Metabolic rewiring is associated with HPV-specific profiles in cervical cancer cell lines

Cervical mucus can be used for metabolite screening in cervical cancer

Approximately 660,000 women are diagnosed with cervical cancer annually. Current screening options such as cytology or human papillomavirus testing have limitations, creating a need to identify more effective ancillary biomarkers for triage. Here, we evaluated whether metabolomic analysis of cervical mucus metabolism could be used to identify biomarkers of cervical intraepithelial neoplasia (CIN) and cervical cancer. The case-control group consisted of 181 CIN, 69 squamous cell carcinoma (SCC) patients, and 48 healthy controls in the primary cohort. We undertook metabolomic analyses using ultra-HPLC-tandem mass spectrometry. Univariate and multivariate analyses were carried out to profile metabolite characteristics, and receiver operating characteristic (ROC) analysis identified biomarker candidates. Five metabolites conferred the highest discriminatory power for SCC: oxidized glutathione (GSSG) (area under the ROC curve, 0.924; 95% confidence interval, 0.877-0.971), malic acid (0.914, 0.859-0.968), kynurenine (0.884, 0.823-0.945), GSSG/glutathione (GSH) (0.936, 0.892-0.979), and kynurenine/tryptophan (0.909, 0.856-0.961). Malic acid was the best marker for detection of CIN2 or worse (0.858, 0.793-0.922) and was a clinically useful metabolite. We confirmed the reproducibility of the results by validation cohort. Additionally, metabolomic analyses revealed eight pathways strongly associated with cervical neoplasia. Of these, only the tricarboxylic acid cycle was strongly associated with all CINs and cancer, indicating active energy production. Aberrant arginine metabolism by decreasing arginine and increasing citrulline might reduce tumor immunity. Changes in cysteine-methionine and GSH pathways might drive the initiation and progression of cervical cancer. These results suggest that metabolic analysis can identify ancillary biomarkers and could improve our understanding of the pathophysiological mechanisms underlying cervical neoplasia.

Human Papillomavirus Infections and the Role Played by Cervical and Cervico-Vaginal Microbiota-Evidence from Next-Generation Sequencing Studies

This comprehensive review encompasses studies examining changes in the cervical and cervico-vaginal microbiota (CM and CVM) in relation to human papillomavirus (HPV) using next-generation sequencing (NGS) technology. HPV infection remains a prominent global health concern, with a spectrum of manifestations, from benign lesions to life-threatening cervical cancers. The CM and CVM, a unique collection of microorganisms inhabiting the cervix/vagina, has emerged as a critical player in cervical health. Recent research has indicated that disruptions in the CM and CVM, characterized by a decrease in Lactobacillus and the overgrowth of other bacteria, might increase the risk of HPV persistence and the progression of cervical abnormalities. This alteration in the CM or CVM has been linked to a higher likelihood of HPV infection and cervical dysplasia. NGS technology has revolutionized the study of the cervical microbiome, providing insights into microbial diversity, dynamics, and taxonomic classifications. Bacterial 16S rRNA gene sequencing, has proven invaluable in characterizing the cervical microbiome, shedding light on its role in HPV infections and paving the way for more tailored strategies to combat cervical diseases. NGS-based studies offer personalized insights into an individual's cervical microbiome. This knowledge holds promise for the development of novel diagnostic tools, targeted therapies, and preventive interventions for cervix-related conditions, including cervical cancer.

Manipulation of metabolic responses enhances SHetA2 efficacy without toxicity in cervical cancer cell lines and xenografts

OBJECTIVE

The high frequency of cervical cancer recurrence after primary therapy necessitates alternative treatments. High-risk human papillomavirus (HR-HPV) causes cervical cancer and it's continued presence supports elevated metabolism, proliferation and survival of cancer cells. The low-to-no toxicity new investigational drug, SHetA2, counteracts high-risk human papillomavirus (HR-HPV) effects on cell proliferation and survival in cervical cancer cells and xenograft tumors by disrupting heat shock protein 70 chaperone protection of oncogenic proteins. Our objective was to study the involvement of metabolism in SHetA2 effects on cervical cancer cells and tumors.

METHODS

SHetA2-mediated proteomic and metabolic effects were measured in HR-HPV-positive CaSKi and SiHa and HR-HPV-negative C-33 A cervical cancer cell lines. Combined treatment with 2-deoxyglucose (2-DG) was evaluated in cell culture and SiHa xenografts.

RESULTS

SHetA2 inhibited oxidative phosphorylation (OxPhos) and altered levels of proteins involved in metabolism, protein synthesis, and DNA replication and repair. Cervical cancer cells responded by elevating glycolysis. Inhibition of the glycolytic responses using galactose media or 2-DG increased SHetA2 sensitivity of two HR-HPV-positive, but not an HR-HPV-negative cervical cancer cell line. Interaction of 2-DG and SHetA2 was synergistic in HR-HPV positive cell lines in association with augmentation of SHetA2 ATP reduction, but not SHetA2 DNA damage induction. These results were verified in a SiHa xenograft tumor model without evidence of toxicity.

