|Year : 2017 | Volume
| Issue : 16 | Page : 1961-1967
Label-free Detection for a DNA Methylation Assay Using Raman Spectroscopy
Jeongho Kim1, Hae Jeong Park2, Jae Hyung Kim1, Boksoon Chang3, Hun-Kuk Park4
1 Department of Biomedical Engineering, College of Medicine, Kyung Hee University, Seoul 02447, Korea
2 Department of Pharmacology, College of Medicine, Kyung Hee University, Seoul 02447, Korea
3 Department of Pulmonary and Critical Care Medicine, Kyung Hee University Hospital at Gangdong, Seoul 05278, Korea
4 Department of Biomedical Engineering, College of Medicine, Kyung Hee University, Seoul 02447; Department of Medical Engineering, Graduate School, Kyung Hee University, Seoul 02447, Korea
|Date of Web Publication||1-Aug-2017|
Source of Support: None, Conflict of Interest: None
Background: DNA methylation has been suggested as a biomarker for early cancer detection and treatment. Varieties of technologies for detecting DNA methylation have been developed, but they are not sufficiently sensitive for use in diagnostic devices. The aim of this study was to determine the suitability of Raman spectroscopy for label-free detection of methylated DNA.
Methods: The methylated promoter regions of cancer-related genes cadherin 1 (CDH1) and retinoic acid receptor beta (RARB) served as target DNA sequences. Based on bisulfite conversion, oligonucleotides of methylated or nonmethylated probes and targets were synthesized for the DNA methylation assay. Principal component analysis with linear discriminant analysis (PCA-DA) was used to discriminate the hybridization between probes and targets (methylated probe and methylated target or nonmethylated probe and nonmethylated target) of CDH1 and RARB from nonhybridization between the probe and targets (methylated probe and nonmethylated target or nonmethylated probe and methylated target).
Results: This study revealed that the CDH1 and RARB oligo sets and their hybridization data could be classified using PCA-DA. The classification results for CDH1 methylated probe + CDH1 methylated target versus CDH1 methylated probe + CDH1 unmethylated target showed sensitivity, specificity, and error rates of 92%, 100%, and 8%, respectively. The classification results for the RARB methylated probe + RARB methylated target versus RARB methylated probe + RARB unmethylated target showed sensitivity, specificity, and error rates of 92%, 93%, and 11%, respectively.
Conclusions: Label-free detection of DNA methylation could be achieved using Raman spectroscopy with discriminant analysis.
Keywords: DNA Methylation; Label-free Detection; Linear Discriminant Analysis; Principal Component Analysis; Raman Spectroscopy
|How to cite this article:|
Kim J, Park HJ, Kim JH, Chang B, Park HK. Label-free Detection for a DNA Methylation Assay Using Raman Spectroscopy. Chin Med J 2017;130:1961-7
|How to cite this URL:|
Kim J, Park HJ, Kim JH, Chang B, Park HK. Label-free Detection for a DNA Methylation Assay Using Raman Spectroscopy. Chin Med J [serial online] 2017 [cited 2018 Mar 21];130:1961-7. Available from: http://www.cmj.org/text.asp?2017/130/16/1961/211874
Jeongho Kim and Hae Jeong Park contributed equally to this work.
| Introduction|| |
DNA methylation is an essential component of epigenetics and plays a critical role in many biological events. DNA methylation in mammals has been observed in guanine-cytosine rich regions, also known as 5′-cytidine-phosphate-guanosine-3′ (CpG) islands, which are frequently located in or near gene promoter regions. DNA methylation refers to the addition of methyl groups to cytosine nucleotides in the CpG islands of genes. Methylation of CpG islands can directly prevent transcription factor binding and lead to changes in the chromatin structure that restrict the access of transcription factors to the gene promoter, causing silencing of gene expression.,, Recent studies have shown that alterations in the DNA methylation of tumor-related genes might lead to cancer., Thus, altered methylation of the promoters in several genes has been used as a biomarker for early cancer diagnosis and prognosis.,,
Various techniques for detecting DNA methylation patterns have been developed. Bisulfite conversion is commonly used to analyze gene-specific DNA methylation. Treatment of DNA with bisulfite converts cytosine to uracil while leaving methylated cytosine intact; the methylated regions in DNA can then be detected as bisulfite-induced sequence differences. Polymerase chain reaction (PCR)-based methods are routinely used to study DNA methylation on a gene-specific basis after bisulfite treatment, including bisulfite sequencing, methylation-specific PCR, real-time PCR-based MethyLight, and methylation-sensitive high-resolution melting PCR. In addition, whole-epigenome profiling technologies can be used after bisulfite modification. Identification of DNA methylation through bisulfite conversion does not require costly and complex instruments, enabling the analysis of specific single CpG sites. However, this approach may lead to false-positives and lacks sufficient sensitivity for direct screening of challenging samples with minimal DNA content.
