Reprogramming of fatty acid metabolism in cancer

The role of cisplatin in modulating the tumor immune microenvironment and its combination therapy strategies: a new approach to enhance anti-tumor efficacy

Cisplatin is a platinum-based drug that is frequently used to treat multiple tumors. The anti-tumor effect of cisplatin is closely related to the tumor immune microenvironment (TIME), which includes several immune cell types, such as the tumor-associated macrophages (TAMs), cytotoxic T-lymphocytes (CTLs), dendritic cells (DCs), myeloid-derived suppressor cells (MDSCs), regulatory T cells (Tregs), and natural killer (NK) cells. The interaction between these immune cells can promote tumor survival and chemoresistance, and decrease the efficacy of cisplatin monotherapy. Therefore, various combination treatment strategies have been devised to enhance patient responsiveness to cisplatin therapy. Cisplatin can augment anti-tumor immune responses in combination with immune checkpoint blockers (such as PD-1/PD-L1 or CTLA4 inhibitors), lipid metabolism disruptors (like FASN inhibitors and SCD inhibitors) and nanoparticles (NPs), resulting in better outcomes. Exploring the interaction between cisplatin and the TIME will help identify potential therapeutic targets for improving the treatment outcomes in cancer patients.

Metabolomics integrated genomics approach: Understanding multidrug resistance phenotype in MCF-7 breast cancer cells exposed to doxorubicin and ABCA1/EGFR/PI3k/PTEN crosstalk

Resistance of cancer cells, especially breast cancer, to therapeutic medicines represents a major clinical obstacle that impedes the stages of treatment. Carcinoma cells that acquire resistance to therapeutic drugs can reprogram their own metabolic processes as a way to overcome the effectiveness of treatment and continue their reproduction processes. Despite the recent developments in medical research in the field of drug resistance, which showed some explanations for this phenomenon, the real explanation, along with the ability to precisely predict the possibility of its occurrence in breast cancer cells, still necessitates a deep consideration of the dynamics of the tumor's response to treatment. For this purpose the current study, combined both in vitro metabolomics and in vivo genomics analysis as the most advanced omics technologies that can provide a potential en route for inventing novel strategies to perform prospective, prognostic and diagnostic biomarkers for drug resistance phenomena in mammary cancer. Doxorubicin is the currently available breast cancer chemotherapeutic medication nevertheless; it was demonstrated to cause drug resistance, which impairs patient survival and prognosis by prompting proliferation, cell cycle progression, and preventing apoptosis, interactions between signaling pathways triggered drug resistance. In this research, in vitro metabolomics analysis based on GC-MS coupled with multivariable analysis was performed on MCF-7 and DOX resistant cell lines; MCF-7/adr cultured cells in addition to, further in vivo confirmation via inducing mammary cancer in rats via two doses of 7,12-dimethylbenz(a) anthracene (DMBA) (50 mg/kg and 25 mg/kg) proceeded by doxorubicin (5 mg/kg) treatment for one month. The metabolomics in vitro results pointed out that mannitol, myoinositol, glycine, α-linolenic acid, oleic acid and stearic acid have AUC values: 0.14, 0.5, 0.7, 0.1, 0.02, -0.02 (1, 1) respectively. Glycine and myoinositol metabolites provided the best discriminative power in the wild and resistance MCF-7 phenotypes. Meanwhile, in vivo results revealed a significant crosstalk between the alternation in oxidative stress biomarkers as well as Arginase II tumor biomarker and the molecular assessment of ABCA1 and P53 gene expression that displayed a marked reduction in addition to, the obvious elevation in resistance and apoptotic biomarkers EGFR/PI3k/AKT/PTEN signaling pathway upon DMBA administration. Data revealed a significant alternation in signaling pathways related to resistance upon doxorubicin administration that affect lipid metabolism in breast cancer. In conclusion, Metabolomics integrated genomics analysis may be promising in understanding multidrug resistance phenotype in MCF-7 breast cancer cells exposed to doxorubicin through modulating ABCA1/EGFR/P53/PI3k/PTEN signaling pathway thus metabolic biomarkers in addition to molecular biomarkers elucidate the challenges fronting profitable therapy of mammary cancer and an pioneering approaches that metabolomics compromises to improve recognizing drug resistance in breast carcinoma.

Metabolic crosstalk between platelets and cancer: Mechanisms, functions, and therapeutic potential

Platelets, traditionally regarded as passive mediators of hemostasis, are now recognized as pivotal regulators in the tumor microenvironment, establishing metabolic feedback loops with tumor and immune cells. Tumor-derived signals trigger platelet activation, which induces rapid metabolic reprogramming, particularly glycolysis, to support activation-dependent functions such as granule secretion, morphological changes, and aggregation. Beyond self-regulation, platelets influence the metabolic processes of adjacent cells. Through direct mitochondrial transfer, platelets reprogram tumor and immune cells, promoting oxidative phosphorylation. Additionally, platelet-derived cytokines, granules, and extracellular vesicles drive metabolic alterations in immune cells, fostering suppressive phenotypes that facilitate tumor progression. This review examines three critical aspects: (1) the distinctive metabolic features of platelets, particularly under tumor-induced activation; (2) the metabolic crosstalk between activated platelets and other cellular components; and (3) the therapeutic potential of targeting platelet metabolism to disrupt tumor-promoting networks. By elucidating platelet metabolism, this review highlights its essential role in tumor biology and its therapeutic implications.

MOSPD1 facilitates fatty acid metabolism and gastric cancer progression by promoting the MAPK pathway

BACKGROUND

Motile sperm domain containing 1 (MOSPD1) is overexpressed in colorectal, prostate, and breast cancers, but its role in gastric cancer (GC) progression remains unclear.

METHODS

The effect of MOSPD1 was evaluated using cell viability, colony formation, wound healing, and Transwell assays. Triglyceride and lipid levels were measured in GC cells. Western blotting was used to examine protein expression. A mouse model of subcutaneous tumor xenotransplantation was used to evaluate the effects of MOSPD1 knockdown on GC cells.

RESULTS

MOSPD1 expression in GC tissues and cells was higher than in normal tissues and cells. MOSPD1 knockdown decreased the proliferation, migration, and invasion of GC cells and the growth of subcutaneous tumors. MOSPD1 overexpression increased the proliferation, migration, and invasion of GC cells. Levels of triglyceride, lipid, and fatty acid synthesis-related enzymes (ACLY, ACC1, and FASN) were downregulated in MOSPD1 knockdown cells and upregulated in MOSPD1 overexpressed cells. MOSPD1 knockdown inhibited the phosphorylation of ERK, JNK, and P38 in GC cells and subcutaneous tumors. MOSPD1 overexpression promoted the phosphorylation of ERK, JNK, and P38 in GC cells.

CONCLUSIONS

High MOSPD1 expression facilitates fatty acid metabolism and GC progression by activating the MAPK pathway. Thus, MOSPD1 may be a potential therapeutic target for GC.

Identification and dissection of prostate cancer grounded on fatty acid metabolism-correlative features for predicting prognosis and assisting immunotherapy

BACKGROUND

Fatty acid metabolism (FAM) plays a critical role in tumor progression and therapeutic resistance by enhancing lipid biosynthesis, storage, and catabolism. Dysregulated FAM is a hallmark of prostate cancer (PCa), enabling cancer cells to adapt to extracellular signals and metabolic changes, with the tumor microenvironment (TME) playing a key role. However, the prognostic significance of FAM in PCa remains unexplored.

METHODS

We analyzed 309 FAM-related genes to develop a prognostic model using least absolute shrinkage and selection operator (LASSO) regression based on The Cancer Genome Atlas (TCGA) database. This model stratified PCa patients into high- and low-risk groups and was validated using the Gene Expression Omnibus (GEO) database. We constructed a nomogram incorporating risk score, clinical variables (T and N stage, Gleason score, age), and assessed its performance with calibration curves. The associations between risk score, tumor mutation burden (TMB), immune checkpoint inhibitors (ICIs), and TME features were also examined. Finally, a hub gene was identified via protein-protein interaction (PPI) networks and validated.

RESULTS

The risk score was an independent prognostic factor for PCa. High-risk patients showed worse survival outcomes but were more responsive to immunotherapy, chemotherapy, and targeted therapies. A core gene with high expression correlated with poor prognosis, unfavorable clinicopathological features, and immune cell infiltration.

CONCLUSION

These findings reveal the prognostic importance of FAM in PCa, providing novel insights into prognosis and potential therapeutic targets for PCa management.

To investigate the effect and mechanism of tetrahydrocurcumin on hepatocellular carcinoma based on phosphoinositide 3-kinases/AKT signaling pathway

BACKGROUND

Liver cancer has a high incidence and mortality worldwide, especially in China. Herein, we investigated the therapeutic effect and mechanism of tetrahydrocurcumin against hepatocellular carcinoma (HCC), with a focus on the of phosphoinositide 3-kinases (PI3K)/AKT signaling pathway.

