Introduction
Lung cancer stands as the most prevalent cancer type and remains the foremost contributor to cancer-related fatalities worldwide. It was estimated that 2.2 million new patients were diagnosed with lung cancer and 1.8 million deaths died of lung cancer according to the GLOBOCAN 2020 (Sung et al.
2021). Lung cancer can be classified into four major histological types, lung adenocarcinoma (LUAD), lung squamous cell carcinoma, large cell carcinoma, and small cell carcinoma. Among all the histological types of lung cancer, LUAD has emerged as the dominant pathological subtype, representing >40% of lung cancer cases in numerous countries (Lortet-Tieulent et al.
2014; Meza et al.
2015; Denton et al.
2016; Shi et al.
2019; Dong et al.
2021a). Treatment strategies for lung cancer include surgery, chemotherapy, radiotherapy, target therapy, and immunotherapy. However, a substantial portion of patients experience recurrence or metastasis following comprehensive treatment, with a bleak prognosis. In fact, among individuals diagnosed with lung cancer between 2010 and 2014, the 5-year survival rate ranges from 10 to 20% in most nations (Allemani et al.
2018).
Currently, radiotherapy occupies a prominent role as one of the primary treatment modalities, applicable across all stages of lung cancer, serving both curative and palliative purposes (Bezjak et al.
2015; Brown et al.
2019). In the case of early-stage disease, stereotactic ablative radiotherapy has emerged as a standard treatment option for patients who are not suitable candidates for surgery (Vansteenkiste et al.
2013). Concurrent chemoradiotherapy stands as the standard of care for patients with inoperable locally advanced lesions (Auperin et al.
2010). Furthermore, accumulating evidence also shows the survival benefits of radiotherapy for asymptomatic or limited metastatic cases (Palma et al.
2019). Notably, palliative radiotherapy is also deployed to enhance the quality of life for individuals with incurable lung cancer (Stevens et al.
2015). However, a subset of tumor cells manages to evade the antitumor effects of radiotherapy, resulting in the emergence of a more aggressive cancer phenotype. This phenomenon curtails the efficacy of subsequent treatments (Carlos-Reyes et al.
2021). Thus, it becomes imperative to unravel the molecular mechanisms underpinning the intrinsic or acquired radioresistance in lung cancer, which will provide potential therapeutic targets for the effective management of lung cancer.
Core 1 β1, 3-galactosyltransferase 1 (C1GALT1), which is also called T-synthase, is an important enzyme responsible for transferring galactose (Gal) from UDP-galactose to GalNAcα1-Ser/Thr structure (Thomsen-Nouveau antigen, Tn antigen), facilitating the synthesis of core 1
O-glycan structure (Galβ1-3GalNAcα1-Ser/Thr, T antigen) which is the main modification of the Tn antigen(Ju et al.
2002a;
b; Lin et al.
2018). This enzymatic process plays a critical role in GalNAc-type
O-glycosylation (Tarp and Clausen
2008). The process of
O-glycosylation begins with the formation of the Tn antigen catalyzed by GalNAc aminotransferases peptide (Ju and Cummings
2002; Ju et al.
2011). Besides core 1
O-glycan structure, Tn antigen can also be catalyzed by β1,3-
N-acetylglucosaminyltransferase 6 to form core 3 structure (Tran and Ten
2013). Subsequently, core 1 and core 3 structures are further modified by β1,6-
N-acetylglucosaminyltransferase to form core 2 and core 4 structures, respectively. These core structures are further extended by Gal and GlcNAc and often terminated by sulfate groups, sialic acid, GalNAc, and/or Fuc, resulting in the formation of
O-glycans that can vary significantly in different cells despite sharing the same protein sequence (Arike and Hansson
2016).
O-Glycosylation is often referred to as mucin-type glycosylation which is critical for mucin function as more than 80% of the mass of mucins consists of
O-glycans (Arike and Hansson
2016). The aberrant expressions of C1GALT1, mucins, and truncated core 1 based structures (T antigen and Tn antigen) are commonly observed in a variety of human cancers (Fu et al.
