PLOD2 exacerbates cervical squamous cell carcinoma by suppressing p53 by binding to YAP1
- Authors:
- Published online on: November 7, 2024 https://doi.org/10.3892/mmr.2024.13388
- Article Number: 23
-
Copyright: © Yin et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Cervical cancer is one of the leading causes of cancer deaths in women (1). The age-standardized incidence rates worldwide is 13.1/100,000 women (2). Epidemiological investigations report 445,000 new cases of cervical cancer and 236,000 deaths annually (3), with ~90% of the deaths occurring in developing countries and low and middle income countries (2). The burden of cervical cancer remains high in numerous parts of the world, with incidence rates in most countries above the thresholds agreed by the WHO Cervical Cancer Elimination Initiative (4,5). Currently, the incidence and mortality rates of cervical cancer are progressively decreasing in developed countries (6). In underdeveloped countries, however, cervical cancer is still one of the most common malignant tumors in women and is the leading cause of death from malignant tumors (7). Based on histopathology, cervical cancer can be divided into squamous cell carcinoma of the cervix, adenocarcinoma of the cervix and rare types such as adenosquamous carcinoma, neuroendocrine carcinoma and smooth muscle sarcoma (8). Among them, the most common type of cervical cancer is cervical squamous cell carcinoma (CESC), which accounts for ~80% of the total number of cases (9,10). It is now generally accepted that human papillomavirus (HPV) is the leading contributor to cervical cancer development and has been categorized into low-risk and high-risk strains on the basis of their oncogenic ability (11). Of the >40 established HPV species that can infect human genitalia, 18 HPV strains have been categorized as high-risk genotypes (12). Almost all cervical cancers are due to high-risk HPV, with serotypes 16 and 18 accounting for 70% of all cases (13). Patients with early-stage cervical cancer have favorable prognosis (14). However, for advanced cervical cancer, cisplatin-based chemotherapy is preferred, but its efficacy is unsatisfactory, with only 1/5 of patients responding to cisplatin-based chemotherapy modalities or radiotherapy-chemotherapy combinations (15). Therefore, searching for new prognostic molecules and effective target molecules for early diagnosis, and establishing new and effective therapeutic measures for CESC are urgent clinical problems.
Collagen, as the most abundant protein, provides a scaffold for the assembly of the extracellular matrix (ECM) and is considered a ‘highway’ for cancer cell migration and invasion (16). The extent of collagen lysine hydroxylation influences the stability of intermolecular collagen cross-links (17). Procollagen-lysine, 2-oxoglutarate 5-dioxygenase 2 (PLOD2), also termed lysyl hydroxylase 2, is a key enzyme that mediates the formation of stable collagen cross-links by catalyzing the hydroxylation of lysine (18). Studies have shown that PLOD2 is significantly overexpressed in head and neck squamous cell carcinoma and promotes cancer cell proliferation, migration and invasion (19,20). RNA sequencing identified PLOD2 as a key gene marker for HPV-associated oropharyngeal squamous cell carcinoma (21). In addition, database analysis revealed that PLOD2 was significantly upregulated in cervical esophageal carcinoma (CESC), which is a potent prognostic marker and associated with immune infiltration in HPV-associated CESC (22). It is worth noting that all of the aforementioned cancers can be caused by HPV infection (23,24). Therefore, it was hypothesized that there is an association between PLOD2 and HPV infection. Several studies have revealed that PLOD2 is overexpressed in bone carcinoma, hepatocellular carcinoma, pancreatic carcinoma and squamous cell carcinoma of the head and neck, accompanied by promoted proliferation, migration and invasion of cancer cells (19,25). Nevertheless, studies on PLOD2 in CESC have not yet been published. Hence, the objective of the present study was to characterize the role of PLOD2 in CESC cells and the mechanism by which PLOD2 impedes the progression of CESC.
Materials and methods
Data mining using public databases
The CESC-related dataset GSE64217 was screened and downloaded from the Gene Expression Omnibus database (http://www.ncbi.nlm.nih.gov/geo/) and used to mine PLOD2 gene expression in patients with CESC samples (26). The differentially expressed genes of P<0.05 were screened out. UALCAN database (https://ualcan.path.uab.edu) analyzed PLOD2 expression in CESC tissues from the TCGA database (https://portal.gdc.cancer.gov/) and the prognostic impact of PLOD2 in patients with CESC (27,28). In addition, the BioGrid v4.4 website (https://thebiogrid.org) (29) predicted the molecules that PLOD2 may bind to and HDock (http://hdock.phys.hust.edu.cn/) was utilized to verify the binding of PLOD2 to Yes-associated protein 1 (YAP1).