AIM

To investigate the effects and mechanism of tetrahydrocurcumin in HCC cell lines HepG2 and Huh7.

METHODS

Using Metascape, we analyzed the potential targets of tetrahydrocurcumin in HCC. Molecular docking validation was performed using SYBYL2.0. Cell Counting Kit-8, wound healing, and transwell assays were performed to evaluate the effects of tetrahydrocurcumin on HepG2 and Huh7 cell migration, invasion, and apoptosis. The expression of PI3K/AKT signaling pathway-related proteins was detected by western blotting.

RESULTS

Network pharmacology and molecular docking showed that tetrahydrocurcumin has high binding affinity for phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha. In vitro experiments demonstrated that tetrahydrocurcumin suppressed the migration and invasion of liver cancer cells, promoted their apoptosis, and downregulated the expression of p-PI3K, p-AKT, and B cell leukemia/lymphoma 2, while upregulating caspase-3, p53, and B cell leukemia/lymphoma 2 associated X.

CONCLUSION

In summary, tetrahydrocurcumin suppresses PI3K/AKT signaling, promotes apoptosis, and prevents the migration and invasion of liver cancer cells.

CE-MS Metabolomic and LC-MS Proteomic Analyses of Breast Cancer Exosomes Reveal Alterations in Purine and Carnitine Metabolism

A nanosheath-flow capillary electrophoresis mass spectrometry (CE-MS) system with electrospray ionization was used to profile cationic metabolite cargo in exosomes secreted by nontumorigenic MCF-10A and tumorigenic MDA-MB-231 breast epithelial cells. An in-house-produced sheath liquid interface was developed and machined from PEEK to enable nanoflow volumes. Normalization of CE-MS peak areas to the total UV signal was employed to enhance quantitative accuracy and reduce variability. CE-MS-based metabolomics revealed increased purine synthesis intermediates and increased carnitine synthesis metabolites in MDA-MB-231-derived exosomes, with pathway enrichment indicating the activation of de novo purine pathways and upregulation of carnitine metabolism. In addition, nano-LC-MS-based proteomics revealed differential expression of ecto-5'-nucleotidase (NT5E) and mitochondrial aldehyde dehydrogenase (ALDH9A1), demonstrating metabolic alterations in related enzymatic steps. This study demonstrates the application of nanosheath-flow CE-MS for comprehensive and quantitative exosome metabolomics, uncovering metabolic reprogramming in purine and carnitine pathways between normal and cancerous breast cell lines and providing insight into exosome-mediated signaling of breast cancer metabolism.

Lipid metabolic reprograming: the unsung hero in breast cancer progression and tumor microenvironment

Aberrant lipid metabolism is a well-recognized hallmark of cancer. Notably, breast cancer (BC) arises from a lipid-rich microenvironment and depends significantly on lipid metabolic reprogramming to fulfill its developmental requirements. In this review, we revisit the pivotal role of lipid metabolism in BC, underscoring its impact on the progression and tumor microenvironment. Firstly, we delineate the overall landscape of lipid metabolism in BC, highlighting its roles in tumor progression and patient prognosis. Given that lipids can also act as signaling molecules, we next describe the lipid signaling exchanges between BC cells and other cellular components in the tumor microenvironment. Additionally, we summarize the therapeutic potential of targeting lipid metabolism from the aspects of lipid metabolism processes, lipid-related transcription factors and immunotherapy in BC. Finally, we discuss the possibilities and problems associated with clinical applications of lipid‑targeted therapy in BC, and propose new research directions with advances in spatiotemporal multi-omics.

Interactions of Fatty Acid and Cholesterol Metabolism with Cellular Stress Response Pathways in Cancer

Lipids have essential functions as structural components of cellular membranes, as efficient energy storage molecules, and as precursors of signaling mediators. While deregulated glucose and amino acid metabolism in cancer have received substantial attention, the roles of lipids in the metabolic reprogramming of cancer cells are less well understood. However, since the first description of de novo fatty acid biosynthesis in cancer tissues almost 70 years ago, numerous studies have investigated the complex functions of altered lipid metabolism in cancer. Here, we will summarize the mechanisms by which oncogenic signaling pathways regulate fatty acid and cholesterol metabolism to drive rapid proliferation and protect cancer cells from environmental stress. The review also discusses the role of fatty acid metabolism in metabolic plasticity required for the adaptation to changing microenvironments during cancer progression and the connections between fatty acid and cholesterol metabolism and ferroptosis.

Exploring the metabolic alterations in cervical cancer induced by HPV oncoproteins: From mechanisms to therapeutic targets

The role of human Papillomavirus (HPV) in metabolic reprogramming is implicated in the development and progression of cervical cancer. During carcinogenesis, cancer cells modify various metabolic pathways to generate energy and sustain their growth and development. Cervical cancer, one of the most prevalent malignancies affecting women globally, involves metabolic alterations such as increased glycolysis, elevated lactate production, and lipid accumulation. The oncoproteins, primarily E6 and E7, which are encoded by high-risk HPVs, facilitate the accumulation of several cancer markers, promoting not only the growth and development of cancer but also metastasis, immune evasion, and therapy resistance. HPV oncoproteins interact with cellular MYC (c-MYC), retinoblastoma protein (pRB), p53, and hypoxia-inducible factor 1α (HIF-1α), leading to the induction of metabolic reprogramming and favour the Warburg effect. Metabolic reprogramming enables HPV to persist for an extended period and accelerates the progression of cervical cancer. This review summarizes the role of HPV oncoproteins in metabolic reprogramming and their contributions to the development and progression of cervical cancer. Additionally, this review provides insights into how metabolic reprogramming opens avenues for novel therapeutic strategies, including the discovery of new and repurposed drugs that could be applied to treat cervical cancer.

Novel biomarker in hepatocellular carcinoma: Stearoyl-CoA desaturase 1

BACKGROUND

In recent years, more and more studies have shown that reprogramming lipid metabolism plays an important role in the occurrence and development of hepatocellular carcinoma (HCC). However, there is a lack of systematic exploration of fatty acid (FA) profiles in HCC.

AIMS

This study aims to systematically investigate the FA profile in HCC and assess the diagnostic potential of stearoyl-CoA desaturase 1 (SCD1) as a biomarker for HCC.

METHODS

The FA profile in HCC tissues was detected by gas chromatography mass spectrometry. Abnormal FA metabolism was analyzed by qRT-PCR, Western blot. Immunohistochemical and bioinformatics analysis were used to analyze SCD1 expression and function. Receiver operating characteristic curves were used to analyze the diagnostic efficacy of SCD1, and the relationship between SCD1 and immune infiltration in HCC was analyzed by the biological information method.

RESULTS

FAs were found to accumulate in the HCC samples, and abnormal FA metabolism in HCC related to the upregulation of the expression and activity of SCD1. The combination of SCD1 and alpha-fetoprotein produced a greater area under the receiver operating characteristic curve (0.925, P < 0.001) than SCD1 or alpha-fetoprotein alone. It also showed better sensitivity (77.5 %). Besides, high SCD1 expression was found to be related to immune infiltration in HCC.

CONCLUSION

SCD1 can serve as a reliable biomarker for HCC diagnosis.

Porphyromonas gingivalis potentiates stem-like properties of oral squamous cell carcinoma by modulating SCD1-dependent lipid synthesis via NOD1/KLF5 axis

Cancer stem cells (CSCs) are widely acknowledged as primary mediators to the initiation and progression of tumors. The association between microbial infection and cancer stemness has garnered considerable scholarly interest in recent years. Porphyromonas gingivalis (P. gingivalis) is increasingly considered to be closely related to the development of oral squamous cell carcinoma (OSCC). Nevertheless, the role of P. gingivalis in the stemness of OSCC cells remains uncertain. Herein, we showed that P. gingivalis was positively correlated with CSC markers expression in human OSCC specimens, promoted the stemness and tumorigenicity of OSCC cells, and enhanced tumor formation in nude mice. Mechanistically, P. gingivalis increased lipid synthesis in OSCC cells by upregulating the expression of stearoyl-CoA desaturase 1 (SCD1) expression, a key enzyme involved in lipid metabolism, which ultimately resulted in enhanced acquisition of stemness. Moreover, SCD1 suppression attenuated P. gingivalis-induced stemness of OSCC cells, including CSCs markers expression, sphere formation ability, chemoresistance, and tumor growth, in OSCC cells both in vitro and in vivo. Additionally, upregulation of SCD1 in P. gingivalis-infected OSCC cells was associated with the expression of KLF5, and that was modulated by P. gingivalis-activated NOD1 signaling. Taken together, these findings highlight the importance of SCD1-dependent lipid synthesis in P. gingivalis-induced stemness acquisition in OSCC cells, suggest that the NOD1/KLF5 axis may play a key role in regulating SCD1 expression and provide a molecular basis for targeting SCD1 as a new option for attenuating OSCC cells stemness.