Raman spectroscopy has been extensively applied in the examination and characterization of molecular monolayers and various biological surfaces.,, Previous studies ,,,, have detected DNA methylation by Raman spectroscopy. However, there are some limitations to the clinical application of Raman spectroscopy, such as the similarity of signals from single- and double-stranded DNA. To overcome those limitations, Wang et al. proposed using embedded internal surface-enhanced Raman scattering (SERS) nanotags to quantify DNA. Several other approaches such as high-performance liquid chromatography and high-performance capillary electrophoresis have also been examined. Raman spectroscopy is a label-free method with several advantages compared to fluorescence-based methods, because it can detect multiple sites of nucleoside methylation in DNA simultaneously., In addition, no chemical additives are required, minimizing unexpected chemical changes in samples., Raman bands represent molecular fingerprints with narrow bandwidths, enabling detection of multiple sites.,
This study evaluated label-free detection of DNA methylation based on bisulfite conversion to develop a sensitive and selective DNA methylation assay. We used methylated DNA probes to capture methylated targets, which were oligonucleotides from the promoter regions of cancer-related genes (cadherin 1 [CDH1], and retinoic acid receptor beta [RARB]) as a detection model. Methylation and expression changes in CDH1 and RARB in human cancers are well documented. CDH1 is a cell adhesion molecule that plays an important role in cell growth and development. The loss of function of this gene is thought to contribute to cancer progression. Downregulation of CDH1 is correlated with decreased efficiency of cellular adhesion, which facilitates cellular motility to accelerate the invasion of surrounding tissues by cancer cells. Increased methylation of CDH1 has also been found in several cancers, suggesting that it is a causative factor for the loss of CDH1 expression.RARB is a member of the thyroid-steroid hormone receptor superfamily of nuclear transcriptional regulators. RARB binds retinoic acid, the biologically active form of vitamin A, which mediates cellular signaling in embryonic morphogenesis, cell growth, and differentiation. RARB expression is frequently lost in primary tumors and during metastasis compared to in adjacent noncancerous tissues. Aberrant methylation of the RARB promoter has been observed in various malignant tumors including breast, colon, prostate, and lung cancers., The purpose of this study was to discriminate DNA methylation from nonmethylation using Raman spectral data examined by multivariate principal component analysis with linear discriminant analysis (PCA-DA).
| Methods|| |
Based on bisulfite modification methods, methylated probes containing methylated cytosine and nonmethylated probes containing thymine (T) rather than uracil were used as described previously. Methylated and nonmethylated targets were complementary sequences of methylated and nonmethylated probes, respectively. Probe and target sequences in CDH1 and RARB are shown in [Table 1]. All oligonucleotide sequences of probes and targets were customized by Macrogen Inc. (Seoul, Korea).
|Table 1: Sequences of probe and target oligonucleotides from genes CDH1 and RARB|
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Preparation of probe and target oligonucleotides
For Raman spectra analysis, oligonucleotides were dissolved in DNase- and RNase-free water at 100 pmol/L. Raman spectra of each methylated/nonmethylated target and probe were acquired after lyophilization of the dissolved oligonucleotides. To record the Raman spectra for binding or nonbinding of methylated/nonmethylated targets and probes, dissolved oligonucleotides of a methylated/nonmethylated target were added to those of methylated/nonmethylated probes at a 1:1 ratio and hybridized for 5 min at room temperature. The mixtures were stored at −70°C and then lyophilized. Sequences of probe and target oligonucleotides from CDH1 and their hybridization were abbreviated as follows: methylated probe (CMP), unmethylated probe (CUMP), methylated target (CMT), unmethylated target (CUMT), CMP + CMT, CMP + CUMT, CUMP + CMT, and CUMP + CUMT. Sequences of probe and target oligonucleotides from RARB and their hybridization were defined as follows: methylated probe (RMP), unmethylated probe (RUMP), methylated target (RMT), unmethylated target (RUMT), RMP + RMT, RMP + RUMT, RUMP + RMT, and RUMP + RUMT.
