Literature DB >> 35117538

The clinical and prognostic impact of aldehyde dehydrogenase 1 in non-small cell lung cancer: a meta-analysis.

Jinru Xue1, Yan Zhao2, Qingxu Zou1, Feihai Liang3, Fengwu Lin1.   

Abstract

BACKGROUND: Aldehyde dehydrogenase 1 (ALDH1) has been identified as a cancer stem cell marker. However, the clinical role of ALDH1 in non-small cell lung cancer (NSCLC) remains conflicting. This study was conducted to investigate the correlation of ALDH1 with NSCLC patients' clinicopathological characteristics and prognosis.
METHODS: The electronic databases were searched for the available literature. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) or hazard ratios (HRs: multivariate Cox analysis) with 95% CIs were used to evaluate the impact of ALDH1 on NSCLC.
RESULTS: Final 13 eligible studies with 2,407 patients published between 2009 and 2019 were identified. ALDH1 expression was not correlated with age, gender, smoking behavior, clinical stage, histological grade, lymph node metastasis, and distal metastasis, but the results demonstrated a positive association of ALDH1 expression with recurrence (yes vs. no: OR =2.82, 95% CI, 1.17-6.80, P=0.021) and a negative association of ALDH1 expression with vascular invasion (positive vs. negative: OR =0.63, 95% CI, 0.41-0.98, P=0.04). ALDH1 expression was significantly lower in adenocarcinoma (AD) than in squamous cell carcinoma (SCC) (OR =0.39, 95% CI, 0.30-0.51, P<0.001). Multivariate Cox analysis showed that ALDH1 expression was not associated with overall survival (OS) and disease-free survival (DFS), but was correlated with improved disease-specific survival (DSS) (HR =0.47, 95% CI, 0.22-0.98, P=0.043).
CONCLUSIONS: ALDH1 expression may be an independent favorable prognostic marker for DSS in NSCLC. 2020 Translational Cancer Research. All rights reserved.

Entities:  

Keywords:  Non-small cell lung cancer (NSCLC); adenocarcinoma; aldehyde dehydrogenase 1 (ALDH1); cancer stem cell; prognosis

Year:  2020        PMID: 35117538      PMCID: PMC8797672          DOI: 10.21037/tcr.2020.02.09

Source DB:  PubMed          Journal:  Transl Cancer Res        ISSN: 2218-676X            Impact factor:   1.241


Introduction

Lung cancer is recognized as the most common and lethal malignancy in the world (1). The GLOBOCAN estimates report that approximately 2,093,876 new cases with lung cancer are diagnosed, with 1,761,007 estimated deaths in 2018 worldwide (1). Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, accounting for about 85% of all lung cancer patients (2). The patients with NSCLC have a poor prognosis, with a 5-year survival rate of <17% (3). Adenocarcinoma (AD) and squamous cell carcinoma (SCC) are two main histological subtypes of NSCLC (4). Cancer stem cells (CSCs), a small subset within tumor cells, show the potential capacities of self-renewal, aberrant differentiation, and tumor formation. CSCs are reported to be responsible for tumor progression, relapse, prognosis, and therapeutic resistance (5-8). Aldehyde dehydrogenase 1 (ALDH1), a cytosolic enzyme, involves in oxidation and detoxification functions (9). ALDH1 has been shown as a CSC mark. ALDH1 is reported to be associated with retinoid metabolism, colony formation, epithelial-to-mesenchymal-transition (EMT), and cell migration and invasiveness (10-13). Moreover, ALDH1 is related to resistance to chemotherapy and radiation and the prognosis of cancer (14,15). The expression of ALDH1 could be detected and is correlated with worse prognosis in numerous human cancers such as ovarian cancer, esophageal cancer, and bladder cancer (13,16,17). Recent studies have demonstrated that ALDH1 is frequently expressed in patients with NSCLC (18-20). However, the results of clinical studies about ALDH1 remain controversial in NSCLC. For example, Park 2016 et al. reported that ALDH1 was not associated with overall survival (OS) using multivariate Cox analysis in NSCLC (20). While Zhou 2016 et al. reported that ALDH1 expression was correlated with a poor OS using multivariate Cox analysis in NSCLC (19). To determine the clinical and prognostic effects of ALDH1 in NSCLC, the present meta-analysis via pooling eligible studies was conducted. This analysis may clarify the role of ALDH1 as a molecular target in predicting NSLCL patients’ outcomes.