Cell culture
Human cervical endometrial cell line End1/E6E7 and CESC cell lines C33A, SiHa, HT-3 and MS751 were obtained from Cellverse Bioscience Technology Co., Ltd. Cells were incubated in Dulbecco's modified Eagle's medium containing 10% fetal bovine serum (FBS; Gibco; Thermo Fisher Scientific, Inc.) and 1% penicillin/streptomycin at 37°C under 5% CO2.
Cell transfection
The specific siRNA targeting PLOD2 (siRNA-PLOD2#1/2) and the corresponding control siRNA (siRNA-NC), the pc-DNA3.1 vector containing the whole length of YAP1 (Ov-YAP1) and the empty vector (Ov-NC) were synthesized by GenePharma. The sequence information of siRNAs used for cell transfection are shown in Table I. Using Lipofectamine® 2000 reagent, 100 nM vectors was transfected into SiHa cells following a typical protocol at 37°C for 48 h (30). Cells were harvested 48 h after transfection for subsequent experimentation.
Cell counting kit-8 (CCK-8) assay
SiHa cells were inoculated into 96-well plates, followed by transfection with siRNA-PLOD2 with or without Ov-YAP1 for 48 h. After which, 10 µl WST-8 (Beyotime Institute of Biotechnology) was added to each well to grow the cells for 2 h, and the absorbance was calculated at 450 nm with a microplate reader (Bio-Rad Laboratories, Inc.).
Wound healing assay
Transfected SiHa cells were initially inoculated into a six-well plate. After the cells reached 90% confluence, the cell monolayers were scratched with a white pipette tip (31). Following 24 h of incubation (without serum), the migratory rate was determined by a light microscope. Image J v1.50 (National Institutes of Health) was used to quantify the wound healing percentage. The formula was as follows: Initial wound size-healing wound size/initial wound size ×100%.
Transwell assay
Cell suspension was prepared by serum-free medium and the transfected SiHa cell suspension (2×105 cells/ml) was loaded into the upper chamber. Then the medium containing 10% FBS (Gibco; Thermo Fisher Scientific, Inc.) was added to the lower chamber. After incubating at 37°C for 24 h, the bottom of the cell chamber was fixed with 100% methanol and stained with 0.1% crystal violet at room temperature for 10 min (31). The number of migrating cells was counted by a fluorescent microscope.
Cell apoptosis analysis
Transfected SiHa cells were washed with precooled PBS. The cells were then stained with Annexin V-FITC for 15 min, followed by the addition of propidium iodide (10 mg/ml) for 5 min at room temperature in darkness. Apoptosis was analyzed by CytoFLEX flow cytometer (Beckman Coulter, Inc.) recognized using FlowJo software v10.8 (Tree Star, Inc.).
SA-β staining
After treatment, SiHa cells were washed three times with HBSS and treated with 1 ml β-galactosidase fixative for 15 min at room temperature. After which, the cell fixative was separated and the cells were allowed to incubate with the staining solution overnight at 37°C (32). The plates were viewed under an inverted microscope.
Co-immunoprecipitation (co-IP)
Total protein was extracted from SiHa cells by IP lysate (NCM Biotech; cat. no. P70100) containing protease inhibitor and was incubated with rabbit IgG (1 µg; cat. no. Sc-2027, Santa Cruz Biotechnology, Inc.) or IP-indicating antibody (1 µg) at 4°C overnight, while an appropriate amount of the extracted protein was used as an input control. The following antibodies were used: PLOD2 (Abcam; cat. no. ab313765) and YAP1 (Abcam; cat. no. ab52771). Protein A/G PLUS-Agarose (20 µl) was applied and incubated at 4°C for 2 h to form the immune mixture, and then centrifuged at 1,000 × g at 4°C for 3 min to isolate the complexes. After washing 4 times with 1 ml cold lysis buffer and boiling for 5 min in the appropriate protein sample buffer, the supernatant was collected in a new tube to carry out western blotting as mentioned below to analyze the immuno-complexes.
Immunofluorescence staining
SiHa cells were fixed with 4% polyoxymethylene at room temperature for 10 min and permeabilized with 0.5% Trition-X100. Following blocking with 10% BSA (Biofroxx; neoFroxx) in PBS for 1 h at room temperature, the cells were incubated with primary antibodies (1:100) overnight at 4°C and secondary antibodies (1:500) for 2 h at room temperature, and stained with DAPI at room temperature for 10 min. The following antibodies were used: p21 (Proteintech Group, Inc.; cat. no. 67362-1-Ig), p53 (Proteintech Group, Inc.; cat. no. 60283-2-Ig) and CoraLite488-conjugated Donkey Anti-IgG (H+L; Proteintech Group, Inc.; cat. no. SA00013-5). The samples were visualized under a confocal microscope.
