| Literature DB >> 28425973 |
Abstract
Epitope detection in monocytes (EDIM) represents a liquid biopsy exploiting the innate immune system. Activated monocytes (macrophages) phagocytose unwanted cells/cell fragments from the whole body including solid tissues. As they return to the blood, macrophages can be used for a non-invasive detection of biomarkers, thereby providing high sensitivity and specificity, because the intracellular presence of biomarkers is due to an innate immune response. Flow cytometry analysis of blood enables the detection of macrophages and phagocytosed intracellular biomarkers. In order to establish a pan-cancer test, biomarkers for two fundamental biophysical mechanisms have been exploited. The DNaseX/Apo10 protein epitope is a characteristic of tumor cells with abnormal apoptosis and proliferation. Transketolase-like 1 (TKTL1) is a marker for an anaerobic glucose metabolism (Warburg effect), which is concomitant with invasive growth/metastasis and resistant to radical and apoptosis inducing therapies. The detection of Apo10 and TKTL1 in blood macrophages allowed a sensitive (95.8%) and specific (97.3%) detection of prostate, breast and oral squamous cell carcinomas. Since TKTL1 represents a drugable target, the EDIM based detection of TKTL1 enables a targeted cancer therapy using the vitamin derivatives oxythiamine or benfo-oxythiamine.Entities:
Keywords: DNase; DNaseX; EDIM; Szent-Györgyi; TKTL1; Warburg; liquid biopsy; macrophage; phagocytosis; transketolase
Mesh:
Substances:
Year: 2017 PMID: 28425973 PMCID: PMC5412459 DOI: 10.3390/ijms18040878
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Overview of isotopomer formation through carbon distribution of [1,2-13C2]-glucose. Distribution of carbon atoms from [1,2-13C2]-glucose results in the presence of different kinds of isotopomers from lactate, glutamate and ribose-5-phosphate and reflect the involvement of specific pathways (italic). Ribose-5-phosphate incorporating 3, 4 or 5 13C atoms (m3, m4 and m5) is generated through recirculation of labeled molecules in the pentose phosphate pathway PPP. Carbons are represented by circles. Filled circles represent carbons that have incorporated label form [1,2-13C2]-glucose, open circles represent unlabeled carbons. Circles containing P represent phosphate groups. Abbreviations: m1, m2, isotopologues; 1,3BPG, 1,3-bisphosphoglycerate; 2PG, 2-phosphoglycerate; 3PG, 3-phosphoglycerate; 6PG, 6-phosphogluconate; 6PGL, 6-phosphogluconolactone; AcCoA, acetyl-CoA; Cit, citrate; DHAP, dihydroxyacetone phosphate; E4P, erythrose-4-phosphate; FA, fatty acids; F1,6P2, fructose-1,6-bisphosphate; F6P, fructose-6-phosphate; Fum, fumarate; G3P, glyceraldehyde-3-phosphate; Glc, glucose; G6P, glucose-6-phosphate; Iso, isocitrate; Lac, lactate; Mal, malate; MalCoA, malonyl-CoA; NonOx, nonoxidative; OAA, oxaloacetate; PC, pyruvatecarboxylase; PDH, pyruvatedehydrogenase; PEP, phosphoenolpyruvate; Pyr, pyruvate; R5P, ribose-5-phosphate; Ru5P, ribulose-5-phosphate; S7P, sedoheptulose-7-phosphate; Succ, succinate; SucCoA, succinyl- CoA; TCA, tricarboxylic acid; TKT, Transketolase; TKTL1, Transketolase-like 1; X5P, xylulose-5-phosphate; αKG, α-ketoglutarate. Figure published in [25].
The biological role of DNaseX/Apo10 and TKTL1 protein in healthy cells and the impact of activation/inhibition leading to the different diseases.