Methods

Literature search

The current meta-analysis was performed in accordance with the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) statement (21). The PubMed, EMBASE, Web of Science, and Cochrane Library databases were searched to achieve available publications before July 23, 2019. We applied the following keywords and search terms: “(aldehyde dehydrogenase 1 OR ALDH1)”, “pulmonary OR lung,” “cancer OR tumor OR carcinoma OR neoplasm.” Additionally, the references of the included publications were also carefully checked to obtain additional studies.

Study selection

The eligible studies met the following selection criteria were included: (I) the patients with NSCLC were diagnosed; (II) ALDH1 using the anti-ALDH1 antibody in human tissue samples was examined by immunohistochemical (IHC) or immunofluorescence (IF) methods; (III) ALDH1 expression was considered as positive or negative based on the original publications; (IV) studies proved available data to estimate the correlation of ALDH1 expression with the clinicopathological characteristics; (V) according to multivariate Cox analysis, studies provided available hazard ratio (HR) with 95% confidence interval (CI) to evaluate clinical outcomes of ALDH1 expression in NSCLC patients; (VI) in the case of insufficient data, the corresponding author was contacted through email address. When authors published more than one paper using overlapping tissue specimens, only the recent publication or the publication with more detailed information was selected. The main exclusion criteria were: (I) articles reported data on other antibodies such as anti-ALDH1A1 antibody; (II) articles reported data on univariate Cox survival analysis; (III) studies did not apply IHC or IF to detect ALDH1 expression; (IV) only studies regarding animals or cell lines; (V) reviews, editorials, conference abstracts, case reports, letters, and studies with insufficient information.

Data extraction

Data from full-text articles were reviewed and extracted as follows: first author’s surname, publication year, country, ethnicity, testing method, median/mean age, disease stage, histology, relevant antibody information, the cut-off values of ALDH1, sample size, expression frequency of ALDH1, clinical features such as age, gender, smoking behavior, clinical stage, histological grade, histologic subtype, vascular invasion, lymph node metastasis, distal metastasis, and recurrence, and the prognostic data of multivariate Cox analysis such as OS, disease-specific survival (DSS), disease-free survival (DFS), and recurrence-free survival (RFS). Any disagreements on data were resolved by all authors’ discussion.

Statistical analysis

Data were analyzed by using Stata software, version 12.0 (Stata Corp., College Station, TX, USA). The combined odds ratios (ORs) and 95% CIs were used to assess the correlation between ALDH1 expression and the clinicopathological features, including age, gender, smoking behavior, clinical stage, histological grade, histologic subtype, vascular invasion, lymph node metastasis, distal metastasis, and recurrence. The combined HRs and their 95% CIs were employed to assess the association between ALDH1 expression and the prognosis using multivariate Cox analysis. The random-effects model was applied in the present meta-analysis. The statistical heterogeneity between studies was estimated by using Cochran’s Q statistic (22), a Q test of P value of less than 0.1 stood for substantial heterogeneity. When substantial heterogeneity was measured, sensitivity analyses were carried out by omitting an individual study to confirm the change of the re-calculated results and heterogeneity. The Egger’s test was employed to measure the possible publication bias (23).

Results

Study characteristic

The flowchart summarizing the process of the study selection is shown in . After carefully reviewing article titles, abstracts, and full text, final 13 eligible studies from 12 publications (18-20,24-32) met the inclusion criteria were included in this meta-analysis, including 2,407 patients with NSCLC. The included studies were published from 2009 to 2019 and were conducted in the USA, Austria, Iran, China, Korea, and Japan. Among these studies, 10 studies, including 1,925 NSCLC patients, evaluated the relationship of ALDH1 expression with the clinicopathological characteristics (18-20,24,25,27-29,31,32). Seven studies from six publications provided available HR with 95% CI of multivariate Cox analysis to evaluate the prognostic effect of ALDH1 expression (18-20,26,29,30), including 1,266 NSCLC patients. and list the main characteristics of the selected publications.
Figure 1

Flow diagram of the meta-analysis process. ALDH1, aldehyde dehydrogenase 1.

