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  1. Article ; Online: The Epigenetic Factors that Drive Cancer Drug Resistance.

    Bacolod, Manny D

    Current cancer drug targets

    2021  Volume 21, Issue 4, Page(s) 269–273

    MeSH term(s) Antineoplastic Agents/pharmacology ; Drug Resistance, Neoplasm/genetics ; Epigenesis, Genetic/physiology ; Gene Expression Regulation, Neoplastic ; Humans
    Chemical Substances Antineoplastic Agents
    Language English
    Publishing date 2021-07-14
    Publishing country Netherlands
    Document type Editorial
    ZDB-ID 2064824-8
    ISSN 1873-5576 ; 1568-0096
    ISSN (online) 1873-5576
    ISSN 1568-0096
    DOI 10.2174/156800962104210527150438
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: A Unified Transcriptional, Pharmacogenomic, and Gene Dependency Approach to Decipher the Biology, Diagnostic Markers, and Therapeutic Targets Associated with Prostate Cancer Metastasis.

    Bacolod, Manny D / Barany, Francis

    Cancers

    2021  Volume 13, Issue 20

    Abstract: Our understanding of metastatic prostate cancer (mPrCa) has dramatically advanced during the genomics era. Nonetheless, many aspects of the disease may still be uncovered through reanalysis of public datasets. We integrated the expression datasets for ... ...

    Abstract Our understanding of metastatic prostate cancer (mPrCa) has dramatically advanced during the genomics era. Nonetheless, many aspects of the disease may still be uncovered through reanalysis of public datasets. We integrated the expression datasets for 209 PrCa tissues (metastasis, primary, normal) with expression, gene dependency (GD) (from CRISPR/cas9 screen), and drug viability data for hundreds of cancer lines (including PrCa). Comparative statistical and pathways analyses and functional annotations (available inhibitors, protein localization) revealed relevant pathways and potential (and previously reported) protein markers for minimally invasive mPrCa diagnostics. The transition from localized to mPrCa involved the upregulation of DNA replication, mitosis, and PLK1-mediated events. Genes highly upregulated in mPrCa and with very high average GD (~1) are potential therapeutic targets. We showed that fostamatinib (which can target PLK1 and other over-expressed serine/threonine kinases such as AURKA, MELK, NEK2, and TTK) is more active against cancer lines with more pronounced signatures of invasion (e.g., extracellular matrix organization/degradation). Furthermore, we identified surface-bound (e.g., ADAM15, CD276, ABCC5, CD36, NRP1, SCARB1) and likely secreted proteins (e.g., APLN, ANGPT2, CTHRC1, ADAM12) that are potential mPrCa diagnostic markers. Overall, we demonstrated that comprehensive analyses of public genomics data could reveal potentially clinically relevant information regarding mPrCa.
    Language English
    Publishing date 2021-10-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers13205158
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: MGMT Epigenetics: The Influence of Gene Body Methylation and Other Insights Derived from Integrated Methylomic, Transcriptomic, and Chromatin Analyses in Various Cancer Types.

    Bacolod, Manny D / Barany, Francis

    Current cancer drug targets

    2021  Volume 21, Issue 4, Page(s) 360–374

    Abstract: Background: MGMT (O6-methylguanine-DNA methyltransferase) is primarily responsible for limiting the activity of some widely used chemotherapeutic agents, including temozolomide (TMZ) and carmustine (BCNU). The gene encoding this protein is ... ...

