel C Hoessli; Min Fang
Journal:  Oncotarget       Date:  2016-08-16

5.  Toll like receptors TLR1/2, TLR6 and MUC5B as binding interaction partners with cytostatic proline rich polypeptide 1 in human chondrosarcoma.

Authors:  Karina Galoian; Silva Abrahamyan; Gor Chailyan; Amir Qureshi; Parthik Patel; Gil Metser; Alexandra Moran; Inesa Sahakyan; Narine Tumasyan; Albert Lee; Tigran Davtyan; Samvel Chailyan; Armen Galoyan
Journal:  Int J Oncol       Date:  2017-11-09       Impact factor: 5.650

6.  Reduction of miR‑132‑3p contributes to gastric cancer proliferation by targeting MUC13.

Authors:  Liang He; Linlin Qu; Lijing Wei; Yan Chen; Jian Suo
Journal:  Mol Med Rep       Date:  2017-03-22       Impact factor: 2.952

7.  The Pulmonary Fibrosis Associated MUC5B Promoter Polymorphism Is Prognostic of the Overall Survival in Patients with Non-Small Cell Lung Cancer (NSCLC) Receiving Definitive Radiotherapy.

Authors:  Ju Yang; Ting Xu; Daniel R Gomez; Melenda Jeter; Lawrence B Levy; Yipeng Song; Stephen Hahn; Zhongxing Liao; Xianglin Yuan
Journal:  Transl Oncol       Date:  2017-02-09       Impact factor: 4.243

Review 8.  EGFR-Dependent Extracellular Matrix Protein Interactions Might Light a Candle in Cell Behavior of Non-Small Cell Lung Cancer.

Authors:  Sarah Sayed Hassanein; Ahmed Lotfy Abdel-Mawgood; Sherif Abdelaziz Ibrahim
Journal:  Front Oncol       Date:  2021-12-15       Impact factor: 6.244

9.  MUC5AC Expression in Various Tumor Types and Nonneoplastic Tissue: A Tissue Microarray Study on 10 399 Tissue Samples.

Authors:  Sebastian Dwertmann Rico; Moritz Mahnken; Franziska Büscheck; David Dum; Andreas M Luebke; Martina Kluth; Claudia Hube-Magg; Andrea Hinsch; Doris Höflmayer; Christina Möller-Koop; Christoph Fraune; Katharina Möller; Anne Menz; Christian Bernreuther; Frank Jacobsen; Patrick Lebok; Till S Clauditz; Guido Sauter; Ria Uhlig; Waldemar Wilczak; Ronald Simon; Stefan Steurer; Sarah Minner; Eike Burandt; Till Krech; Andreas H Marx
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.