Raman spectra of the bench top type were recorded on a spectroscope (Bruker Optics, Billerica, MA, USA) with a diode laser beam at an excitation wavelength of 785 nm. The benchtop Raman scattered light signal was collected with a × 50 object lens. The laser source with power 25 mW was focused on a SERS substrate with a spot diameter (or a sampling area) of 2 μm. All spectra were acquired at 417–1782 cm −1 at a spectral resolution 0.5 cm −1. The acquisition time for CDH1 and RARB was 60 s. The procedure was repeated five times to record the Raman spectra using a freeze-dried powder of each sample. Baseline correction was accomplished using OPUS 7.1 software (Bruker Optics Inc., Billerica, USA). The dataset was normalized to 1002 cm −1 without smoothing. Five results from repeated procedures from each normalized sample were averaged, and standard deviation was calculated for line plotting. The average was plotted as a solid line, while standard deviation was presented as a filled area.
PCA was applied to the Raman spectra of the CDH1 and RARB groups to distinguish the spectral features and classify different samples. PCA was commonly used to qualitatively discriminate the patterns in data with many dimensions. Linear discriminant analysis (LDA) was then used for a two-group classification problem (quantitative discrimination of different pairwise reactions of hybridization). Sensitivity, specificity, and error could be calculated by LDA using the first three principal components. We calculated sensitivity as true-positives (TP)/(TP + false-positives [FN]), specificity as true-negatives (TN)/(TN + false-positives [FP]), and error as (FN + FP)/(FN + TN + FP + TP). PCA and LDA of the data were executed using the built-in R functions prcomp () and lda (). R version 3.2.5 originally developed at Bell Laboratories (Murray Hill, NJ, USA) was used. We performed LDA for two-group classification problems such as CMP + CMT versus CMP + CUMT, CUMP + CMT versus CUMP + CUMT, RMP + RMT versus RMP + RUMT, and RUMP + RMT versus RUMP versus RUMT. To determine whether methylated probes of CDH1 and RARB were specifically bound to only their methylated targets and not to their unmethylated targets, and that un-methylated probes were bound to only their un-methylated targets and not their methylated targets, the hybridization between methylated probe and methylated target was compared to that between the methylated probe and un-methylated target using PCA-DA. In addition, hybridization between un-methylated probes and un-methylated targets was compared to hybridization between un-methylated probes and methylated targets.
| Results|| |
Each methylated/nonmethylated probe and target from CDH1 and RARB were analyzed by Raman spectroscopy to define the indicative spectral signatures of individual oligonucleotides (probes and targets) [Figure 1]a and [Figure 2]a. After acquiring the Raman spectra of lyophilized samples, the spectra were normalized to the peak showing the highest intensity and offset for clarity. The spectral bands matched those reported previously for DNA identified by Raman peaks at 497 cm −1 (S-S stretch), 599 cm −1 (N1-H [cytosine], NH2), 620 cm −1 (phenylalanine), 679 cm −1 (guanine), 724 cm −1 (DNA/RNA, adenine ring breathing), 747 cm −1 (thymine), 780 cm −1 (thymine), 1003 cm −1 (symmetric ring breathing in phenylalanine), 1030 cm −1 (phenylalanine), 1100 cm −1 (C-C stretch [C, G, C (me)]), 1179 cm −1 (thymine, cytosine), 1252 cm −1 (C6-H, N1-H, C5-H [cytosine]), 1336 cm −1 (guanine), 1369 cm −1 (guanine), 1420 cm −1 (adenine, deoxyribose), 1478 cm −1 (adenine), 1575 cm −1 (pyrimidine rings [cytosine]), 1613 cm −1 (NH2 bending, C4-NH2 cm −1 [cytosine]), and 1655 cm −1 (C=O stretch α-helix; amide I) [Table 2].,,, As shown in [Figure 1]a, the Raman spectra of CMP and CUMP showed similar patterns. The patterns of CMT and CUMT were also similar. In contrast, a difference in relative peak intensities was observed between CMP and CUMP at 724, 780, 837, and 1420 cm −1. The peak intensities of CMT were greater than those of CUMT across the Raman bands. These tendencies were also observed in the Raman spectra of RMP, RUMP, RMT, and RUMT [Figure 2]a.