    Abstract Background: MGMT (O6-methylguanine-DNA methyltransferase) is primarily responsible for limiting the activity of some widely used chemotherapeutic agents, including temozolomide (TMZ) and carmustine (BCNU). The gene encoding this protein is epigenetically regulated, and assessment of methylation at its promoter region is used to predict glioma patients' response to TMZ.
    Methods: In this report, we employed a bioinformatic approach to elucidate MGMT's epigenetic regulation. Integrated for the analysis were genome-wide methylation and transcription datasets for > 8,600 human tissue (representing 31 distinct cancer types) and 500 human cancer cell line samples. Also crucial to the interpretation of results were publicly available data from the ENCODE Project: tracks for histone modifications (via ChIP-seq) and DNase I hypersensitivity (via DNaseseq), as well as methylation and transcription data for representative cell lines (HeLa-S3, HMEC, K562).
    Results and discussion: We were able to validate (perhaps more comprehensively) the contrasting influences of CpG methylation at promoter region and at gene body on MGMT transcription. While the MGMT promoter is populated by CpG sites whose methylation levels displayed high negative correlation (R) with MGMT mRNA counts, the gene body harbors CpG sites exhibiting high positive R values. The promoter CpG sites with very high negative R's across cancer types include cg12981137, cg12434587, and cg00618725. Among the notable gene body CpG sites (high positive R's across cancer types) are cg00198994 (Intron 1), cg04473030 (Intron 2), and cg07367735 (Intron 4). For certain cancer types, such as melanoma, gene body methylation appears to be a better predictor of MGMT transcription (compared to promoter methylation). In general, the CpG methylation v. MGMT expression R values are higher in cell lines relative to tissues. Also, these correlations are noticeably more prominent in certain cancer types such as colorectal, adrenocortical, esophageal, skin, and head and neck cancers, as well as glioblastoma. As expected, hypomethylation at the promoter region is associated with more open chromatin, and enrichment of histone marks H3K4m1, H3K4m2, H3K4m3, and H3K9ac.
    Conclusion: Overall, our analysis illustrated the contrasting influence of promoter and gene body methylation on MGMT expression. These observations may help improve diagnostic assays for MGMT.
    MeSH term(s) Antineoplastic Agents, Alkylating/pharmacology ; Carmustine/pharmacology ; Cell Line, Tumor ; Computational Biology/methods ; CpG Islands/physiology ; DNA Methylation/physiology ; Drug Resistance, Neoplasm/genetics ; Epigenesis, Genetic ; Gene Expression Regulation, Neoplastic ; Histone Code ; Humans ; Neoplasms/classification ; Neoplasms/metabolism ; Neoplasms/pathology ; O(6)-Methylguanine-DNA Methyltransferase/genetics ; Promoter Regions, Genetic ; Temozolomide/pharmacology
    Chemical Substances Antineoplastic Agents, Alkylating ; O(6)-Methylguanine-DNA Methyltransferase (EC 2.1.1.63) ; Carmustine (U68WG3173Y) ; Temozolomide (YF1K15M17Y)
    Language English
    Publishing date 2021-02-01
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2064824-8
    ISSN 1873-5576 ; 1568-0096
    ISSN (online) 1873-5576
    ISSN 1568-0096
    DOI 10.2174/1568009621666210203111620
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Multi-CpG linear regression models to accurately predict paclitaxel and docetaxel activity in cancer cell lines.

    Bacolod, Manny D / Fisher, Paul B / Barany, Francis

    Advances in cancer research

    2022  Volume 158, Page(s) 233–292

    Abstract: The microtubule-targeting paclitaxel (PTX) and docetaxel (DTX) are widely used chemotherapeutic agents. However, the dysregulation of apoptotic processes, microtubule-binding proteins, and multi-drug resistance efflux and influx proteins can alter the ... ...

    Abstract The microtubule-targeting paclitaxel (PTX) and docetaxel (DTX) are widely used chemotherapeutic agents. However, the dysregulation of apoptotic processes, microtubule-binding proteins, and multi-drug resistance efflux and influx proteins can alter the efficacy of taxane drugs. In this review, we have created multi-CpG linear regression models to predict the activities of PTX and DTX drugs through the integration of publicly available pharmacological and genome-wide molecular profiling datasets generated using hundreds of cancer cell lines of diverse tissue of origin. Our findings indicate that linear regression models based on CpG methylation levels can predict PTX and DTX activities (log-fold change in viability relative to DMSO) with high precision. For example, a 287-CpG model predicts PTX activity at R
    MeSH term(s) Humans ; Paclitaxel/pharmacology ; Paclitaxel/therapeutic use ; Paclitaxel/metabolism ; Docetaxel/pharmacology ; Epigenesis, Genetic ; Linear Models ; Taxoids/pharmacology ; Taxoids/therapeutic use ; Taxoids/metabolism ; Neoplasms/drug therapy ; Neoplasms/genetics ; Cell Line ; RNA, Messenger ; Cell Line, Tumor ; Antineoplastic Agents/pharmacology ; Antineoplastic Agents/therapeutic use ; Nuclear Proteins/metabolism ; Chaperonin Containing TCP-1/metabolism
    Chemical Substances Paclitaxel (P88XT4IS4D) ; Docetaxel (15H5577CQD) ; taxane (1605-68-1) ; Taxoids ; RNA, Messenger ; Antineoplastic Agents ; ACIN1 protein, human ; Nuclear Proteins ; CCT6A protein, human ; Chaperonin Containing TCP-1 (EC 3.6.1.-) ; KDM4C protein, human ; KDM4B protein, human (EC 1.14.11.-) ; KDM7A protein, human (EC 1.14.11.-)
    Language English
    Publishing date 2022-12-29
    Publishing country United States
    Document type Review ; Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 127-2
    ISSN 2162-5557 ; 0065-230X
    ISSN (online) 2162-5557
    ISSN 0065-230X
    DOI 10.1016/bs.acr.2022.12.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Combinatorial Ubiquitination REal-time PROteolysis (CURE-PROs): A Modular Platform for Generating Reversible, Self-Assembling Bifunctional Targeted Degraders.