Table 1

Main characteristics of the eligible publications

First authorCountryAgeMethodStageHistologyAntibodySources of antibodyStainingCut-off valuesCancer N (E+ %)Clinical featuresMA-survival with HR
Jiang 2009USANAIHC1–4NSCLCanti-ALDH1 antibodySanta Cruz BiotechnologyCytoplasm>10%208 (22.1%)YesNA
Shien 2012JapanNAIHC3NSCLCanti-ALDH1 antibodyAbcam, Cambridge, UKNA> 10%30 (60%)YesNA
Dimou 2012USA66IF1–4NSCLCanti-ALDH1 antibodyDako, Carpinteria, CACytoplasm>AQUA score of 1,200134 (86.6%)NoDSS
Dimou 2012USA65IF1–4NSCLCanti-ALDH1 antibodyDako, Carpinteria, CACytoplasm>AQUA score of 1,200296 (84.5%)NoDSS
Okudela 2012Japan68IHC1ADanti-ALDH1 antibodyAbcam, Cambridge, UKCytoplasm/membrane≥85%177 (20.3%)YesDFS
Kirita 2013Japan67IHCNAADanti-ALDH1 antibodyclone 44ALDH; BD Bioscience, San Jose, CA, USACytoplasm/nucleiMedian107 (33.6%)YesNA
Zenke 2013Japan64IHC1–4NSCLCanti-ALDH1 antibodyclone 44/ALDH; BD BioscienceNAMedian52 (50%)NoDFS
Sterlacci 2014AustriaNAIHC1–4NSCLCanti-ALDH1 antibodyClone ab51028, AbcamCytoplasmMedian336 (31.8%)YesNA
Koriyama 2015Japan64IHC1–4ADanti-ALDH1 antibodyClone 44/ALDH, BD BiosciencesNA>50%87 (32.2%)YesNA
Roudi 2015IranNAIHCNANSCLCanti-ALDH1 antibodyab52492, Abcam, Cambridge, UKCytoplasmH-score of 27105 (22.9%)YesNA
Park 2016Korea64IHC1–4NSCLCanti-ALDH1 antibodyBD Biosciences, San Diego, CACytoplasm>total score of 100368 (57.3%)YesOS, DFS
Zhou 2016China58IHC1–3NSCLCanti-ALDH1 antibodyAbcam, Cambridge, MA, USACytoplasm≥ score 3240 (55.8%)YesOS
Koh 2019Korea64IHC1–3NSCLCanti-ALDH1 antibodyclone 44/ALDH, BD biosciencesCytoplasmH-score of 93.85267 (37.5%)YesOS, RFS

The study of Dimou 2012 et al. included two different cohorts. IHC, immunohistochemical; IF, immunofluorescence; AQUA, automated quantitative analysis; H-score, histochemical score; NSCLC, non-small cell lung cancer; AD, adenocarcinoma; NA, not applicable; N, the number of the study population; E+, positive expression; MA, multivariate Cox analysis; HR, hazard ratio; DSS, disease-specific survival; OS, overall survival; DFS, disease-free survival; RFS, recurrence-free survival.

Table S1

Detailed characteristics of the included studies with the clinicopathological variables

