Association of HADHA expression with the risk of breast cancer: targeted subset analysis and meta-analysis of microarray data

HADHA promotes glioma progression by accelerating MDM2-mediated p53 ubiquitination

Glioma represents a notoriously aggressive and malignant tumor that targets the central nervous system, with a poor prognosis for patients. In this research, we set out to examine the role of hydroxyacyl-CoA dehydrogenase trifunctional multienzyme complex subunit alpha (HADHA) in glioma, its clinical significance, as well as its potential biological mechanisms. In this study, we used immunohistochemistry staining to assess the expression level of HADHA in glioma tissues. We also evaluated the correlation between HADHA expression and patient survival using the Kaplan-Meier method. To determine the role of HADHA in glioma cells, we conducted loss-of-function assays in vitro and in vivo. Additionally, we utilized co-immunoprecipitation and protein stability assays to investigate the potential mechanisms involving HADHA, MDM2, and p53 in glioma. Our research findings indicate that gliomas exhibit high levels of HADHA. Clinically, high expression of HADHA suggests an increased risk of malignant tumors, recurrence, and reduced survival rates. Functionally, knocking down HADHA can lead to decreased proliferation, enhanced apoptosis, and inhibited migration of glioma cells. Mechanistically, HADHA accelerates MDM2-mediated p53 ubiquitination through interaction with MDM2. Consistently, MDM2 knockdown or overexpression of p53 can attenuate the promoting effect of HADHA overexpression on the malignant progression of glioma. We have discovered a novel role of HADHA in promoting MDM2-mediated p53 ubiquitination, which contributes to the progression of glioma. This finding provides a new perspective to understand the pathogenesis of glioma and offers a potential target for developing innovative therapeutic strategies.

HADHA promotes ovarian cancer outgrowth via up-regulating CDK1

BACKGROUND

Ovarian cancer, a prevalent cause of cancer-related mortality among gynecological cancers, still lacks a clear understanding of its pathogenesis. In this study, our objective was to investigate the functional roles and pathogenic mechanisms of HADHA in ovarian cancer.

METHODS

We utilized an ovarian cancer tissue microarray and three ovarian cancer cell lines (HO-8910, A2780, and SK-OV-3) for our analysis. Lentiviral-mediated short hairpin RNA (shRNA) was employed to interfere with HADHA expression in ovarian cancer cells. Various cellular events associated with tumor development were assessed using techniques such as Celigo cell counting assay, wound healing assay, Transwell assay, and flow cytometry analysis. Additionally, xenograft tumor models were developed to visualize the impacts of HADHA/CDK1 on ovarian cancer progression.

RESULTS

Our data revealed significant HADHA overexpression in both ovarian cancer tissues and cell lines. Patients with elevated HADHA levels tended to experience poor survival outcomes. Moreover, HADHA upregulation correlated with several pathological parameters, including pathological stage, tumor size, tumor infiltrate, metastasis, and recurrence. Loss-of-function experiments targeting HADHA demonstrated that its suppression in ovarian cancer cells hindered cell growth and migration, while promoting apoptosis. To elucidate the underlying mechanism by which HADHA regulates ovarian cancer, we identified CDK1 as a target of HADHA. HADHA upregulated CDK1 expression by inhibiting its ubiquitination-dependent proteasomal degradation. Significantly, the overexpression of CDK1 reversed the impaired cell development caused by HADHA depletion, both in vitro and in vivo.

CONCLUSION

Our study highlights the involvement of HADHA in ovarian cancer tumorigenesis and suggests its potential as a promising prognostic marker in ovarian cancer. Through its regulation of CDK1, HADHA influences critical cellular processes in ovarian cancer, providing insights into its pathogenic mechanism.

The Physiological and Pathological Role of Acyl-CoA Oxidation

Fatty acid metabolism, including β-oxidation (βOX), plays an important role in human physiology and pathology. βOX is an essential process in the energy metabolism of most human cells. Moreover, βOX is also the source of acetyl-CoA, the substrate for (a) ketone bodies synthesis, (b) cholesterol synthesis, (c) phase II detoxication, (d) protein acetylation, and (d) the synthesis of many other compounds, including N-acetylglutamate-an important regulator of urea synthesis. This review describes the current knowledge on the importance of the mitochondrial and peroxisomal βOX in various organs, including the liver, heart, kidney, lung, gastrointestinal tract, peripheral white blood cells, and other cells. In addition, the diseases associated with a disturbance of fatty acid oxidation (FAO) in the liver, heart, kidney, lung, alimentary tract, and other organs or cells are presented. Special attention was paid to abnormalities of FAO in cancer cells and the diseases caused by mutations in gene-encoding enzymes involved in FAO. Finally, issues related to α- and ω- fatty acid oxidation are discussed.

