Current Cancer Drug Targets - Volume 25, Issue 2, 2025
Volume 25, Issue 2, 2025
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A Review on Patient-derived 3D Micro Cancer Approach for Drug Screen in Personalized Cancer Medicine
Authors: Zülal Atlı Şekeroğlu and Vedat ŞekeroğluPrecision medicine in oncology aims to identify an individualized treatment plan based on genomic alterations in a patient’s tumor. It helps to select the most beneficial therapy for an individual patient. As it is now known that no patient's cancer is the same, and therefore, different patients may respond differently to conventional treatments, precision medicine, which replaces the one-size-fits-all approach, supports the development of tailored treatments for specific cancers of different patients. Patient-specific organoid or spheroid models as 3D cell culture models are very promising for predicting resistance to anti-cancer drugs and for identifying the most effective cancer therapy for high-throughput drug screening combined with genomic analysis in personalized medicine. Because tumor spheroids incorporate many features of solid tumors and reflect resistance to drugs and radiation, as in human cancers, they are widely used in drug screening studies. Testing patient-derived 3D cancer spheroids with some anticancer drugs based on information from molecular profiling can reveal the sensitivity of tumor cells to drugs and provide the right compounds to be effective against resistant cells. Given that many patients do not respond to standard treatments, patient-specific treatments will be more effective, less toxic. They will affect survival better compared to the standard approach used for all patients.
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CNDP1 Suppresses the Malignant Behavior of Hepatoma Cell via Restricting PI3K-AKT-mTOR Activation
Authors: Youwen Du, Linxin Pan, Wenchen Zhang, Shuangbiao Wei, Xu Fan, Na Zhang, Pengjun Wei, Xiaoqian Chen, Zhi Qiao and Li XieIntroductionHepatocellular carcinoma (HCC) is a global health problem with increasing morbidity and mortality, and exploring the diagnosis and treatment of HCC at the gene level has become a research hotspot in recent years. As the rate-limiting enzyme of carnosine hydrolysis, CNDP1 participates in the progress of many diseases, but its function in HCC has not been fully elucidated.
MethodsThis study firstly screened differentially expressed genes from the biochip related to HCC by bioinformatic analysis, and CNDP1 was finally selected for in-depth study. Then the bioinformatics analysis results were validated by detecting the expression of CNDP1 in human HCC samples and hepatoma cell lines. Furthermore, the effect of CNDP1 on the malignant behavior of hepatoma cell lines were assessed using MTT colorimetric assay, EdU staining assay, colony formation, wound-healing assay and transwell, and the molecular mechanism was also preliminarily explored.
ResultsThis study found that CNDP1 expression was decreased significantly in human HCC tissues and cell lines, and its overexpression could significantly suppress cell proliferation, migration and invasion of hepatoma cell lines. Mechanistically the GeneMANIA database predicted that CNDP1 could interact with various proteins involved in regulating PI3K-AKT-mTOR signaling pathway. Furthermore, this study showed that CNDP1 overexpression could effectively inhibit the activation of PI3K-AKT-mTOR signaling pathways, more significantly, inhibition of PI3K-AKT-mTOR signaling pathway could disrupt the anti-cancer effect of CNDP1 on HCC.
ConclusionThis study confirm that CNDP1 expression is decreased significantly in HCC, and has potential anti-cancer activity, this discovery provides a cytological basis for further understanding the biological function of CNDP1 and diagnosis and gene therapy of HCC in the future.
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HAND2-AS1 Promotes Ferroptosis to Reverse Lenvatinib Resistance in Hepatocellular Carcinoma by TLR4/NOX2/DUOX2 Axis
Authors: Zheng Song, Yu Zhang, Wei Luo, Chao Sun, Caihong Lv, Sihao Wang, Quanwei He, Ran Xu, Zhaofang Bai, Xiujuan Chang and Yongping YangIntroductionLenvatinib resistance causes less than 40% of the objective response rate. Therefore, it is urgent to explore new therapeutic targets to reverse the lenvatinib resistance for HCC. HAND2-AS1 is a critical tumor suppressor gene in various cancers.
MethodsHere, we investigated the role of HAND2-AS1 in the molecular mechanism of lenvatinib resistance in HCC. It was found that HAND2-AS1 was lowly expressed in the HepG2 lenvatinib resistance (HepG2-LR) cells and HCC tissues and associated with progression-free intervals via TCGA. Overexpression of HAND2-AS1 (OE-HAND2-AS1) decreased the IC50 of lenvatinib in HepG2-LR cells to reverse lenvatinib resistance. Moreover, OE-HAND2-AS1 induced intracellular concentrations of malondialdehyde (MDA) and lipid ROS and decreased the ratio of glutathione to glutathione disulfide (GSH/GSSG) to promote ferroptosis.