2016; Hanson and Hollingsworth
2016; Jiang et al.
2018a,
b; Xia et al.
2022).
C1GALT1 has important functions in oncogenesis and participates in a range of pathological processes (Sun et al.
2021; Xia et al.
2022) in a tissue-specific manner. Mice models with specific knockout of C1GALT1 promote spontaneous tumors development (Bergstrom et al.
2016; Chugh et al.
2018; Liu et al.
2020). In pancreatic ductal adenocarcinoma (PDAC), neuroblastoma, and endometrial cancer, reduced C1GALT1 expression was associated with more aggressive phenotype of tumor (Chugh et al.
2018; Lin et al.
2022; Montero-Calle et al.
2023). On the contrary, more studies have shown that elevated expression of C1GALT1 has been observed in a variety of malignant tumors, including esophageal cancer (Wang et al.
2018), gastric cancer (Dong et al.
2021a), colon cancer (Hung et al.
2014a,
b), hepatocellular carcinoma (Wu et al.
2013), breast cancer (Chou et al.
2015), prostate cancer (Tzeng et al.
2018), head and neck cancer (Lin et al.
2018), PDAC (Kuo et al.
2021), and ovarian cancer (Chou et al.
2017). This upregulation of C1GALT1 is associated with the promotion of various malignant cellular phenotypes, such as enhanced cell adhesion, proliferation, migration, invasion, and treatment sensitivity, along with a reduction in immune response and surveillance, ultimately leading to a poor prognosis for cancer patients through multifactorial mechanisms (Xia et al.
2022; Wan et al.
2023). Furthermore, two reports showed that C1GALT1 could induce radioresistance in human esophageal cancer and laryngeal cancer cells through the modification of β1-integrin glycosylation (Dong et al.
2018; Zhang et al.
2018).
A recent study has shown that elevated C1GALT1 expression is associated with poor prognosis and contributes to cancer cell proliferation, migration, and invasion through upregulating RAC1 in LUAD (Dong et al.
2021b). However, whether C1GALT1 is involved in regulating radiosensitivity in LUAD remains unknown. We hypothesized that the overexpression of C1GALT1, identified as a negative indicator for patients’ prognosis in most cancer types, may alter tumor radiosensitivity in LUAD, thereby having critical consequences in cancer progression. The present study aimed to assess the clinical significance of C1GALT1 in LUAD using a combination of public databases and clinical tumor samples and found that high C1GALT1 expression in LUAD tissues was associated with lymph node metastasis and poor prognosis. Single-cell data enrichment analysis strongly suggested that C1GALT1 expression correlated with epithelial–mesenchymal transition (EMT) in LUAD. The present investigation revealed that radiation exposure could induce the upregulation of C1GALT1, N-cadherin and vimentin but reduce the expression of E-cadherin in A549 and H1299 cells. Furthermore, we confirmed that C1GALT1 could induce the radioresistance of A549 and H1299 cells by promoting DNA repair, increasing cell proliferation, inducing G
2/M phase arrest, activating EMT, and inhibiting apoptosis, suggesting that C1GALT1 is a novel regulator of radiosensitivity in LUAD.
Materials and methods
Gene expression data and clinical information of patients with LUAD were collected from The Cancer Genome Atlas (TCGA) database (available at
https://www.cancer.gov/tcga), and the Gene Expression Omnibus (GEO) database (available at
https://www.ncbi.nlm.nih.gov/geo/). A total of seven GEO databases (GSE85716, GSE7670, GSE85841, GSE130779, GSE146460, GSE115002, and GSE176348) were utilized to analyze the expression of C1GALT1. The RNA-seq data from TCGA were analyzed using the EdgeR package (version 3.38) in the R program (version 3.6.3) (Robinson et al.
