Differential analysis of genes expression data
Removing batch effects and normalizing data, according to the differential expression analysis of COPD vs. healthy samples, 918 probes from SAE, 1942 probes from lung tissue, 134 probes from blood, 1074 probes from alveolar macrophages, and 5768 probes from sputum samples were identified as the differentially expressed genes (adjusted p-value<0.0001 or fold change>|2|) (Table 1).
Table 1. The summarized data indicating the primary, qualified, and differentially expressed probes in each biological sample.
Biological samples
|
GEO_ID
|
Platform
|
GOLD Stage (Number)
|
Samples
|
N. probes
|
N. differential probes
|
Lung tissue
|
GSE47460
|
GPL6480
GPL14550
|
Healhy=(108)
II=(100)
III=(37)
IV=(83)
|
328
|
42,545
|
1,942
|
Small Airway Epithelial cells (SAE)
|
GSE20257
|
GPL 570
|
Healthy=(112)
I=(9)
II=(12)
III=(2)
|
135
|
54,675
|
932
|
Blood samples
|
GSE54837
|
GPL570
|
I=(88)
II=(70)
III=(55)
IV=(13)
|
226
|
54,675
|
134
|
Macrophages
|
GSE13896
|
GPL6947
|
Healthy=(54)
I=(8)
II=(3)
|
65
|
54,675
|
1,074
|
Sputum
|
GSE22148
|
GPL570
|
II=(71)
III=(59)
IV=(13)
|
143
|
54,675
|
5,768
|
Gene selection and prediction
Using Elastic-net penalized logistic regression, the total number of 33 genes was associated with COPD progression with AUC, sensitivities, and specificities in each biological sample (Table 2). According to statistical comparisons of AUCs of selected genes in different biological samples, SAE cells and macrophages selected genes performed significantly better to predict the disease progression. However, the AUC related to the candidate genes in SAE samples was not different (p-value=0.478) compared to macrophages to predict the disease stage (Figure 1).
Functional enrichment classified the novel genes into five groups, including "Regulation of CoA-transferase activity", "Vacuole organization", "dendritic spine organization", and "Cell adhesion molecules". The expression level of candidate genes in each healthy and all COPD stages among all biological samples (Lung Tissue, SAE, Blood, Macrophage, and Sputum) was measured and graphed (Figure 2).
Table 2. Probes and corresponding 33 candidate genes by elastic-net penalized logistic regression model for the association between the genes with COPD progression.
|
Gene Symbol
|
Probe ID
|
Up/Down upregulated
|
Tissue
|
Epithelium
|
Blood
|
Macrophage
|
Sputum
|
|
CCR4
|
A_23_P72989
|
|
Up
|
100%
|
-
|
-
|
-
|
-
|
|
ITK
|
A_23_P354151
|
|
Up
|
84%
|
-
|
-
|
-
|
-
|
Tissue
|
RPUSD2
|
A_23_P309850
|
|
Down
|
82%
|
-
|
-
|
-
|
-
|
|
RAB11B
|
A_23_P67748
|
|
Down
|
78%
|
-
|
-
|
-
|
-
|
|
OXNAD1
|
A_24_P927189
|
|
Up
|
68%
|
-
|
-
|
-
|
-
|
|
GPR171
|
A_23_P253317
|
|
Up
|
62%
|
-
|
-
|
-
|
-
|
|
BTBD19
|
1557049_at
|
|
Up
|
-
|
100%
|
-
|
-
|
-
|
|
THSD4
|
222835_at
|
|
Down
|
-
|
96%
|
-
|
-
|
-
|
|
PPP4R4
|
233002_at
|
|
Down
|
-
|
95%
|
-
|
-
|
-
|
|
NRG1
|
206343_s_at
|
|
Up
|
-
|
90%
|
-
|
-
|
-
|
|
DNM3
|
209839_at
|
|
Up
|
-
|
89%
|