First authorCountryAgeStageHistologyAntibodySources of antibodyStainingCut-off values (IHC)Cancer, E+/total≥60 years, E+/total<60 years, E+/totalMale, E+/totalFemale, E+/totalSmoking, E+/totalNonsmoking, E+/totalStage 3-4, E+/totalStage 1-2, E+/totalGrade 3, E+/totalGrade 1-2, E+/totalAD, E+/totalSCC, E+/totalLymph node metastasis (yes), E+/totalLymph node metastasis (no), E+/totalDistal metastasis (yes), E+/totalDistal metastasis (no), E+/totalVascular invasion (yes), E+/totalVascular invasion (no), E+/totalRecurrence (yes), E+/totalRecurrence (no), E+/total
Jiang 2009USANA1–4NSCLCanti-ALDH1 antibodySanta Cruz BiotechnologyCytoplasm>10%46/20811/3335/1759/209/408/308/25
Shien 2012JapanNA3NSCLCanti-ALDH1 antibodyAbcam, Cambridge, UKNA> 10%18/308/1510/1513/215/915/223/813/175/13
Okudela 2012Japan681ADanti-ALDH1 antibodyAbcam, Cambridge, UKCytoplasm/membrane≥85%36/1776/1830/159
Kirita 2013Japan67NAADanti-ALDH1 antibodyclone 44ALDH; BD Bioscience, San Jose, CA, USACytoplasm/nucleiMedian36/10726/7410/3325/7211/3513/2123/8612/3524/7226/8010/27
Sterlacci 2014AustriaNA1–4NSCLCanti-ALDH1 antibodyClone ab51028, AbcamCytoplasmMedian107/33639/19345/111
Koriyama 2015Japan641–4ADanti-ALDH1 antibodyClone 44/ALDH, BD BiosciencesNA>50%28/8715/5413/3312/3416/5314/4114/466/1322/7420/678/20
Roudi 2015IranNANANSCLCanti-ALDH1 antibodyab52492, Abcam, Cambridge, UKCytoplasmH-score of 2724/1054/3020/629/4415/48
Park 2016Korea641–4NSCLCanti-ALDH1 antibodyBD Biosciences, San Diego, CACytoplasm>total score of 100211/36854/117157/25117/4790/179107/226104/14226/57185/311
Zhou 2016China581–3NSCLCanti-ALDH1 antibodyAbcam, Cambridge, MA, USACytoplasm≥ score 3134/24078/13956/10190/16044/8099/12035/12040/5094/19037/8097/160102/12432/116
Koh 2019Korea641–3NSCLCanti-ALDH1 antibodyclone 44/ALDH, BD biosciencesCytoplasmH-score of 93.85100/26773/18627/8165/16430/8424/7974/1819/1645/7846/17354/9438/11060/150

IHC, immunohistochemical; H-score, histochemical score; NSCLC, non-small cell lung cancer; AD, adenocarcinoma; SCC, squamous cell carcinoma; NA, not applicable; E+, positive expression.

Flow diagram of the meta-analysis process. ALDH1, aldehyde dehydrogenase 1. The study of Dimou 2012 et al. included two different cohorts. IHC, immunohistochemical; IF, immunofluorescence; AQUA, automated quantitative analysis; H-score, histochemical score; NSCLC, non-small cell lung cancer; AD, adenocarcinoma; NA, not applicable; N, the number of the study population; E+, positive expression; MA, multivariate Cox analysis; HR, hazard ratio; DSS, disease-specific survival; OS, overall survival; DFS, disease-free survival; RFS, recurrence-free survival.

Association of ALDH1 expression with clinicopathological features

As shown in , the relationships of ALDH1 expression with clinicopathological features of patients with NSCLC were summarized. ALDH1 expression was not correlated with age (two studies with 270 cases, ≥60 vs. <60 years: OR =0.96, 95% CI, 0.59–1.57, P=0.883), gender (five studies with 731 cases, male vs. female: OR =1.09, 95% CI, 0.79–1.50, P=0.617), and smoking behavior (three studies with 385 cases, smoking vs. nonsmoking: OR =1.27, 95% CI, 0.81–1.98, P=0.292) ().
Table 2

Summary of the pooled results with the clinicopathological variables

VariablesComparisonOR with 95% CIHeterogeneity (P)P valueStudiesCases
Age≥ 60 vs. < 60 years0.96 (0.59–1.57)0.4620.8832270
GenderMale vs. female1.09 (0.79–1.50)0.6950.6175731
Smoking behaviorSmoking vs. nonsmoking1.27 (0.81–1.98)0.4610.2923385
Clinical stageStage 3–4 vs. 1–21.55 (0.47–5.17)<0.0010.47351,163
Histological gradeGrade 3 vs. 1–21.16 (0.44–3.09)<0.0010.7635712
Lymph node metastasisPositive vs. negative2.66 (0.63–11.25)<0.0010.1834694
Distal metastasisPositive vs. negative1.30 (0.65–2.61)0.3770.4542194
RecurrenceYes vs. no2.82 (1.17–6.80)0.3620.0212207
Vascular invasionPositive vs. negative0.63 (0.41–0.98)0.8060.0403562
Histologic subtypeAD vs. SCC0.39 (0.30–0.51)0.298<0.00161,326

OR, odds ratio; CI, confidence interval; AD, adenocarcinoma; SCC, squamous cell carcinoma.

Figure 2

Forest plot for the association between ALDH1 expression and age (≥ 60 vs. < 60 years), gender (male vs. female), and smoking behavior (smoking vs. nonsmoking). ALDH1, aldehyde dehydrogenase 1; OR, odds ratio; CI, confidence interval.