2010). Data were downloaded from the GEO database and values of different gene expressions were log
2 transformed and normalized through quantile normalization for individual GEO databases. GEO databases from different platforms were pretreated with batch correction and normalization. Differential expression analysis was conducted using the limma package (version 3.22) in the R program (Ritchie et al.
2015). GSE68465 and TCGA data were further used for survival analysis.
In addition, single-cell gene expression profiles of tumor cell-enriched patient-derived xenograft cells (LC-PT-45,
n = 34 and LC-Pt-45-Re,
n = 43) from patients with LUAD were downloaded from GSE69405. The most significant genes correlated with C1GALT1 were used for enrichment analysis, including Gene Ontology (GO) molecular functions, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and hallmark enrichment, performed using Metascape (
https://metascape.org/). The correlation between C1GALT1 expression and scores of 14 functional states (including stemness, invasion, metastasis, proliferation, EMT, angiogenesis, apoptosis, cell cycle, differentiation, DNA damage, DNA repair, hypoxia, inflammation, and quiescence) was further analyzed using Cancer Single-cell State Atlas (CancerSEA) database (
http://biocc.hrbmu.edu.cn/CancerSEA/).
Tissue microarray
The formalin-fixed and paraffin-embedded LUAD tissue microarray (HLugA180Su07) was obtained from Shanghai Outdo Biotech Co., Ltd. This tissue array comprises 82 pairs of LUAD tissues and their adjacent normal lung tissues, along with an additional 16 LUAD tissues. The specimens were collected between July 2004 and June 2009, with the last follow-up visit performed in August 2014. Survival information and clinical records were reviewed.
Immunohistochemical (IHC) staining
IHC staining was performed using an immunohistochemistry kit (Beijing Zhongshan Golden Bridge Biotechnology Co., Ltd.) following the manufacturer’s instructions. A rabbit polyclonal primary antibody against C1GALT1 (HPA011294; Atlas Antibodies) was employed. After titrated the dilution, we used an antibody dilution of 1:100 for IHC. Images were captured using Aperio Digital Pathology Slide Scanners (Leica Microsystems, Inc.). The IHC staining evaluation of C1GALT1 was conducted independently by two pathologists, and the stain intensity was scored as follows: 0 (negative); 1 (weak); 2 (moderate); and 3 (strong). High expression of C1GALT1 was defined as a score of 3 in IHC staining, while low expression of C1GALT1 was defined as a score of <3 in IHC staining.
Cell lines and cell culture
The human lung cancer cell lines A549 and H1299 were purchased from Procell Life Science & Technology Co., Ltd (Wuhan, China) and cultured in DMEM (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% fetal bovine serum (Hyclone; Cytiva) at 37 °C in a 5% CO2 atmosphere.
Transfection and plasmid constructs
The human full-length C1GALT1-overexpressing commercial and empty plasmids were purchased from Shanghai Genechem Co., Ltd. Short hairpin (sh)RNAs targeting C1GALT1, along with a scramble shRNA plasmid serving as a negative control, were designed and obtained from Shanghai Genechem Co., Ltd. The sequences for the shRNAs were as follows: shRNA#1, 5′-GCGTTGTAACAAAGTGTTGTT-3′; shRNA#2, 5′-CCTACCTTAC CTGAACGTATA-3′; and shRNA#3, 5′-GCCTTATGTAAAGCAGGGCTA-3′. The scramble sequence of shRNA was 5′-TTCTCCGAACGTGTCACGT-3′. Cell transfection was carried out using Lipo8000 Transfection Reagent (Beyotime Institute of Biotechnology) following the manufacturer’s instructions.
At 24 h after transfection with various plasmids, A549 and H1299 cells were digested using trypsin and plated into 12-well plates at a density of 200 cells/well. After an overnight culturing, the cells were exposed to a radiation dose of 2 Gy using a medical linear accelerator (Varian Medical Systems, Inc.) at a rate of 2 Gy/min. After 14 days of irradiation, the cells were fixed using 100% methanol and subsequently stained with 0.1% crystal violet (Sigma-Aldrich; Merck KGaA). The number of colonies containing >50 cells was then counted and recorded.
