SARDH in the 1-C metabolism sculpts the T-cell fate and serves as a potential cancer therapeutic target

Chronic T-cell receptor (TCR) signaling in the tumor microenvironment is known to promote T-cell dysfunction. However, we reasoned that poorly immunogenic tumors may also compromise T cells by impairing their metabolism. To address this, we assessed temporal changes in T-cell metabolism, fate, and function in models of B-cell lymphoma driven by Myc, a promoter of energetics and repressor of immunogenicity. Increases in lymphoma burden most significantly impaired CD4+ T-cell function and promoted regulatory T cell (Treg) and Th1-cell differentiation. Metabolomic analyses revealed early reprogramming of CD4+ T-cell metabolism, reduced glucose uptake, and impaired mitochondrial function, which preceded changes in T-cell fate. In contrast, B-cell lymphoma metabolism remained robust during tumor progression. Finally, mitochondrial functions were impaired in CD4+ and CD8+ T cells in lymphoma-transplanted OT-II and OT-I transgenic mice, respectively. These findings support a model, whereby early, TCR-independent, metabolic interactions with developing lymphomas limits T cell-mediated immune surveillance.

Immune oncology approaches of adoptive cell therapy and immune checkpoint blockade aim to activate T cells to eliminate tumors. Normal stimulation of resting T cells induces metabolic reprogramming from catabolic and oxidative metabolism to aerobic glycolysis in effector T cells, and back to oxidative metabolism in long-lived memory cells. These metabolic reprogramming events are now appreciated to be essential aspects of T-cell function and fate. Here, we review these transitions, how they are disrupted by T-cell interactions with tumors and the tumor microenvironment, and how they can inform immune oncology to enhance T-cell function against tumors. SIGNIFICANCE: T-cell metabolism plays a central role in T-cell fate yet is altered in cancer in ways that can suppress antitumor immunity. Here, we discuss challenges and opportunities to stimulate effector T-cell metabolism and improve cancer immunotherapy.

Background: NFX1-123 is the longer splice variant isoform of the NFX1 gene and is highly expressed in cervical cancer. Cervical cancer is caused by high-risk HPV infections, and NFX1-123 is a protein partner with the HPV oncoprotein E6. Together, NFX1-123 and E6 affect cellular growth, longevity, differentiation, and the immune response. The expression status of NFX1-123 in cancers beyond cervical cancer, and its potential as therapeutic target, has not been investigated. Methods: TSVdb of TCGA was used to quantify NFX1-123 expression in 25 primary cancers tissues compared to adjacent normal tissues. The NFX1-123 protein structure was predicted using I-TASSER: Interactive Threading ASSEmbly Refinement tool. The modeled structure was submitted to the MTi-Openscreen Virtual screening web-server using ZINC-Database to retrieve suitable drug molecules, and further screening was evaluated by PyRx interphase and AutoDock Vina. The top four compounds, found to bind in silico to NFX1-123, were tested experimentally to determine their inhibitory effects on NFX1-123-related cellular growth and survival by MTT assay. Results: 44% of cancers (11 of 25) had significant differences in NFX1-123 expression when compared to adjacent normal solid tissues. Nine of 11 cancers (88%) had greater NFX1-123 expression: breast invasive carcinoma, cholangiocarcinoma, colon adenocarcinoma, renal cell carcinoma, renal papillary cell carcinoma, hepatocellular carcinoma, lung adenocarcinoma, sarcoma, and stomach adenocarcinoma. Two of 11 cancers (18%) had reduced NFX1-123 expression: lung squamous cell carcinoma, and pheochromocytoma and paraganglioma. Additionally, HPV+ head and neck cancers had greater expression of NFX1-123 compared to HPV- head and neck cancers. Bioinformatics and proteomic predictive analysis revealed the 3-D structure of the NFX1-123; with this structure, drug libraries were screened for high binding affinity compounds. 17 drugs with binding energies range from -11.3 to -10 Kcal/mol. were found. The top four compounds were used to treat HPV- and HPV+ cervical and head and neck cancer cell lines in culture, and two (R428 and Ketoconazole) were found to reduce NFX1-123 protein levels and inhibit cell growth and survival. R428 was also found to inhibit NFX1-123 and regulate autophagy and autophagy-mediated cell death. Conclusion: Nine out of 25 (36%) cancers expressed high levels of NFX1-123, and drug targeting of NFX1-123 can lead to cell growth inhibition. NFX1-123 may be a potential novel therapeutic target in cancers that highly express NFX1-123. Citation Format: Sreenivasulu Chintala, Anand Anbarasu, Rachel A. Katzenellenbogen. NFX1-123: A potential therapeutic target in cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1210.