ResultsA xenograft model in which nude mice were injected with OE-HAND2-AS1 HepG2-LR cells confirmed that OE-HAND2-AS1 could reverse lenvatinib resistance and decrease tumor formation in vivo. HAND2-AS1 promoted the expression of ferroptosis-related genes (TLR4, NOX2, and DUOX2) and promoted ferroptosis to reverse lenvatinib resistance by increasing TLR4/NOX2/DUOX2 via competing endogenous miR-219a-1-3p in HCC cells. Besides, patients with a low HAND2-AS1 level had early recurrence after resection.
ConclusionHAND2-AS1 promotes ferroptosis in HCC cells and reverses lenvatinib resistance by regulating TLR4/NOX2/DUOX2 axis. It suggested that HAND2-AS1 may be a potential therapeutic target and an indicator of early recurrence for HCC.
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PLCG2, A Regulator of Lung Adenocarcinoma Proliferation and Migration Associated with Immune Infiltration
Authors: Shuhui Chen, Chenkang Zhou, Jieying Dai, Qingqing Xu, Yuxin Chen, Zhaoting Hu, Yumin Wang and Caihong WangBackgroundResults from the TCGA database showed that phosphatidylinositol-specific phospholipase Cγ2 (PLCG2) expression level in Lung Adenocarcinoma (LUAD) was notably decreased compared to adjacent tissues, so we unveiled its role of LUAD.
ObjectiveThis study aims to explore the expression and clinical significance of Phosphatidylinositol-specific phospholipase Cγ2 (PLCG2) in lung adenocarcinoma (LUAD) cells and its role in cell proliferation and metastasis.
MethodsDifferential PLCG2 mRNA and protein levels between LUAD tissues and adjacent tissues were analyzed from the TCGA database, TIMER, and UALCAN database. Differentially expressed genes were screened for patients in the high and low PLCG2 mRNA expression groups by the R package as well as GSEA. The expression level of PLCG2 in LUAD cells was detected using qRT-PCR and CCK8, clone formation, Transwell, and Western blot assays.
ResultsPLCG2 was lowly expressed in LUAD and did not significantly correlate with the prognosis of LUAD. PLCG2 expression levels varied significantly in terms of patients' gender, age, T, N, and pathological stage. GO/KEGG enrichment analysis showed that co-expression of PLCG2 was mainly associated with the immune response- regulating cell-surface receptors, and so on. GSEA analysis showed enrichment pathways of PLCG2-related differential gees were primarily associated with the olfactory transduction pathway, ribosome, etc. R software analysis revealed a significant correlation between PLCG2 expression and six types of immune-infiltrating cells, positively correlated with immune checkpoint-related genes and negatively regulated by tumor mutational load. Overexpressing PLCG2 showed reduced LUAD cell proliferation, clone formation, cell migration and invasion, and epithelial-mesenchymal transition-associated proteins, compared with the control group.
ConclusionPLCG2 is lowly expressed in LUAD tissues and is involved in immune infiltration of LUAD, inhibiting LUAD cell proliferation and metastasis.
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Gamma-tocotrienol Inhibits Proliferation and Growth of HSD17B4 Overexpressing HepG2 Liver Cancer Cells
Authors: Xiaoming Wang, Xijia Liang, Nan Zhang, Yaqi Wang, Meng Hu, Yun Shi, Min Yao, Lianguo Hou and Lingling JiangIntroductionHydroxysteroid 17-beta dehydrogenase 4 (HSD17B4) is involved in the progression of hepatocellular carcinoma (HCC).
AimsThis study aimed to investigate the inhibitory effect of gamma-tocotrienol (γ-T3) on the proliferation and growth of HSD17B4-overexpressing HepG2 cells.
MethodsHepG2 cells were transfected with empty or HSD17B4-overexpressing plasmids, followed by vitamin E (VE) or γ-T3 treatment. MTS assay, Western blotting, qRT-PCR, and flow cytometry were employed to assess cell proliferation, protein expression, mRNA levels, and apoptosis. HSD17B4 interaction with γ-T3 was assessed by quantifying γ-T3 in the collected precipitate of HSD17B4 using anti-flag magnetic beads. Tumor xenografts were established in NSG mice, and tumor growth was monitored.
ResultsHSD17B4 overexpression significantly promoted HepG2 cell proliferation, which was effectively counteracted by VE or γ-T3 treatment in a dose-dependent manner. VE and γ-T3 did not exert their effects through direct regulation of HSD17B4 expression. Instead, γ-T3 was found to interact with HSD17B4, inhibiting its activity in catalyzing the conversion of estradiol (E2) into estrone. Moreover, γ-T3 treatment led to a reduction in cyclin D1 expression and suppressed key proliferation signaling pathways, such as ERK, MEK, AKT, and STAT3. Additionally, γ-T3 promoted apoptosis in HSD17B4-overexpressing HepG2 cells. In an in vivo model, γ-T3 effectively reduced the growth of HepG2 xenograft tumors.