Cell cycle analysis
A549 and H1299 cells were initially seeded in six-well plates at a density of 1 × 106 cells/well. Subsequently, cells were transfected with various plasmids. After 24 h of transfection, the cells were exposed to a radiation dose of 2 Gy and then cultured for an additional 24 h before being harvested. For cell cycle analysis, the cells were fixed using 80% ice-cold ethanol and stained with PI/RNase staining buffer solution (BD Biosciences). Data were acquired using DxFLEX flow cytometry (Berkman Coulter, Inc.) and analyzed using ModFit LT software (Version 4.0, Verity Software House, Inc.).
Apoptosis analysis
Cell apoptosis was analyzed using the Annexin V-FITC/PI apoptosis detection kit (A211; Vazyme Biotechnology Co., Ltd). Briefly, A549 and H1299 cells including their supernatants were collected 48 h after transfection and centrifuged followed by washing three times with PBS. Then the cells were stained using apoptosis detection kit according to the manufacturer’s instructions. Cell apoptosis was analyzed using DxFLEX flow cytometry using CytExpert software (Berkman Coulter, Inc.).
Gamma-H2A histone family member X (γ-H2AX) immunofluorescence assay.
A549 or H1299 cells transfected with either overexpression or shRNA plasmids were plated on glass coverslips in a 24-well plate 24 h after transfection. After 48 h transfection, cells were irradiated at 6 Gy. After 4 h of irradiation, cells were fixed for DNA damage assay using DNA Damage Assay Kit by γ-H2AX immunofluorescence (Beyotime Institute of Biotechnology) according to the manufacturer’s instruction. Images were captured using a fluorescence microscope at 400x. The ratio of cells with >10 γ-H2AX foci (red fluorescence) was then calculated.
5-Ethynyl-2′-deoxyuridine (EdU) assay
BeyoClick™ EdU-594 cell proliferation detection kit (Beyotime Institute of Biotechnology) was used to assess the proliferation of lung cancer cells (A549 and H1299) transfected with either overexpression or shRNA plasmids, according to the manufacturer’s protocol. Images were captured using a fluorescence microscope (Olympus Corporation) at 100x. The ratio of EdU positive cells (red fluorescence) to Hoechst33342 positive cells (blue fluorescence) per well was further analyzed.
Western blot
Total protein was extracted from cells 72 h after transfection or 48 h after different doses irradiation using RIPA lysis buffer (Beyotime Institute of Biotechnology). Protein concentrations were determined using an enhanced BCA protein assay kit (Beyotime Institute of Biotechnology), and a total of 20 μg protein was loaded onto 10% SDS-PAGE gels. The separated proteins were then transferred onto 0.2 µm PVDF membranes (Roche Applied Science). Following blocking with 5% skimmed milk for 1 h at room temperature, the membranes were incubated with primary antibodies overnight at 4 °C. The primary antibodies used in the present study included C1GALT1 (1:5000; ab237734; Abcam), E-cadherin (1:5000; ab40772; Abcam), N-cadherin (1:5000; ab76011; Abcam), vimentin (1:5000, ab92547; Abcam), and GADPH (1:5000, ab9485; Abcam). Subsequently, the membranes were incubated with anti-rabbit secondary antibody (1:20,000; 7074P2; Cell Signaling Technology) conjugated with horseradish peroxidase for 1 h at room temperature. Protein bands were detected using Pierce ECL reagents (Thermo Fisher Scientific, Inc.) and visualized with a Tanon-5200 imaging system (Tanon Science and Technology Co., Ltd.).