OR, odds ratio; CI, confidence interval; AD, adenocarcinoma; SCC, squamous cell carcinoma. Forest plot for the association between ALDH1 expression and age (≥ 60 vs. < 60 years), gender (male vs. female), and smoking behavior (smoking vs. nonsmoking). ALDH1, aldehyde dehydrogenase 1; OR, odds ratio; CI, confidence interval. No relationship was found between ALDH1 expression and clinical stage (five studies with 1,163 cases, stage 3–4 vs. 1–2: OR =1.55, 95% CI, 0.47–5.17, P=0.473) and histological grade (five studies with 712 cases, grade 3 vs. 1–2: OR =1.16, 95% CI, 0.44–3.09, P=0.763) ().
Figure 3

Forest plot for the association between ALDH1 expression and clinical stage (stage 3–4 vs. 1–2) and histological grade (grade 3 vs. 1–2). ALDH1, aldehyde dehydrogenase 1; OR, odds ratio; CI, confidence interval.

Forest plot for the association between ALDH1 expression and clinical stage (stage 3–4 vs. 1–2) and histological grade (grade 3 vs. 1–2). ALDH1, aldehyde dehydrogenase 1; OR, odds ratio; CI, confidence interval. No association was found between ALDH1 expression and lymph node metastasis (four studies with 694 cases, positive vs. negative: OR =2.66, 95% CI, 0.63–11.25, P=0.183) and distal metastasis (two studies with 194 cases, positive vs. negative: OR =1.30, 95% CI, 0.65–2.61, P=0.454) (). But ALDH1 expression was negatively correlated with vascular invasion (three studies with 562 cases, positive vs. negative: OR =0.63, 95% CI, 0.41–0.98, P=0.04) ().
Figure 4

Forest plot for the association between ALDH1 expression and lymph node metastasis (positive vs. negative), distal metastasis (positive vs. negative), and vascular invasion (positive vs. negative). ALDH1, aldehyde dehydrogenase 1; OR, odds ratio; CI, confidence interval.

Forest plot for the association between ALDH1 expression and lymph node metastasis (positive vs. negative), distal metastasis (positive vs. negative), and vascular invasion (positive vs. negative). ALDH1, aldehyde dehydrogenase 1; OR, odds ratio; CI, confidence interval. ALDH1 expression was associated with histologic subtype (six studies with 1,326 cases, AD vs. SCC: OR =0.39, 95% CI, 0.30–0.51, P<0.001) and recurrence (two studies with 207 cases, yes vs. no: OR =2.82, 95% CI, 1.17–6.80, P=0.021) ().
Figure 5

Forest plot for the association between ALDH1 expression and recurrence (yes vs. no) and histologic subtype (AD vs. SCC). ALDH1, aldehyde dehydrogenase 1; AD, adenocarcinoma; SCC, squamous cell carcinoma; OR, odds ratio; CI, confidence interval.

Forest plot for the association between ALDH1 expression and recurrence (yes vs. no) and histologic subtype (AD vs. SCC). ALDH1, aldehyde dehydrogenase 1; AD, adenocarcinoma; SCC, squamous cell carcinoma; OR, odds ratio; CI, confidence interval.

Prognostic impact of ALDH1 expression on NSCLC and AD subtype

The results using multivariate Cox survival analysis were summarized in . ALDH1 expression was correlated with a favorable disease-specific survival (DSS) of NSCLC (two studies with 398 cases, HR =0.47, 95% CI, 0.22–0.98, P=0.043), but was not associated with OS (three studies with 639 cases, HR =0.89, 95% CI, 0.44–1.79, P=0.736) and DFS (three studies with 455 cases, HR =1.63, 95% CI, 0.59–4.54, P=0.347) in NSCLC ().
Table 3

Summary of the pooled results with the prognosis using multivariate Cox analysis

FactorsHR with 95% CIP valuesStudiesCases
In NSCLC
   DSS0.47 (0.22–0.98)0.0432398
   OS0.89 (0.44–1.79)0.7363639
   DFS1.63 (0.59–4.54)0.3473455
In AD
   OS0.64 (0.33–1.24)0.1842399
   DFS1.47 (0.31–6.87)0.6282403
   RFS0.50 (0.27–0.95)0.0331173

HR, hazard ratio; CI, confidence interval; NSCLC, non-small cell lung cancer; AD, adenocarcinoma; DSS, disease-specific survival; OS, overall survival; DFS, disease-free survival; RFS, recurrence-free survival.

