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1.
Cancer Discov ; 2024 Jun 25.
Article in English | MEDLINE | ID: mdl-38922581

ABSTRACT

Comprehensive m6A epitranscriptome profiling of primary tumors remains largely uncharted. Here, we profiled the m6A epitranscriptome of 10 non-neoplastic lung (NL) tissues and 51 lung adenocarcinoma (LUAD) tumors, integrating the corresponding transcriptome, proteome and extensive clinical annotations. We identified distinct clusters and genes that were exclusively linked to disease progression through m6A modifications. In comparison with NL tissues, we identified 430 transcripts to be hypo-methylated and 222 to be hyper-methylated in tumors. Among these genes, EML4 emerged as a novel metastatic driver, displaying significant hyper-methylation in tumors. m6A modification promoted the translation of EML4, leading to its widespread overexpression in primary tumors. Functionally, EML4 modulated cytoskeleton dynamics through interacting with ARPC1A, enhancing lamellipodia formation, cellular motility, local invasion, and metastasis. Clinically, high EML4 protein abundance correlated with features of metastasis. METTL3 small molecule inhibitor markedly diminished both EML4 m6A and protein abundance, and efficiently suppressed lung metastases in vivo.

2.
Nucleic Acids Res ; 51(9): 4341-4362, 2023 05 22.
Article in English | MEDLINE | ID: mdl-36928661

ABSTRACT

BRCA1 mutations are associated with increased breast and ovarian cancer risk. BRCA1-mutant tumors are high-grade, recurrent, and often become resistant to standard therapies. Herein, we performed a targeted CRISPR-Cas9 screen and identified MEPCE, a methylphosphate capping enzyme, as a synthetic lethal interactor of BRCA1. Mechanistically, we demonstrate that depletion of MEPCE in a BRCA1-deficient setting led to dysregulated RNA polymerase II (RNAPII) promoter-proximal pausing, R-loop accumulation, and replication stress, contributing to transcription-replication collisions. These collisions compromise genomic integrity resulting in loss of viability of BRCA1-deficient cells. We also extend these findings to another RNAPII-regulating factor, PAF1. This study identifies a new class of synthetic lethal partners of BRCA1 that exploit the RNAPII pausing regulation and highlight the untapped potential of transcription-replication collision-inducing factors as unique potential therapeutic targets for treating cancers associated with BRCA1 mutations.


Subject(s)
BRCA1 Protein , DNA Replication , Hereditary Breast and Ovarian Cancer Syndrome , Mutation , Transcription, Genetic , Humans , BRCA1 Protein/deficiency , BRCA1 Protein/genetics , DNA Replication/genetics , Hereditary Breast and Ovarian Cancer Syndrome/genetics , Hereditary Breast and Ovarian Cancer Syndrome/pathology , Hereditary Breast and Ovarian Cancer Syndrome/physiopathology , RNA Polymerase II/metabolism , Transcription, Genetic/genetics , Promoter Regions, Genetic , Methyltransferases/deficiency , Methyltransferases/genetics , R-Loop Structures , Cell Death
3.
Gastroenterology ; 162(4): 1183-1196, 2022 04.
Article in English | MEDLINE | ID: mdl-34968454

ABSTRACT

BACKGROUND & AIMS: N6-methyladenosine (m6A) governs the fate of RNAs through m6A readers. Colorectal cancer (CRC) exhibits aberrant m6A modifications and expression of m6A regulators. However, how m6A readers interpret oncogenic m6A methylome to promote malignant transformation remains to be illustrated. METHODS: YTH N6-methyladenosine RNA binding protein 1 (Ythdf1) knockout mouse was generated to determine the effect of Ythdf1 in CRC tumorigenesis in vivo. Multiomic analysis of RNA-sequencing, m6A methylated RNA immunoprecipitation sequencing, YTHDF1 RNA immunoprecipitation sequencing, and proteomics were performed to unravel targets of YTHDF1 in CRC. The therapeutic potential of targeting YTHDF1-m6A-Rho/Rac guanine nucleotide exchange factor 2 (ARHGEF2) was evaluated using small interfering RNA (siRNA) encapsulated by lipid nanoparticles (LNP). RESULTS: DNA copy number gain of YTHDF1 is a frequent event in CRC and contributes to its overexpression. High expression of YTHDF1 is significantly associated with metastatic gene signature in patient tumors. Ythdf1 knockout in mice dampened tumor growth in an inflammatory CRC model. YTHDF1 promotes cell growth in CRC cell lines and primary organoids and lung and liver metastasis in vivo. Integrative multiomics analysis identified RhoA activator ARHGEF2 as a key downstream target of YTHDF1. YTHDF1 binds to m6A sites of ARHGEF2 messenger RNA, resulting in enhanced translation of ARHGEF2. Ectopic expression of ARHGEF2 restored impaired RhoA signaling, cell growth, and metastatic ability both in vitro and in vivo caused by YTHDF1 loss, verifying that ARHGEF2 is a key target of YTHDF1. Finally, ARHGEF2 siRNA delivered by LNP significantly suppressed tumor growth and metastasis in vivo. CONCLUSIONS: We identify a novel oncogenic epitranscriptome axis of YTHDF1-m6A-ARHGEF2, which regulates CRC tumorigenesis and metastasis. siRNA-delivering LNP drug validated the therapeutic potential of targeting this axis in CRC.