    Giardina, Sarah F / Valdambrini, Elena / Singh, Pradeep K / Bacolod, Manny D / Babu-Karunakaran, Ganesh / Peel, Michael / Warren, J David / Barany, Francis

    Journal of medicinal chemistry

    2024  Volume 67, Issue 7, Page(s) 5473–5501

    Abstract: Proteolysis-Targeting Chimeras (PROTACs) are bifunctional molecules that bring a target protein and an E3 ubiquitin ligase into proximity to append ubiquitin, thus directing target degradation. Although numerous PROTACs have entered clinical trials, ... ...

    Abstract Proteolysis-Targeting Chimeras (PROTACs) are bifunctional molecules that bring a target protein and an E3 ubiquitin ligase into proximity to append ubiquitin, thus directing target degradation. Although numerous PROTACs have entered clinical trials, their development remains challenging, and their large size can produce poor drug-like properties. To overcome these limitations, we have modified our Coferon platform to generate Combinatorial Ubiquitination REal-time PROteolysis (CURE-PROs). CURE-PROs are small molecule degraders designed to self-assemble through reversible bio-orthogonal linkers to form covalent heterodimers. By modifying known ligands for Cereblon, MDM2, VHL, and BRD with complementary phenylboronic acid and diol/catechol linkers, we have successfully created CURE-PROs that direct degradation of BRD4 both
    MeSH term(s) Proteolysis ; Nuclear Proteins/metabolism ; Transcription Factors/metabolism ; Ubiquitination ; Ubiquitin-Protein Ligases/metabolism ; Ligands
    Chemical Substances Nuclear Proteins ; Transcription Factors ; Ubiquitin-Protein Ligases (EC 2.3.2.27) ; Ligands
    Language English
    Publishing date 2024-03-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 218133-2
    ISSN 1520-4804 ; 0022-2623
    ISSN (online) 1520-4804
    ISSN 0022-2623
    DOI 10.1021/acs.jmedchem.3c02097
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Can CpG methylation serve as surrogate markers for immune infiltration in cancer?

    Bacolod, Manny D / Barany, Francis / Fisher, Paul B

    Advances in cancer research

    2019  Volume 143, Page(s) 351–384

    Abstract: Recent reports describe how genome-wide transcriptional analysis of cancer tissues can be exploited to identify molecular signatures of immune infiltration in cancer. We hypothesize that immune infiltration in cancer may also be defined by changes in ... ...