Bacteria-derived 3-hydroxydodecanoic acid induces a potent anti-tumor immune response via the GPR84 receptor

Despite advances in cancer treatment, the development of effective therapies remains an urgent unmet need. Here, we investigate the potential of bacteria-derived metabolites as a therapeutic alternative for the treatment of cancer. We detect 3-hydroxydodecanedioic acid in the serum of tumor-bearing mice treated with serum from mice previously supplemented with a mix of Clostridiales bacteria. Further, 3-hydroxydodecanoic acid, an intermediate derivative between dodecanoic and 3-hydroxydodecanedioic acids, exhibits a strong anti-tumor response via GPR84 receptor signaling and enhances CD8+ T cell infiltration and cytotoxicity within tumor tissue in multiple cancer models. Metabolomics analysis of colorectal cancer patient serum reveals an inverse correlation between the abundance of these metabolites and advanced disease stages. Our findings provide a strong rationale for 3-hydroxydodecanoic acid and the GPR84 receptor to be considered as promising therapeutic targets for cancer treatment.

Identification of AK4 and RHOC as potential oncogenes addicted by adult T cell leukemia

Adult T cell leukemia (ATL) is a highly aggressive T cell malignancy characterized by human T cell leukemia virus type 1 (HTLV-1) infection. ATL has a very poor prognosis and lacks satisfactory treatments; therefore, it is critical to identify potential targets in ATL cells in order to develop effective targeted therapeutics. Here, we report the identification of two oncogenes, AK4 and RHOC, as target genes of miR-455-3p, a tumor-suppressive microRNA in ATL patients. Importantly, AK4 and RHOC are highly expressed in ATL and exhibit oncogenic potentials in vitro and in vivo. Interestingly, transcriptome and metabolome analyses reveal a functional overlap of AK4 and RHOC, including activating oncogenic pathways such as Myc targets and deregulating lipid metabolism such as enhancing the production of sphingomyelin, a tumor-promoting lipid. In particular, compared to other types of T cell malignancy such as T cell acute lymphoblastic leukemia (T-ALL) and cutaneous T cell lymphoma (CTCL), ATL is sensitive to sphingomyelin inhibition and AK4 or RHOC depletion. Altogether, we report a distinct dependency of ATL on AK4 and RHOC oncogenes and an oncometabolite sphingomyelin, which together represent targetable vulnerabilities of ATL that could be exploited for developing effective therapeutics.

Fatty acid synthase (FASN) inhibition cooperates with BH3 mimetic drugs to overcome resistance to mitochondrial apoptosis in pancreatic cancer

Resistance to mitochondrial apoptosis is a major driver of chemoresistance in pancreatic ductal adenocarcinoma (PDAC). However, pharmacological manipulation of the mitochondrial apoptosis threshold in PDAC cells remains an unmet therapeutic goal. We hypothesized that fatty acid synthase inhibitors (FASNis), a family of targeted metabolic therapeutics recently entering the clinic, could lower the apoptotic threshold in chemoresistant PDAC cells and be synergistic with BH3 mimetics that neutralize anti-apoptotic proteins. Computational studies with TVB-3166 and TVB-3664, two analogues of the clinical-grade FASNi TVB-2640 (denifanstat), confirmed their uncompetitive behavior towards NADPH when bound to the FASN ketoacyl reductase domain. The extent of NADPH accumulation, a consequence of FASN inhibition, paralleled the sensitivity of PDAC cells to the apoptotic effects of TVB FASNis in conventional PDAC cell lines that naturally express varying levels of FASN. FASN inhibition dramatically increased the sensitivity of "FASN-high" expressing PDAC cells to the BCL2/BCL-XL/BCL-W inhibitor ABT-263/navitoclax and the BCL2-selective inhibitor ABT-199/venetoclax, both in vitro and in in vivo xenografted tumors. The ability of TVB FASNis to shift the balance of pro- and anti-apoptotic proteins and thereby push PDAC cells closer to the apoptotic threshold was also observed in cell lines developed from patient-derived xenografts (PDXs) representative of the classical (pancreatic) transcriptomic subtype of PDAC. Experiments in PDAC PDXs in vivo confirmed the synergistic antitumor activity of TVB-3664 with navitoclax and venetoclax, independent of the nature of the replication stress signature of patient-derived PDAC cells. The discovery that targeted inhibition of FASN is a metabolic perturbation that sensitizes PDAC cells to BH3 mimetics warrants further investigation to overcome resistance to mitochondrial apoptosis in PDAC patients.

SREBF1-based metabolic reprogramming in prostate cancer promotes tumor ferroptosis resistance

Metabolic reprogramming in prostate cancer has been widely recognized as a promoter of tumor progression and treatment resistance. This study investigated its association with ferroptosis resistance in prostate cancer and explored its therapeutic potential. In this study, we identified differences in the epithelial characteristics between normal prostate tissue and tissues of various types of prostate cancer using single-cell sequencing. Through transcription factor regulatory network analysis, we focused on the candidate transcription factor, SREBF1. We identified the differences in SREBF1 transcriptional activity and its association with ferroptosis, and further verified this association using hdWGCNA. We constructed a risk score based on SREBF1 target genes associated with the biochemical recurrence of prostate cancer by combining bulk RNA analysis. Finally, we verified the effects of the SREBPs inhibitor Betulin on the treatment of prostate cancer and its chemosensitization effect. We observed characteristic differences in fatty acid and cholesterol metabolism between normal prostate tissue and prostate cancer tissue, identifying high transcriptional activity of SREBF1 in prostate cancer tissue. This indicates that SREBF1 is crucial for the metabolic reprogramming of prostate cancer, and that its mediated metabolic changes promoted ferroptosis resistance in prostate cancer in multiple ways. SREBF1 target genes are associated with biochemical recurrence of prostate cancer. Finally, our experiments verified that SREBF1 inhibitors can significantly promote an increase in ROS, the decrease in GSH, and the decrease in mitochondrial membrane potential in prostate cancer cells and confirmed their chemosensitization effect in vivo. Our findings highlighted a close association between SREBF1 and ferroptosis resistance in prostate cancer. SREBF1 significantly influences metabolic reprogramming in prostate cancer cells, leading to ferroptosis resistance. Importantly, our results demonstrated that SREBF1 inhibitors can significantly enhance the therapeutic effect and chemosensitization of prostate cancer, suggesting a promising therapeutic potential for the treatment of prostate cancer.

Dynamic Lipidome Reorganization in Response to Heat Shock Stress

The heat shock response (HSR) is a conserved cellular mechanism critical for adaptation to environmental and physiological stressors, with broad implications for cell survival, immune responses, and cancer biology. While the HSR has been extensively studied at the proteomic and transcriptomic levels, the role of lipid metabolism and membrane reorganization remains underexplored. Here, we integrate mass spectrometry-based lipidomics with RNA sequencing to characterize global lipidomic and transcriptomic changes in HeLa cells exposed to three conditions: control, heat shock (HS), and HS with eight hours of recovery. Heat shock-induced extensive lipid remodeling, including significant increases in fatty acids, glycerophospholipids, and sphingolipids, with partial normalization during recovery. Transcriptomic analysis identified over 2,700 upregulated and 2,300 downregulated genes under heat shock, with GO enrichment suggesting potential transcriptional contributions to lipid metabolism. However, transcriptional changes alone did not fully explain the observed lipidomic shifts, suggesting additional layers of regulation. Joint pathway analysis revealed enrichment in glycerophospholipid and sphingolipid metabolism, while network analysis identified lipid transport regulators (STAB2, APOB), stress-linked metabolic nodes (KNG1), and persistent sphingolipid enrichment during recovery. These findings provide a comprehensive framework for understanding lipid-mediated mechanisms of the HSR and highlight the importance of multi-omics integration in stress adaptation and disease biology.

Multilevel plasticity and altered glycosylation drive aggressiveness in hypoxic and glucose-deprived bladder cancer cells

Bladder tumors with aggressive characteristics often present microenvironmental niches marked by low oxygen levels (hypoxia) and limited glucose supply due to inadequate vascularization. The molecular mechanisms facilitating cellular adaptation to these stimuli remain largely elusive. Employing a multi-omics approach, we discovered that hypoxic and glucose-deprived cancer cells enter a quiescent state supported by mitophagy, fatty acid β-oxidation, and amino acid catabolism, concurrently enhancing their invasive capabilities. Reoxygenation and glucose restoration efficiently reversed cell quiescence without affecting cellular viability, highlighting significant molecular plasticity in adapting to microenvironmental challenges. Furthermore, cancer cells exhibited substantial perturbation of protein O-glycosylation, leading to simplified glycophenotypes with shorter glycosidic chains. Exploiting glycoengineered cell models, we established that immature glycosylation contributes to reduced cell proliferation and increased invasion. Our findings collectively indicate that hypoxia and glucose deprivation trigger cancer aggressiveness, reflecting an adaptive escape mechanism underpinned by altered metabolism and protein glycosylation, providing grounds for clinical intervention.