|Table 2: Raman peak positions and assignment of major vibrational bands observed in CDH1 or RARB oligo sets and their hybridization detected by Raman spectroscopy|
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|Figure 1: Raman spectra for target and probe oligonucleotides derived from CDH1 (a), and forhybridization reactions of methylated/nonmethylated probes and targets (b). The thick lines show the average Raman spectra, whereas the shaded areas represent standard deviations. CMP: CDH1 methylated probe; CMT: CDH1 methylated target; CUMT: CDH1 unmethylated target; CUMP: CDH1 unmethylated probe; CDH1: Cadherin 1; RARB: Retinoic acid receptor beta.|
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|Figure 2: Raman spectra for target and probe oligonucleotides derived from RARB (a), and forhybridization reactions of methylated/nonmethylated probes and targets (b). The thick lines show the average Raman spectra, whereas the shaded areas represent standard deviations. RMP: RARB methylated probe; RMT: RARB methylated target; RUMT: RARB unmethylated target; RUMP: RARB unmethylated probe; CDH1: Cadherin 1; RARB: Retinoic acid receptor beta|
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The Raman spectra of RMP and RUMP and those of RMT and RUMT were similar. In contrast, the peak intensities of the Raman spectra differed between RMP and RUMP at 497, 679, 1179, 1252, 1369, and 1478 cm −1. The peak intensity of RMT was greater than that of RUMT at 1478 cm −1. The differences in peak intensities may be because of differences in two oligonucleotides between methylated probes (cytosine) and nonmethylated probes (thymine) as well as between methyl targets (guanine) and nonmethylated targets (adenine). CMT and CUMP showed distinctive peaks at 747 cm −1 and 1179 cm −1, respectively, while CMT and CUMT showed peaks at 1508 cm −1. Representative peaks of RMP, RUMP, RMT, and RUMT corresponded to the CDH1 oligo sets.
To determine whether binding and nonbinding (or nonspecific binding) between probes and targets were distinguished by Raman spectroscopy, we recorded the Raman spectra after hybridization of methylated/nonmethylated probes and targets. The hybridization of methylated/nonmethylated probes and targets in RARB group was similar to those of CDH1 oligo sets [Figure 1]b. After hybridization of RMP with either RMT or RUMT [Figure 2]b, the relative peak intensities of Raman spectra of RMP + RMT and RMP + RUMT differed at 679, 780, 1100, and 1575 cm −1. [Figure 2]b shows that the Raman spectra of RUMP hybridized with either RMT or RUMT appeared similar, but the Raman spectra of RUMP + RMT showed higher intensity than that of RUMP + RUMT between 1100 and 1782 cm −1.
We performed PCA on CDH1 oligo sets and their hybridization reactions [Figure 3]a. Six groups (CMP, CUMP, CMT, CUMT, CMP + CMT, and CMP + CUMT) were distinctly classified, while the boundary between the CUMP + CMT group and CUMP + CUMT group was ambiguous. We evaluated two PCA tests to determine whether we could define a boundary between CMP + CMT and CMP + CUMT or between CUMP + CMT and CUMP + CUMT. [Figure 3]b and [Figure 3]c show that each hybridization reaction was clearly classified, depending on binding and nonbinding (or nonspecific binding). We also conducted PCA for RARB oligo sets and their hybridization reactions. [Figure 4]a shows that four hybridized samples (RMP + RMT, RMP + RUMT, RUMP + RMT, and RUMP + RUMT) had ambiguous boundaries. To classify these samples, we conducted PCA for RMT or RUMT hybridized with RMP and were able to distinguish the boundaries, as shown in [Figure 4]b. Similarly, the PCA results for RMT or RUMT hybridized to RUMP were sufficiently different [Figure 4]c.
