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1.
J Biol Chem ; 300(3): 105671, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38272222

RESUMO

Poly(ADP-ribosyl)ation (PARylation) is a critical posttranslational modification that plays a vital role in maintaining genomic stability via a variety of molecular mechanisms, including activation of replication stress and the DNA damage response. The nudix hydrolase NUDT16 was recently identified as a phosphodiesterase that is responsible for removing ADP-ribose units and that plays an important role in DNA repair. However, the roles of NUDT16 in coordinating replication stress and cell cycle progression remain elusive. Here, we report that SETD3, which is a member of the SET-domain containing protein (SETD) family, is a novel substrate for NUDT16, that its protein levels fluctuate during cell cycle progression, and that its stability is strictly regulated by NUDT16-mediated dePARylation. Moreover, our data indicated that the E3 ligase CHFR is responsible for the recognition and degradation of endogenous SETD3 in a PARP1-mediated PARylation-dependent manner. Mechanistically, we revealed that SETD3 associates with BRCA2 and promotes its recruitment to stalled replication fork and DNA damage sites upon replication stress or DNA double-strand breaks, respectively. Importantly, depletion of SETD3 in NUDT16-deficient cells did not further exacerbate DNA breaks or enhance the sensitivity of cancer cells to IR exposure, suggesting that the NUDT16-SETD3 pathway may play critical roles in the induction of tolerance to radiotherapy. Collectively, these data showed that NUDT16 functions as a key upstream regulator of SETD3 protein stability by reversing the ADP-ribosylation of SETD3, and NUDT16 participates in the resolution of replication stress and facilitates HR repair.


Assuntos
ADP-Ribosilação , Neoplasias , Quebras de DNA de Cadeia Dupla , Dano ao DNA , Reparo do DNA , Neoplasias/genética , Neoplasias/radioterapia , Poli(ADP-Ribose) Polimerase-1/genética , Processamento de Proteína Pós-Traducional , Humanos , Linhagem Celular , Pirofosfatases/genética , Pirofosfatases/metabolismo , Histona Metiltransferases/genética , Histona Metiltransferases/metabolismo
2.
J Cell Physiol ; 237(7): 2729-2739, 2022 07.
Artigo em Inglês | MEDLINE | ID: mdl-35342948

RESUMO

This review aims to provide insight into the role of N6-methyladenosine (m6A) modification in neoplastic immunity and subsequent tumorigenesis. m6A modification, which is catalyzed by methyltransferases, demethylases and reader proteins, has emerged as a widespread regulatory mechanism that controls immune-related gene expression and immune reactions during tumorigenesis. Aberrant m6A modification changes the neoplastic immune response in multiple cancers by regulating immune cell infiltration, tumor-promoting inflammation, immunosuppression, immune surveillance, and antitumor immune responses. m6A modification affects immune cell recruitment and cancer-promoting inflammation in hepatocellular carcinoma (HCC) to alter the progression of HCC. m6A modification has been implicated in the infiltration of immune cells and the activation of immune pathways, changing the proliferation and metastasis of gastric cancer. Immune surveillance and the antitumor immune response in breast cancer were enhanced via m6A modification, which inhibited tumor proliferation. m6A modification participates in neoplastic immunoregulation to influence tumor progression.


Assuntos
Adenosina , Neoplasias/imunologia , Adenosina/análogos & derivados , Adenosina/metabolismo , Animais , Carcinogênese , Transformação Celular Neoplásica , Humanos , Imunidade , Inflamação , Neoplasias/genética , Neoplasias/patologia , Microambiente Tumoral
3.
Front Immunol ; 13: 1022147, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36275659

RESUMO

Growing evidence indicates a connection between cancer-associated fibroblasts (CAFs) and tumor microenvironment (TME) remodeling and tumor progression. Nevertheless, how patterns of CAFs impact TME and immunotherapy responsiveness in triple-negative breast cancer (TNBC) remains unclear. Here, we systematically investigate the relationship between TNBC progression and patterns of CAFs. By using unsupervised clustering methods in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset, we identified two distinct CAF-associated clusters that were related to clinical features, characteristics of TME, and prognosis of patients. Then, we established a CAF-related prognosis index (CPI) by the least absolute shrinkage and selection operator (LASSO)-Cox regression method. CPI showed prognostic accuracy in both training and validation cohorts (METABRIC, GSE96058, and GSE21653). Consequently, we constructed a nomogram with great predictive performance. Moreover, the CPI was verified to be correlated with the responsiveness of immunotherapy in three independent cohorts (GSE91061, GSE165252, and GSE173839). Taken together, the CPI might help us improve our recognition of the TME of TNBC, predict the prognosis of TNBC patients, and offer more immunotherapy strategies in the future.


Assuntos
Fibroblastos Associados a Câncer , Neoplasias de Mama Triplo Negativas , Humanos , Fibroblastos Associados a Câncer/patologia , Prognóstico , Neoplasias de Mama Triplo Negativas/genética , Neoplasias de Mama Triplo Negativas/patologia , Microambiente Tumoral
4.
Front Cell Dev Biol ; 9: 795600, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-35096824

RESUMO

Regarded as the most invasive subtype, triple-negative breast cancer (TNBC) lacks the expression of estrogen receptors (ERs), progesterone receptors (PRs), and human epidermal growth factor receptor 2 (HER2) proteins. Platelets have recently been shown to be associated with metastasis of malignant tumors. Nevertheless, the status of platelet-related genes in TNBC and their correlation with patient prognosis remain unknown. In this study, the expression and variation levels of platelet-related genes were identified and patients with TNBC were divided into three subtypes. We collected cohorts from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. By applying the least absolute shrinkage and selection operator (LASSO) Cox regression method, we constructed a seven-gene signature which classified the two cohorts of patients with TNBC into low- or high-risk groups. Patients in the high-risk group were more likely to have lower survival rates than those in the low-risk group. The risk score, incorporated with the clinical features, was confirmed as an independent factor for predicting the overall survival (OS) time. Functional enrichment analyses revealed the involvement of a variety of vital biological processes and classical cancer-related pathways that could be important to the ultimate prognosis of TNBC. We then built a nomogram that performed well. Moreover, we tested the model in other cohorts and obtained positive outcomes. In conclusion, platelet-related genes were closely related to TNBC, and this novel signature could serve as a tool for the assessment of clinical prognosis.

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