The chromatin remodeling SWI/SNF complex is mutated in 20% of all cancers and ARID1A is the most frequently mutated subunit. However, the tumor suppressive functions of ARID1A are not fully understood and no feasible therapeutic strategies are available for ARID1A-mutant cancers. Recent studies found that loss of ARID1A is associated with increased phosphorylation of AKT. We found that from a study that analyzed data from Project Achilles, a broad shRNA screening project, PIK3CA is the number 2 gene essential for survival of ARID1A-mutant cell lines compared to ARID1A-wildtype cell lines (P = 7.37 × 10-6, FDR < 0.001). Based on these findings, we hypothesized that the PI3K pathway is a potential therapeutic target in ARID1A-mutant cancers. We analyzed the Cancer Genome Atlas (TCGA) datasets and found that mutations in the PI3K pathway co-occur with ARID1A mutations. In addition, the number of co-existing PI3K pathway mutations in the same sample is higher when ARID1A is mutated. We knocked down PIK3CA in ARID1A-wildtype cells (RMG1 and OVCAR3) and ARID1A-mutant cells (OVAS and HCH-1). We found that proliferation was impaired more profoundly in ARID1A-mutant cells. Interestingly, HCH-1 cells are wildtype in PIK3CA, PTEN, PIK3R1 and KRAS, but are still sensitive to PIK3CA depletion. For an unbiased approach, we analyzed the Genomics of Drug Sensitivity in Cancer datasets, which contain drug responses of a large cancer cell line panel to 138 anti-cancer drugs. We compared the drug responses of 49 cell lines harboring inactivating ARID1A-mutations with 266 ARID1A-wildtype cell lines. We found that the presence of inactivating ARID1A mutations is highly associated with sensitivity to mTOR inhibitor AZD8055 (ranked 2nd, P = 2.00 × 10-3) and AKT inhibitor MK2206 (ranked 4th, P = 7.98 × 10-3). This association is still significant for MK2206 when we removed cell lines with PIK3CA, KRAS, PTEN, PIK3R1 and TSC1 alterations (P = 1.32 × 10-2). Finally, we investigated how ARID1A loss can directly increase PI3K/mTOR activity. Using microarray analysis, we found that knockdown of ARID1A up-regulated MYC and MYC target genes, including SLC7A5, an amino-acid transporter required for mTOR activation. Analysis of TCGA datasets showed that MYC amplification and ARID1A mutations are mutual exclusive events, suggesting that overexpression of MYC and loss of ARID1A may converge on the same pathway. In conclusion, we found that ARID1A-mutant cells are highly sensitive to PI3K/mTOR inhibition. Although ARID1A mutations frequently co-occur with PI3K pathway mutations, it is not the sole explanation of this specific sensitivity. ARID1A loss may increase mTOR signaling through MYC target gene SLC7A5. However, increase in PI3K/mTOR activity maybe a long term effect of ARID1A loss. Together, our data identified PI3K/mTOR signaling is essential for survival of ARID1A-mutant cancers and PI3K/mTOR inhibitors can be used as therapeutic strategies. Citation Format: Suet-Yan Kwan, Daisy I. Izaguirre, Xuanjin Cheng, Suet-Ying Kwan, Yvonne TM Tsang, Hoi-Shan Kwan, Kwong-Kwok Wong. The PI3K/mTOR pathway is a potential therapeutic target in cancers with ARID1A mutations. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4697. doi:10.1158/1538-7445.AM2015-4697

Purpose: It is difficult to prioritize potential therapeutic targets from thousands of differentially expressed genes identified by genome-wide gene expression profiling in cancer. The vast array of in silico resources currently available in life sciences research offer the possibility of aiding drug discovery process. Here we propose to take advantage of these resources to develop a genetic network-based model to comprehensively and effectively identify potential therapeutic targets in several cancer types. Method: A whole-genome genetic network, which can reveal the tendency for genes to operate in the same or similar pathways, is first constructed from heterogeneous data using a developed machine learning approach, RVM-based ensemble. A tumor-specific network can then be generated by mapping the differentially expressed genes in a tumor to the whole-genome network. Finally, potential therapeutic targets can be identified as hub genes that are functionally associated to multiple existing cancer pathways in the tumor-specific network. Result: Here, the approach is applied to Breast, Colon, and Lung Cancer separately. In each case, differentially expressed genes are all ranked based on the extent of their functional association with multiple known cancer pathways in the tumor-specific network. The result in each case shows that higher ranked genes are cited by more literature respectively related to the three cancers (Spearman's Rank Correlations, R>0.2 with p<1×10−10); that is, they likely play more important roles in these cancers, compared to lower ranked genes. While mapping the results to gene annotation, we find that many kinase, receptor, and transcription factor related genes, which are often proposed as possible molecular targets, are ranked highly in all cases. We also find that the effective targets detected by siRNA screens tend to be ranked highly in each case (the area under the ROC curve, AUC>0.75). Additionally, we also identified drugs and compounds that can target the highly ranked genes based on known drug-target information. Targets of many drugs, already in clinical trials and used for treatment of the three cancers, are all highly ranked in each case. Other drugs and compounds identified but not in clinical trials have also shown anti-cancer effect and could be considered as potential novel drug for these cancers. Moreover, we also find several novel targets in each case, which are not yet identified as cancer genes, are highly ranked and also increase cancer cell death in siRNA screens. One example is CSNK1G2 (casein kinase 1, gamma 2) in Colon cancer. Conclusion: Our approach has demonstrated the ability to identify potential therapeutic targets in cancer systematically and comprehensively using integrated functional genomic and proteomic data. It also implies that the proposed approach could be utilized to generate personal therapeutics. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 109.