Abnormal expression of HADH, an enzyme of fatty acid oxidation, affects tumor development and prognosis (Review)

Tumor occurrence and progression are closely associated with abnormal energy metabolism and energy metabolism associated with glucose, proteins and lipids. The reprogramming of energy metabolism is one of the hallmarks of cancer. As a form of energy metabolism, fatty acid metabolism includes fatty acid uptake, de novo synthesis and β‑oxidation. In recent years, the role of abnormal fatty acid β‑oxidation in tumors has gradually been recognized. Mitochondrial trifunctional protein (MTP) serves an important role in fatty acid β‑oxidation and HADH (two subtypes: α subunit, HADHA and β subunit, HADHB) are important subunits of MTP. HADH participates in the steps of 2, 3 and 4 fatty acid β‑oxidation. However, there is no review summarizing the specific role of HADH in tumors. Therefore, the present study focused on HADH as the main indicator to explore the changes in fatty acid β‑oxidation in several types of tumors. The present review summarized the changes in HADH in 11 organs (cerebrum, oral cavity, esophagus, liver, pancreas, stomach, colorectum, lymph, lung, breast, kidney), the effect of up‑ and downregulation and the relationship of HADH with prognosis. In summary, HADH can be either a suppressor or a promoter depending on where the tumor is located, which is closely associated with prognostic assessment. HADHA and HADHB have similar prognostic roles in known and comparable tumors.

Mitochondrion-Mediated Cell Death through Erk1-Alox5 Independent of Caspase-9 Signaling

Mitochondrial disruption leads to the release of cytochrome c to activate caspase-9 and the downstream caspase cascade for the execution of apoptosis. However, cell death can proceed efficiently in the absence of caspase-9 following mitochondrial disruption, suggesting the existence of caspase-9-independent cell death mechanisms. Through a genome-wide siRNA library screening, we identified a network of genes that mediate caspase-9-independent cell death, through ROS production and Alox5-dependent membrane lipid peroxidation. Erk1-dependent phosphorylation of Alox5 is critical for targeting Alox5 to the nuclear membrane to mediate lipid peroxidation, resulting in nuclear translocation of cytolytic molecules to induce DNA damage and cell death. Consistently, double knockouts of caspase-9 and Alox5 in mice, but not deletion of either gene alone, led to significant T cell expansion with inhibited cell death, indicating that caspase-9- and Alox5-dependent pathways function in parallel to regulate T cell death in vivo. This unbiased whole-genome screening reveals an Erk1-Alox5-mediated pathway that promotes membrane lipid peroxidation and nuclear translocation of cytolytic molecules, leading to the execution of cell death in parallel to the caspase-9 signaling cascade.

Roles of hydroxyacyl-CoA dehydrogenase trifunctional multienzyme complex subunit alpha, a lipid metabolism enzyme, in Wilms tumor patients

Objectives

Wilms tumor is a common pediatric malignant tumor that accounts for approximately 95% of kidney tumors in children. The role of lipid metabolism in tumors has attracted increased attention in recent years. We examined the role of hydroxyacyl-CoA dehydrogenase trifunctional multienzyme complex subunit alpha (HADHA), a lipid metabolism enzyme, in the pathogenesis of Wilms tumor.

Materials and Methods

In a previous study, we screened Wilms tumors and adjacent normal tissues for differentially expressed proteins by mass spectrometry and verified the results by western blot analysis. The Oncomine database and quantitative reverse transcription-polymerase chain reaction were used to verify the expression of HADHA at the genetic level. Immunohistochemistry and immunofluorescence were also used to validate the differential expression of the HADHA protein. The relationship between histopathological typing, clinical pathology, and HADHA expression was analyzed in 65 paraffin-embedded specimens from pediatric Wilms tumor patients. Kaplan-Meier survival curves were used to analyze the relationship between the expression of HADHA and patient prognosis.

Results

HADHA was expressed at low levels in Wilms tumor tissue compared with the corresponding normal tissue. The expression of HADHA was closely associated with histopathological typing (P = 0.030). The prognostic analysis of 65 children with Wilms tumor showed that high expression of HADHA was closely associated with poor prognosis (P = 0.046).

Conclusions

HADHA expression is downregulated in Wilms tumor tissues, but high expression in tumor tissues is associated with clinical stage and the prognosis of children with this tumor.

