^
5ms
A high-throughput approach to identify BRCA1-downregulating compounds to enhance PARP inhibitor sensitivity. (PubMed, iScience)
Three compounds, N-acetyl-N-acetoxy chlorobenzenesulfonamide (NANAC), A-443654, and CHIR-124, were validated to reduce BRCA1 protein levels and sensitize breast cancer cells to the toxic effects of olaparib. These results suggest that BRCA1-HiBiT reporter cells hold promise in developing agents to improve the clinical utility of PARPi.
Journal • BRCA Biomarker • PARP Biomarker
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BRCA1 (Breast cancer 1, early onset)
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Lynparza (olaparib) • CHIR-124 • A 443654
7ms
Identification of a Macrophage marker gene signature to evaluate immune infiltration and therapeutic response in hepatocellular carcinoma. (PubMed, Heliyon)
Moreover, a low-Macrosig score indicates increased sensitivity to AZD.2281, A.443654, ABT.263, ABT.888, AG.014699 and ATRA, while a high Macrosig score indicates increased sensitivity to AZD6482, AKT inhibitor VIII, AS601245, AZ628, AZD.0530 and AZD6244. A novel scoring system was constructed to guide more effective prognostic evaluation and tailoring therapeutic regimens for HCC patients.
Journal • Gene Signature • PD(L)-1 Biomarker • IO biomarker
|
PD-1 (Programmed cell death 1) • LAG3 (Lymphocyte Activating 3) • TIGIT (T Cell Immunoreceptor With Ig And ITIM Domains 2)
|
Lynparza (olaparib) • Koselugo (selumetinib) • Rubraca (rucaparib) • veliparib (ABT-888) • navitoclax (ABT 263) • AZ 628 • saracatinib (AZD0530) • AZD6482 • A 443654
1year
Constructing a prognostic model for head and neck squamous cell carcinoma based on glucose metabolism related genes. (PubMed, Front Endocrinol (Lausanne))
GDSC database analysis identified 53 drugs with remarkable differences between the groups, including A.443654 and AG.014699. Our study highlights the significant association of five prognosis-related genes (MTHFD2, CDKN2A, TPM2, MPZ, and DNMT1) with HNSC. These findings provide further evidence of the crucial role of GMRGs in HNSC.
Journal
|
CDKN2A (Cyclin Dependent Kinase Inhibitor 2A) • DNMT1 (DNA methyltransferase 1) • MTHFD2 (Methylenetetrahydrofolate Dehydrogenase (NADP+ Dependent) 2) • TPM2 (Tropomyosin 2)
|
Rubraca (rucaparib) • A 443654
1year
A novel prognostic N-methylguanosine-related long non-coding RNA signature in clear cell renal cell carcinoma. (PubMed, Sci Rep)
High-risk group of patients was more susceptible to A.443654, A.770041, ABT.888, AMG.706, and AZ628. Quantitative real-time polymerase chain reaction (qRT-PCR) exhibited that the expression levels of LINC01507, AC093278.2 were very high in all five ccRCC cell lines, AC084876.1 was upregulated in all ccRCC cell lines except 786-O, and the levels of AL118508.1 and DUXAP8 were upregulated in the Caki-1 cell line. This risk model may be promising for the clinical prediction of prognosis and immunotherapeutic responses in patients with ccRCC.
Journal • Tumor mutational burden • IO biomarker
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TMB (Tumor Mutational Burden) • DUXAP8 (Double Homeobox A Pseudogene 8)
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TMB-L
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veliparib (ABT-888) • AZ 628 • motesanib (AMG 706) • A 443654
over1year
Predicting response of immunotherapy and targeted therapy and prognosis characteristics for renal clear cell carcinoma based on m1A methylation regulators. (PubMed, Sci Rep)
"pRRophetic" package screened five potential small molecule drugs (A.443654, A.770041, ABT.888, AG.014699, AMG.706). Finally, polymerase chain reaction (PCR) showed the expression of YTHN6-Methyladenosine RNA Binding Protein 1[YTHDF1], TRNA Methyltransferase 61B [TRMT61B], TRNA Methyltransferase 10C [TRMT10C] and AlkB Homolog 1[ALKBH1] in ccRCC cell lines. To sum up, the prognosis risk model we created not only has good predictive value, but also can provide guidance for accurately predicting the prognosis of ccRCC.
Journal • IO biomarker
|
EGFR (Epidermal growth factor receptor) • ER (Estrogen receptor) • YTHDF1 (YTH N6-Methyladenosine RNA Binding Protein 1)
|
Rubraca (rucaparib) • veliparib (ABT-888) • motesanib (AMG 706) • A 443654
over1year
Identification of Macrophage Associated Gene Landscape to Evaluate Immune Infiltration and Therapeutic Response in Hepatocellular Carcinoma (APPLE 2023)
A novel scoring system based on macrophage subclusters was constructed, thereby guiding more effective prognostic evaluation and tailored potential drug agents strategies of HCC patients.
PD(L)-1 Biomarker • IO biomarker
|
PD-1 (Programmed cell death 1) • LAG3 (Lymphocyte Activating 3) • TIGIT (T Cell Immunoreceptor With Ig And ITIM Domains 2)
|
Lynparza (olaparib) • Koselugo (selumetinib) • Rubraca (rucaparib) • veliparib (ABT-888) • navitoclax (ABT 263) • AZ 628 • saracatinib (AZD0530) • AZD6482 • A 443654
over1year
A risk model constructed using 14 N-methyladenosine-related lncRNAs as a new prognostic marker that correlates with the immunomodulatory effect and drug sensitivity in colorectal cancer. (PubMed, J Gastrointest Oncol)
Finally, we identified 12 drugs, including A-443654 and sorafenib, with lower half maximal inhibitory concentration (IC) values in the high-risk group. Conversely, 21 drugs, including gemcitabine and rapamycin, had lower IC values in the low-risk group. We constructed a risk model based on 14 mA-related lncRNAs that could predict the prognosis of patients with CRC and provided additional therapeutic ideas for their treatment. These findings may additionally serve as a foundation for further studies on regulating CRC via mA-related lncRNAs.