CONCLUSIONS

Compensatory glycolysis counteracts OxPhos inhibition in SHetA2-treated HR-HPV-positive cervical cancer cell lines. Prevention of compensatory glycolysis with 2-DG or another glycolysis inhibitor has the potential to improve SHetA2 therapy without toxicity.

An Update on the Metabolic Landscape of Oncogenic Viruses

Viruses play an important role in cancer development as about 12% of cancer types are linked to viral infections. Viruses that induce cellular transformation are known as oncoviruses. Although the mechanisms of viral oncogenesis differ between viruses, all oncogenic viruses share the ability to establish persistent chronic infections with no obvious symptoms for years. During these prolonged infections, oncogenic viruses manipulate cell signaling pathways that control cell cycle progression, apoptosis, inflammation, and metabolism. Importantly, it seems that most oncoviruses depend on these changes for their persistence and amplification. Metabolic changes induced by oncoviruses share many common features with cancer metabolism. Indeed, viruses, like proliferating cancer cells, require increased biosynthetic precursors for virion production, need to balance cellular redox homeostasis, and need to ensure host cell survival in a given tissue microenvironment. Thus, like for cancer cells, viral replication and persistence of infected cells frequently depend on metabolic changes. Here, we draw parallels between metabolic changes observed in cancers or induced by oncoviruses, with a focus on pathways involved in the regulation of glucose, lipid, and amino acids. We describe whether and how oncoviruses depend on metabolic changes, with the perspective of targeting them for antiviral and onco-therapeutic approaches in the context of viral infections.

HPV18 oncoproteins driven expression of PKM2 reprograms HeLa cell metabolism to maintain aerobic glycolysis and viability

The molecular basis of human papillomavirus (HPV)-mediated cellular immortalization and malignant transformation has illustrated an indispensable role of viral E6/E7-oncoproteins. However, the impact of viral-oncoproteins on the metabolic phenotype of cancer cells remains ambiguous. We showed silencing of HPV18-encoded E6/E7-oncoprotein significantly reduced glucose consumption, lactate production, ATP level and viability. Silencing of HPV18-encoded E6/E7 in HeLa cells significantly down-regulated expression and activity of HK1, HK2, LDHA, and LDHB. Interestingly, there was an increased pyruvate kinase activity due to switch in expression from PKM2 isoform to PKM1. The switch in favor of alternatively spliced isoform PKM1, was regulated by viral-E6/E7-oncoprotein by inhibiting the c-Myc/hnRNP-axis. Further, the near absence of the PKM1 protein despite an adequate amount of PKM1 mRNA in HeLa cells was due to its proteasomal degradation. Our results suggests HPV18-encoded E6/E7 driven preferential expression of PKM2 is essential to support aerobic glycolysis and cell proliferation.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13337-022-00776-w.

Cancer metabolomics: A tool of clinical utility for early diagnosis of gynaecological cancers

Gynaecological cancers are the major cause of cancer-related deaths in Indian women. The poor prognosis and lack of symptoms in the early stages make early cancer diagnosis difficult. The absence of mandatory screening programmes and the lack of awareness pose to be a real challenge in a developing economy as India. Prompt intervention is required to enhance cancer patient survival statistics and to lessen the social and financial burden. Conventional screening and cytological techniques employed currently have helped to reduce the incidence of cancers considerably. However, these tests offer low sensitivity and specificity and are not widely used for risk assessment, leading to inadequate early-stage cancer diagnosis. The accomplishment of Human Genome Project (HGP) has opened doors to exciting 'omics' platforms. Promising research in genomics and proteomics has revolutionized cancer detection and screening methodologies by providing more insights in the gene expression, protein function and how specific mutation in specific genes corresponds to a particular phenotype. However, these are incompetent to translate the information into clinical applicability. Various factors such as low sensitivity, diurnal variation in protein, poor reproducibility and analytical variables are prime hurdles. Thus the focus has been shifted to metabolomics, which is a much younger platform compared to genomics and proteomics. Metabolomics focuses on endpoint metabolites, which are final products sustained in the response to genetic or environmental changes by a living system. As a result, the metabolome indicates the cell's functional condition, which is directly linked to its phenotype. Metabolic profiling aims to study the changes occurred in metabolic pathways. This metabolite profile is capable of differentiating the healthy individuals from those having cancer. The pathways that a cell takes in turning malignant are exceedingly different, owing to the fact that transformation of healthy cells to abnormal cells is linked with significant metabolic abnormalities. This review is aimed to discuss metabolomics and its potential role in early diagnosis of gynaecological cancers, viz. breast, ovarian and cervical cancer.