|Figure 3: Principal component analysis for target and probe oligonucleotides of group CDH1 and hybridization reactions of methylated/nonmethylated probes and targets (a), CMT and CUMT hybridized with CMP (b), and CMT and CUMT hybridized with CUMP (c). CMP: CDH1 methylated probe; CMT: CDH1 methylated target; CUMT: CDH1 unmethylated target; CUMP: CDH1 unmethylated probe; CDH1: Cadherin 1; RARB: Retinoic acid receptor b|
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|Figure 4: Principal component analysis for target and probe oligonucleotides of group RARB and hybridization reactions of these methylated/nonmethylated probes and targets (a), RMT and RUMT hybridized with RMP (b), and RMT and RUMT hybridized with RUMP (c). RMP: RARB methylated probe; RMT: RARB methylated target; RUMT: RARB unmethylated target; RUMP: RARB unmethylated probe; CDH1: Cadherin 1; RARB: Retinoic acid receptor beta.|
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[Table 3] shows the classification results for two-group classification problems such as CMP + CMT versus CMP + CUMT, CUMP + CMT versus CUMP + CUMT, RMP + RMT versus RMP + RUMT, and RUMP + RMT versus RUMP versus RUMT using PCA-DA. After PCA for four two-group classifications, sensitivity, specificity, and error were calculated by LDA using the first three principal components [Figure 3]b, [Figure 3]c and [Figure 4]b, [Figure 4]c. The classification data yielded the best results for sensitivity, specificity, and error with values of 94%, 92%, and 13%, respectively.
| Discussion|| |
CpG methylation in the promoter region of a gene has been reported to contribute to tumorigenesis, corresponding to the gain of function of oncogenes and loss of function of tumor suppressor genes. Accordingly, DNA methylation has been recognized as a biomarker for identifying cancer etiology, particularly during early stages, and monitoring the progression of malignant tumors. In the present study, we detected DNA methylation patterns of the cancer-related genes CDH1 and RARB using Raman spectroscopy and PCA-DA, which cannot be qualitatively differentiated only by Raman spectra or PCA. The PCA-DA developed for DNA methylation analysis in this study showed that methylated targets were detected with high sensitivity and specificity. Previous studies also demonstrated the usefulness of PCA-DA to qualitatively classify Raman data to compare two groups. Choi et al. utilized PCA-DA to differentiate plasma-treated cells from control cells. Their classification results were accurate, sensitive, and specific (91%, 87%, and 99%, respectively). Liu et al. measured Raman spectra of human colorectal tissue samples and employed PCA-LDA to discriminate cancerous from normal tissues, showing a diagnostic accuracy of 79.2%. Accuracy and sensitivity may further be improved by introducing non-LDA such as quadratic or orthogonal quadratic discriminant functions., In the future studies, we plan to quantify multiple methylation proportions for early cancer detection and treatment. Furthermore, experimental and clinical DNA samples from a variety of cancer cell lines and tissues from cancer patients will be included to verify the accuracy and utility of label-free Raman detection in a DNA methylation assay.
In conclusion, we collected Raman spectra for CDH1 and RARB oligo sets and their hybridizations to detect DNA methylation. We also used PCA to classify CMT and CUMT hybridized with CMP, and RMT and RUMT hybridized with RMP. The PCA results showed that DNA methylation and nonmethylation of cancer-related genes can be discriminated by Raman spectroscopy by analyzing the binding or nonbinding of specific probes. Therefore, label-free detection of DNA methylation in marker genes was achieved by Raman spectroscopy. This technique is useful for developing point-of-care medical devices for early cancer diagnosis.
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Conflicts of interest
There are no conflicts of interest.
| References|| |
Baylin SB, Jones PA. A decade of exploring the cancer epigenome – Biological and translational implications. Nat Rev Cancer 2011;11:726-34. doi: 10.1038/nrc3130.