| Biomarker | Healthy Cell | Function | Inhibition/Absence > Disease | Activation > Disease |
|---|---|---|---|---|
| DNaseX/Apo10 | endonuclease activity leading to 300 bp DNA fragments | executing final step of apoptosis leading to the elimination of unwanted cells/tumor cells | abnormal cell proliferation and inhibition of apoptosis > arise of tumor cells | |
| TKTL1 | energy release from carbohydrates, glucogenic amino acids and glycerin without generation of ROS | avoiding production of ROS and protection from ROS induced cell damages in particular in retina, testis and stem cells | high levels of ROS leading to cell damages, enhanced aging and premature cell death leading to
Werner-Syndrome male infertility premature neuron death/neurodegeneration (e.g., Alzheimer) | activation in tumor cells leads to prevention and suppression of ROS, reduction of cytochrome c concomitant with increased malignity of tumor cells, inhibition of apoptosis and increased therapy resistance towards radiotherapy, many chemotherapies (e.g., platin derivatives) and targeted therapies like imatinib, sorafenib. |
| conversion/degradation of carbohydrates, glucogenic amino acids and glycerin to acetyl-CoA without loss of carbon atoms | generation of acetyl-CoA as the most important metabolite for synthesis of lipids for cell proliferation. TKTL1 dependent generation of acetyl-CoA is used for anabolic conditions, whereas pyruvatedehydrogenase dependent generation of acetyl-CoA is used for catabolic conditions and energy release by citric acid (Krebs) cycle | inhibition of TKTL1 by thiamine deficiency increase/induce chronic diabetes complications. Inhibition of TKTL1/TKT by oxythiamine created by certain cooking conditions leads to end-stage renal disease. | ||
| conversion/degradation of carbohydrates, glucogenic amino acids and glycerin to ribose and desoxyribose for DNA/mRNA synthesis and increased generation of NADPH by the oxidative part of the pentose phosphate pathway | generation of DNA and mRNA. Control of RedOx homeostasis by NADPH and glutathione. | enhanced DNA damage in healthy cells lead to premature aging | enhanced repair of DNA damages in tumor cells leads to therapy resistance towards radio- and many chemotherapies e.g., platin derivatives | |
| oxygen independent energy release and production of lactic acid even in the presence of oxygen and stabilization of HIF1α | cell survival under hypoxic conditions represents a survival mechanism for cells with no more access to blood oxygen caused by ischemia or infarct | absence of lactic acid based matrix degradation and invasive growth lead to inhibition of wound healing e.g., in diabetes patients | activation in tumor cells leads to a lactic acid based matrix degradation and concomitant to invasive growth and metastasis as well as resistance towards anti-angiogenic treatment e.g., avastin and erbitux | |
| activation in tumor cells leads lactic acid based inhibition of T and NK cells = protection from immune system attack | ||||
| confers cell survival and resistance to growth stimulus withdrawal e.g., hormone ablation | allows survival as single cell migrating in the body | resistance towards hormone ablation therapy e.g., androgen ablation therapy |
Figure 2Role of TKTL1 in cancer cells. Contribution of TKTL1 and its metabolites to important hallmarks of cancer leading to increased malignity, survival, immune escape, therapy resistance and distribution of cancer cells in the body. “arrow up” indicates increase, arrow down indicates decrease.
Pre- and post-operative epitope detection in monocytes (EDIM)-Apo10 and TKTL1 scores in patients with (a) oral squamous cell carcinoma (b) breast cancer (c) prostate cancer. Table published in [2].
| ( | |||||
| Patients | Total | Apo10 score | TKTL1 score | Apo10 score | TKTL1 score |
| Patient 1 | 143 | 134 | 102 | 111 | |
| Patient 2 | 119 | 146 | 99 | 102 | |
| Patient 3 | 124 | 121 | 100 | 93 | |
| ( | |||||
| Patients | Total | Apo10 score | TKTL1 score | Apo10 score | TKTL1 score |
| Patient 1 | 161 | 129 | 81 | 100 | |
| Patient 2 | 126 | 155 | 96 | 77 | |
| Patient 3 | 133 | 132 | 98 | 89 | |
| ( | |||||
| Patients | Total | Apo10 score | TKTL1 score | Apo10 score | TKTL1 score |
| Patient 1 | 155 | 149 | 98 | 99 | |
| Patient 2 | 144 | 166 | 93 | 106 | |
| Patient 3 | 153 | 165 | 93 | 101 | |
| Patient 4 | 162 | 143 | 105 | 104 | |
| Patient 5 | 139 | 149 | 102 | 88 | |
| Patient 6 | 158 | 144 | 95 | 95 | |
Figure 3Receiver Operating Characteristics (ROC) analysis of epitope detection in monocytes (EDIM)-Apo10, EDIM-TKTL1, and combined EDIM Apo10/TKTL1 score in all cancer samples (OSCC, breast and prostate cancer, n = 213) compared with healthy individuals (n = 74). The true positive rates (sensitivity) are plotted in functions of the false positive rate (100-specificity) for measurement of the cut-off point: ROC analysis for the diagnosis of all cancer samples/entities (OSCC, breast and prostate cancer, a–c) shows calculated cut-off value with highest diagnostic accuracy (arrows) of EDIM-Apo10 (a), EDIM-TKTL1 (b), and combined EDIM Apo10/TKTL1 (c) score (a, EDIM-Apo10 score >109: sensitivity 92.0%, 95% confidence interval (CI) 87.5–95.3%, specificity 94.6%, 95% CI 86.7–98.5%; b, EDIM-TKTL1 score >117: sensitivity 90.6%, 95% CI 85.9–94.2%, specificity 95.9%, 95% CI 88.6–99.2%; c, combined EDIM-Apo10 plus EDIM-TKTL1 score >227: sensitivity 95.8%, 95% CI 92.1–98.0%, specificity 97.3%, 95% CI 90.6–99.7%). Dotted lines show 95% CI. OSCC, oral squamous cell carcinoma; BC, breast cancer; PC, prostate cancer. In the interactive dot diagrams (part of ROC curve analysis, d–f), the data of healthy controls and cancer group are displayed as dots on two vertical axes. The horizontal line indicates the cut-off points with the best separation/highest accuracy (minimal false negative and false positive results) between healthy controls and cancer group. The corresponding test characteristics sensitivity and specificity are shown above. Figure published in [2, additional file 13].