Association of plasma arginine with breast cancer molecular subtypes in women of Liaoning province

Energy metabolism pathways in breast cancer progression: The reprogramming, crosstalk, and potential therapeutic targets

Breast cancer (BC) is a malignant tumor that seriously endangers health in women. BC, like other cancers, is accompanied by metabolic reprogramming. Among energy metabolism-related pathways, BC exhibits enhanced glycolysis, tricarboxylic acid (TCA) cycle, pentose phosphate pathway (PPP), glutamate metabolism, and fatty acid metabolism activities. These pathways facilitate the proliferation, growth and migration of BC cells. The progression of BC is closely related to the alterations in the activity or expression level of several metabolic enzymes, which are regulated by the intrinsic factors such as the key signaling and transcription factors. The metabolic reprogramming in the progression of BC is attributed to the aberrant expression of the signaling and transcription factors associated with the energy metabolism pathways. Understanding the metabolic mechanisms underlying the development of BC will provide a druggable potential for BC treatment and drug discovery.

Updates and Original Case Studies Focused on the NMR-Linked Metabolomics Analysis of Human Oral Fluids Part II: Applications to the Diagnosis and Prognostic Monitoring of Oral and Systemic Cancers

Human saliva offers many advantages over other biofluids regarding its use and value as a bioanalytical medium for the identification and prognostic monitoring of human diseases, mainly because its collection is largely non-invasive, is relatively cheap, and does not require any major clinical supervision, nor supervisory input. Indeed, participants donating this biofluid for such purposes, including the identification, validation and quantification of surrogate biomarkers, may easily self-collect such samples in their homes following the provision of full collection details to them by researchers. In this report, the authors have focused on the applications of metabolomics technologies to the diagnosis and progressive severity monitoring of human cancer conditions, firstly oral cancers (e.g., oral cavity squamous cell carcinoma), and secondly extra-oral (systemic) cancers such as lung, breast and prostate cancers. For each publication reviewed, the authors provide a detailed evaluation and critical appraisal of the experimental design, sample size, ease of sample collection (usually but not exclusively as whole mouth saliva (WMS)), their transport, length of storage and preparation for analysis. Moreover, recommended protocols for the optimisation of NMR pulse sequences for analysis, along with the application of methods and techniques for verifying and resonance assignments and validating the quantification of biomolecules responsible, are critically considered. In view of the authors’ specialisms and research interests, the majority of these investigations were conducted using NMR-based metabolomics techniques. The extension of these studies to determinations of metabolic pathways which have been pathologically disturbed in these diseases is also assessed here and reviewed. Where available, data for the monitoring of patients’ responses to chemotherapeutic treatments, and in one case, radiotherapy, are also evaluated herein. Additionally, a novel case study featured evaluates the molecular nature, levels and diagnostic potential of ¹H NMR-detectable salivary ‘acute-phase’ glycoprotein carbohydrate side chains, and/or their monomeric saccharide derivatives, as biomarkers for cancer and inflammatory conditions.

Exploring the Role of Metabolites in Cancer and the Associated Nerve Crosstalk

Since Otto Warburg's first report on the increased uptake of glucose and lactate release by cancer cells, dysregulated metabolism has been acknowledged as a hallmark of cancer that promotes proliferation and metastasis. Over the last century, studies have shown that cancer metabolism is complex, and by-products of glucose and glutamine catabolism induce a cascade of both pro- and antitumorigenic processes. Some vitamins, which have traditionally been praised for preventing and inhibiting the proliferation of cancer cells, have also been proven to cause cancer progression in a dose-dependent manner. Importantly, recent findings have shown that the nervous system is a key player in tumor growth and metastasis via perineural invasion and tumor innervation. However, the link between cancer-nerve crosstalk and tumor metabolism remains unclear. Here, we discuss the roles of relatively underappreciated metabolites in cancer-nerve crosstalk, including lactate, vitamins, and amino acids, and propose the investigation of nutrients in cancer-nerve crosstalk based on their tumorigenicity and neuroregulatory capabilities. Continued research into the metabolic regulation of cancer-nerve crosstalk will provide a more comprehensive understanding of tumor mechanisms and may lead to the identification of potential targets for future cancer therapies.