Purification of Native Acetyl CoA Carboxylase From Mammalian Cells

Fatty acid (FA) biosynthesis is a crucial cellular process that converts nutrients into metabolic intermediates necessary for membrane biosynthesis, energy storage, and the production of signaling molecules. Acetyl-CoA carboxylase (ACACA) plays a pivotal catalytic role in both fatty acid synthesis and oxidation. This cytosolic enzyme catalyzes the carboxylation of acetyl-CoA to malonyl-CoA, which represents the first and rate-limiting step in de novo fatty acid biosynthesis. In this study, we developed a rapid and effective purification scheme for separating human ACACA without any exogenous affinity tags, providing researchers with a novel method to obtain human ACACA in its native form. Key features • Detailed protocol for the purification of native ACACA. • ACACA is biotinylated in mammalian cells. Graphical overview.

Targeting the PI3K/AKT/mTOR pathway in lung cancer: mechanisms and therapeutic targeting

Owing to its high mortality rate, lung cancer (LC) remains the most common cancer worldwide, with the highest malignancy diagnosis rate. The phosphatidylinositol-3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling (PAM) pathway is a critical intracellular pathway involved in various cellular functions and regulates numerous cellular processes, including growth, survival, proliferation, metabolism, apoptosis, invasion, and angiogenesis. This review aims to highlight preclinical and clinical studies focusing on the PAM signaling pathway in LC and underscore the potential of natural products targeting it. Additionally, this review synthesizes the existing literature and discusses combination therapy and future directions for LC treatment while acknowledging the ongoing challenges in the field. Continuous development of novel therapeutic agents, technologies, and precision medicine offers an increasingly optimistic outlook for the treatment of LC.

The Adaptation of MCF-7 Breast Cancer Spheroids to the Chemotherapeutic Doxorubicin: The Dynamic Role of Phase I Drug Metabolizing Enzymes

Background/Objectives: Drug resistance (DR) is a major challenge in cancer therapy, contributing to approximately 90% of cancer-related deaths. While alterations in drug metabolism are known to be key drivers of DR, their role-particularly in the early stages of acquired chemoresistance-remains understudied. Phase I drug-metabolizing enzymes (DMEs), especially cytochrome P450s (CYPs), significantly influence the metabolic fate of chemotherapeutic agents, directly affecting drug response. This study aimed to investigate the role of Phase I DMEs in the early metabolic adaptation of breast cancer (BC) MCF-7 cells to doxorubicin (DOX). Methods: Four types of spheroids were generated from MCF-7 cells that were either DOX-sensitive (DOXS) or adapted to low concentrations of the chemotherapeutic agent (DOXA 25, 35, and 45 nM). The expression levels of 92 Phase I DMEs and the activities of specific CYP isoforms were assessed in both DOXS and DOXA spheroids. Results: A total of twenty-four DMEs, including fifteen CYPs and nine oxidoreductases, were found to be differentially expressed in DOXA spheroids. Pathway analysis identified key roles for the differentially expressed DMEs in physiologically relevant pathways, including the metabolism of drugs, arachidonic acid, retinoic acid, and vitamin D. Conclusions: The deconvolution of these pathways highlights a highly dynamic process driving early-stage DOX resistance, with a prominent role of CYP3A-dependent metabolism in DOX adaptation. Our findings provide valuable insights into the underlying molecular mechanisms driving the early adaptation of MCF-7 cells to DOX exposure.

Analysis of fatty acid metabolism in prostate cancer and discovery of a new programmed cell death-associated luminal cell subpopulation

INTRODUCTION

This study focuses on the role of fatty acid metabolism in prostate cancer, particularly in oncogenic luminal cells associated with programmed cell death under the influence of metabolic reprogramming.

MATERIALS AND METHODS

Prostate cancer was analyzed using single-cell transcriptomics and spatial transcriptomics data. Fatty acid metabolism levels in the tumor microenvironment were quantified by multiple gene set scoring methods, and data were processed using NMF and deconvolution methods to identify different cell populations and their interactions in the tumor microenvironment.

RESULTS

Luminal cells have significantly increased activity in fatty acid metabolism, which is associated with the aggressiveness and metastatic capability of tumors. Luminal cell subpopulations have been found to play a key role in the development of prostate cancer, especially their close association with programmed cell death.

CONCLUSION

This study deepens the understanding of the role of fatty acid metabolism in prostate cancer, identifies fatty acid metabolism-related luminal cell subtypes, and proposes new therapeutic targets, providing new insights into prostate cancer treatment.

Bisphenol A and DDT disrupt adipocyte function in the mammary gland: implications for breast cancer risk and progression

As breast cancer incidence continues to rise worldwide, there is a pressing need to understand the environmental factors that contribute to its development. Obesogens, including Bisphenol A (BPA) and Dichlorodiphenyltrichloroethane (DDT), are highly prevalent in the environment, and have been associated with obesity and metabolic dysregulation. BPA and DDT, known to disrupt hormone signaling in breast epithelial cells, also promote adipogenesis, lipogenesis, and adipokine secretion in adipose tissue, directly contributing to the pathogenesis of obesity. While the adipose-rich mammary gland may be particularly vulnerable to environmental obesogens, there is a scarcity of research investigating obesogen-mediated changes in adipocytes that drive oncogenic transformation of breast epithelial cells. Here, we review the preclinical and clinical evidence linking BPA and DDT to impaired mammary gland development and breast cancer risk. We discuss how the obesogen-driven mechanisms that contribute to obesity, including changes in adipogenesis, lipogenesis, and adipokine secretion, could provide a pro-inflammatory, nutrient-rich environment that promotes activation of oncogenic pathways in breast epithelial cells. Understanding the role of obesogens in breast cancer risk and progression is essential for informing public health guidelines aimed at minimizing obesogen exposure, to ultimately reduce breast cancer incidence and improve outcomes for women.

Interactions between the metabolic reprogramming of liver cancer and tumor microenvironment

Metabolic reprogramming is one of the major biological features of malignant tumors, playing a crucial role in the initiation and progression of cancer. The tumor microenvironment consists of various non-cancer cells, such as hepatic stellate cells, cancer-associated fibroblasts (CAFs), immune cells, as well as extracellular matrix and soluble substances. In liver cancer, metabolic reprogramming not only affects its own growth and survival but also interacts with other non-cancer cells by influencing the expression and release of metabolites and cytokines (such as lactate, PGE2, arginine). This interaction leads to acidification of the microenvironment and restricts the uptake of nutrients by other non-cancer cells, resulting in metabolic competition and symbiosis. At the same time, metabolic reprogramming in neighboring cells during proliferation and differentiation processes also impacts tumor immunity. This article provides a comprehensive overview of the metabolic crosstalk between liver cancer cells and their tumor microenvironment, deepening our understanding of relevant findings and pathways. This contributes to further understanding the regulation of cancer development and immune evasion mechanisms while providing assistance in advancing personalized therapies targeting metabolic pathways for anti-cancer treatment.

Hyperlipidemia drives tumor growth in a mouse model of obesity-accelerated breast cancer growth

Obesity is an established risk factor for breast cancer (BC), yet the specific mechanisms driving this association remain unclear. Dysregulated lipid metabolism has emerged as a key factor in cancer cell biology. While obesity is often accompanied by hyperlipidemia, the isolated impact of elevated lipid levels on BC growth has not been experimentally tested. Using the E0771 orthotopic model of obesity-accelerated BC growth in immune-competent mice, we investigated the direct role of systemic lipids in tumor growth. Combining dietary and genetic mouse models, we show that elevated circulating lipids are sufficient to accelerate BC tumor growth even in the absence of obesity or alterations in blood glucose and/or insulin levels. Pharmacological lowering of systemic lipid levels attenuates BC growth in obese mice, suggesting a direct role for lipids in fueling tumor expansion. Notably, we also show that weight loss alone, without a corresponding reduction in lipid levels such as that induced by a ketogenic diet, fails to protect against BC, highlighting the necessity of targeting lipid metabolism in obesity-associated BC. Our findings establish hyperlipidemia as a critical driver of BC progression and suggest that lipid-lowering interventions may be a promising strategy to mitigate BC risk in obese individuals.

Spontaneous Formation of Micelles and Vesicles in Langmuir Monolayers of Heneicosanoic Acid

In Langmuir monolayers of heneicosanoic acid (C21H42O2), at low temperature, in the L'2 and CS crystalline phases, a blinking phenomenon occurs at the same positions of the monolayer, which is called localized oscillations (LO), but its origin has not been clarified. In this study, the LO phenomenon was correlated with the ejection of material out of the monolayer which was analyzed to understand this phenomenon. The techniques used for this purpose were pressure-area isotherms on a Langmuir balance and simultaneous observation of the monolayer by Brewster angle microscopy (BAM). Subsequently, using the Langmuir-Blodgett technique, the monolayers were transferred using freshly cleaved mica substrates for analysis by atomic force microscopy (AFM). Our results showed that the origin of the LO is related to a spontaneous formation of micelles and vesicles, since in AFM images these structures were observed in a size range from 4 to 16 nm. In addition, the AFM images showed that the difference between the heights of the L'2 and CS crystalline phases ranges from 13 to 15 Å.