Statistical analysis
Data analysis was performed using SPSS 13.0 (SPSS, Inc.) statistical software, and Kaplan–Meier overall survival curves were generated using GraphPad Prism (version 8.3). Wilcoxon rank sum test was used to determine the difference of C1GALT1 IHC scores between cancer and adjacent tissues. The data are presented as means ± standard deviation (SD) and were analyzed through Student’s t test. Overall survival difference according to C1GALT1 expression was determined using log-rank test. Multivariable Cox proportional hazards mode analysis was used to identify predictors of overall survival. P < 0.05 was considered to indicate a statistically significant difference. All experiments were performed with technical triplicates.
Discussion
The present study revealed that high expression of C1GALT1 in LUAD is associated with lymph node metastasis and poor prognosis. In addition, overexpression of C1GALT1 reduces the radiosensitivity of A549 and H1299 cells to radiation, while inhibition of C1GALT1 expression can reverse the radioresistance of these cancer cells. Mechanistically, C1GALT1 plays a protective role against radiation-induced DNA damage, promotes cell proliferation, inhibits apoptosis, induces radiation-induced G2/M phase arrest, upregulates vimentin and N-cadherin expressions, and downregulates E-cadherin expression. These findings collectively suggest that elevated C1GALT1 expression contributes to the radioresistance of LUAD possibly by affecting DNA repair, cell proliferation, cell cycle regulation, and EMT.
Unlike the lung squamous cell carcinoma, LUAD is recognized for its significant heterogeneity in both behavior and biological characteristics. Early in 2011, a new classification system using comprehensive histologic subtyping to define the predominant pattern (lepidic, acinar, papillary, micropapillary, or solid) for invasive LUAD was proposed by the International Association for the Study of Lung Cancer (IASLC), the American Thoracic Society (ATS), and the European Respiratory Society (ERS) (Travis et al.
2011). This classification system was then adopted by the World Health Organization (WHO) in 2015 and updated specifically for invasive nonmucinous LUAD in 2021(Nicholson et al.
2022). In nonmucinous LUAD, multiple independent cohorts have demonstrated that micropapillary/solid predominant adenocarcinomas carry a higher risk of recurrence and disease-specific death compared to those predominantly composed of lepidic/acinar/papillary structures (Yoshizawa et al.
2011,
2013; Warth et al.
2012; Gu et al.
2013; Hung et al.
2013; Hung et al.
2014a,
b). Furthermore, in the eighth edition of the TNM staging system, invasive size was proposed as an alternative to total tumor size for the T descriptor of nonmucinous LUAD because utilizing invasive size might prevent the overestimation of staging that may occur when determined based on total tumor size (Yoshizawa et al.
2011; Tsutani et al.
2013; Travis et al.
2016; Kameda et al.
2018). Compared to total tumor size, employing invasive size for the T descriptor demonstrated enhanced prognostic discrimination in predicting recurrence by identifying a larger proportion of downstaged patients with improved prognosis in early-stage nonmucinous LUAD(Kameda et al.
2018). Therefore, comprehending the molecular mechanisms that provide valuable insights into the malignant phenotype of LUAD is crucial for formulating personalized treatment strategies in patients with this type of cancer.
At present, the role of C1GALT1 can be complex and context-dependent, leading to differing effects observed in various studies and cancer types (Chugh et al.
2018; Kuo et al.
2021; Lin et al.
2022). In mice models lacking intestinal epithelial core 1
O-glycans (IEC C1GALT1
−/− mice) or gastric epithelial
O-glycans (GEC C1galt1
−/− mice), spontaneous colitis and gastritis, as well as gastric or colon tumors, were developed, respectively (Fu et al.
2011; Bergstrom et al.
2016; Liu et al.
2020). Pancreas-specific knockout of C1GALT1 in the Kras
G12D/+, Trp53
R172H/+, Pdx-1-Cre (KPC) model of PDAC promoted early tumors and metastasis (Chugh et al.