-
|
-
|
-
|
Epithelium
|
ITGA6
|
201656_at
|
|
Down
|
-
|
84%
|
-
|
-
|
-
|
|
CD109
|
226545_at
|
|
Down
|
-
|
77%
|
-
|
-
|
-
|
|
UHRF1
|
225655_at
|
|
Down
|
-
|
76%
|
-
|
-
|
-
|
|
CST6
|
206595_at
|
|
Down
|
-
|
75%
|
-
|
-
|
-
|
|
EPHB2
|
209589_s_at
|
|
Up
|
-
|
70%
|
-
|
-
|
-
|
|
CDKN2A
|
207039_at
|
|
Up
|
-
|
70%
|
-
|
-
|
-
|
|
KIAA1199
|
212942_s_at
|
|
Up
|
-
|
67%
|
-
|
-
|
-
|
|
RGS20
|
210138_at
|
|
Down
|
-
|
63%
|
-
|
-
|
-
|
|
SH3RF2
|
243582_at
|
|
Down
|
-
|
62%
|
-
|
-
|
-
|
|
MTHFSD
|
244734_at
|
|
Up
|
-
|
-
|
100%
|
-
|
-
|
|
CLEC7A
|
1554406_a_at
|
|
Up
|
-
|
-
|
89%
|
-
|
-
|
Blood
|
VCAN
|
211571_s_at
|
|
Up
|
-
|
-
|
66%
|
-
|
-
|
|
PTPN4
|
236935_at
|
|
Down
|
-
|
-
|
-
|
100%
|
-
|
|
CCDC37
|
242615_at
|
|
Up
|
-
|
-
|
-
|
77%
|
-
|
|
GABARAPL1
|
208869_s_at
|
|
Up
|
-
|
-
|
-
|
67%
|
-
|
Macrophage
|
ADAMTSL1
|
1552808_at
|
|
Down
|
-
|
-
|
-
|
64%
|
-
|
|
ATOH8
|
1558706_a_at
|
|
Down
|
-
|
-
|
-
|
64%
|
-
|
|
SSBP1
|
202591_s_at
|
|
Up
|
-
|
-
|
-
|
62%
|
-
|
|
SRPX
|
204955_at
|
|
Up
|
-
|
-
|
-
|
61%
|
-
|
|
CHRFAM7A/CHRNA7
|
210123_s_at
|
|
Up
|
-
|
-
|
-
|
-
|
100%
|
Sputum
|
HSPA4
|
208814_at
|
|
Down
|
-
|
-
|
-
|
-
|
63%
|
|
CADM1
|
232767_at
|
|
Up
|
-
|
-
|
-
|
-
|
62%
|
|
AUC (SD)
Sensitivity (SD)
Specificity (SD)
|
0.92 (0.035)
|
0.97 (0.039)
|
0.73 (0.051)
|
0.96 (0.052)
|
0.82 (0.064)
|
0.86 (0.073)
|
0.89 (0.138)
|
0.46 (0.079)
|
0.88 (0.222)
|
0.62 (0.122)
|
0.80 (0.097)
|
0.93 (0.057)
|
0.82 (0.023)
|
0.95 (0.064)
|
0.82 (0.044)
|
For plotting co-expression patterns of selected genes among the patients, heatmap with agglomerative hierarchical clustering were plotted (Figure 3). Co-expression pattern of the selected genes resulted in four major clusters in the COPD patients including (OXNAD1, CCR4, ITK, and GPR171), (ADAMTSL1, THSD4, PPP4R4, ITGA6), (BTBD19, EPHB2, CHRFAM7A, SSBP1, GABARAPL1, ATOH8, PTPN4, MTHFSD, CCDC37, NRG1, CADM1, CLEC7A, VCAN), and (KIAA1199, DNM3, SRPX, CDKN2A, RPUSD2, RAB11B, HSPA4, RGS20, SH3RF2, CST6, CD109, UHRF1) (Figure 4). Of these 33 genes, 24 have previously been reported in the literature to be associated with lung diseases, including COPD or other lung disorders (Table 3). THSD4, PPP4R4, CDKN2A, CADM1, and NRG1, which has previously been detected in GWAS studies to determine single nucleotide polymorphisms (SNPs) in COPD and asthma, were among the mentioned 24 genes (https://www.ebi.ac.uk/gwas/home) (38-40). However, we identified nine genes that have not been previously reported in COPD and other lung diseases, including RPUSD2, RAB11B, BTBD19, DNM3, SH3RF2, MTHFSD, ATOH8, SRPX, and HSPA4 (Table 3). These genes may represent novel potential biomarkers in the diagnosis and prognosis of COPD. The functional protein interaction network for the selected genes is illustrated in Figure 3, based on the STRING database (Figure 4).
Table 3. Confirmation of the association of 33 selected genes with COPD/or lung function by literature reviewing in PubMed databank.