ATF3-SLC7A7 Axis Regulates mTORC1 Signaling to Suppress Lipogenesis and Tumorigenesis in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) poses a substantial global health burden, with poor prognosis and high mortality rates. Dysregulated lipid metabolism has emerged as a critical driver of HCC progression. While mTORC1 signaling is known to promote lipid synthesis in HCC, the regulatory mechanisms governing mTORC1 remain largely unclear. Here, we demonstrate that mTORC1 inhibition significantly reduces lipogenesis in HCC and uncover a regulatory axis involving the transcription factor ATF3 and the leucine-arginine transporter SLC7A7. Transcriptomic analysis of HCC patients reveals an inverse correlation between ATF3 expression and lipid synthesis, a finding corroborated by experimental validation. Mechanistically, ATF3 suppresses mTORC1 signaling, thereby inhibiting lipid biosynthesis, with SLC7A7 identified as a key intermediary in this process. Specifically, ATF3 binds to the enhancer region of SLC7A7, driving its transcriptional activation and subsequently restraining mTORC1 activity. Functional assays in ATF3-overexpressing and -knockdown HCC cell lines further confirm ATF3's role as a tumor suppressor. Our study identifies a novel ATF3-SLC7A7-mTORC1 regulatory axis that attenuates lipogenesis and tumorigenesis in HCC, establishing a critical link between lipid metabolism and hepatocarcinogenesis. These findings offer new insights into potential therapeutic targets for the treatment of HCC.

The role of lipids in promoting hair growth through HIF-1 signaling pathway

Understanding the underlying mechanisms regulating hair regeneration is crucial, especially given the increasing demand for effective drugs to treat hair loss, which remain not fully elucidated. In the present study, we found that lipid metabolism was attenuated in the scalp tissues of patients with androgenetic alopecia. Lipid supplementation in the culture medium upregulated hair growth-related genes and promoted the proliferation of human dermal papilla cells (DPCs). By using RNA-sequencing analysis and HIF-1α knockdown in DPCs, we found that HIF-1α is a potential candidate that governs lipid-reinforced upregulation of trichogenic genes. Finally, we assessed the hair growth-promoting effects of lipids using in vitro hair follicle organoids and found that lipids accelerated the elongation of hair-shaft-like structures. Our results highlight the importance of lipids in promoting hair growth through HIF-1 signaling, suggesting that this may be a promising target for the treatment of hair loss.

CD36 inhibition enhances the anti-proliferative effects of PI3K inhibitors in PTEN-loss anti-HER2 resistant breast cancer cells

BACKGROUND

HER2-positive patients comprise approximately 20% of breast cancer cases, with HER2-targeted therapy significantly improving progression-free and overall survival. However, subsequent reprogramed tumor progression due to PI3K signaling pathway activation by PIK3CA mutations and/or PTEN-loss cause anti-HER2 resistance. Previously, alpha isoform-specific PI3K inhibitors were shown to potentiate HER2-targeted therapy in breast cancer cells carrying PI3K pathway alterations with less potent effects on PTEN-loss than PIK3CA-mutant cells. Therefore, seeking for alternative combination therapy needs urgent attentions in PTEN-loss anti-HER2 resistant breast cancer.

METHODS

Since remodeling of fatty acid (FA) metabolism might contribute to HER-positive breast cancer and is triggered by the PI3K signal pathway, herein, we examined the effects of the inhibition of endogenous FA conversion, SCD-1 or exogenous FA transport, CD36, in combination with PI3K inhibitors (alpelisib and inavolisib) in anti-HER2 resistant PTEN-loss breast cancer cells.

RESULTS

The activated HER2/PI3K/AKT/mTOR signaling pathway positively correlated with SCD-1 and CD36 expression in PTEN-loss breast cancer cells. PI3K inhibition downregulated SCD-1, and accordingly, the addition of the SCD-1 inhibitor did not augment the antiproliferative effects of the PI3K inhibitors. CD36 was upregulated by blocking the PI3K signal pathway or limited serum supplementation, indicating that suppressing CD36 may decrease the excess transport of exogenous FA. The addition of the CD36 inhibitor synergistically enhanced the anti-proliferative effects of the PI3K inhibitors.

CONCLUSION

Simultaneously targeting the PI3K signaling pathway and exogenous FA uptake could potentially be advantageous for patients with PTEN-loss anti-HER2 resistant breast cancer.

Anti-Tumor Strategies Targeting Nutritional Deprivation: Challenges and Opportunities

Higher and richer nutrient requirements are typical features that distinguish tumor cells from AU: cells, ensuring adequate substrates and energy sources for tumor cell proliferation and migration. Therefore, nutrient deprivation strategies based on targeted technologies can induce impaired cell viability in tumor cells, which are more sensitive than normal cells. In this review, nutrients that are required by tumor cells and related metabolic pathways are introduced, and anti-tumor strategies developed to target nutrient deprivation are described. In addition to tumor cells, the nutritional and metabolic characteristics of other cells in the tumor microenvironment (including macrophages, neutrophils, natural killer cells, T cells, and cancer-associated fibroblasts) and related new anti-tumor strategies are also summarized. In conclusion, recent advances in anti-tumor strategies targeting nutrient blockade are reviewed, and the challenges and prospects of these anti-tumor strategies are discussed, which are of theoretical significance for optimizing the clinical application of tumor nutrition deprivation strategies.

Lipid metabolism in ferroptosis: Unraveling key mechanisms and therapeutic potential in cancer

Ferroptosis, a form of iron-dependent cell death driven by lipid peroxidation, has emerged as a critical area of research for cancer therapy. This review delves into the intricate relationship between lipid metabolism and ferroptosis, emphasizing the impact of lipidome remodeling on cancer cell susceptibility. We explore key mechanisms, such as the role of polyunsaturated fatty acids and phosphatidylethanolamines in ferroptosis induction, alongside the protective effects of monounsaturated fatty acids and their regulatory enzymes. We also discuss the influence of dietary fatty acids, lipid droplets, and the epithelial-to-mesenchymal transition on ferroptosis and cancer resistance. By integrating current findings on enzymatic regulation, lipid peroxidation pathways, and metabolic adaptations, this review highlights potential therapeutic strategies targeting lipid metabolism to enhance ferroptosis-based cancer treatments. Our goal is to provide a comprehensive overview that underscores the significance of lipid metabolic pathways in ferroptosis and their implications for developing novel cancer therapies.

The many faces of DGAT1

Acyl-CoA:diacylglycerol acyltransferase 1 (DGAT1) is a multifaced enzyme with a wide spectrum of substrates, from lipids through waxes to retinoids, which makes it an interesting therapeutic target. DGAT1 inhibitors are currently at various stages of preclinical and clinical trials, mostly related to metabolic diseases. Interestingly, in recent years, a growing amount of research has shown the influence of DGAT1 on immune cell metabolism and functions, highlighting its important role during infections and tumorigenesis. In this review, we aim to elucidate the potential immunomodulatory effect of DGAT1 in physiological and pathological conditions.

Copy number amplification of FLAD1 promotes the progression of triple-negative breast cancer through lipid metabolism

Triple-negative breast cancer (TNBC) is known for frequent copy number alterations (CNAs) and metabolic reprogramming. However, the mechanism by which CNAs of metabolic genes drive distinct metabolic reprogramming and affect disease progression remains unclear. Through an integrated analysis of our TNBC multiomic dataset (n = 465) and subsequent experimental validation, we identify copy number amplification of the metabolic gene flavin-adenine dinucleotide synthetase 1 (FLAD1) as a crucial genetic event that drives TNBC progression. Mechanistically, FLAD1, but not its enzymatically inactive mutant, upregulates the enzymatic activity of FAD-dependent lysine-specific demethylase 1 (LSD1). LSD1 subsequently promotes the expression of sterol regulatory element-binding protein 1 (SREBP1) by demethylating dimethyl histone H3 lysine 9 (H3K9me2). The upregulation of SREBP1 enhances the expression of lipid biosynthesis genes, ultimately facilitating the progression of TNBC. Clinically, pharmacological inhibition of the FLAD1/LSD1/SREBP1 axis effectively suppresses FLAD1-induced tumor progression. Moreover, LSD1 inhibitor enhances the therapeutic effect of doxorubicin and sacituzumab govitecan (SG). In conclusion, our findings reveal the CNA-derived oncogenic signalling axis of FLAD1/LSD1/SREBP1 and present a promising treatment strategy for TNBC.