RT-qPCR
The total RNA used in the present study was isolated from SiHa cells using Trizol® reagent. The cDNA was synthesized using a cDNA reverse transcription kit (Applied Materials, Inc.) at 37°C for 15 min. qPCR was performed using the SYBR Green PCR Master Mix (Applied Biosystems, cat. no. 4367659) and MiniOpticon qPCR detection System (Bio-Rad Laboratories, Inc.). Thermocycling conditions used for qPCR comprised a preincubation step at 95°C for 60 sec, followed by 40 cycles: 95°C for 15 sec for denaturation; 63°C for 25 sec for annealing and extension. The results were estimated based on the 2−ΔΔCq method (33) with GAPDH used as the internal reference gene. The primers used are shown in Table II.
Western blotting
Total proteins from SiHa cells were extracted using RIPA lysis buffer (NCM Biotech; cat. no. WB3100). The protein samples of each group were quantified by BCA kit (NCM Biotech) and 20 µg/lane protein samples were loaded on 10% SDS-PAGE gel. After 10% SDS-PAGE separation, equal amounts of proteins were transferred to a PVDF membrane. After blocking with 5% BSA (Biofroxx; neoFroxx) for 1 h at room temperature, the membranes were cultured with primary antibodies PLOD2 (1:1,000; Abcam; cat. no. ab313765), MMP2 (1:3,000; Proteintech Group, Inc.; cat. no. 66366-1-Ig), MMP9 (1:500; Proteintech Group, Inc.; cat. no. 27306-1-AP), Bcl-2 (1:1,000; Affinity Biosciences; cat. no. AF6139), Bax (1:1,000; Affinity Biosciences; cat. no. AF0120), caspase 3 (1:1,000; CST Biological Reagents Co., Ltd.; cat. no. 9662), cleaved caspase 3 (1:1,000; CST Biological Reagents Co., Ltd.; cat. no. 9661), YAP1 (1:5,000; Abcam; cat. no. ab52771) and GAPDH (Proteintech Group, Inc.; cat. no. 60004-1-Ig; 1:5,000) overnight at 4°C and with secondary antibodies HRP-conjugated Goat Anti-Mouse IgG (H+L; 1:2,000; Proteintech Group, Inc.; cat. no. SA00001-1) or HRP-conjugated Goat Anti-Rabbit IgG (H+L; 1:2,000; Proteintech Group, Inc.; cat. no. SA00001-2) at 37°C for 2 h. The ELC A solution was mixed with the B solution in equal proportions and visualization of the protein bands was achieved using the ECL detection system (Thermo Fisher Scientific, Inc.) in accordance with standard protocols (34), and analysis of protein density was assessed by Image J software v1.50 (National Institutes of Health).
Statistical analysis
Statistical analyses were performed using SPSS 22.0 (IBM Corp.) and GraphPad Prism 6 software (Dotmatics). Data are presented as the mean ± standard deviation of three independent experiments. Results were obtained using one-way ANOVA followed by Bonferroni post hoc tests for multiple comparisons. P<0.05 was considered to indicate a statistically significant difference.
Results
PLOD2 expression is upregulated in CESC tissues and cell lines, and inhibition of PLOD2 decreases CESC cell proliferation
To determine whether PLOD2 plays a role in CESC tumorigenesis, bioinformatic analyses were performed. PLOD2 expression was markedly enhanced in CESC tissues in public databases, as shown in Fig. 1A and B. High expression of PLOD2 was associated with poor prognosis in CESC tissues (Fig. 1C). In addition, by comparative analysis it was found that PLOD2 levels were specifically increased in CESC cell lines compared with the End1/E6E7 cell line. Among them, the expression of PLOD2 was strongest in SiHa cells, so it was selected for subsequent experiments (Fig. 1D and E). Next, PLOD2 expression was silenced and the transfection efficiency was shown in Fig. 1F and G. The findings exhibited that the transfection efficiency of siRNA-PLOD2-1 was higher, hence siRNA-PLOD2-1 (termed siRNA-PLOD2) was selected for the subsequent experiments. CCK-8 assay indicated that silencing PLOD2 significantly decreased the proliferation of SiHa cells when compared with the control group (Fig. 1H).
PLOD2 silencing suppresses the migration, and promotes apoptosis and senescence in SiHa cells
As illustrated in Fig. 2A and B, PLOD2 knockdown diminished cell migration. Silencing PLOD2 resulted in suppression of the protein levels of MMP2 and MMP9 (Fig. 2C). In addition, flow cytometry analysis demonstrated a notable increase in apoptosis following transfection with siRNA-PLOD2 (Fig. 2D), which was consistent with the Western blotting results whereby the level of Bcl-2 was declined in cells silenced with PLOD2, but the levels of Bax and cleaved caspase 3 were augmented (Fig. 2E). Moreover, the knockdown of PLOD2 facilitated the levels of senescence-associated β-galactosidase (SA-β-Gal) and mRNA expressions of senescence-associated secretory phenotype (SASP) genes IL-6, IL-1β, IL-8 and CCL20 (Fig. 2F and G).