ConclusionIn conclusion, our study demonstrates that γ-T3 exhibits potent anti-proliferative and anti-tumor effects against HepG2 cells overexpressing HSD17B4. These findings highlight the therapeutic potential of γ-T3 in HCC treatment and suggest its role in targeting HSD17B4-associated pathways to inhibit tumor growth and enhance apoptosis.
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Screening miRNAs to Hinder the Tumorigenesis of Renal Clear Cell Carcinoma Associated with KDR Expression
IntroductionThis study delved to understand the role of Kinase Insert Domain Receptor (KDR) and its associated miRNAs in renal cell carcinoma through an extensive computational analysis. The potential of our findings to guide future research in this area is significant.
MethodsOur methods, which included the use of UALCAN and GEPIA2 databases, as well as miRDB, MirDIP, miRNet v2.0, miRTargetLink, MiEAA v2.1, TarBase v8.0, INTERNET, and miRTarBase, were instrumental in identifying the regulation of miRNA associated with KDR expression. The predicted miRNA was validated with the TCGA-KIRC patients’ samples by implementing CancerMIRNome. The TargetScanHuman v8.0 was implemented to identify the associations between human miRNAs and KDR. A Patch Dock server analyzed the interactions between hsa-miR-200c-3p and KDR.
ResultsThe KDR expression rate was investigated in the Kidney Renal Cell Carcinoma (KIRC) samples, and adjacent normal tissues revealed that the expression rate was significantly higher than the normal samples, which was evident from the strong statistical significance (P = 1.63e-12). Likely, the KDR expression rate was estimated as high at tumor grade 1 and gradually decreased till the metastasis grade, reducing the survival rate of the KIRC patients. To identify these signals early, we predicted a miRNA that could alter the expression of KDR. Furthermore, we uncovered the potential associations between miR-200c-3p expressions by regulating KDR towards the progression of KIRC.
DiscussionUpon examining the outcome, it became evident that miR-200c-3p was significantly downregulated in KIRC compared to the normal samples. Moreover, the negative correlation was obtained for hsa-miR-200c-3p (R = - 0.276) along with the KDR expression describing that the increased rate of hsa-miR-200c-3p might reduce the KDR expression rate, which may suppress the KIRC initiation or progression.
ConclusionThe in-silico analysis indicated that the significant increase in KDR expression during the initiation of KIRC could serve as an early diagnostic marker. Moreover, KDR could be utilized to identify advancements in KIRC stages. Additionally, hsa-miR-200c-3p was identified as a potential regulator capable of downregulating and upregulating KDR expression among the 24 miRNAs screened. This finding holds promise for future research endeavors. Concurrent administration of the FDA-approved 5-fluorouracil with KIRC drugs, such as sorafenib, zidovudine, and everolimus, may have the potential to enhance the therapeutic efficacy in downregulating hsa-miR-200c-3p. However, further in vitro studies are imperative to validate these findings and gain a comprehensive understanding of the intricate regulatory interplay involving hsa-miR-200c-3p, KDR, 5-fluorouracil, and other FDA-approved drugs for the treatment of KIRC. This will facilitate the identification of KIRC stage progression and its underlying preventative mechanisms.
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Transforming Cancer Care: The Impact of AI-driven Strategies
Authors: Debanjan Mukherjee, Debajyoti Roy and Shubham ThakurAI is a critical component in healthcare, especially in the application of precision medicine where patients’ characteristics, including genetic makeup, determine the treatment options that should be implemented. AI sorts big data, predicting people’s reactions to specific treatments, the right combinations of drugs, and possible side effects, therefore increasing the efficiency of the treatment process and decreasing negative outcomes. This article briefly presents the ethical issues and concerns that might arise due to the integration of AI in society, such as the privacy of data, the issues of bias in the algorithms, and the issues of interpretability of the AI systems. Nevertheless, there is no doubt that AI can bring qualitative changes in cancer care based on its potential to enhance patient prognosis and reduce health care costs, as well as become a defining feature of the standard of care.
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Volumes & issues
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Volume 25 (2025)
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Volume 24 (2024)
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Volume 23 (2023)
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Volume 22 (2022)
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Volume 21 (2021)
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Volume 20 (2020)
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Volume 19 (2019)
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Volume 18 (2018)
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Volume 17 (2017)
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Volume 16 (2016)
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Volume 15 (2015)
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Volume 14 (2014)
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Volume 13 (2013)
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Volume 12 (2012)
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Volume 11 (2011)
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Volume 10 (2010)
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Volume 9 (2009)
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Volume 8 (2008)
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Volume 7 (2007)
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Volume 6 (2006)
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Volume 5 (2005)
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Volume 4 (2004)
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Volume 3 (2003)
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Volume 2 (2002)
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Volume 1 (2001)
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