The Role of the Swollen State in Cell Proliferation

Cell swelling is known to be involved in various stages of the growth of plant cells and microorganisms but in mammalian cells how crucial a swollen state is for determining the fate of the cellular proliferation remains unclear. Recent evidence has increased our understanding of how the loss of the cell surface interactions with the extracellular matrix at early mitosis decreases the membrane tension triggering curvature changes in the plasma membrane and the activation of the sodium/hydrogen (Na +/H +) exchanger (NHE1) that drives osmotic swelling. Such a swollen state is temporary, but it is critical to alter essential membrane biophysical parameters that are required to activate Ca2 + channels and modulate the opening of K + channels involved in setting the membrane potential. A decreased membrane potential across the mitotic cell membrane enhances the clustering of Ras proteins involved in the Ca2 + and cytoskeleton-driven events that lead to cell rounding. Changes in the external mechanical and osmotic forces also have an impact on the lipid composition of the plasma membrane during mitosis.

Alternative polyadenylation in cancer: Molecular mechanisms and clinical application

Alternative polyadenylation (APA) serves as a crucial mechanism for the posttranscriptional regulation of gene expression and influences gene expression by generating diverse mRNA isoforms. This process is regulated by a diverse array of RNA-binding proteins (RBPs), which selectively bind to specific sequences or structures within the pre-mRNA molecule. Dysregulation of APA and its associated RBPs has been implicated in numerous diseases, including cardiovascular diseases, nervous system disease, and cancer. For instance, aberrant APA events have been observed in several types of tumors, contributing to tumor heterogeneity and affecting key cellular pathways involved in cell proliferation, invasion, metastasis, and response to therapy. This review critically evaluates the current understanding of APA mechanisms and the multifaceted roles of RBPs in orchestrating this intricate process. We highlight recent advancements in high-throughput sequencing and bioinformatics tools that have enhanced our ability to study APA on a genome-wide scale. Moreover, we explored the pathological consequences of APA dysregulation, emphasizing its role in oncogenesis. By elucidating the intricate relationships between APA and RBPs, this review aims to underscore the potential of targeting the APA machinery and RBPs for therapeutic intervention. Understanding these molecular processes holds promise for developing novel diagnostic markers and treatment strategies for a range of human cancers.

Inhibiting de novo lipogenesis identifies a therapeutic vulnerability in therapy-resistant colorectal cancer

A significant clinical challenge in patients with colorectal cancer (CRC), which adversely impacts patient survival, is the development of therapy resistance leading to a relapse. Therapy resistance and relapse in CRC is associated with the formation of lipid droplets (LD) by stimulating de novo lipogenesis (DNL). However, the molecular mechanisms underlying the increase in DNL and the susceptibility to DNL-targeted therapies remain unclear. Our study demonstrates that colorectal drug-tolerant persister cells (DTPs) over-express Lipin1 (LPIN1), which facilitates the sequestration of free fatty acids into LDs. The increased expression is mediated by the ETS1-PTPN1-c-Src-CEBPβ pathway. Blocking the conversion of free fatty acids into LDs by treatment with statins or inhibiting lipin1 expression disrupts lipid homeostasis, leading to lipotoxicity and ferroptotic cell death in both DTPs and patient-derived organoids (PDOs) in vitro. Ferroptosis inhibitors or N-acetylcysteine (NAC) can alleviate lipid ROS and cell death resulting from lipin1 inhibition. This strategy also significantly reduces tumor growth in CRC DTP mouse xenograft and patient-derived xenograft (PDX) models. Our findings highlight a new metabolic vulnerability in CRC DTPs, PDO, and PDX models and provide a framework for the rational repurposing of statins. Targeting the phosphatidic acid (PA) to diacylglycerol (DAG) conversion to prevent lipid droplet formation could be an effective therapeutic approach for therapy-resistant CRC.

SLC25A1 promotes lymph node metastasis of esophageal squamous cell carcinoma by regulating lipid metabolism

Solute carrier family 25 member 1 (SLC25A1) affects lipid metabolism and energy regulation in multiple types of tumor cell, affecting their proliferation and survival. To the best of our knowledge, however, the impact of SLC25A1 on the proliferation and survival of esophageal squamous cell carcinoma (ESCC) cells has yet to be explored. Here, SLC25A1 expression was detected in ESCC tissues and cell lines. SLC25A1 was silenced or blocked by lentivirus transfection or 2‑[(4‑chloro‑3‑nitrophenyl)sulfonylamino]benzoic acid in ESCC cells. To evaluate the impact of SLC25A1 on in vivo and in vitro proliferation, invasion and migration of ESCC cells, Cell Counting‑Kit, wound healing, colony formation, Transwell, EdU, flow cytometry, tumor xenograft in nude mice, lipid metabolism and energy metabolism detection assays were performed. Reverse transcription‑quantitative PCR and western blot analysis were performed to determine expression of downstream molecules and pathway proteins following the silencing and blockade of SLC25A1. SLC25A1 was significantly overexpressed in ESCC tissue and cell lines. The targeted silencing of SLC25A1 or inhibition of its protein led to a significant decrease in proliferative, invasive and migratory capabilities of ESCC cells, accompanied by increased apoptosis. Additionally, silencing of the SLC25A1 gene significantly inhibited xenograft tumor growth in vivo. The present results indicate that knockdown or blockade of SLC25A1 can significantly impede the malignant biological behavior of ESCC.

The combination of gemcitabine and albumin-bound paclitaxel effectively inhibits de novo lipogenesis in pancreatic cancer cells by targeting the AMPK/SREBP1 pathway

Abnormal de novo lipogenesis and reprogramming of lipid metabolism have been associated with the development and progression of various cancers, including pancreatic cancer. Gemcitabine (GEM) combined with albumin-bound paclitaxel (nab-PTX) is the first-line chemotherapeutic agent for pancreatic cancer. There have been many studies on the molecular mechanisms of gemcitabine and paclitaxel in cancer treatment. Still, the effects of the combination on lipid metabolism and the specific mechanisms have not been explored. This study found that GEM combined with nab-PTX inhibited pancreatic cancer cell proliferation and de novo lipogenesis. The exact mechanism is that GEM combined with nab-PTX induces adenosine triphosphate (ATP) depletion and activates AMP-activated protein kinase (AMPK) in pancreatic cancer cells, which in turn inhibits sterol regulatory element-binding protein 1 (SREBP1) expression and nuclear translocation, and ultimately inhibits de novo lipogenesis in pancreatic cancer cells. In addition, we found that the novel lipid-lowering drug bempedoic acid (ETC-1002) significantly enhanced the inhibitory effect of GEM combined with nab-PTX on de novo lipogenesis in pancreatic cancer cells. These findings establish a link between GEM combined with nab-PTX and lipid metabolism, and the discovery of the novel lipid-lowering drug ETC-1002 provides a potential therapeutic strategy for pancreatic cancer.

Interactions between ferroptosis and tumour development mechanisms: Implications for gynaecological cancer therapy (Review)

Ferroptosis is a form of programmed cell death that is distinct from apoptosis. The mechanism involves redox‑active metallic iron and is characterized by an abnormal increase in iron‑dependent lipid reactive oxygen species, which results in high levels of membrane lipid peroxides. The relationship between ferroptosis and gynaecological tumours is complex. Ferroptosis can regulate tumour proliferation, metastasis and chemotherapy resistance, and targeting ferroptosis is a promising antitumour approach. Ferroptosis interacts with mechanisms related to tumorigenesis and development, such as macrophage polarization, the neutrophil trap network, mitochondrial autophagy and cuproptosis. The present review examines recent information on the interaction between the molecular mechanism of ferroptosis and other tumour‑related mechanisms, as well as the involvement of ferroptosis in gynaecological tumours, to identify implications for gynaecological cancer therapy.

Oxidative phosphorylation-related genes for prognosis and tumor microenvironment in breast cancer

Background

Oxidative phosphorylation (OXPHOS) is a major energy resource occurring in mitochondria. Targeting OXPHOS-related genes has emerged as potential targets for cancer therapy. This study aimed to explore the significance of OXPHOS-related genes in breast cancer (BRCA).

Methods

Differentially expressed genes (DEGs) related to OXPHOS in BRCA were identified using packages of Limma and VennDiagram using the data from public databases. A prognostic model based on differentially expressed OXPHOS-related genes was constructed using least absolute shrinkage and selection operator Cox regression analyses and then evaluated through Kaplan-Meier and receiver operator characteristic (ROC) curves. Additionally, gene set variate analysis (GSVA) and gene set enrichment analysis (GSEA) were performed to explore the potential pathways involved in BRCA. Furthermore, the tumor microenvironment (TME) difference between low- and high-risk BRCA groups was investigated. The prognostic significance of hub genes was then examined. We conducted a protein-protein interaction (PPI) network to uncover the potential gene interactions and identify key genes, whose expressions were validated in cells.

Results

Our analyses revealed 234 differentially expressed OXPHOS-related genes, from which a nine-gene (ATP5PF, FOXP3, IGF2, IREB2, MIEF2, NOTCH1, PDE12, SHC1, and UCP3) prognostic model was constructed. Patients in the high-risk group exhibited poorer survival outcomes and a suppressed immune microenvironment compared to the low-risk group. Additionally, except for IGF2, abnormal expression levels of hub genes were significantly associated with poor prognosis of BRCA patients. GSVA and GSEA highlighted the involvement of TME-related pathways, such as transforming growth factor beta (TGF-β) and mechanistic target of rapamycin (mTOR) signaling pathways. PPI network identified 4 common genes that interacted with all hub genes. The in vitro experiment on the key genes showed a consistent result with the bioinformatics finding.