2018). These results suggested that the truncated form of
O-glycan mediated by C1GALT1 knock out was closely associated with tumor development and progression. In PDAC, neuroblastoma, as well as endometrial cancer, the expression of C1GALT1 was significantly decreased in poorly differentiated samples compared to well-differentiated samples (Chugh et al.
2018; Lin et al.
2022; Montero-Calle et al.
2023). In addition, reduced C1GALT1 expression was associated with improved survival of neuroblastoma patients (Lin et al.
2022). However, in the study conducted by Kuo et al. (
2021) with PDAC, overexpressed C1GALT1 in PDAC was associated with poor disease-free and overall survival, and C1GALT1 knockdown suppressed aggressiveness and increased gemcitabine sensitivity of PDAC cells, suggesting that the exact function of C1GALT1 in PDAC may require further investigation. In most other cancers, aberrantly high expression of C1GALT1 has been found, and it is generally considered an oncogene (Sun et al.
2021). C1GALT1 can promote malignant behaviors of cancer cells, including proliferation, migration, invasion, metastasis, tumor stem cells, radiation resistance, chemotherapeutic drug sensitivity (Wu et al.
2013; Hung et al.
2014a,
b; Liu et al.
2014; Chou et al.
20152017; Lin et al.
2018; Dong et al.
2018; Zhang et al.
2018; Kuo et al.
2021), while also reducing immune response and surveillance (Wan et al.
2023). Wan et al. found that inhibition of C1GALT1 led to a significant reduction in cell proliferation, migration, adhesion, and the ability of colony formation in human colon cancer cells. Furthermore, inhibition of C1GALT1 caused a significant reduction of galectin-3-mediated cell–cell aggregation and cell adhesion to basement proteins, while resulting in an increase of galactose-type lectin (MGL)-mediated heterotypic aggregates formed by macrophages with cancer cells (Wan et al.
2023). Intriguingly, in mouse models with lower tumor C1GALT1 expression, more MGL-expressing macrophages and dendritic cells were attracted into the tumor surroundings (Wan et al.
2023). Recent reports also linked high C1GALT1 expression to poor prognosis and the promotion of cancer cell proliferation, migration, and invasion through the regulation of RAC1 in LUAD (Dong et al.
2021b). In the current study, 2 primary public databases (TCGA and GEO) were utilized in addition to clinical samples (98 tumor tissues) to investigate the clinical significance of C1GALT1. In alignment with previous research (Dong et al.
2021b), the present results once again reaffirmed that C1GALT1 was upregulated in LUAD tissues compared with adjacent normal tissues. Furthermore, high C1GALT1 expression was associated with aggressive behavior (higher T stage and lymph node metastasis) in LUAD and was an independent prognostic risk factor for overall survival. These findings suggested that C1GALT1 might play crucial roles in the tumorigenicity and progression of LUAD and could potentially serve as a clinical predictor of aggressiveness in LUAD patients.
Radiotherapy is a crucial component of the treatment strategy for patients with lung cancer, employed for both curative and palliative purposes. It was estimated that >60% of patients with lung cancer needed radiotherapy at some point during their disease course (Kong et al.
2014). However, the clinical benefits of radiotherapy can be limited in certain patients due to inherent or acquired radioresistance, underscoring the need to explore the underlying molecular mechanisms responsible for this resistance. Recent studies indicated that C1GALT1 functions as a regulator of radiosensitivity in human esophageal cancer and laryngeal cancer. Zhang et al. (
2018) found that high expression of C1GALT1 was associated with increased resistance to radiotherapy and suppressing C1GALT1 expression enhanced the radiosensitivity of esophageal cancer cells. Furthermore, Dong et al. (
2018) reported that overexpression of C1GALT1 enhanced radioresistance in radiosensitive laryngeal cells (Hep-2 min) while knocking down C1GALT1 reduced radioresistance in radioresistant laryngeal cells (Hep-2max). The present study aimed to investigate the role of C1GALT1 in modulating radiosensitivity in lung cancer cell lines. The current study demonstrated that knocking down C1GALT1 resulted in increased radiosensitivity of A549 and H1299 cells when subjected to irradiation. Conversely, the overexpression of C1GALT1 had the opposite effect, enhancing radioresistance in these lung cancer cell lines. These results suggest a close association between C1GALT1 and radioresistance in lung cancer. The precise mechanisms underlying this relationship need to be further elucidated.