Fraga MF, Esteller M. DNA methylation: A profile of methods and applications. Biotechniques 2002;33:632-49.
Feinberg AP, Vogelstein B. Hypomethylation distinguishes genes of some human cancers from their normal counterparts. Nature 1983;301:89-92. doi: 10.1038/301089a0.
Esteller M. CpG island hypermethylation and tumor suppressor genes: A booming present, a brighter future. Oncogene 2002;21:5427-40. doi: 10.1038/sj.onc.1205600.
Robertson KD, Wolffe AP. DNA methylation in health and disease. Nat Rev Genet 2000;1:11-9. doi: 10.1038/35049533.
Laird PW. The power and the promise of DNA methylation markers. Nat Rev Cancer 2003;3:253-66. doi: 10.1038/nrc1045.
Yu J, Cheng YY, Tao Q, Cheung KF, Lam CN, Geng H, et al.
Methylation of protocadherin 10, a novel tumor suppressor, is associated with poor prognosis in patients with gastric cancer. Gastroenterology 2009;136:640-51. doi: 10.1053/j.gastro.2008.10.050.
Müller HM, Widschwendter A, Fiegl H, Ivarsson L, Goebel G, Perkmann E, et al
. DNA methylation in serum of breast cancer patients: An independent prognostic marker. Cancer Res 2003;63:7641-5.
Wani K, Aldape KD. PCR techniques in characterizing DNA methylation. Methods Mol Biol 2016;1392:177-86. doi: 10.1007/978-1-4939-3360-0_16.
Hu J, Zhang CY. Single base extension reaction-based surface enhanced Raman spectroscopy for DNA methylation assay. Biosens Bioelectron 2012;31:451-7. doi: 10.1016/j.bios.2011.11.014.
Liu R, Zhu S, Si M, Liu Z, Zhang D. Surface-enhanced Raman scattering-based approach for DNA detection at low concentrations via polyvinyl alcohol-protected silver grasslike patterns. J Raman Spectrosc 2012;43:370-9.
Talari A, Evans C, Holen I, Coleman R, Rehman IU. Raman spectroscopic analysis differentiates between breast cancer cell lines. J Raman Spectrosc 2015;46:421-7. doi: 10.1002/jrs.4676.
Wang Y, Wee EJ, Trau M. Accurate and sensitive total genomic DNA methylation analysis from sub-nanogram input with embedded SERS nanotags. Chem Commun (Camb) 2016;52:3560-3. doi: 10.1039/c6cc00547k.
Barhoumi A, Halas NJ. Detecting chemically modified DNA bases using surface enhanced Raman spectroscopy. J Phys Chem Lett 2011;2:3118-23. doi: 10.1021/jz201423b.
Wang Y, Wee EJ, Trau M. Highly sensitive DNA methylation analysis at CpG resolution by surface-enhanced Raman scattering via ligase chain reaction. Chem Commun (Camb) 2015;51:10953-6. doi: 10.1039/c5cc03921e.
Guerrini L, Krpetic Ž, van Lierop D, Alvarez-Puebla RA, Graham D. Direct surface-enhanced Raman scattering analysis of DNA duplexes. Angew Chem Int Ed Engl 2015;54:1144-8. doi: 10.1002/anie.201408558.
Zhou Z, Han X, Huang GG, Ozaki Y. Label-free detection of binary mixtures of proteins using surface-enhanced Raman scattering. J Raman Spectrosc 2012;43:706-11. doi: 10.1002/jrs.3085.
Shiozaki H, Oka H, Inoue M, Tamura S, Monden M. E-cadherin mediated adhesion system in cancer cells. Cancer 1996;77 8 Suppl: 1605-13. doi: 10.1002/(SICI)1097-0142(19960415) 77:8<1605::AID-CNCR28>3.0.CO;2-2.
Tsanou E, Peschos D, Batistatou A, Charalabopoulos A, Charalabopoulos K. The E-cadherin adhesion molecule and colorectal cancer. A global literature approach. Anticancer Res 2008;28:3815-26.