PLOD2 binds to YAP1
The possible mechanism of PLOD2 in CESC was then explored. Using the BioGrid website, PLOD2 was predicted to bind to YAP1 (Fig. 3A). The combination of PLOD2 and YAP1 was further verified by HDock software (Fig. 3B). RT-qPCR and western blotting results revealed that YAP1 expression was evidently increased in CESC cell lines when compared with the control End1/E6E7 cells (Fig. 3C and D). The data also revealed that PLOD2 silencing significantly reduced the protein level of YAP1 compared with the negative control group (Fig. 3E and F). The co-IP experiment verified that PLOD2 could combine with YAP1 (Fig. 3G).
PLOD2 regulates YAP1 to promote the proliferation and migration of SiHa cells
To explore the biological roles of YAP1 in SiHa cells, YAP1 was overexpressed and transfection efficiency was shown in Fig. 4A and B. CCK-8 assay indicated that YAP1 elevated the cell proliferation of PLOD2-modulated SiHa cells (Fig. 4C). The migration of SiHa cells was enhanced after YAP1 overexpression (Fig. 4D and E). Moreover, the upregulation of YAP1 reversed the decreased levels of MMP2 and MMP9 in PLOD2-silenced SiHa cells (Fig. 4F).
PLOD2 silencing promotes apoptosis and senescence in SiHa cells by binding to YAP1 and regulates the p53 pathway
As shown in Fig. 5A, the rate of cell apoptosis in YAP1-overexpressed SiHa cells was significantly reduced compared with the PLOD2-silenced SiHa cells alone, which was consistent with the western blotting results where Bcl-2 levels were increased and the protein levels of cleaved caspase 3 and Bax were reduced (Fig. 5B). YAP1 overexpression in turn alleviates the level of SA-β-Gal and SASP genes (Fig. 5C and D). Furthermore, PLOD2 silencing increased the levels of p21 and p53 in SiHa cells, which was reversed by YAP1 overexpression (Fig. 5E and F).
Discussion
Present studies have illustrated that apoptosis and cellular senescence are considered to be the two primary mechanisms for preventing the development of cancer (35). Cellular senescence is currently defined as the cell cycle arrest in the G1 phase (36), and senescent cells are characterized by an increase in SA-β-gal, a flattened cellular morphology, and large and vacuolated cell size (37). Goodwin et al (38) demonstrated that E6 and E7 proteins, which are strongly expressed in cervical cancer cells, actively prevent cervical cancer cell senescence. Consequently, activation of the endogenous senescence pathway in cancer cells has been proposed as a therapy for cervical cancer, including CESC. In the present study, it was confirmed that suppression of PLOD2 resulted in repression of CESC cell proliferation, migration and exacerbation of apoptosis and senescence. It was discovered that PLOD2 binds to YAP1 and plays a modulatory role in SiHa cells, which may be related to p53 signaling.
PLOD2, a member of the PLOD family, is a critical enzyme in the process of forming collagen cross-links (39). PLOD2 fosters the aggressive progression of a number of tumors, including breast, hepatocellular and non-small-cell lung cancers (40). PLOD2 is positively associated with poor prognosis in cancers by acting on the morphologic changes in collagen fibers and facilitating the development of tumor metastatic ‘highways’ (41,42). The KEGG pathway and GO biological processes of PLOD2 as well as interacting genes revealed that PLOD2 is involved in protein digestion/absorption pathways and collagen fibre organization processes, which are closely associated with the ECM (22). This implies that PLOD2 expression may promote the migration and adhesion ability of cervical cancer cells by affecting the ECM. At present, the function and pathways involved in PLOD2 have only been assessed by bioinformatics methods and still need to be further validated by in vitro and in vivo experiments in future research (22). In the present study, PLOD2 expression was significantly higher in samples from patients with CESC compared with healthy samples (logFC≥1 or logFC≤-1; P<0.05) as indicated by differential analysis of the CESC-related dataset GSE64217. The UALCAN database further confirmed that PLOD2 was significantly higher expressed in samples from patients with CESC compared with healthy samples, and the lower the expression, the better the prognosis. Additionally, when PLOD2 was knocked down, the migration of SiHa cells was diminished while the apoptosis and senescence were accelerated.