    Abstract Recent reports describe how genome-wide transcriptional analysis of cancer tissues can be exploited to identify molecular signatures of immune infiltration in cancer. We hypothesize that immune infiltration in cancer may also be defined by changes in certain epigenetic signatures. In this context, a primary objective is to identify site-specific CpG markers whose levels of methylation may be highly indicative of known transcriptional markers of immune infiltration such as GZMA, PRF1, T cell receptor genes, PDCD1, and CTLA4. This has been accomplished by integrating genome-wide transcriptional expression and methylation data for different types of cancer (melanoma, kidney cancers, lung cancers, gliomas, head and neck cancer). Our findings establish that cancers of related histology also have a high degree of similarity in immune-infiltration CpG markers. For example, the epigenetic immune infiltration signatures in lung adenocarcinoma (LUAD), mesothelioma (MESO), lung squamous cell carcinoma (LUSC), and head and neck squamous cell carcinoma (HNSC) are distinctly similar. So are glioblastoma multiforme (GBM) and brain lower grade glioma (LGG); and kidney renal papillary cell carcinoma (KIRP) and kidney renal clear cell carcinoma (KIRC). Kidney chromophobe (KICH), on the other hand has markers that are unique to this cohort. The strong relationships between immune infiltration and CpG methylation (for certain sites) in cancer tissues were not observed upon integrated analysis of publicly available cancer cell line datasets. Results from comparative pathways analyses offer further justification to methylation at certain CpG sites as being indicators of cancer immune infiltration, and possibly of predicting patient response to immunotherapeutic drugs. Achieving this target objective would significantly enhance therapeutic outcomes employing immunotherapy through focused patient-centric personalized medicine.
    MeSH term(s) Animals ; Antineoplastic Agents/therapeutic use ; Biomarkers, Tumor/genetics ; CpG Islands ; DNA Methylation ; Epigenomics ; Gene Expression Regulation, Neoplastic ; Humans ; Immunotherapy/methods ; Lymphocytes, Tumor-Infiltrating/immunology ; Molecular Targeted Therapy ; Neoplasms/drug therapy ; Neoplasms/genetics ; Neoplasms/immunology
    Chemical Substances Antineoplastic Agents ; Biomarkers, Tumor
    Language English
    Publishing date 2019-04-17
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 127-2
    ISSN 2162-5557 ; 0065-230X
    ISSN (online) 2162-5557
    ISSN 0065-230X
    DOI 10.1016/bs.acr.2019.03.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Genomic Space of

    Ibrahim Al-Obaide, Mohammed A / Arutla, Viswanath / Bacolod, Manny D / Wang, Wei / Zhang, Ruiwen / Srivenugopal, Kalkunte S

    International journal of molecular sciences

    2021  Volume 22, Issue 5

    Abstract: Background: The molecular regulation of increased : Results: Extensive genome database analyses showed that the MGMT genomic space was rich in and harbored many undescribed RNA regulatory sequences and recognition motifs. We extended the : ... ...

    Abstract Background: The molecular regulation of increased
    Results: Extensive genome database analyses showed that the MGMT genomic space was rich in and harbored many undescribed RNA regulatory sequences and recognition motifs. We extended the
    Conclusions: We provide the first evidence for several new regulatory components in the
    MeSH term(s) Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; Brain Neoplasms/genetics ; Brain Neoplasms/metabolism ; Brain Neoplasms/pathology ; CCCTC-Binding Factor/genetics ; CCCTC-Binding Factor/metabolism ; DNA Methylation ; DNA Modification Methylases/genetics ; DNA Modification Methylases/metabolism ; DNA Repair Enzymes/genetics ; DNA Repair Enzymes/metabolism ; Epigenesis, Genetic ; Gene Expression Regulation, Neoplastic ; Genomics ; Glioma/genetics ; Glioma/metabolism ; Glioma/pathology ; Humans ; NF-E2-Related Factor 2/genetics ; NF-E2-Related Factor 2/metabolism ; Nuclear Respiratory Factor 1/genetics ; Nuclear Respiratory Factor 1/metabolism ; Promoter Regions, Genetic ; RNA, Small Interfering/genetics ; RNA, Untranslated/genetics ; Regulatory Sequences, Nucleic Acid ; Tumor Suppressor Proteins/genetics ; Tumor Suppressor Proteins/metabolism
    Chemical Substances Biomarkers, Tumor ; CCCTC-Binding Factor ; CTCF protein, human ; NF-E2-Related Factor 2 ; NFE2L2 protein, human ; NRF1 protein, human ; Nuclear Respiratory Factor 1 ; RNA, Small Interfering ; RNA, Untranslated ; Tumor Suppressor Proteins ; DNA Modification Methylases (EC 2.1.1.-) ; MGMT protein, human (EC 2.1.1.63) ; DNA Repair Enzymes (EC 6.5.1.-)
    Language English
    Publishing date 2021-03-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms22052492
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Pathways- and epigenetic-based assessment of relative immune infiltration in various types of solid tumors.