Gene Symbol
|
Probe ID
|
Number of studies
|
Associated diseases
|
References (PMIDs)
|
CCR4
|
A_23_P72989
|
4
|
idiopathic pulmonary fibrosis, lung cancer, lung metastasis in breast cancer
|
11590382, 16095529, 17168792, 23915095
|
ITK
|
A_23_P354151
|
7
|
idiopathic pulmonary fibrosis, sarcoidosis, allergic lung disease
|
16630934, 15323564, 12734350, 1646075, 26628680, 25512530, 24089408,
|
RPUSD2
|
A_23_P309850
|
0
|
-
|
-
|
RAB11B
|
A_23_P67748
|
0
|
-
|
-
|
OXNAD1
|
A_24_P927189
|
1
|
lung cancer
|
24040438
|
GPR171
|
A_23_P253317
|
1
|
lung cancer
|
26760963
|
BTBD19
|
1557049_at
|
0
|
-
|
-
|
THSD4
|
222835_at
|
8
|
COPD, airway diseases, asthma, pulmonary fibrosis
|
27564456, 24286382, 23932459, 23541324, 23409998, 22461431, 21965014, 20010834
|
PPP4R4
|
233002_at
|
1
|
COPD
|
28170284
|
NRG1
|
206343_s_at
|
23
|
lung cancer, COPD
|
31382039, 30988082, 30694715, 30568455, 30268483, 30069312, 29959202, and etc.
|
DNM3
|
209839_at
|
0
|
-
|
-
|
ITGA6
|
201656_at
|
4
|
Lung Fibrosis, idiopathic pulmonary fibrosis, lung cancer, prostate, head and neck cancers
|
31396340, 30936924, 28701000, 27143927
|
CD109
|
226545_at
|
5
|
Lung cancer, prostate and breast carcinoma, squamous epithelium, tumour cells
|
29113239, 28191885, 24667143, 17922683, 15116102
|
UHRF1
|
225655_at
|
8
|
Lung cancer, human ovarian cancer tissues, gastric and breast cancers, metastasis in hepatocellular carcinoma, renal cell carcinoma
|
30528265, 30008828, 29516630, 28849055, 27437769, 26695082, 21351083, 20517312
|
CST6
|
206595_at
|
1
|
lung cancer
|
24398667
|
EPHB2
|
209589_s_at
|
2
|
Allergic Rhinitis and Asthma, lung diseas
|
28231727, 10037197
|
CDKN2A
|
207039_at
|
28
|
Lung cancer, COPD, head and neck cancer, malignant mesothelioma
|
30178167, 28487787, 27987577, and etc.
|
KIAA1199
|
212942_s_at
|
2
|
Non-small-cell lung cancer, cancer cells
|
30478628, 28901311
|
RGS20
|
210138_at
|
1
|
Lung cancer
|
29872324
|
SH3RF2
|
243582_at
|
0
|
-
|
-
|
MTHFSD
|
244734_at
|
0
|
-
|
-
|
CLEC7A
|
1554406_a_at
|
2
|
pulmonary fibrosis, lung inflammatory response
|
27852745, 27473664
|
VCAN
|
211571_s_at
|
7
|
Lung cancer, breast cancer, lung metastasis, asthma
|
27895126, 27581786, 27513329, 25044411, 21742797, 22392539, 23202429
|
PTPN4
|
236935_at
|
1
|
Non-small cell lung cancer (NSCLC)
|
26951513
|
CCDC37
|
242615_at
|
2
|
|
26200272, 22011669
|
GABARAPL1
|
208869_s_at
|
1
|
Non-small cell lung cancer (NSCLC)
|
26356813
|
ADAMTSL1
|
1552808_at
|
1
|
Lung cancer
|
29207642
|
ATOH8
|
1558706_a_at
|
0
|
-
|
-
|
SSBP1
|
202591_s_at
|
1
|
Lung cancer
|
28638454
|
SRPX
|
204955_at
|
0
|
-
|
-
|
CHRFAM7A/CHRNA7
|
210123_s_at
|
5
|
Non-small cell lung cancer (NSCLC), lung tumor, smoking-related lung cancers
|
25407004, 28283678, 28978081, 31096457, 30282908
|
HSPA4
|
208814_at
|
0
|
-
|
-
|
CADM1
|
232767_at
|
18
|
Lung cancer, lung tumor, lung epithelial cell apoptosis, lung fibroblasts, lung tumorigenesis
|
31069869, 23620770, 22429880, 22429880, and etc.
|
Causal pathway of selected candidate genes
Fitting the path diagram of selected genes (Figure 5), the genes in SAE, lung tissue, and sputum had more significant direct effects on COPD progression, respectively. In contrast, the identified genes in blood samples had less significant direct and indirect effects on COPD progression. Based on the magnitude of indirect path coefficient, the novel genes in macrophages, lung tissue, SAE cells, and sputum affected COPD progression significantly indirectly compared with blood samples (Table 4). All goodness of fit indices indicated that the model has an acceptable fit (RMSEA=0.059, P-value<0.05; SRMR=0.051).
Table 4. Direct, indirect, and total effects of selected genes in studied biological samples on COPD progression.
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)