Dysregulated Free Fatty Acid Receptor 2 Exacerbates Colonic Adenoma Formation in Apc Min/+ Mice: Relation to Metabolism and Gut Microbiota Composition

Free fatty acid receptor 2 (FFAR2) has been reported as a tumor suppressor in colon cancer development. The current study investigated the effects of FFAR2 signaling on energy metabolism and gut microbiota profiling in a colorectal cancer mouse model (Apc Min/+ ). Ffar2 deficiency promoted colonic polyp development and enhanced fatty acid oxidation and bile acid metabolism. Gut microbiome sequencing analysis showed distinct clustering among wild-type, Apc Min/+ , and Apc Min/+ -Ffar2 -/- mice. The relative abundance of Flavobacteriaceae and Verrucomicrobiaceae was significantly increased in the Apc Min/+ -Ffar2 -/- mice compared to the Apc Min/+ mice. In addition, knocking-down FFAR2 in the human colon cancer cell lines (SW480 and HT29) resulted in increased expression of several key enzymes in fatty acid oxidation, such as carnitine palmitoyltransferase 2, acyl-CoA dehydrogenase, long-chain acyl-CoA dehydrogenase, C-2 to C-3 short chain, and hydroxyacyl-CoA dehydrogenase/3-ketoacyl-CoA thiolase/enoyl-CoA hydratase, alpha subunit. Collectively, these results demonstrated that Ffar2 deficiency significantly altered profiles of fatty acid metabolites and gut microbiome, which might promote colorectal cancer development.

Protein acetylation in mitochondria plays critical functions in the pathogenesis of fatty liver disease

BACKGROUND

Fatty liver is a high incidence of perinatal disease in dairy cows caused by negative energy balance, which seriously threatens the postpartum health and milk production. It has been reported that lysine acetylation plays an important role in substance and energy metabolism. Predictably, most metabolic processes in the liver, as a vital metabolic organ, are subjected to acetylation. Comparative acetylome study were used to quantify the hepatic tissues from the severe fatty liver group and normal group. Combined with bioinformatics analysis, this study provides new insights for the role of acetylation modification in fatty liver disease of dairy cows.

RESULTS

We identified 1841 differential acetylation sites on 665 proteins. Among of them, 1072 sites on 393 proteins were quantified. Functional enrichment analysis shows that higher acetylated proteins are significantly enriched in energy metabolic pathways, while lower acetylated proteins are significantly enriched in pathways related to immune response, such as drug metabolism and cancer. Among significantly acetylated proteins, many mitochondrial proteins were identified to be interacting with multiple proteins and involving in lipid metabolism. Furthermore, this study identified potential important proteins, such as HADHA, ACAT1, and EHHADH, which may be important regulatory factors through modification of acetylation in the development of fatty liver disease in dairy cows and possible therapeutic targets for NAFLD in human beings.

CONCLUSION

This study provided a comprehensive acetylome profile of fatty liver of dairy cows, and revealed important biological pathways associated with protein acetylation occurred in mitochondria, which were involved in the regulation of the pathogenesis of fatty liver disease. Furthermore, potential important proteins, such as HADHA, ACAT1, EHHADH, were predicted to be essential regulators during the pathogenesis of fatty liver disease. The work would contribute to the understanding the pathogenesis of NAFLD, and inspire in the development of new therapeutic strategies for NAFLD.

Bisubstrate-Type Chemical Probes Identify GRP94 as a Potential Target of Cytosine-Containing Adenosine Analogs

We synthesized affinity-based chemical probes of cytosine-adenosine bisubstrate analogs and identified several potential targets by proteomic analysis. The validation of the proteomic analysis identified the chemical probe as a specific inhibitor of glucose-regulated protein 94 (GRP94), a potential drug target for several types of cancers. Therefore, as a result of the use of bisubstrate-type chemical probes and a chemical-biology methodology, this work opens the way to the development of a new family of GRP94 inhibitors that could potentially be of therapeutic interest.