    Bacolod, Manny D / Barany, Francis / Pilones, Karsten / Fisher, Paul B / de Castro, Romulo J

    Advances in cancer research

    2019  Volume 142, Page(s) 107–143

    Abstract: Recent clinical studies document the power of immunotherapy in treating subsets of patients with advanced cancers. In this context and with multiple cancer immunotherapeutics already evaluated in the clinic and a large number in various stages of ... ...

    Abstract Recent clinical studies document the power of immunotherapy in treating subsets of patients with advanced cancers. In this context and with multiple cancer immunotherapeutics already evaluated in the clinic and a large number in various stages of clinical trials, it is imperative to comprehensively examine genomics data to better comprehend the role of immunity in different cancers in predicting response to therapy and in directing appropriate therapies. The approach we chose is to scrutinize the pathways and epigenetic factors predicted to drive immune infiltration in different cancer types using publicly available TCGA transcriptional and methylation datasets, along with accompanying clinico-pathological data. We observed that the relative activation of T cells and other immune signaling pathways differs across cancer types. For example, pathways related to activation and proliferation of helper and cytotoxic T cells appear to be more highly enriched in kidney, skin, head and neck, and esophageal cancers compared to those of lung, colorectal, and liver or bile duct cancers. The activation of these immune-related pathways positively associated with prognosis in certain cancer types, most notably melanoma, head and neck, and cervical cancers. Integrated methylation and expression data (along with publicly available, ENCODE-generated histone ChIP Seq and DNAse hypersensitivity data) predict that epigenetic regulation is a primary factor driving transcriptional activation of a number of genes crucial to immunity in cancer, including T cell receptor genes (e.g., CD3D, CD3E), CTLA4, and GZMA. However, the extent to which epigenetic factors (primarily methylation at promoter regions) affect transcription of immune-related genes may vary across cancer types. For example, there is a high negative correlation between promoter CpG methylation and CD3D expression in renal and thyroid cancers, but not in brain tumors. The types of analyses we have undertaken provide insights into the relationships between immune modulation and cancer etiology and progression, offering clues into ways of therapeutically manipulating the immune system to promote immune recognition and immunotherapy.
    MeSH term(s) DNA Methylation ; Epigenomics/methods ; Gene Expression Regulation, Neoplastic ; Humans ; Lymphocytes, Tumor-Infiltrating/immunology ; Neoplasms/genetics ; Neoplasms/immunology ; Neoplasms/pathology ; Prognosis
    Language English
    Publishing date 2019-03-06
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127-2
    ISSN 2162-5557 ; 0065-230X
    ISSN (online) 2162-5557
    ISSN 0065-230X
    DOI 10.1016/bs.acr.2019.01.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Genomic Space of MGMT in Human Glioma Revisited

    Mohammed A. Ibrahim Al-Obaide / Viswanath Arutla / Manny D. Bacolod / Wei Wang / Ruiwen Zhang / Kalkunte S. Srivenugopal

    International Journal of Molecular Sciences, Vol 22, Iss 5, p

    Novel Motifs, Regulatory RNAs, NRF1, 2, and CTCF Involvement in Gene Expression

    2021  Volume 2492

    Abstract: Background: The molecular regulation of increased MGMT expression in human brain tumors, the associated regulatory elements, and linkages of these to its epigenetic silencing are not understood. Because the heightened expression or non-expression of MGMT ...

    Abstract Background: The molecular regulation of increased MGMT expression in human brain tumors, the associated regulatory elements, and linkages of these to its epigenetic silencing are not understood. Because the heightened expression or non-expression of MGMT plays a pivotal role in glioma therapeutics, we applied bioinformatics and experimental tools to identify the regulatory elements in the MGMT and neighboring EBF3 gene loci. Results: Extensive genome database analyses showed that the MGMT genomic space was rich in and harbored many undescribed RNA regulatory sequences and recognition motifs. We extended the MGMT ’s exon-1 promoter to 2019 bp to include five overlapping alternate promoters. Consensus sequences in the revised promoter for (a) the transcriptional factors CTCF, NRF1/NRF2, GAF, (b) the genetic switch MYC/MAX/MAD, and (c) two well-defined p53 response elements in MGMT intron-1, were identified. A putative protein-coding or non-coding RNA sequence was located in the extended 3′ UTR of the MGMT transcript. Eleven non-coding RNA loci coding for miRNAs, antisense RNA, and lncRNAs were identified in the MGMT-EBF3 region and six of these showed validated potential for curtailing the expression of both MGMT and EBF3 genes. ChIP analysis verified the binding site in MGMT promoter for CTCF which regulates the genomic methylation and chromatin looping. CTCF depletion by a pool of specific siRNA and shRNAs led to a significant attenuation of MGMT expression in human GBM cell lines. Computational analysis of the ChIP sequence data in ENCODE showed the presence of NRF1 in the MGMT promoter and this occurred only in MGMT-proficient cell lines. Further, an enforced NRF2 expression markedly augmented the MGMT mRNA and protein levels in glioma cells. Conclusions: We provide the first evidence for several new regulatory components in the MGMT gene locus which predict complex transcriptional and posttranscriptional controls with potential for new therapeutic avenues.
    Keywords MGMT ; DNA repair ; alkylating agents ; brain tumors ; CTCF ; regulatory RNAs ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Subject code 570
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Application of Multiplex Bisulfite PCR-Ligase Detection Reaction-Real-Time Quantitative PCR Assay in Interrogating Bioinformatically Identified, Blood-Based Methylation Markers for Colorectal Cancer.