To explore the mechanism of PLOD2 in CESC, the molecules that PLOD2 may bind to were predicted using the BioGrid website. YAP1 was obtained and further simulations were performed to validate the binding of PLOD2 to YAP1 through H Dock. YAP1, also termed YAP, is a member of the FOX family of transcription factors (43). The hyperactivation of YAP1 can drive the onset and progression of cervical cancer, including CESC (44). Activated YAP upregulates TGF-α, amphiregulin and EGFR, thus forming a positive signaling loop to drive cervical cancer cell proliferation (45). Liu et al (44) showed that YAP expression in the cytoplasm of samples from patients with CESC was significantly higher than that in normal cervical tissues. He et al (46) demonstrated that YAP1 hyperactivation in cervical epithelial cells increased HPV receptors, disrupted innate immunity of the host cells, and promoted HPV infection, which promotes cervical cancer development and progression. Deng et al (47) demonstrated that large tumor suppressor kinase 1 (LATS1) inhibited cervical cancer cell proliferation and invasion by regulating YAP1, and LATS1 overexpression decreased the protein level of YAP1 and increased YAP1 phosphorylation. In the present study, the binding of PLOD2 to YAP1 was confirmed by co-IP. After YAP1 was overexpressed, the migration, apoptosis and senescence of SiHa cells regulated by PLOD2 silencing were all reversed, indicating the role of YAP1 in PLOD2-silenced SiHa cells.
It was observed that cell senescence is partly induced by the activation of p53 (48). For example, DeFilippis et al (49) demonstrated that activation of p53 by inhibiting E6 protein expression triggered cervical cancer cell senescence and apoptosis, which in turn inhibited the pathological development of cervical cancer. In addition, activation of p53 can inhibit the pathological development of CESC, for example, up-regulation of p53 by LncRNA WT1-AS inhibits the proliferation of CESC cells (50). Thus, activation of p53 can mediate CESC cell senescence and inhibit the pathological development of CESC. In addition, CLP36 can promote the pathological development of p53-deficient tumors through upregulation of YAP1 (51). Xu et al (52) demonstrated that knockdown of YAP1 in glial cells significantly promotes premature senescence of glial cells, including reduced cell proliferation, morphological hypertrophy, increased SA-β-Gal activity and upregulation of several senescence-associated genes such as p16, p53 and NF-κB. It was also found that the levels of p53 and p21 were affected by PLOD2 silencing and YAP1 overexpression, which was in agreement with the aforementioned findings.
To conclude, the findings of the present study indicated that the expression of PLOD2 was elevated in CESC tissues and cell lines, and PLOD2 silencing caused the inhibition of CESC cell proliferation and migration, and promotion of apoptosis and senescence of CESC cells. PLOD2 was predicted to be bound to YAP1 and YAP1 overexpression reversed the effects of PLOD2 silencing on CESC cell proliferation, cell migration, apoptosis and senescence. In addition, PLOD2 facilitated CESC progression by regulating the p53 pathway through YAP1. These findings demonstrated the impacts of PLOD2 silencing on CESC cells and reported the role of the binding of PLOD2 and YAP1 in CESC cells, which suggests that PLOD2 could be a prospective therapeutic target for CESC.
However, there were some limitations to the present study. Firstly, generalizability and clinical translational potential of the present findings were not verified by animal models or clinical samples. In the current in vitro experiments, a single cervical cancer cell line was used, and the results of the aforementioned experiments require validation with multiple cervical cancer cell lines. Moreover, the overexpression or silencing of PLOD2 at different concentrations must be investigated to comprehensively evaluate the effects of PLOD2 on CESC cells at different expression levels for a more comprehensive understanding of the mechanism of action of PLOD2. Although the present study reveals the mechanism by which PLOD2 regulates the p53 signaling pathway through YAP1 to promote CESC progression, the specific molecular mechanisms, such as the mechanisms by which PLOD2 binds to YAP1, what their binding sites are and how YAP1 regulates p53, still need to be further investigated by bioinformatics and experimentally. Therefore, future endeavors will further investigate the aforementioned research elements.
Acknowledgements
Not applicable.
Funding
Funding: No funding was received.
Availability of data and materials
The data generated in the present study may be requested from the corresponding author.
Authors' contributions
MY conceptualized the study and wrote the original draft of the manuscript; YW performed the investigation and the formal analysis; TQ was responsible for conceptualization, methodology, writing, review, editing and revising the manuscript critically for important intellectual content. All authors read and approved the final version of the manuscript. MY, YW and TQ confirm the authenticity of all the raw data.