Conclusions

Our study provides insights into the prognostic biomarkers and molecular mechanisms in BRCA, offering potential therapeutic avenues and guiding personalized treatment strategies for improved patient outcomes.

DLAT is involved in ovarian cancer progression by modulating lipid metabolism through the JAK2/STAT5A/SREBP1 signaling pathway

BACKGROUND

Ovarian cancer (OC) remains a lethal gynecological malignancy with an alarming mortality rate, primarily attributed to delayed diagnosis and a lack of effective treatment modalities. Accumulated evidence highlights the pivotal role of reprogrammed lipid metabolism in fueling OC progression, however, the intricate underlying molecular mechanisms are not fully elucidated.

METHODS

DLAT expression was assessed in OC tissues and cell lines by immunohistochemistry, western blot and qRT-PCR analysis. The effects of DLAT silencing on changes in lipid metabolism, cell viability, migration, and invasion were examined in SKOV3 and OVCAR3 cells using CCK-8, colony formation, Transwell migration and invasion, and wound-healing assays. GSEA analysis was used to examine the relationship between DLAT and lipid metabolism-related enzymes. Rescue experiments in which SREBP1 was overexpressed in DLAT-silenced cells were carried out. Western blot analysis was performed to determine whether the JAK2/STAT5 signaling pathway was involved in DLAT-regulated SREBP1 expression. Commercially available triglyceride and cholesterol detection kits, as well as Nile Red and Oil red O staining were used to measure lipid metabolism. A subcutaneous tumor model was established in BALB/c mice to confirm the role of the DLAT/SREBP1 axis in OC growth and metastasis in vivo.

RESULTS

DLAT expression was significantly upregulated in OC patient tissue and associated with poor prognosis. Silencing DLAT reduced lipid content and impaired OC cell proliferation, migration, and invasion. DLAT upregulated SREBP1 expression via the JAK2/STAT5 signaling pathway, enhancing expression of fatty acid synthesis enzymes and altering lipid metabolism. SREBP1 was essential for DLAT-dependent OC cell growth and metastasis both in vitro and in vivo.

CONCLUSION

This study uncovers a novel DLAT/JAK2/STAT5/SREBP1 axis that reprograms lipid metabolism in OC, providing insights into metabolic vulnerabilities and potential therapeutic targets for OC treatment.

Szabo B, Kurtan K, Varga Z, Panyi G, Nagy P, Zakany F, Kovacs T. Look Beyond Plasma Membrane Biophysics: Revealing Considerable Variability of the Dipole Potential Between Plasma and Organelle Membranes of Living Cells

Due to the lack of measurement techniques suitable for examining compartments of intact, living cells, membrane biophysics is almost exclusively investigated in the plasma membrane despite the fact that its alterations in intracellular organelles may also contribute to disease pathogenesis. Here, we employ a novel, easy-to-use, confocal microscopy-based approach utilizing F66, an environment-sensitive fluorophore in combination with fluorescent organelle markers and quantitative image analysis to determine the magnitude of the molecular order-related dipole potential in the plasma membrane and intracellular organelles of various tumor and neural cell lines. Our comparative analysis demonstrates considerable intracellular variations of the dipole potential that may be large enough to modulate protein functions, with an inward decreasing gradient on the route of the secretory/endocytic pathway (plasma membrane >> lysosome > Golgi > endoplasmic reticulum), whereas mitochondrial membranes are characterized by a dipole potential slightly larger than that of lysosomes. Our approach is suitable and sensitive enough to quantify membrane biophysical properties selectively in intracellular compartments and their comparative analysis in intact, living cells, and, therefore, to identify the affected organelles and potential therapeutic targets in diseases associated with alterations in membrane lipid composition and thus biophysics such as tumors, metabolic, neurodegenerative, or lysosomal storage disorders.

Exploratory profiling of metabolites in cerebrospinal fluid using a commercially available targeted LC-MS based metabolomics kit to discriminate leptomeningeal metastasis

BACKGROUND

Leptomeningeal metastasis (LM) is a devastating complication of cancer that is difficult to treat. Thus, early diagnosis is essential for LM patients. However, cerebrospinal fluid (CSF) cytology has low sensitivity, and imaging approaches are ineffective. We explored targeted CSF metabolic profiling to discriminate among LM and other conditions affecting the central nervous system (CNS).

METHODS

We quantitatively measured amino acids, biogenic amines, hexoses, acylcarnitines (AC), cholesteryl esters (CE), glycerides, phosphatidylcholines (PC), lysophosphatidylcholines (LPC), sphingomyelins (SM), and ceramides (Cer) in 117 CSF samples from various groups of healthy controls (HC, n = 10), patients with LM (LM, n = 47), parenchymal brain tumor (PBT, n = 45), and inflammatory disease (ID, n = 13) with internal standards using the Absolute IDQ- p400® targeted mass spectrometry kit. Metabolites detected in > 90% of samples or showing a difference in proportional level between groups ≥ 75% were used in logistic regression models when there was no single metabolite with AUC = 1 for the groups of comparison.

RESULTS

PC and SM had higher levels in LM than in PBT or HC, whereas LPC had lower level in PBT than the other groups. Glycerides and Cer levels were higher in PBT and LM than in HC. Long-chain AC level in PBT was lower than in LM or HC. A regression model including Ala, PC (42:7), PC (30:3), PC (37:0), and Tyr achieved complete discrimination (AUC = 1.0) between LM and HC. In comparison of PBT and HC, twenty-six individual metabolites allowed complete discrimination between two groups, and between ID and HC fourty-six individual lipid metabolites allowed complete discrimination. Twenty-one individual metabolites (18 ACs and 3 PCs) allowed complete discrimination between LM and PBT.

CONCLUSIONS

Using a commercial targeted liquid chromatography-mass spectrometry (LC-MS) metabolomics kit, we were able to differentiate LM from HC and PBT. Most of the discriminative metabolites among different diseases were lipid metabolites, for which their CNS distribution and quantification in different cell types are largely unknown, whereas amino acids, biogenic amines, and hexoses failed to show significant differences. Future validation studies with larger, controlled cohorts should be performed, and hopefully, the kit may expand its metabolite coverage for unique cancer cell glucose metabolism.

Metabolic reprogramming in malignant A375 cells treated with a ruthenium (II) complex: insights from GCxGC-TOF/MS metabolomics

INTRODUCTION

Melanoma is an aggressive form of cancer characterised by its high metabolic adaptability that contributes to drug resistance. To this end, ruthenium complexes have emerged as a promising class of compounds in the discovery of cancer drugs due to their unique chemical properties and potential to overcome some of the limitations of conventional chemotherapy. In our previous study, we synthesised, characterised, and performed cytotoxicity tests of a ruthenium (II) complex (GA113) against the malignant A375 melanoma cell line. Our previous findings revealed favourable cytotoxicity, with an IC50 value of 8.76 µM which formed the basis current study.

OBJECTIVE

Elucidate the metabolic mechanism of GA113 in malignant A753 melanoma cells.

METHOD

A two-dimensional gas chromatography time-of-flight mass spectrometry (GCxGC-TOF/MS) cellular metabolomics approach was used, and univariate and multivariate statistical methods were applied to the metabolomics data.

RESULTS

33 metabolites were identified as significant discriminators between GA113-treated and untreated A375 melanoma cells. Changes in 19 of these 33 metabolites were mapped to pantothenate and coenzyme A biosynthesis, citrate cycle, cysteine and methionine metabolism, arginine and proline metabolism, and alanine, aspartate, and glutamate metabolism.

CONCLUSION

These findings suggest that GA113 exerts its anticancer effects by disrupting essential metabolic pathways in melanoma cells, which presents a promising therapeutic avenue to target melanoma metabolism.

Enhancer regulatory networks globally connect non-coding breast cancer loci to cancer genes

BACKGROUND

Genetic studies have associated thousands of enhancers with breast cancer (BC). However, the vast majority have not been functionally characterized. Thus, it remains unclear how BC-associated enhancers contribute to cancer.

RESULTS

Here, we perform single-cell CRISPRi screens of 3513 regulatory elements associated with breast cancer to measure the impact of these regions on transcriptional phenotypes. Analysis of > 500,000 single-cell transcriptomes in two breast cancer cell lines shows that perturbation of BC-associated enhancers disrupts breast cancer gene programs. We observe BC-associated enhancers that directly or indirectly regulate the expression of cancer genes. We also find one-to-multiple and multiple-to-one network motifs where enhancers indirectly regulate cancer genes. Notably, multiple BC-associated enhancers indirectly regulate TP53. Comparative studies illustrate subtype specific functions between enhancers in ER + and ER - cells. Finally, we develop the pySpade package to facilitate analysis of single-cell enhancer screens.