Figure 6

Forest plot for the association between ALDH1 expression the prognosis using multivariate Cox analysis in NSCLC. ALDH1, aldehyde dehydrogenase 1; NSCLC, non-small cell lung cancer; HR, hazard ratio; CI, confidence interval.

HR, hazard ratio; CI, confidence interval; NSCLC, non-small cell lung cancer; AD, adenocarcinoma; DSS, disease-specific survival; OS, overall survival; DFS, disease-free survival; RFS, recurrence-free survival. Forest plot for the association between ALDH1 expression the prognosis using multivariate Cox analysis in NSCLC. ALDH1, aldehyde dehydrogenase 1; NSCLC, non-small cell lung cancer; HR, hazard ratio; CI, confidence interval. In AD, the results showed that ALDH1 expression was not associated with OS (HR =0.64, 95% CI, 0.33–1.24, P=0.184) and DFS (HR =1.47, 95% CI, 0.31–6.87, P=0.628), but was slightly correlated with a favorable recurrence-free survival (RFS) among one study with 173 AD patients (HR =0.50, 95% CI, 0.27–0.95, P=0.033) ().
Figure 7

Forest plot for the association between ALDH1 expression the prognosis using multivariate Cox analysis in AD. ALDH1, aldehyde dehydrogenase 1; AD, adenocarcinoma; HR, hazard ratio; CI, confidence interval; OS, overall survival; DFS, disease-free survival; RFS, recurrence-free survival.

Forest plot for the association between ALDH1 expression the prognosis using multivariate Cox analysis in AD. ALDH1, aldehyde dehydrogenase 1; AD, adenocarcinoma; HR, hazard ratio; CI, confidence interval; OS, overall survival; DFS, disease-free survival; RFS, recurrence-free survival.

Heterogeneity analysis

The results between ALDH1 expression and clinical stage, histological grade, and lymph node metastasis were found to have significant heterogeneity (all P<0.001). We conducted sensitivity analyses to estimate the stability of the pooled results. When we removed these two studies (Kirita 2013 et al. and Zhou 2016 et al.) (19,27), and re-calculated the result of the remaining studies, which was still not significant between ALDH1 expression and lymph node metastasis (OR =0.87, 95% CI, 0.56–1.36, P=0.551), with no heterogeneity (P=0.445). When two studies of Jiang 2009 et al. and Zhou 2016 et al. (19,32) were removed between ALDH1 expression and clinical stage and histological grade. The re-calculated OR was 0.65 (95% CI, 0.42–0.99, P=0.043) between ALDH1 expression and clinical stage, with no heterogeneity (P=0.222), and the re-calculated OR was 0.57 (95% CI, 0.34–0.94, P=0.029) between ALDH1 expression and advanced histological grade, with no heterogeneity (P=0.423).

Publication bias

No potential publication bias was detected between ALDH1 expression and gender, clinical stage, histological grade, and histologic subtype (all P values > 0.1) ().
Figure S1

Publication bias using Egger’s test.