Journal • Tumor mutational burden • IO biomarker • Immunomodulating
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TMB (Tumor Mutational Burden)
|
TMB-L
|
gemcitabine • sorafenib • sirolimus • A 443654
over1year
Bioinformatics prediction and experimental verification identify cuproptosis-related lncRNA as prognosis biomarkers of hepatocellular carcinoma. (PubMed, Biochem Biophys Rep)
Besides, we screened for two chemical drugs (A-443654 and Pyrimethamine) with the greatest value for high-risk HCC patients. And proliferative, migratory and invasion abilities of HCC cell were restrained via silencing CAlncRNAs expression in vitro. In summary, we built a CAlncRNAs-based risk score model, which can be a candidate for HCC patients prognostic prediction and offer some useful information for immunotherapies.
Journal • IO biomarker
|
TMB (Tumor Mutational Burden) • FOXD2-AS1 (FOXD2 Adjacent Opposite Strand RNA 1)
|
TMB-H
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A 443654
over1year
Metabolomic analysis of vascular cognitive impairment due to hepatocellular carcinoma. (PubMed, Front Neurol)
The drug screening revealed the potential clinical efficacy of A-443654, A-770041, AP-24534, BI-2536, BMS- 509744, CGP-60474, and CGP-082996. HCC-associated metabolic DEGs may influence the development of VCI in HCC patients.
Journal • Metabolomic study
|
CCL2 (Chemokine (C-C motif) ligand 2) • NR1I2 (Nuclear Receptor Subfamily 1 Group I Member 2) • PHGDH (Phosphoglycerate Dehydrogenase) • NNMT (Nicotinamide N-Methyltransferase) • PON1 (Paraoxonase 1) • SOCS3 (Suppressor Of Cytokine Signaling 3)
|
Iclusig (ponatinib) • BI2536 • A 443654
2years
System analysis based on the pyroptosis-related genes identifies GSDMC as a novel therapy target for pancreatic adenocarcinoma. (PubMed, J Transl Med)
In this study, we developed a pyroptosis-related prognostic model based on IL18, CASP4, NLRP1, NLRP2, and GSDMC , which may be helpful for clinicians to make clinical decisions for PAAD patients and provide valuable insights for individualized treatment. Our result suggest that GSDMC may promote the proliferation and migration of PAAD cell lines. These findings may provide new insights into the roles of pyroptosis-related genes in PAAD, and offer  new therapeutic targets for the treatment of PAAD.
Journal
|
IL18 (Interleukin 18) • CASP4 (Caspase 4)
|
lapatinib • A 443654
over2years
Prognostic Value of Drug Targets Predicted Using Deep Bioinformatic Analysis of m6A-Associated lncRNA-Based Pancreatic Cancer Model Characteristics and Its Tumour Microenvironment. (PubMed, Front Genet)
Eight sensitive drugs were screened: ABT.888, ATRA, AP.24534, AG.014699, ABT.263, axitinib, A.443654, and A.770041. We screened m6A-related lncRNAs using bioinformatics, constructed a prognosis-related model, explored TMB and immune function differences in pancreatic cancer, and identified potential therapeutic agents, providing a foundation for further studies of pancreatic cancer diagnosis and treatment.
Preclinical • Journal • Tumor Mutational Burden
|
KRAS (KRAS proto-oncogene GTPase) • TP53 (Tumor protein P53) • TMB (Tumor Mutational Burden) • SMAD4 (SMAD family member 4)
|
TP53 mutation • KRAS mutation • TMB-L
|
Iclusig (ponatinib) • Rubraca (rucaparib) • veliparib (ABT-888) • Inlyta (axitinib) • navitoclax (ABT 263) • A 443654
almost4years
Comprehensive Analysis Identifies Potential Ferroptosis-Associated mRNA Therapeutic Targets in Ovarian Cancer. (PubMed, Front Med (Lausanne))
C1 was more sensitive to eight chemotherapy drugs (A.443654, AZD.0530, AZD6482, AZD7762, AZD8055, BAY.61.3606, Bicalutamide, and CGP.60474). Our study characterized two ferroptosis-related subtypes with distinct prognosis and tumor immune features, which could assist clinicians make decisions and individual therapy. Moreover, 15 ferroptosis-related mRNAs were identified, which could become potential therapeutic targets for ovarian cancer.
Journal • PD(L)-1 Biomarker • IO biomarker
|
PD-1 (Programmed cell death 1)
|
bicalutamide • AZD8055 • saracatinib (AZD0530) • AZD6482 • A 443654
over4years
Aurora kinase A promotes hepatitis B virus replication and expression. (PubMed, Antiviral Res)
We found that viral replication in infected or transfected hepatoma cell was markedly inhibited by treatment with A-443654, a specific inhibitor of Akt...Our data indicated that Aurora kinase A enhances viral replication and expression independently of its kinase activity required for mitotic function. Our findings suggest that mitotic kinases, considered to be an attractive target of antitumor agents, also provide a novel target for the development of antiviral therapy.
Journal
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AURKA (Aurora kinase A)
|
A 443654