Ethics approval and consent to participate
Not applicable.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Chatterjee K, Mukherjee S, Vanmanen J, Banerjee P and Fata JE: Dietary polyphenols, resveratrol and pterostilbene exhibit antitumor activity on an HPV E6-positive cervical cancer model: An in vitro and in vivo analysis. Front Oncol. 9:3522019. View Article : Google Scholar : PubMed/NCBI | |
Romli R, Mohd Hashim S, Abd Rahman R, Chew KT, Mohamad EMW and Mohammed Nawi A: Understanding cervical cancer screening motivations from women and health practitioners' perspectives: A qualitative exploration. Gynecol Oncol Rep. 52:1013492024. View Article : Google Scholar : PubMed/NCBI | |
Alqarni SS, Alshehri SM, Alkhateeb MA and Alsudias LS: Assessing Saudi women's awareness about human papillomavirus (HPV) and their susceptibility to receive the vaccine. Hum Vaccin Immunother. 20:23950862024. View Article : Google Scholar : PubMed/NCBI | |
Singh D, Vignat J, Lorenzoni V, Eslahi M, Ginsburg O, Lauby-Secretan B, Arbyn M, Basu P, Bray F and Vaccarella S: Global estimates of incidence and mortality of cervical cancer in 2020: A baseline analysis of the WHO global cervical cancer elimination initiative. Lancet Glob Health. 11:e197–e206. 2023. View Article : Google Scholar : PubMed/NCBI | |
Jensen JE, Becker GL, Jackson JB and Rysavy MB: Human papillomavirus and associated cancers: A review. Viruses. 16:6802024. View Article : Google Scholar : PubMed/NCBI | |
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A and Bray F: Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 71:209–249. 2021. View Article : Google Scholar : PubMed/NCBI | |
US Preventive Services Task Force, . Curry SJ, Krist AH, Owens DK, Barry MJ, Caughey AB, Davidson KW, Doubeni CA, Epling JW Jr, Kemper AR, et al: Screening for cervical cancer: US preventive services task force recommendation statement. JAMA. 320:674–686. 2018. View Article : Google Scholar : PubMed/NCBI | |
Meng Y, Chu T, Lin S and Wu P, Zhi W, Peng T, Ding W, Luo D and Wu P: Clinicopathological characteristics and prognosis of cervical cancer with different histological types: A population-based cohort study. Gynecol Oncol. 163:545–551. 2021. View Article : Google Scholar : PubMed/NCBI | |
Mayadev JS, Ke G, Mahantshetty U, Pereira MD, Tarnawski R and Toita T: Global challenges of radiotherapy for the treatment of locally advanced cervical cancer. Int J Gynecol Cancer. 32:436–445. 2022. View Article : Google Scholar : PubMed/NCBI | |
Ran Z, Wu S, Ma Z, Chen X, Liu J and Yang J: Advances in exosome biomarkers for cervical cancer. Cancer Med. 11:4966–4978. 2022. View Article : Google Scholar : PubMed/NCBI | |
Walboomers JM, Jacobs MV, Manos MM, Bosch FX, Kummer JA, Shah KV, Snijders PJ, Peto J, Meijer CJ and Muñoz N: Human papillomavirus is a necessary cause of invasive cervical cancer worldwide. J Pathol. 189:12–19. 1999. View Article : Google Scholar : PubMed/NCBI | |
Pimple SA and Mishra GA: Global strategies for cervical cancer prevention and screening. Minerva Ginecol. 71:313–320. 2019. View Article : Google Scholar : PubMed/NCBI | |
Rerucha CM, Caro RJ and Wheeler VL: Cervical cancer screening. Am Fam Physician. 97:441–448. 2018.PubMed/NCBI | |
Zhou Y, Wang W, Tang J, Hu K and Zhang F: Comparison of outcomes between early-stage cervical cancer patients without high-risk factors undergoing adjuvant concurrent chemoradiotherapy and radiotherapy alone after radical surgery. BMC Cancer. 24:5482024. View Article : Google Scholar : PubMed/NCBI | |
Nuchpramool P and Hanprasertpong J: Preoperative neutrophil-lymphocyte ratio and platelet-lymphocyte ratio are not clinically useful in predicting prognosis in early stage cervical cancer. Surg Res Pract. 2018:91629212018.PubMed/NCBI | |
Shi R, Zhang Z, Zhu A, Xiong X, Zhang J, Xu J, Sy MS and Li C: Targeting type I collagen for cancer treatment. Int J Cancer. 151:665–683. 2022. View Article : Google Scholar : PubMed/NCBI | |
Terajima M, Taga Y, Chen Y, Cabral WA, Hou-Fu G, Srisawasdi S, Nagasawa M, Sumida N, Hattori S, Kurie JM, et al: Cyclophilin-B modulates collagen cross-linking by differentially affecting lysine hydroxylation in the helical and telopeptidyl domains of tendon type I collagen. J Biol Chem. 291:9501–9512. 2016. View Article : Google Scholar : PubMed/NCBI | |