Downregulation of HADH promotes gastric cancer progression via Akt signaling pathway

HADH is a key enzyme in fatty acid oxidation. The aim of this study was to identify the role of HADH in gastric cancer. We analyzed the expression of HADH in 102 pairs of gastric cancer samples. Western blot analysis revealed that HADH was decreased in stage I/II gastric cancer samples compared to matched adjacent normal gastric tissue, and its expression was further decreased in stage III/IV samples. Importantly, the reduced expression of HADH was associated with increased expression of p-Akt and reduced expression of PTEN in the gastric carcinoma tumor samples. To determine the significance of HADH downregulation in gastric cancer progression, we tested the impact of HADH knockdown or overexpression on the migration and invasion of the gastric cancer cells using a transwell assay. Knockdown of HADH significantly promoted gastric cancer cell migration and invasion, which was associated with increased expression of p-Akt. The PI3K inhibitor LY294002 inhibited HADH shRNA induced migration/invasion, and abolished the upregulation of p-Akt. By contrast, HADH overexpression inhibited the migration and invasion of MKN45 cells. Herein, for the first time, we demonstrate that downregulation of HADH promotes gastric cancer progression via activation of Akt signaling pathway.

Global profiling of alternative RNA splicing events provides insights into molecular differences between various types of hepatocellular carcinoma

Background

Dysregulations in alternative splicing (AS) patterns have been associated with many human diseases including cancer. In the present study, alterations to the global RNA splicing landscape of cellular genes were investigated in a large-scale screen from 377 liver tissue samples using high-throughput RNA sequencing data.

Results

Our study identifies modifications in the AS patterns of transcripts encoded by more than 2500 genes such as tumor suppressor genes, transcription factors, and kinases. These findings provide insights into the molecular differences between various types of hepatocellular carcinoma (HCC). Our analysis allowed the identification of 761 unique transcripts for which AS is misregulated in HBV-associated HCC, while 68 are unique to HCV-associated HCC, 54 to HBV&HCV-associated HCC, and 299 to virus-free HCC. Moreover, we demonstrate that the expression pattern of the RNA splicing factor hnRNPC in HCC tissues significantly correlates with patient survival. We also show that the expression of the HBx protein from HBV leads to modifications in the AS profiles of cellular genes. Finally, using RNA interference and a reverse transcription-PCR screening platform, we examined the implications of cellular proteins involved in the splicing of transcripts involved in apoptosis and demonstrate the potential contribution of these proteins in AS control.

Conclusions

This study provides the first comprehensive portrait of global changes in the RNA splicing signatures that occur in hepatocellular carcinoma. Moreover, these data allowed us to identify unique signatures of genes for which AS is misregulated in the different types of HCC.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-016-3029-z) contains supplementary material, which is available to authorized users.

Prognostic significance of two lipid metabolism enzymes, HADHA and ACAT2, in clear cell renal cell carcinoma

Renal cell carcinoma (RCC) is one of the leading causes of cancer mortality in adults, but there is still no acknowledged biomarker for its prognostic evaluation. Our previous proteomic data had demonstrated the dysregulation of some lipid metabolism enzymes in clear cell RCC (ccRCC). In the present study, we elucidated the expression of two lipid metabolism enzymes, hydroxyl-coenzyme A dehydrogenase, alpha subunit (HADHA) and acetyl-coenzyme A acetyltransferase 2 (ACAT2), using Western blotting analysis, then assessed the prognostic potential of HADHA and ACAT2 using immunohistochemistry (IHC) on a tissue microarray of 145 ccRCC tissues. HADHA and ACAT2 were downregulated in ccRCC (P < 0.05); further IHC analysis revealed that HADHA expression was significantly associated with tumor grade, stage, size, metastasis, and cancer-specific survival (P = 0.004, P < 0.001, P < 0.001, P = 0.049, P < 0.001, respectively) and ACAT2 expression was significantly associated with tumor stage, size, and cancer-specific survival (P < 0.001, P = 0.001, P < 0.001, respectively). In addition, a strong correlation was found between HADHA and ACAT2 expression (R = 0.655, P < 0.001). Further univariate survival analysis demonstrated that high stage, big tumor size, metastasis, and HADHA and ACAT2 down-expression were associated with poorer prognosis on cancer-specific survival (P = 0.007, P = 0.005, P = 0.006, P < 0.001, P = 0.001, respectively), and multivariate analysis revealed that HADHA, stage, and metastasis were identified as independent prognostic factors for cancer-specific survival in patients with ccRCC (P = 0.018, P = 0.046, P = 0.001, respectively). Collectively, these findings indicated that HADHA could serve as a promising prognostic marker in ccRCC, which indicated lipid metabolism abnormality might be involved in ccRCC tumorigenesis.