There are several validated mechanisms of C1GALT1 contributing to aggressive cancer behaviors including radioresistance. Briefly, C1GALT1 could modify the
O-glycosylation of several proteins including integrin β1, FGFR2, MET, MUC1, EGFR, and integrin α5 (Wu et al.
2013; Hung et al.
2014a,
b; Chou et al.
2015; Dong et al.
2018; Lin et al.
2018; Zhang et al.
2018; Dong et al.
2021a), thereby regulating their activity and functioning as an oncogene. Importantly, suppression of C1GALT1 expression not only inhibited the development and progression of the tumor itself but also attracted more macrophages and dendritic cells to the tumor microenvironment through MGL (Wan et al.
2023). Previous mechanistic investigations in esophageal cancer and laryngeal cancer highlighted the role of C1GALT1-mediated
O-glycosylation of β1-integrin in regulating radiosensitivity (Dong et al.
2018; Zhang et al.
2018). In the current study, an enrichment analysis of single-cell sequencing data was performed and the cancer-associated cellular processes influenced by C1GALT1 were examined through public database. The present findings revealed that C1GALT1 is associated with several cancer-related cellular processes, including DNA repair, apoptosis, EMT, and G
2/M checkpoint regulation. These insights provide a comprehensive view of how C1GALT1 may influence cancer behavior and radioresistance.
The present study demonstrated that C1GALT1 plays a multifaceted role in radioresistance. Specifically, C1GALT1 protects against radiation-induced DNA damage, promotes cell proliferation, and inhibits apoptosis. Changes in cell cycle distribution were previously reported to be associated with radioresistance (Yang et al.
2016; Zhang et al.
2018). Disrupting the G
2 checkpoint can reduce cell cycle arrest induced by irradiation, thus diminishing the radioresistance of tumor cells (Qin et al.
2014; Busch et al.
2017). The present findings support this notion, as it was observed that overexpression of C1GALT1 led to an accumulation of cells in the G
2/M phase after irradiation. Conversely, inhibiting C1GALT1 abrogated the G
2/M phase arrest following irradiation. These results highlight the role of C1GALT1 in promoting irradiation-induced G
2/M phase arrest, which could contribute to radioresistance in A549 and H1299 cells.
EMT, an important biological process in which epithelial cells transition to a mesenchymal phenotype, plays crucial roles in cancer progression (Pastushenko and Blanpain
2019). During EMT, cells reduce the expression of epithelial genes, such as E-cadherin, ZO-1, and occludin, while increasing the expression of mesenchymal genes like N-cadherin, Vimentin, and fibronectin (Hernandez-Vega et al.
2020; Huang et al.
2022). This results in a distinct cellular characteristic, including heightened stemness, enhanced invasiveness, increased drug resistance, and the ability to form metastases (Zhang and Weinberg
2018). In addition, accumulating evidence highlighted the pivotal role of EMT as a crucial inducer of radioresistance in cancer cells (Theys et al.
2011; Nantajit et al.
2015; Zhou et al.
2020; Qiao et al.
2022). Loss of E-cadherin was shown to promote radioresistance of breast cancer MDA-MB 231 cells as determined by clone formation assay (Theys et al.
2011). Furthermore, radioresistant cancer cells often exhibit an EMT phenotype characterized by a reduction in epithelial markers (E-cadherin) and an increase in mesenchymal markers (Snail1, vimentin and N-cadherin) in non-small cell lung cancer and pancreatic cancer (Gomez-Casal et al.