Abnormal arginine metabolism is associated with prognosis in patients of gastric cancer

Background

Metabolic disorder is a key factor in the occurrence and development of tumors. Metabolomics methods can explore a variety of prognostic markers for tumors.

Methods

The 454 patients included in this study comprised 92 cases of gastric cancer, 51 cases of gastric ulcers, 206 cases of gastric polyps, and 105 cases of gastritis. The plasma levels of 23 amino acids in patients before treatment were detected by liquid chromatography-tandem mass spectrometry, and t-test was used to determine the difference of amino acids levels between the gastric cancer group and other groups. Shared different amino acids were selected to analyze their relationship with staging, differentiation and prognosis. The TCGA database was used to explore the changes of genes expression related to the synthesis and degradation of different amino acids, and the relationship between the genes and stage, differentiation and prognosis.

Results

The plasma arginine level in the gastric cancer group was significantly higher than that in the gastric ulcer, gastric polyp, and gastritis groups (P values 0.0065, 0.0306, 0.0004, respectively).The level of plasma arginine in patients with non-metastatic gastric cancer was significantly higher than that in patients with metastatic gastric cancer (P=0.0013). Compared with the normal control, the key metabolic enzyme ASS1 gene was highly expressed in gastric cancer, and the survival time of gastric cancer patients with high expression of ASS1 was longer. Patients with high arginine expression had significantly longer survival (log-rank test P=0.0003).

Conclusions

Increased plasma arginine level in gastric cancer patients was related to overexpression of ASS1 by TCGA database analysis. High expression of ASS1 prolonged the overall survival of gastric cancer patients, and the arginine level before treatment could be used as a prognostic factor.

Increased Arginase1 expression in tumor microenvironment promotes mammary carcinogenesis via multiple mechanisms

Arginine metabolism plays a significant role in regulating cell function, affecting tumor growth and metastatization. To study the effect of the arginine-catabolizing enzyme Arginase1 (ARG1) on tumor microenvironment, we generated a mouse model of mammary carcinogenesis by crossbreeding a transgenic mouse line overexpressing ARG1 in macrophages (FVBArg+/+) with the MMTV-Neu mouse line (FVBNeu+/+). This double transgenic line (FVBArg+/-;Neu+/+) showed a significant shortening in mammary tumor latency, and an increase in the number of mammary nodules. Transfer of tumor cells from FVBNeu+/+ into either FVB wild type or FVBArg+/+ mice resulted in increase regulatory T cells in the tumor infiltrate, suggestive of an impaired antitumor immune response. However, we also found increased frequency of tumor stem cells in tumors from FVBArg+/-;Neu+/+ transgenic compared with FVBNeu+/+ mice, suggesting that increased arginine metabolism in mammary tumor microenvironment may supports the cancer stem cells niche. We provide in vivo evidence of a novel, yet unexploited, mechanism through which ARG1 may contribute to tumor development.

Design of a structure-based fluorescent biosensor from bioengineered arginine deiminase for rapid determination of L-arginine