Disease Comorbidity Network Guides the Detection of Molecular Evidence for the Link Between Colorectal Cancer and Obesity

Epidemiological studies suggested that obesity increases the risk of colorectal cancer (CRC). The genetic connection between CRC and obesity is multifactorial and inconclusive. In this study, we hypothesize that the study of shared comorbid diseases between CRC and obesity can offer unique insights into common genetic basis of these two diseases. We constructed a comorbidity network based on mining health data for millions of patients. We developed a novel approach and extracted the diseases that play critical roles in connecting obesity and CRC in the comorbidity network. Our approach was able to prioritize metabolic syndrome and diabetes, which are known to be associated with obesity and CRC through insulin resistance pathways. Interestingly, we found that osteoporosis was highly associated with the connection between obesity and CRC. Through gene expression meta-analysis, we identified novel genes shared among CRC, obesity and osteoporosis. Literature evidences support that these genes may contribute in explaining the genetic overlaps between obesity and CRC.

Two-dimensional gel electrophoresis of gastric tissue in an alkaline pH range

2DE in combination with MS has facilitated the discovery of several proteins with altered abundance in gastric cancer. While acidic and wide pH ranges have been widely investigated, analysis in the alkaline pH range has not been specifically performed in gastric cancer to date. In the present study, we initially optimized the 2DE in alkaline pH range (pH 7-11) for gastric tissue samples. Using a modified lysis buffer, we analyzed pooled nontumor and tumor samples for proteins with altered abundance in gastric adenocarcinoma. We successfully identified 38 silver-stained spots as 24 different proteins. Four of these were chosen for investigation with immunoblotting on individual paired samples to determine whether the changes seen in 2DE represent the overall abundance of the protein or possibly only a single form. While mitochondrial trifunctional protein (MTP) subunits were decreased in 2DE gels, immunoblotting identified their overall abundance as being differently dysregulated: in the gastric tumor samples, the MTP-α subunit was decreased, and the MTP-β subunit was increased. On the other hand, heterogenous nuclear ribonucleoprotein M and galectin-4 were increased in the gastric tumor samples in both 2DE and immunoblotting.

Comprehensive analysis of transcriptome variation uncovers known and novel driver events in T-cell acute lymphoblastic leukemia

RNA-seq is a promising technology to re-sequence protein coding genes for the identification of single nucleotide variants (SNV), while simultaneously obtaining information on structural variations and gene expression perturbations. We asked whether RNA-seq is suitable for the detection of driver mutations in T-cell acute lymphoblastic leukemia (T-ALL). These leukemias are caused by a combination of gene fusions, over-expression of transcription factors and cooperative point mutations in oncogenes and tumor suppressor genes. We analyzed 31 T-ALL patient samples and 18 T-ALL cell lines by high-coverage paired-end RNA-seq. First, we optimized the detection of SNVs in RNA-seq data by comparing the results with exome re-sequencing data. We identified known driver genes with recurrent protein altering variations, as well as several new candidates including H3F3A, PTK2B, and STAT5B. Next, we determined accurate gene expression levels from the RNA-seq data through normalizations and batch effect removal, and used these to classify patients into T-ALL subtypes. Finally, we detected gene fusions, of which several can explain the over-expression of key driver genes such as TLX1, PLAG1, LMO1, or NKX2-1; and others result in novel fusion transcripts encoding activated kinases (SSBP2-FER and TPM3-JAK2) or involving MLLT10. In conclusion, we present novel analysis pipelines for variant calling, variant filtering, and expression normalization on RNA-seq data, and successfully applied these for the detection of translocations, point mutations, INDELs, exon-skipping events, and expression perturbations in T-ALL.

The quest for somatic mutations underlying oncogenic processes is a central theme in today's cancer research. High-throughput genomics approaches including amplicon re-sequencing, exome re-sequencing, full genome re-sequencing, and SNP arrays have contributed to cataloguing driver genes across cancer types. Thus far transcriptome sequencing by RNA-seq has been mainly used for the detection of fusion genes, while few studies have assessed its value for the combined detection of SNPs, INDELs, fusions, gene expression changes, and alternative transcript events. Here we apply RNA-seq to 49 T-ALL samples and perform a critical assessment of the bioinformatics pipelines and filters to identify each type of aberration. By comparing to exome re-sequencing, and by exploiting the catalogues of known cancer drivers, we identified many known and several novel driver genes in T-ALL. We also determined an optimal normalization strategy to obtain accurate gene expression levels and used these to identify over-expressed transcription factors that characterize different T-ALL subtypes. Finally, by PCR, cloning, and in vitro cellular assays we uncover new fusion genes that have consequences at the level of gene expression, oncogenic chimaeras, and tumor suppressor inactivation. In conclusion, we present the first RNA-seq data set across T-ALL patients and identify new driver events.