2013; Jiang et al.
2018a,
b). Mechanistically, the progression of EMT is regulated by intricate signaling pathways that can ultimately collaborate to induce radioresistance. Theses pathways include TGF-β pathway, Wnt pathway, Notch pathway, EGFR pathway, NF-κB pathway, PI3K/AKT pathway, ERK pathway, IL-6/STAT3 pathway (Zhou et al.
2020). Cancer stem cell (CSC) markers, such as CD44, CD29, and CD90, could also induce EMT-related radioresistance through various pathways (Zhou et al.
2020). In addition, noncoding RNAs, including microRNAs, lincRNAs, and circRNAs, can regulate radiosensitivity by inhibiting EMT (Zhou et al.
2020). In lung cancer, Tan et al. (
2020) found that radiation induced EMT phenotype of cancer cell by regulating PI3K/AKT-ras-related C3 botulinum toxin substrate 1 (RAC1) pathway. RAC1, in turn, induced radioresistance of cancer cells by promoting EMT through regulating the PAK1-LIMK1-Cofilins signaling (Tan et al.
2020). Like the previous study, the present study also demonstrated that irradiation induced EMT phenotypes in A549 and H1299 cells, as evidenced by changes in the expression of EMT markers (N-cadherin, E-cadherin, and vimentin). Furthermore, the current data indicated that C1GALT1 promotes EMT phenotype in A549 and H1299 cells, while inhibition of C1GALT1 abrogates EMT phenotype of cancer cells. These findings suggest that C1GALT1-mediated radioresistance may be associated with the induction of EMT phenotype in LUAD. Recently, Dong et al. (
2021a) found that C1GALT1 can activate the PI3K/Akt pathway by modifying
O-linked glycosylation on integrin α5, promoting cell growth, and enhancing metastasis in gastric cancer. In addition, C1GALT1 also can promote cell growth and metastasis by positively regulating RAC1 in LUAD (Dong et al.
2021b). Combing previous reports (Tan et al.
2020; Dong et al.
2021a,
b) with our results, we hypothesize that in LUAD, C1GALT1 may potentially exert a radioresistance effect by promoting the EMT phenotype through the PI3K/Akt-RAC1 signaling pathway in LUAD. Further investigations are warranted to elucidate the specific mechanisms by which C1GALT1 modulates radioresistance via EMT.
There are some limitations in the present study. First, while the preliminary results of our current in vitro experiments suggest that C1GALT1 plays a crucial role in promoting radioresistance in lung cancer cells, the absence of in vivo experiments is a notable limitation. Future research should incorporate animal models to validate the in vitro findings. Second, our study has confirmed that C1GALT1 could regulate DNA repair, cell proliferation, cell cycle regulation, and EMT, which are potentially associated with radioresistance in lung cancer cells. However, the precise underlying mechanisms of C1GALT1-mediated radioresistance are not fully elucidated in the present study. Future investigations can employ high-throughput analysis, in addition to bioinformatics approaches, to explore the signal regulation pathways associated with C1GALT1-mediated radioresistance. Moreover, considering the importance of EMT in radioresistance, further research on how C1GALT1 regulates EMT becomes a significant avenue for future work. Finally, it is essential to verify the role of C1GALT1-mediated protein O-glycosylation in the radioresistance of LUAD. Specifically, further investigation into the O-glycosylation of integrin β1 and integrin α5 is warranted.
In summary, the present study demonstrated the significant role of C1GALT1 in lung cancer progression and its association with poor prognosis. It also established that C1GALT1 plays a crucial role in promoting radioresistance in lung cancer cells potentially by affecting DNA repair, cell proliferation, cell cycle regulation, and EMT. These findings offer valuable insights into the mechanisms underlying radioresistance in lung cancer and may open new avenues for therapeutic interventions. Future research should explore potential mechanisms through which C1GALT1 impacts radioresistance of LUAD.