BackgroundCD8+ T cells play central roles in tumor immune surveillance and are major effectors in adoptive cell therapy. Thus, strategies that enhance their functions are an urgent clinical need. Metabolic...

The discovery of therapeutic targets is important for cancer treatment. Although dozens of targets have been used in cancer therapies, cancer remains a serious disease with a high mortality rate. Owing to the expansion of cancer-related data, we now have the opportunity to infer therapeutic targets using computational biology methods. Here, we describe a method, termed anticancer activity enrichment analysis, used to determine genes that could be used as therapeutic targets. The results show that these genes have high likelihoods of being developed into clinical targets (>60%). Combined with gene expression data, we predicted 50 candidate targets for lung cancer, of which 19 of the top 20 genes are targeted by approved drugs or drugs used in clinical trials. A hexokinase family member, hexokinase domain-containing protein 1 (HKDC1), is the only one of the top 20 genes that has not been targeted by either an approved drug or one being used in clinical trials. Further investigations indicate that HKDC1 is a novel potential therapeutic target for lung cancer. We developed a protocol to identify potential therapeutic targets from heterogeneous data. We suggest that HKDC1 is a novel potential therapeutic target for lung cancer. huangjf@mail.kiz.ac.cn Supplementary data are available at Bioinformatics online.

Uptake of long-chain fatty acids from the bone marrow suppresses CD8+ T-cell metabolism and function in multiple myeloma

Given that inflammatory T-cells have a highly glycolytic metabolism, whereas regulatory T-cells rely more on oxidative glucose metabolism, there is growing interest in understanding how T-cell metabolism relates to T-cell function. The mTORC1 (mammalian target of rapamycin complex 1) has a crucial role to determine the balance between effector and regulatory T-cell differentiation, but is also described as a key regulator of metabolism in non-immune cell systems. The present review explores the relationship between these diverse functions of mTORC1 with regard to T-cell function. In many cell systems, mTORC1 couples PI3K (phosphoinositide 3-kinase) and PKB (protein kinase B), also known as Akt, with the control of glucose uptake and glycolysis. However, this is not the case in activated CD8+ CTLs (cytotoxic T-lymphocytes) where PI3K/PKB signalling is dispensable for the elevated levels of glycolysis that is characteristic of activated T-cells. Nevertheless, mTORC1 is still essential for glycolytic metabolism in CD8+ T-cells, and this reflects the fact that mTORC1 does not lie downstream of PI3K/PKB signalling in CD8+ T-cells, as is the case in many other cell systems. mTORC1 regulates glucose metabolism in CTLs through regulating the expression of the transcription factor HIF1α (hypoxia-inducible factor 1α). Strikingly, HIF1α functions to couple mTORC1 with a diverse transcriptional programme that extends beyond the control of glucose metabolism to the regulation of multiple key T-cell functions. The present review discusses the idea that mTORC1/HIF1α signalling integrates the control of T-cell metabolism and T-cell function.

BackgroundThe origin recognition complex 1 (ORC1) is a large subunit of the origin recognition complex and acts as the master subunit of the precoding complex.ObjectiveTo explore potential function and clinical significance of ORC1 in cancers.MethodsThe expression level of ORC1 in different types of tumor tissues and matched normal tissues were detected by The Cancer Genome Atlas (TCGA) and validated by datasets from the gene expression omnibus (GEO) database. The association between ORC1 expression and infiltration levels of immune cell was analyzed. ORC1 and its co-expression genes were subjected to enrichment analysis to explore potential mechanisms in cancers, and the protein-protein interaction (PPI) network was constructed. Finally, the expression of ORC1 in tumor tissue and adjacent tissue was verified by immunohistochemistry (IHC).ResultsORC1 was highly expressed in the majority of tumors, and the expression level of ORC1 was associated with the pathological stages of ACC, LUAD, OV and SKCM. ORC1 was closely related with poor prognosis in ACC, LIHC, PAAD, READ and THCA. ORC1 in ACC and KICH was positively correlated with the infiltration level of immune cells while it was negatively correlated with the infiltration level of immune cells in THYM. Co-expression network analysis showed that CDCA3, GSG2, KIF2C, NCAPH and PLK1 were positively correlated with ORC1 in cancer, and enrichment analysis showed a correlation with cytosol, ATP binding and cell division. The expression of ORC1 in UCEC and KICH was higher than that in the adjacent tissues.ConclusionORC1 over-expressed in most tumors and could be severed as a novel biomarker for diagnosis. This study revealed that ORC1 might inhibit tumor immunity and might be a potential therapeutic target in cancers.