Rationally designed mutations on recombinant arginine deiminase (ADI) could act as a 'turn-off' L-arginine (L-Arg) fluorescent biosensor and provide an alternative method for rapid determination of L-Arg. Double mutations were introduced on the Cys²⁵¹➔Ser²⁵¹ and Thr²⁶⁵➔Cys²⁶⁵ of recombinant ADI, rendering a single cysteine present on the protein surface for the site-specific attachment of a fluorophore, fluorescein-5-maleimide. The double mutations on ADI (265C) and its fluorescein-labelled form (265Cf) conserved the catalytic efficiency of wild-type ADI. Upon binding to L-Arg, 265Cf induced structural conformational changes and rendered the fluorescein moiety to move closer to Trp²⁶⁴, resulting in fluorescence quenching. The duration of fluorescence quenching was dependant on the L-Arg concentration. A linear relationship between the time at the maximum rate of fluorescence change and L-Arg concentrations, which ranged from 2.5 to 100 μM, was found with R² = 0.9988. The measurement time was within 0.15-4 min. Determination of L-Arg concentration in fetal bovine serum could be achieved by the standard addition method and without sample pre-treatment. The result showed a good agreement with the one determined by mass spectrometry, suggesting our biosensor as a promising tool for the detection of L-Arg in biological samples.

miR-424-5p regulates cell proliferation, migration and invasion by targeting doublecortin-like kinase 1 in basal-like breast cancer

Our previous study has showed doublecortin like kinase 1 (DCLK1) serves as an oncogene to regulate basal-like breast cancer cell proliferation, migration and invasion, and is associated with malignant status and poor prognosis. The aim of this study is to identify microRNAs (miRNAs), which target DCLK1 to regulate basal-like breast cancer cell proliferation, migration and invasion. In our results, we observed that miR-424-5p expression was decreased in basal-like breast cancer tissues and cell lines. Furthermore, we found 3'-UTR of DCLK1 had binding site of miR-424-5p based on microRNA target databases, and there was an inverse correlation between miR-424-5p and DCLK1 in basal-like breast cancer tissues. Moreover, we confirmed miR-424-5p directly targeted to 3'-UTR of DCLK1 through luciferase reporter assay, and miR-424-5p negatively regulated DCLK1 mRNA and protein expressions through qRT-PCR and western blot. The gain-of-function studies showed that miR-424-5p suppressed basal-like breast cancer cell proliferation, migration and invasion. The rescued-function studies suggested up-regulation of DCLK1 could rescue inhibition of miR-424-5p mimics in the regulation of basal-like breast cancer cell proliferation, migration and invasion. Finally, low-expression of miR-424-5p was associated with advanced clinical stage, large tumor size, more metastatic lymph nodes, present distant metastasis and poor histological grade in basal-like breast cancer patients. In conclusion, miR-424-5p is a tumor suppressive microRNA to regulate tumor cell proliferation, migration and invasion via binding to the functional target DCLK1, and associated with malignant status in basal-like breast cancer.

The construction of a panel of serum amino acids for the identification of early chronic kidney disease patients

BACKGROUND

Serum creatinine, urea, and cystatin-c are standardly used for the evaluation of renal function in the clinic. However, some patients have chronic kidney disease but still retain kidney function; a conventional serum index in these patients can be completely normal. Serum amino acid levels can reflect subtle changes in metabolism and are closely related to renal function. Here, we investigated how amino acids change as renal impairment increases.

METHODS

Subjects were divided into three groups by renal function glomerular filtration rate: healthy controls, patients with chronic kidney disease with normal kidney function, and patients with chronic kidney disease with decreased kidney function group. We identified 11 amino acids of interest using LC-MS/MS on MRM (+) mode.

RESULTS

Statistical analysis indicated that alanine (ALA), valine (VAL), and tyrosine (TYR) decrease with renal function impairment, whereas phenylalanine (PHE) and citrulline (CIT) increase. We tried to construct a diagnostic model utilizing a combination of amino acids capable of identifying early chronic kidney disease patients. The accuracy, specificity, and sensitivity of the combining predictors were 86.9%, 84.6%, and 90.9%, respectively, which is superior to the reported values for serum creatinine, urea, and cystatin-c.

CONCLUSION

Our data suggest that serum amino acid levels may supply important information for the early detection of chronic kidney disease. We are the first to establish a diagnostic model utilizing serum levels of multiple amino acids for the diagnosis of patients with early-stage chronic kidney disease.