Piersma B and Bank RA: Collagen cross-linking mediated by lysyl hydroxylase 2: An enzymatic battlefield to combat fibrosis. Essays Biochem. 63:377–387. 2019. View Article : Google Scholar : PubMed/NCBI | |
Sato K, Parag-Sharma K, Terajima M, Musicant AM, Murphy RM, Ramsey MR, Hibi H, Yamauchi M and Amelio AL: Lysyl hydroxylase 2-induced collagen cross-link switching promotes metastasis in head and neck squamous cell carcinomas. Neoplasia. 23:594–606. 2021. View Article : Google Scholar : PubMed/NCBI | |
Gong S, Wu C, Duan Y, Fu J, Wang Y, Wu H, Zhang B, Tang J and Wu P: PLODs: Novel prognostic biomarkers and potential immunotherapy targets for head and neck squamous cell carcinoma. Heliyon. 9:e134792023. View Article : Google Scholar : PubMed/NCBI | |
Sekaran K, Varghese RP, Krishnan S, Zayed H, El Allali A and Doss GPC: Dissecting crucial gene markers involved in HPV-associated oropharyngeal squamous cell carcinoma from RNA-sequencing data through explainable artificial intelligence. Front Biosci (Landmark Ed). 29:2202024. View Article : Google Scholar : PubMed/NCBI | |
Li G, Wang X and Liu G: PLOD2 is a potent prognostic marker and associates with immune infiltration in cervical cancer. Biomed Res Int. 2021:55123402021.PubMed/NCBI | |
Liu R, He X, Bao W and Li Z: Enhancement of HPV therapeutic peptide-based vaccine efficacy through combination therapies and improved delivery strategies: A review. Hum Vaccin Immunother. 20:23967102024. View Article : Google Scholar : PubMed/NCBI | |
Suhaila K, Mukherjee A, Maharjan B, Dhakal A, Lama M, Junkins A, Khakurel U, Jha AN, Jolly PE, Lhaki P and Shrestha S: Human papillomavirus, related diseases, and vaccination: Knowledge and awareness among health care students and professionals in Nepal. J Cancer Educ. 37:1727–1735. 2022. View Article : Google Scholar : PubMed/NCBI | |
Sada M, Ohuchida K, Horioka K, Okumura T, Moriyama T, Miyasaka Y, Ohtsuka T, Mizumoto K, Oda Y and Nakamura M: Hypoxic stellate cells of pancreatic cancer stroma regulate extracellular matrix fiber organization and cancer cell motility. Cancer Lett. 372:210–218. 2016. View Article : Google Scholar : PubMed/NCBI | |
Wu B and Xi S: Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer. BMC Cancer. 21:7332021. View Article : Google Scholar : PubMed/NCBI | |
S S Shukla V, Khan GN, Eswaran S, Adiga D and Kabekkodu SP: Integrated bioinformatic analysis of miR-15a/16-1 cluster network in cervical cancer. Reprod Biol. 21:1004822021. View Article : Google Scholar : PubMed/NCBI | |
Li CJ, Chiu YH, Chang C, Chang YCI, Sheu JJ and Chiang AJ: Acetyl coenzyme A synthase 2 acts as a prognostic biomarker associated with immune infiltration in cervical squamous cell carcinoma. Cancers (Basel). 13:31252021. View Article : Google Scholar : PubMed/NCBI | |
Oughtred R, Rust J, Chang C, Breitkreutz BJ, Stark C, Willems A, Boucher L, Leung G, Kolas N, Zhang F, et al: The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions. Protein sci. 30:187–200. 2021. View Article : Google Scholar : PubMed/NCBI | |
Dalby B, Cates S, Harris A, Ohki EC, Tilkins ML, Price PJ and Ciccarone VC: Advanced transfection with Lipofectamine 2000 reagent: Primary neurons, siRNA, and high-throughput applications. Methods. 33:95–103. 2004. View Article : Google Scholar : PubMed/NCBI | |
Li Z, He H, Ren X, Chen Y, Liu W, Pu R, Fang L, Shi Y, Liu D, Zhao J, et al: APOBEC3A suppresses cervical cancer via apoptosis. J Cancer. 14:3429–3443. 2023. View Article : Google Scholar : PubMed/NCBI | |
Chen Q, Sun X, Luo X, Wang J, Hu J and Feng Y: PIK3R3 inhibits cell senescence through p53/p21 signaling. Cell Death Dis. 11:7982020. View Article : Google Scholar : PubMed/NCBI | |
Lv S, Wang Y, Xu W and Dong X: Serum exosomal miR-17-5p as a promising biomarker diagnostic biomarker for breast cancer. Clin Lab. 66:2020. View Article : Google Scholar | |
Zhong C, Ju G, Yang S, Zhao X, Chen J and Li N: Total flavonoids of polygala fallax hemsl induce apoptosis of human ectopic endometrial stromal cells through PI3K/AKT/Bcl-2 signaling pathway. Gynecol Obstet Invest. 88:197–213. 2023. View Article : Google Scholar : PubMed/NCBI | |