CONCLUSIONS

Overall, we demonstrate that enhancers form regulatory networks that link cancer genes in the genome, providing a more comprehensive understanding of the contribution of enhancers to breast cancer development.

Integrative bioinformatics and machine learning approach unveils potential biomarkers linking coronary atherosclerosis and fatty acid metabolism-associated gene

BACKGROUND

Atherosclerosis (AS) is increasingly recognized as a chronic inflammatory disease that significantly compromises vascular health and acts as a major contributor to cardiovascular diseases. Advancements in lipidomics and metabolomics have unveiled the complex role of fatty acid metabolism (FAM) in both healthy and pathological states. However, the specific roles of fatty acid metabolism-related genes (FAMGs) in shaping therapeutic approaches, especially in AS, remain largely unexplored and are a subject of ongoing research.

METHODS

This study employed advanced bioinformatics techniques to identify and validate FAMGs associated with AS. We conducted differential expression analysis on a select list of 49 candidate FAMGs. GSEA and GSVA were utilized to elucidate the potential biological roles and pathways of these FAMGs. Subsequently, Lasso regression and SVM-RFE were applied to identify key hub genes and assess the diagnostic efficacy of seven FAMGs in distinguishing AS. The study also explored the correlation between these hub FAMGs and clinical features of AS. Validation of the expression levels of the seven FAMGs was performed using datasets GSE43292 and GSE9820.

RESULTS

The study pinpointed seven FAMGs with a close association to AS: ACSBG2, ELOVL4, ACSL3, CPT2, ALDH2, HSD17B10, and CPT1B. Analysis of their biological functions underscored their significant involvement in critical processes such as fatty acid metabolism, small molecule catabolism, and nucleoside bisphosphate metabolism. The diagnostic potential of these seven FAMGs in AS differentiation showed promising results.

CONCLUSIONS

This research has successfully identified seven key FAMGs implicated in AS, offering novel insights into the pathophysiology of the disease. These findings not only contribute to our understanding of AS but also present potential biomarkers for the disease, opening avenues for more effective monitoring and progression tracking of AS.

Dysregulation of genes involved in the long-chain fatty acid transport in pancreatic ductal adenocarcinoma

BACKGROUND

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive lethal malignancy with limited options for treatment and a 5-year survival rate of 11% in the United States. As for other types of tumors, such as colorectal cancer, aberrant de novo lipid synthesis and reprogrammed lipid metabolism have been suggested to be associated with PDAC development and progression.

AIM

To identify the possible involvement of lipid metabolism in PDAC by analyzing in tumoral and non-tumoral tissues the expression level of the most relevant genes involved in the long-chain fatty acid (FA) import into cell.

METHODS

A gene expression analysis of FASN, CD36, SLC27A1, SLC27A2, SLC27A3, SLC27A4, SLC27A5, ACSL1, and ACSL3 was performed by qRT-PCR in 24 tumoral PDAC tissues and 11 samples from non-tumoral pancreatic tissues obtained via fine needle aspiration or via surgical resection. The genes were considered significantly dysregulated between the groups when the p value was < 0.05 and the fold change (FC) was ≤ 0.5 and ≥ 2.

RESULTS

We found that three FA transporters and two long-chain acyl-CoA synthetases genes were significantly upregulated in the PDAC tissue compared to the non-tumoral tissue: SLC27A2 (FC = 5.66; P = 0.033), SLC27A3 (FC = 2.68; P = 0.040), SLC27A4 (FC = 3.13; P = 0.033), ACSL1 (FC = 4.10; P < 0.001), and ACSL3 (FC = 2.67; P = 0.012). We further investigated any possible association between the levels of the analyzed mRNAs and the specific characteristics of the tumors, including the anatomic location, the lymph node involvement, and the presence of metastasis. A significant difference in the expression of SLC27A3 (FC = 3.28; P = 0.040) was found comparing patients with and without lymph nodes involvement with an overexpression of this transcript in 17 patients presenting tumoral cells in the lymph nodes.

CONCLUSION

Despite the low number of patients analyzed, these preliminary results seem to be promising. Addressing lipid metabolism through a broad strategy could be a beneficial way to treat this malignancy. Future in vitro and in vivo studies on these genes may offer important insights into the mechanisms linking PDAC with the long-chain FA import pathway.

Emerging role of metabolic reprogramming in the immune microenvironment and immunotherapy of thyroid cancer

The metabolic reprogramming of cancer cells is a hallmark of many malignancies. To meet the energy acquisition needs of tumor cells for rapid proliferation, tumor cells reprogram their nutrient metabolism, which is caused by the abnormal expression of transcription factors and signaling molecules related to energy metabolic pathways as well as the upregulation and downregulation of abnormal metabolic enzymes, receptors, and mediators. Thyroid cancer (TC) is the most common endocrine tumor, and immunotherapy has become the mainstream choice for clinical benefit after the failure of surgical, endocrine, and radioiodine therapies. TC change the tumor microenvironment (TME) through nutrient competition and metabolites, causing metabolic reprogramming of immune cells, profoundly changing immune cell function, and promoting immune evasion of tumor cells. A deeper understanding of how metabolic reprogramming alters the TME and controls immune cell fate and function will help improve the effectiveness of TC immunotherapy and patient outcomes. This paper aims to elucidate the metabolic communication that occurs between immune cells around TC and discusses how metabolic reprogramming in TC affects the immune microenvironment and the effectiveness of anti-cancer immunotherapy. Finally, targeting key metabolic checkpoints during metabolic reprogramming, combined with immunotherapy, is a promising strategy.

Molecular Targets and Small Molecules Modulating Acetyl Coenzyme A in Physiology and Diseases

Acetyl coenzyme A (acetyl-CoA), a pivotal regulatory metabolite, is a product of numerous catabolic reactions and a substrate for various anabolic responses. Its role extends to crucial physiological processes, such as glucose homeostasis and free fatty acid utilization. Moreover, acetyl-CoA plays a significant part in reshaping the metabolic microenvironment and influencing the progression of several diseases and conditions, including cancer, insulin resistance, diabetes, heart failure, fear, and neuropathic pain. This Review delves into the role of acetyl-CoA in both physiological and pathological conditions, shedding light on the key players in its formation within the cytosol. We specifically focus on the physiological impact of malonyl-CoA decarboxylase (MCD), acetyl-CoA synthetase2 (ACSS2), and ATP-citrate lyase (ACLY) on metabolism, glucose homeostasis, free fatty acid utilization, and post-translational modification cellular processes. Additionally, we present the pathological implications of MCD, ACSS2, and ACLY in various clinical manifestations. This Review also explores the potential and limitations of targeting MCD, ACSS2, and ACLY using small molecules in different clinical settings.

Investigating How Lysophosphatidylcholine and Lysophosphatidylethanolamine Enhance the Membrane Permeabilization Efficacy of Host Defense Peptide Piscidin 1

Lysophospholipids (LPLs) and host defense peptides (HDPs) are naturally occurring membrane-active agents that disrupt key membrane properties, including the hydrocarbon thickness, intrinsic curvature, and molecular packing. Although the membrane activity of these agents has been widely examined separately, their combined effects are largely unexplored. Here, we use experimental and computational tools to investigate how lysophosphatidylcholine (LPC) and lysophosphatidylethanolamine (LPE), an LPL of lower positive spontaneous curvature, influence the membrane activity of piscidin 1 (P1), an α-helical HDP from fish. Four membrane systems are probed: 75:25 C16:0-C18:1 PC (POPC)/C16:0-C18:1 phosphoglycerol (POPG), 50:25:25 POPC/POPG/16:0 LPC, 75:25 C16:0-C18:1 PE (POPE)/POPG, and 50:25:25 POPE/POPG/14:0 LPE. Dye leakage, circular dichroism, and NMR experiments demonstrate that while the presence of LPLs alone does not induce leakage-proficient defects, it boosts the permeabilization capability of P1, resulting in an efficacy order of POPC/POPG/16:0 LPC > POPE/POPG/14:0 LPE > POPC/POPG > POPE/POPG. This enhancement occurs without altering the membrane affinity and conformation of P1. Molecular dynamics simulations feature two types of asymmetric membranes to represent the imbalanced ("area stressed") and balanced ("area relaxed") distribution of lipids and peptides in the two leaflets. The simulations capture the membrane thinning effects of P1, LPC, and LPE, and the positive curvature strain imposed by both LPLs is reflected in the lateral pressure profiles. They also reveal a higher number of membrane defects for the P1/LPC than P1/LPE combination, congruent with the permeabilization experiments. Altogether, these results show that P1 and LPLs disrupt membranes in a concerted fashion, with LPC, the more disruptive LPL, boosting the permeabilization of P1 more than LPE. This mechanistic knowledge is relevant to understanding biological processes where multiple membrane-active agents such as HDPs and LPLs are involved.