Discussion

CSCs are reported to be correlated with tumor recurrence and resistance to chemotherapy and radiation (7,8). Targeting CSCs may become promising and efficient targeting strategies for anticancer therapy (33). ALDH1 represents cancer stem-like properties. ALDH1 has been frequently used as a CSC marker in a variety of human cancers (9,14). ALDH1 plays a crucial role in regulating retinoid metabolism, cell differentiation, proliferation, migration and invasiveness, colony formation, and EMT (10-13,34). ALDH1 expression can be frequently detected in cancer and is related to the prognosis of some cancers such as ovarian, esophageal, and bladder carcinomas (13,16,17). In recent years, the expression of ALDH1 is also frequently found in NSCLC (18,25,28,30). However, the relationships of the expression of ALDH1 with clinicopathological characteristics and the prognostic significance in patients with NSCLC are still conflicting (18-20,25,32). The current meta-analysis involving 13 eligible studies with 2,407 patients was systematically performed to estimate the clinical, pathological, and prognostic effects of ALDH1 on NSCLC. We evaluated the relationship of ALDH1 expression with the clinicopathological characteristics of NSCLC patients. Our results demonstrated that no relationships between ALDH1 expression and age, gender, and smoking behavior were found, which were in accordance with the previous studies on age (19,31), gender (18,19,25,27,31), and smoking behavior (18,27,31). No association is observed between ALDH1 expression and lymphovascular invasion in breast cancer (35). ALDH1 expression is positively correlated with vascular invasion in some cancers such as colorectal cancer (36) and clear cell renal cell carcinoma (37). We demonstrated a negative association between ALDH1 expression and vascular invasion in NSCLC, which was consistent with a similar result regarding a negative correlation of ALDH1 expression with lymphovascular invasion in hepatocellular carcinoma (38). These results suggest that different status of ALDH1 expression may impact the presence of vascular invasion based on different cancer types. We found that ALDH1 expression was slightly correlated with recurrence (P=0.021) among a small study population with 207 cases. But Okudela 2012 et al. reported that the difference was not statistically significant between ALDH1 expression and recurrence in 177 AD cases (29). Koh 2019 et al. reported that ALDH1 expression was slightly associated with a favorable RFS (P=0.033) in 173 AD cases (18). Therefore, the current results on recurrence or RFS should be interpreted with caution, as only one study or two studies with small sample sizes were included. More studies with larger sample sizes are very necessary to further validate the association of ALDH1 expression with recurrence or RFS. ALDH1 expression was significantly lower in AD than in SCC (AD vs. SCC: OR =0.39, P<0.001), which was in accordance with the previous publications (18-20,28). ALDH1 expression was not associated with OS and DFS in AD. Additionally, data from the KM plotter database (http://kmplot.com/analysis/index.php?p=background) (39) showed that ALDH1 low expression was associated with poor progression-free survival (PFS) in AD (HR =1.69, P=0.0011), but was not correlated with PFS in SCC (P=0.77) (). These results suggested that ALDH1 may play a more key role in the pathogenesis of AD.
Figure S2

KM plotter of ALDH1 expression with progression-free survival (PFS) in adenocarcinoma (AD) and squamous cell carcinoma (SCC).

ALDH1 expression was not correlated with clinical stage, histological grade, lymph node metastasis, and distal metastasis. Additionally, substantial heterogeneity was observed between ALDH1 and clinical stage, histological grade, and lymph node metastasis (P<0.001). Thus, sensitivity analyses were conducted to evaluate the stability of the pooled results. Sensitivity analysis revealed that the association of ALDH1 with lymph node metastasis was still not significant. When we removed these two studies of Jiang 2009 et al. and Zhou 2016 et al. (19,32) and the re-calculated results showed no heterogeneity (P>0.1), but we found that ALDH1 expression was negatively correlated with advanced clinical stage (OR =0.65, P=0.043) and histological grade (OR =0.57, P=0.029) based on sensitivity analyses. Although the expression of ALDH1 was selected using an anti-ALDH1 antibody to reduce the selection bias, the potential reasons for heterogeneity were still not clear. Possibly due to the use of unavoidable sources of anti-ALDH1 antibody and different cut-off values of ALDH1 staining from the included studies, which might cause the potential sources of the observed heterogeneity. We finally evaluated whether ALDH1 expression was related to the prognosis of NSCLC using multivariate Cox survival analysis. Data demonstrated that ALDH1 expression was not correlated with OS and DFS, but was associated with improved DSS, which suggested that ALDH1 may be an independent favorable prognostic biomarker for DSS. We found ALDH1 expression may be negatively associated with advanced clinical stage, histological grade from sensitivity analyses, and vascular invasion, suggesting that ALDH1 expression may be correlated with favorable prognostic clinicopathological characteristics, which may further impact the prognosis and were consistent with favorable DSS. More studies are strongly needed to further confirm our findings in the future. The present meta-analysis presented certain limitations. First, the Caucasian and Asian populations were mainly included, other ethnic groups, such as Africans are lacking. Second, the cut-off values and sources of the anti-ALDH1 antibody varied across many studies, which should be done based on a uniform standard in the future. Third, sensitivity analyses showed that the results of ALDH1 expression with clinical stage and histological grade were not stable; additional studies with large sample sizes are essential to further determine the results. Fourth, sample sizes were relatively small between ALDH1 expression and some clinicopathological variables such as age, smoking behavior, distal metastasis, vascular invasion, recurrence. Finally, based on the use of multivariate Cox analysis, more studies are necessary to further validate the prognostic significance of ALDH1 expression on NSCLC patients in the future. In conclusion, the present meta-analysis demonstrated no association between ALDH1 expression and age, gender, smoking behavior, clinical stage, histological grade, lymph node metastasis, and distal metastasis, but showed a negative correlation of ALDH1 expression with vascular invasion. ALDH1 expression presented a lower frequency in AD. ALDH1 expression was not related to OS and DFS, but was correlated with favorable DSS in NSCLC patients. In the future, more studies with larger sample sizes are needed to obtain definitive conclusions regarding the prognostic effect of ALDH1 in NSCLC.
  39 in total