Ubiquitin-like protein FAT10: A potential cardioprotective factor and novel therapeutic target in cancer

Liver X receptors (LXRs) are important members of the nuclear receptor family that were originally determined to function in cholesterol transport and the regulation of immune responses. Synthetic LXR ligands have been developed to treat various diseases including diabetes, Alzheimer's disease and atherosclerosis. Previous studies have suggested that LXRs are also involved in numerous types of cancer and are therefore potential targets for cancer therapeutics. The present review summarizes LXR ligands and their mechanisms of action, the effects of LXRs in different types of cancer and their potential applications in clinical treatment. Together, the studies discussed in the present review indicate that LXRs may be potential targets for cancer therapeutics.

Accomplices in Cure: Blinatumomab + Dasatinib Reduces TCR Signaling and Effector Function Stronger Than Ponatinib and Ameliorates T-Cell Exhaustion

Pancreatic adenocarcinoma (PAAD) is a highly aggressive cancer with a poor prognosis, reliable markers are urgently needed for early detection and prognosis evaluation. SAPCD2, a cell cycle related gene, has been implicated in tumorigenesis and proposed as a potential therapeutic target in cancer. However, no comprehensive study has explored its expression and regulation, discussed its role in tumor prognosis and immune modulation, along with therapy response in pan-cancer until now. SAPCD2 expression was analyzed using data from The Cancer Genome Atlas database (TCGA) and Human Protein Atlas (HPA) database. Genetic and epigenetic alterations of SAPCD2 and the immune microenvironment were explored via NCBI, TIMER2 and cBioPortal platforms. Western blot analysis and immunohistochemistry (IHC) were performed to check SAPCD2 protein expression in PAAD cells and tissues. Cell counting kit 8 (CCK8), flow cytometry, and transwell experiments were used to evaluate the role of SAPCD2 in PAAD cell lines. Our study found that SAPCD2 is notably upregulated in various cancers, especially early-stage digestive cancers, and is linked to poor survival in most cancers like PAAD and LIHC. Gene amplification and promoter DNA hypomethylation appear to drive this upregulation. Additionally, SAPCD2 expression correlates with tumor mutation burden, microsatellite instability, and immune scores across several cancers. In PAAD, elevated SAPCD2 levels correlated with reduced immune activity, whereas in stomach cancer (STAD), its prognostic impact appeared immune-independent. In PDAC cell lines, SAPCD2 knockdown reduced proliferation and invasion, and caused reduction of G0/G1 phase. PAAD cells with high SAPCD2 expression showed increased sensitivity to DNA-PK, p38α MAPK, and Bcl-2 inhibitors. SAPCD2 serves as both a prognostic marker and a potential therapeutic target in PAAD, where its low expression may enhance responsiveness to specific drugs. These findings underscore SAPCD2's dual role in cancer progression and therapy.

Retinoic acid receptor-related orphan receptors (RORs) include RORα (NR1F1), RORβ (NR1F2), and RORγ (NR1F3). These receptors are reported to activate transcription through ligand-dependent interactions with co-regulators and are involved in the development of secondary lymphoid tissues, autoimmune diseases, inflammatory diseases, the circadian rhythm, and metabolism homeostasis. Researches on RORs contributing to cancer-related processes have been growing, and they provide evidence that RORs are likely to be considered as potential therapeutic targets in many cancers. RORα has been identified as a potential therapeutic target for breast cancer and has been investigated in melanoma, colorectal colon cancer, and gastric cancer. RORβ is mainly expressed in the central nervous system, but it has also been studied in pharyngeal cancer, uterine leiomyosarcoma, and colorectal cancer, in addition to neuroblastoma, and recent studies suggest that RORγ is involved in various cancers, including lymphoma, melanoma, and lung cancer. Some studies found RORγ to be upregulated in cancer tissues compared with normal tissues, while others indicated the opposite results. With respect to the mechanisms of RORs in cancer, previous studies on the regulatory mechanisms of RORs in cancer were mostly focused on immune cells and cytokines, but lately there have been investigations concentrating on RORs themselves. Thus, this review summarizes reports on the regulation of RORs in cancer and highlights potential therapeutic targets in cancer.