Subject(s)
Colorectal Neoplasms , Gene Expression Regulation, Neoplastic , Adenosine/analogs & derivatives , Adenosine/metabolism , Animals , Carcinogenesis/genetics , Colorectal Neoplasms/pathology , Humans , Liposomes , Mice , Nanoparticles , RNA, Small Interfering , RNA-Binding Proteins/genetics , RNA-Binding Proteins/metabolism , Rho Guanine Nucleotide Exchange Factors/genetics , Rho Guanine Nucleotide Exchange Factors/metabolism , rhoA GTP-Binding Protein/genetics , rhoA GTP-Binding Protein/metabolism
4.
Nat Commun ; 12(1): 1781, 2021 03 19.
Article in English | MEDLINE | ID: mdl-33741908

ABSTRACT

Prostate cancer (PCa) risk-associated SNPs are enriched in noncoding cis-regulatory elements (rCREs), yet their modi operandi and clinical impact remain elusive. Here, we perform CRISPRi screens of 260 rCREs in PCa cell lines. We find that rCREs harboring high risk SNPs are more essential for cell proliferation and H3K27ac occupancy is a strong indicator of essentiality. We also show that cell-line-specific essential rCREs are enriched in the 8q24.21 region, with the rs11986220-containing rCRE regulating MYC and PVT1 expression, cell proliferation and tumorigenesis in a cell-line-specific manner, depending on DNA methylation-orchestrated occupancy of a CTCF binding site in between this rCRE and the MYC promoter. We demonstrate that CTCF deposition at this site as measured by DNA methylation level is highly variable in prostate specimens, and observe the MYC eQTL in the 8q24.21 locus in individuals with low CTCF binding. Together our findings highlight a causal mechanism synergistically driven by a risk SNP and DNA methylation-mediated 3D genome architecture, advocating for the integration of genetics and epigenetics in assessing risks conferred by genetic predispositions.


Subject(s)
CRISPR-Cas Systems , DNA Methylation , Gene Editing/methods , Genetic Predisposition to Disease/genetics , Genome-Wide Association Study/methods , Prostatic Neoplasms/genetics , Animals , CCCTC-Binding Factor/genetics , CCCTC-Binding Factor/metabolism , Carcinogenesis/genetics , Cell Line, Tumor , Humans , Male , Mice, Inbred NOD , Mice, SCID , Polymorphism, Single Nucleotide , Promoter Regions, Genetic/genetics , Proto-Oncogene Proteins c-myc/genetics , Quantitative Trait Loci/genetics , Regulatory Elements, Transcriptional/genetics , Risk Factors
5.
Nat Commun ; 10(1): 278, 2019 01 17.
Article in English | MEDLINE | ID: mdl-30655535

ABSTRACT

Neuroendocrine prostate cancer (NEPC), a lethal form of the disease, is characterized by loss of androgen receptor (AR) signaling during neuroendocrine transdifferentiation, which results in resistance to AR-targeted therapy. Clinically, genomically and epigenetically, NEPC resembles other types of poorly differentiated neuroendocrine tumors (NETs). Through pan-NET analyses, we identified ONECUT2 as a candidate master transcriptional regulator of poorly differentiated NETs. ONECUT2 ectopic expression in prostate adenocarcinoma synergizes with hypoxia to suppress androgen signaling and induce neuroendocrine plasticity. ONEUCT2 drives tumor aggressiveness in NEPC, partially through regulating hypoxia signaling and tumor hypoxia. Specifically, ONECUT2 activates SMAD3, which regulates hypoxia signaling through modulating HIF1α chromatin-binding, leading NEPC to exhibit higher degrees of hypoxia compared to prostate adenocarcinomas. Treatment with hypoxia-activated prodrug TH-302 potently reduces NEPC tumor growth. Collectively, these results highlight the synergy between ONECUT2 and hypoxia in driving NEPC, and emphasize the potential of hypoxia-directed therapy for NEPC patients.


Subject(s)
Gene Expression Regulation, Neoplastic , Homeodomain Proteins/metabolism , Neuroendocrine Tumors/genetics , Prostatic Neoplasms/genetics , Smad3 Protein/genetics , Transcription Factors/metabolism , Animals , Carcinogenesis/genetics , Carcinogenesis/pathology , Cell Hypoxia/drug effects , Cell Hypoxia/genetics , Cell Line, Tumor , Cell Proliferation/drug effects , Datasets as Topic , Disease Progression , Gene Expression Profiling , Homeodomain Proteins/genetics , Humans , Hypoxia-Inducible Factor 1, alpha Subunit/genetics , Hypoxia-Inducible Factor 1, alpha Subunit/metabolism , Male , Mice , Mice, Inbred NOD , Mice, SCID , Neuroendocrine Tumors/pathology , Nitroimidazoles/pharmacology , Phosphoramide Mustards/pharmacology , Prostate/pathology , Prostatic Neoplasms/pathology , RNA, Small Interfering/metabolism , Signal Transduction/genetics , Smad3 Protein/metabolism , Transcription Factors/genetics , Up-Regulation , Xenograft Model Antitumor Assays
6.
Appl Opt ; 53(11): 2324-30, 2014 Apr 10.
Article in English | MEDLINE | ID: mdl-24787401

ABSTRACT

Optical roughness was introduced into the bidirectional reflectance distribution function (BRDF) model to simulate the reflectance characteristics of thermal radiation. The optical roughness BRDF model stemmed from the influence of surface roughness and wavelength on the ray reflectance calculation. This model was adopted to simulate real metal emissivity. The reverse Monte Carlo method was used to display the distribution of reflectance rays. The numerical simulations showed that the optical roughness BRDF model can calculate the wavelength effect on emissivity and simulate the real metal emissivity variance with incidence angles.

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