    Bacolod, Manny D / Mirza, Aashiq H / Huang, Jianmin / Giardina, Sarah F / Feinberg, Philip B / Soper, Steven A / Barany, Francis

    The Journal of molecular diagnostics : JMD

    2020  Volume 22, Issue 7, Page(s) 885–900

    Abstract: The analysis of CpG methylation in circulating tumor DNA fragments has emerged as a promising approach for the noninvasive early detection of solid tumors, including colorectal cancer (CRC). The most commonly employed assay involves bisulfite conversion ... ...

    Abstract The analysis of CpG methylation in circulating tumor DNA fragments has emerged as a promising approach for the noninvasive early detection of solid tumors, including colorectal cancer (CRC). The most commonly employed assay involves bisulfite conversion of circulating tumor DNA, followed by targeted PCR, then real-time quantitative PCR (alias methylation-specific PCR). This report demonstrates the ability of a multiplex bisulfite PCR-ligase detection reaction-real-time quantitative PCR assay to detect seven methylated CpG markers (CRC or colon specific), in both simulated (approximately 30 copies of fragmented CRC cell line DNA mixed with approximately 3000 copies of fragmented peripheral blood DNA) and CRC patient-derived cell-free DNAs. This scalable assay is designed for multiplexing and incorporates steps for improved sensitivity and specificity, including the enrichment of methylated CpG fragments, ligase detection reaction, the incorporation of ribose bases in primers, and use of uracil DNA glycosylase. Six of the seven CpG markers (located in promoter regions of PPP1R16B, KCNA3, CLIP4, GDF6, SEPT9, and GSG1L) were identified through integrated analyses of genome-wide methylation data sets for 31 different types of cancer. These markers were mapped to CpG sites at the promoter region of VIM; VIM and SEPT9 are established epigenetic markers of CRC. Additional bioinformatics analyses show that the methylation at these CpG sites negatively correlates with the transcription of their corresponding genes.
    MeSH term(s) Base Sequence/genetics ; Biomarkers, Tumor/blood ; Biomarkers, Tumor/genetics ; Circulating Tumor DNA/blood ; Circulating Tumor DNA/genetics ; Cohort Studies ; Colorectal Neoplasms/blood ; Colorectal Neoplasms/diagnosis ; Colorectal Neoplasms/genetics ; Computational Biology/methods ; CpG Islands/genetics ; DNA Methylation/genetics ; HT29 Cells ; Humans ; Ligases/genetics ; Multiplex Polymerase Chain Reaction/methods ; Promoter Regions, Genetic/genetics ; Real-Time Polymerase Chain Reaction/methods ; Septins/blood ; Septins/genetics ; Vimentin/blood ; Vimentin/genetics
    Chemical Substances Biomarkers, Tumor ; Circulating Tumor DNA ; VIM protein, human ; Vimentin ; SEPTIN9 protein, human (EC 3.6.1.-) ; Septins (EC 3.6.1.-) ; Ligases (EC 6.-)
    Language English
    Publishing date 2020-05-12
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2000060-1
    ISSN 1943-7811 ; 1525-1578
    ISSN (online) 1943-7811
    ISSN 1525-1578
    DOI 10.1016/j.jmoldx.2020.03.009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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