Childs BG, Baker DJ, Kirkland JL, Campisi J and van Deursen JM: Senescence and apoptosis: Dueling or complementary cell fates? EMBO Rep. 15:1139–1153. 2014. View Article : Google Scholar : PubMed/NCBI | |
Ou HL, Hoffmann R, González-López C, Doherty GJ, Korkola JE and Muñoz-Espín D: Cellular senescence in cancer: From mechanisms to detection. Mol Oncol. 15:2634–2671. 2021. View Article : Google Scholar : PubMed/NCBI | |
Tzoneva R: Special issue ‘role of apoptosis and cellular senescence in cancer and aging’. Int J Mol Sci. 25:21032024. View Article : Google Scholar : PubMed/NCBI | |
Goodwin EC, Yang E, Lee CJ, Lee HW, DiMaio D and Hwang ES: Rapid induction of senescence in human cervical carcinoma cells. Proc Natl Acad Sci U S A. 97:10978–10983. 2000. View Article : Google Scholar : PubMed/NCBI | |
Lan J, Zhang S, Zheng L, Long X, Chen J, Liu X, Zhou M and Zhou J: PLOD2 promotes colorectal cancer progression by stabilizing USP15 to activate the AKT/mTOR signaling pathway. Cancer Sci. 114:3190–3202. 2023. View Article : Google Scholar : PubMed/NCBI | |
Xu Q, Kong N, Zhao Y, Wu Q, Wang X, Xun X and Gao P: Pan-cancer analyses reveal oncogenic and immunological role of PLOD2. Front Genet. 13:8646552022. View Article : Google Scholar : PubMed/NCBI | |
Li K, Niu Y, Li K, Zhong C, Qiu Z, Yuan Y, Shi Y, Lin Z, Huang Z, Zuo D, et al: Dysregulation of PLOD2 promotes tumor metastasis and invasion in hepatocellular carcinoma. J Clin Transl Hepatol. 11:1094–1105. 2023.PubMed/NCBI | |
Yang YS, Jin X, Li Q, Chen YY, Chen F, Zhang H, Su Y, Xiao Y, Di GH, Jiang YZ, et al: Superenhancer drives a tumor-specific splicing variant of MARCO to promote triple-negative breast cancer progression. Proc Natl Acad Sci USA. 119:e22072011192022. View Article : Google Scholar : PubMed/NCBI | |
Zheng L, Qian B, Tian D, Tang T, Wan S, Wang L, Zhu L and Geng X: FOXA1 positively regulates gene expression by changing gene methylation status in human breast cancer MCF-7 cells. Int J Clin Exp Pathol. 8:96–106. 2015.PubMed/NCBI | |
Liu T, Liu Y, Gao H, Meng F, Yang S and Lou G: Clinical significance of yes-associated protein overexpression in cervical carcinoma: The differential effects based on histotypes. Int J Gynecol Cancer. 23:735–742. 2013. View Article : Google Scholar : PubMed/NCBI | |
He C, Mao D, Hua G, Lv X, Chen X, Angeletti PC, Dong J, Remmenga SW, Rodabaugh KJ, Zhou J, et al: The Hippo/YAP pathway interacts with EGFR signaling and HPV oncoproteins to regulate cervical cancer progression. EMBO Mol Med. 7:1426–1449. 2015. View Article : Google Scholar : PubMed/NCBI | |
He C, Lv X, Huang C, Angeletti PC, Hua G, Dong J, Zhou J, Wang Z, Ma B, Chen X, et al: A Human Papillomavirus-Independent Cervical Cancer Animal Model Reveals Unconventional Mechanisms of Cervical Carcinogenesis. Cell Rep. 26:2636–2650. 2019. View Article : Google Scholar : PubMed/NCBI | |
Deng J, Zhang W, Liu S, An H, Tan L and Ma L: LATS1 suppresses proliferation and invasion of cervical cancer. Mol Med Rep. 15:1654–1660. 2017. View Article : Google Scholar : PubMed/NCBI | |
Sheekey E and Narita M: p53 in senescence-it's a marathon, not a sprint. FEBS J. 290:1212–1220. 2023. View Article : Google Scholar : PubMed/NCBI | |
DeFilippis RA, Goodwin EC, Wu L and DiMaio D: Endogenous human papillomavirus E6 and E7 proteins differentially regulate proliferation, senescence, and apoptosis in HeLa cervical carcinoma cells. J Virol. 77:1551–1563. 2003. View Article : Google Scholar : PubMed/NCBI | |
Zhang Y, Na R and Wang X: LncRNA WT1-AS up-regulates p53 to inhibit the proliferation of cervical squamous carcinoma cells. BMC Cancer. 19:10522019. View Article : Google Scholar : PubMed/NCBI | |
Lu Y, Mu Y, Chen J, Guan X, Guo L and Wu C: CLP36 promotes p53 deficient sarcoma progression through suppression of atrophin-1 interacting protein-4 (AIP-4)-dependent degradation of YAP1. Theranostics. 12:5051–5068. 2022. View Article : Google Scholar : PubMed/NCBI | |
Xu X, Shen X, Wang J, Feng W, Wang M, Miao X, Wu Q, Wu L, Wang X Ma Y, et al: YAP prevents premature senescence of astrocytes and cognitive decline of Alzheimer's disease through regulating CDK6 signaling. Aging Cell. 20:e134652021. View Article : Google Scholar : PubMed/NCBI |