Bornman DM, Mathew S, Alsruhe J, Herman JG, Gabrielson E. Methylation of the E-cadherin gene in bladder neoplasia and in normal urothelial epithelium from elderly individuals. Am J Pathol 2001;159:831-5. doi: 10.1016/S0002-9440(10)61758-0.
Mehrotra J, Vali M, McVeigh M, Kominsky SL, Fackler MJ, Lahti-Domenici J, et al.
Very high frequency of hypermethylated genes in breast cancer metastasis to the bone, brain, and lung. Clin Cancer Res 2004;10:3104-9. doi: 10.1158/1078-0432.CCR-03-0118.
Moison C, Assemat F, Daunay A, Tost J, Guieysse-Peugeot AL, Arimondo PB. Synergistic chromatin repression of the tumor suppressor gene RARB in human prostate cancers. Epigenetics 2014;9:477-82. doi: 10.4161/epi.27869.
Virmani AK, Rathi A, Zöchbauer-Müller S, Sacchi N, Fukuyama Y, Bryant D, et al
. Promoter methylation and silencing of the retinoic acid receptor-beta gene in lung carcinomas. J Natl Cancer Inst 2000;92:1303-7.
Shin Y, Perera AP, Kee JS, Song J, Fang Q, Lo GQ, et al
. Label-free methylation specific sensor based on silicon microring resonators for detection and quantification of DNA methylation biomarkers in bladder cancer. Sens Actuators B 2013;177:404-11. doi: 10.1016/j.snb.2012.11.058.
Kelly JG, Najand GM, Martin FL. Characterisation of DNA methylation status using spectroscopy (mid-IR versus Raman) with multivariate analysis. J Biophotonics 2011;4:345-54. doi: 10.1002/jbio.201000085.
Pandya AK, Serhatkulu GK, Cao A, Kast RE, Dai H, Rabah R, et al.
Evaluation of pancreatic cancer with Raman spectroscopy in a mouse model. Pancreas 2008;36:e1-8. doi: 10.1097/MPA.0b013e31815a3f1c.
Schulze HG, Konorov SO, Piret JM, Blades MW, Turner RF. Label-free imaging of mammalian cell nucleoli by Raman microspectroscopy. Analyst 2013;138:3416-23. doi: 10.1039/c3an00118k.
An JH, Choi DK, Lee KJ, Choi JW. Surface-enhanced Raman spectroscopy detection of dopamine by DNA targeting amplification assay in Parkisons's model. Biosens Bioelectron 2015;67:739-46. doi: 10.1016/j.bios.2014.10.049.
Ng JM, Yu J. Promoter hypermethylation of tumour suppressor genes as potential biomarkers in colorectal cancer. Int J Mol Sci 2015;16:2472-96. doi: 10.3390/ijms16022472.
Fernandez AF, Assenov Y, Martin-Subero JI, Balint B, Siebert R, Taniguchi H, et al.
A DNA methylation fingerprint of 1628 human samples. Genome Res 2012;22:407-19. doi: 10.1101/gr.119867.110.
Choi JS, Kim J, Hong YJ, Bae WY, Choi EH, Jeong JW, et al
. Evaluation of non-thermal plasma-induced anticancer effects on human colon cancer cells. Biomed Opt Express 2017;8:2649-59. doi: 10.1364/BOE.8.002649.
Liu W, Sun Z, Chen J, Jing C. Raman spectroscopy in colorectal cancer diagnostics: Comparison of PCA-LDA and PLS-DA models. J Spectrosc 2016. doi: 10.1155/2016/1603609.
Stables R, Clemens G, Butler HJ, Ashton KM, Brodbelt A, Dawson TP, et al.
Feature driven classification of Raman spectra for real-time spectral brain tumour diagnosis using sound. Analyst 2016;142:98-109. doi: 10.1039/c6an01583b.
Feng S, Wang W, Tai IT, Chen G, Chen R, Zeng H. Label-free surface-enhanced Raman spectroscopy for detection of colorectal cancer and precursor lesions using blood plasma. Biomed Opt Express 2015;6:3494-502. doi: 10.1364/BOE.6.003494.
[Figure 1], [Figure 2], [Figure 3], [Figure 4]
[Table 1], [Table 2], [Table 3]