1.  Aldehyde dehydrogenase 1 (ALDH1) expression is associated with a poor prognosis of bladder cancer.

Authors:  Ning Xu; Ming-Ming Shao; Hai-Tao Zhang; Mei-Shan Jin; Yi Dong; Ren-Jie Ou; Hai-Ming Wang; Ai-Ping Shi
Journal:  Cancer Epidemiol       Date:  2015-04-03       Impact factor: 2.984

2.  Chemosensitizing effect of honokiol in oral carcinoma stem cells via regulation of IL-6/Stat3 signaling.

Authors:  Min-Te Chang; Shiao-Pieng Lee; Chih-Yuan Fang; Pei-Ling Hsieh; Yi-Wen Liao; Ming-Yi Lu; Lo-Lin Tsai; Cheng-Chia Yu; Chia-Ming Liu
Journal:  Environ Toxicol       Date:  2018-08-04       Impact factor: 4.119

3.  Aldehyde dehydrogenase 1 expression correlates with clinicopathologic features of patients with breast cancer: a meta-analysis.

Authors:  Jin-Fang Liu; Pu Xia; Wen-Qiang Hu; Dan Wang; Xiao-Yan Xu
Journal:  Int J Clin Exp Med       Date:  2015-06-15

4.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation.

Authors:  Larissa Shamseer; David Moher; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart
Journal:  BMJ       Date:  2015-01-02

5.  Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression.

Authors:  Jack Bowden; George Davey Smith; Stephen Burgess
Journal:  Int J Epidemiol       Date:  2015-06-06       Impact factor: 7.196

6.  ALDH1A1-overexpressing cells are differentiated cells but not cancer stem or progenitor cells in human hepatocellular carcinoma.

Authors:  Kaori Tanaka; Hiroyuki Tomita; Kenji Hisamatsu; Takayuki Nakashima; Yuichiro Hatano; Yoshiyuki Sasaki; Shinji Osada; Takuji Tanaka; Tatsuhiko Miyazaki; Kazuhiro Yoshida; Akira Hara
Journal:  Oncotarget       Date:  2015-09-22

7.  Prognostic value of ALDH1 and Nestin in advanced cancer: a systematic meta-analysis with trial sequential analysis.

Authors:  Susu Han; Tao Huang; Xing Wu; Xiyu Wang; Wen Li; Shanshan Liu; Wei Yang; Qi Shi; Hongjia Li; Kunhe Shi; Fenggang Hou
Journal:  Ther Adv Med Oncol       Date:  2019-02-25       Impact factor: 8.168

8.  Serum deprivation-response protein regulates aldehyde dehydrogenase 1 through integrin-linked kinase signaling in endometrioid carcinoma cells.

Authors:  Shinichiro Tahara; Satoshi Nojima; Kenji Ohshima; Yumiko Hori; Masako Kurashige; Naoki Wada; Yuichi Motoyama; Daisuke Okuzaki; Jun-Ichiro Ikeda; Eiichi Morii
Journal:  Cancer Sci       Date:  2019-04-11       Impact factor: 6.716

9.  Identification of biological properties of intralymphatic tumor related to the development of lymph node metastasis in lung adenocarcinoma.

Authors:  Keisuke Kirita; Genichiro Ishii; Rie Matsuwaki; Yuki Matsumura; Shigeki Umemura; Shingo Matsumoto; Kiyotaka Yoh; Seiji Niho; Koichi Goto; Hironobu Ohmatsu; Yuichiro Ohe; Kanji Nagai; Atsushi Ochiai
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

Review 10.  Cancer stem cells (CSCs), cervical CSCs and targeted therapies.

Authors:  Ruixia Huang; Einar K Rofstad
Journal:  Oncotarget       Date:  2017-05-23
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