Vitamin B5 supports MYC oncogenic metabolism and tumor progression in breast cancer

L-Kynurenine activates the AHR-PCSK9 pathway to mediate the lipid metabolic and ovarian dysfunction in polycystic ovary syndrome

Dysregulated amino acid metabolism is a key contributor to polycystic ovary syndrome (PCOS). This cross-sectional study revealed that serum levels of L-kynurenine (L-Kyn) were significantly elevated in women with PCOS, whereas pyridoxal 5'-phosphate (PLP) levels were markedly reduced. Moreover, human serum L-Kyn levels exhibited a positive correlated with low-density lipoprotein cholesterol (LDL-C) and a negative correlation with high-density lipoprotein cholesterol (HDL-C). Additionally, letrozole (LET) induced PCOS-like mice displayed increased hepatic L-Kyn levels. Mechanistically, both in vivo and in vitro experiments demonstrated that the upregulation of indoleamine 2,3-dioxygenase (IDO1) activates the aryl hydrocarbon receptor (AHR) - proprotein convertase subtilisin/kexin type 9 (PCSK9) pathway in the liver of PCOS-like mice, thereby contributing to dyslipidemia. Treatment with epacadostat, an inhibitor of the enzyme IDO1, or PLP, a cofactor for L-Kyn catabolism, effectively restored ovarian function, improved glucose tolerance, and ameliorated lipid profile abnormalities in PCOS-like mice.

Taraxacum sinicum Kitag. (Binpu-3) root extract inhibits tumor invasion via Notch signaling in Drosophila and human breast cancer MDA-MB-231 cells

Metastasis is the primary cause of death in patients with malignant tumors. Therefore, effectively controlling or reversing tumor cell growth and metastasis is crucial for treating malignant tumors. In this study, we investigated the effects and underlying mechanisms of Binpu-3 (a strain of Taraxacum sinicum Kitag., which was cultivated in slightly saline-alkali soil) on tumor invasion both in Drosophila and human breast cancer cells. High-performance liquid chromatography (HPLC) analysis revealed that caftaric, chlorogenic, caffeic, and cichoric acids in the Binpu-3 leaves and roots were significantly higher than those in the wild-type Handan strain. Binpu-3 root extract (Binpu-3RE) suppressed the invasion rate of tumor cells at 25.00 mg/mL in the Drosophila eyeful model, whereas Binpu-3 leaf extract had no obvious effect on tumor metastasis. Accordingly, we found that caffeic acid, quercetin, apigenin, and taraxasterol content in Binpu-3 roots was significantly higher than that in the leaves. In addition, ultra performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS) analysis revealed that Binpu-3RE contained various constituents, including pantothenate (0.1%), butein (0.53%), chlorogenate (0.78%), chicoric acid (1.96%), azelaic acid (0.23%), and [6]-gingerol (0.13%). In vivo, Binpu-3RE impeded ptc>scrib-IR triggered cell migration in Drosophila at an appropriate concentration, and 25.00 mg/mL was selected as the best dose to carry out follow-up mechanistic research. This dose of Binpu-3RE reduced the mRNA levels of Notch pathway key genes Delta, Serrate, Notch, Su(H), and En(spl), the expression levels of NRE-GFP (Notch activity reporter), β-integrin, and metalloproteinase-1 (MMP1) in Drosophila. Cell viability, wound healing, transwell, and Western blotting assays data implied that Binpu-3RE reduced cell growth, migration, invasion, and the expression of Notch1, Jagged1, and HES1 in human breast cancer MDA-MB-231 cells. In summary, the saline-alkali tolerant dandelion Binpu-3 used in this study was of excellent quality, and the root extract showed significant anti-tumor metastasis effects via reduction of Notch signal activity and the expression β-integrin and MMP1 proteins in Drosophila and breast cancer cells, providing a theoretical basis for the development and use of alkaline-soil dandelion herbs, and a therapeutic strategy for the clinical treatment of malignant breast cancer.

Harnessing the Power of Metabolomics for Precision Oncology: Current Advances and Future Directions

Metabolic reprogramming is a hallmark of cancer, with cancer cells acquiring many unique metabolic traits to support malignant growth, and extensive intra- and inter-tumour metabolic heterogeneity. Understanding these metabolic characteristics presents opportunities in precision medicine for both diagnosis and therapy. However, despite its potential, metabolic phenotyping has lagged behind genetic, transcriptomic, and immunohistochemical profiling in clinical applications. This is partly due to the lack of a single experimental technique capable of profiling the entire metabolome, necessitating the use of multiple technologies and approaches to capture the full range of cancer metabolic plasticity. This review examines the repertoire of tools available for profiling cancer metabolism, demonstrating their applications in preclinical and clinical settings. It also presents case studies illustrating how metabolomic profiling has been integrated with other omics technologies to gain insights into tumour biology and guide treatment strategies. This information aims to assist researchers in selecting the most effective tools for their studies and highlights the importance of combining different metabolic profiling techniques to comprehensively understand tumour metabolism.

Causal association and potential mediator between lung cancer and tuberculosis: A Mendelian randomization study

BACKGROUND

The coexistence of tuberculosis (TB) and lung cancer (LC) is not rare, but their causal association are underexplored. This study aims to elucidate these bidirectional correlations and investigate the mediating effects of immunophenotypes and plasma metabolites.

METHODS

Genetic variants for TB and LC were sourced from the IEU Open GWAS Project, while data for 731 immunophenotypes and 1400 plasma metabolites from previously published GWAS. Our core methodology centered on inverse-variance weighted method, supplemented by MR-Egger, weighted median, simple mode, and weighted mode analyses to evaluate the bidirectional causal association between TB and LC. Additionally, a two-step Mendelian randomization analysis was performed to assess mediators of the association and calculate the mediated proportions. Multiple sensitivity analyses ensured the reliability of results.

RESULTS

Inverse-variance weighted results indicated a positive causal association between TB and LC (odds ratio: 1.072, 95 % confidence interval: 1.010-1.137, P < 0.05), with no reverse relationship. Causal associations were found between 30 immunophenotypes and 106 metabolites with LC (all P < 0.05). Among these, 1 immunophenotype, 6 metabolite levels, and 1 metabolite ratio were potential mediators of the TB-LC association. Specifically, CD4 on CD39+ resting regulatory T cells showed an inverse association, suggesting a protective role, while pantoate, ethylparaben sulfate, dopamine 4-sulfate, pentose acid, N-formylmethionine, N6,N6,N6-trimethyllysine, and the tryptophan to pyruvate ratio exhibited positive correlations, indicating risk factors. No heterogeneity or horizontal pleiotropy was observed.

CONCLUSION

TB is a risk factor for LC at a genetically predicted level, potentially mediated through immune cell and metabolite regulation.

Recent Advances on the Role of B Vitamins in Cancer Prevention and Progression

Water-soluble B vitamins, mainly obtained through dietary intake of fruits, vegetables, grains, and dairy products, act as co-factors in various biochemical processes, including DNA synthesis, repair, methylation, and energy metabolism. These vitamins include B1 (Thiamine), B2 (Riboflavin), B3 (Niacin), B5 (Pantothenic Acid), B6 (Pyridoxine), B7 (Biotin), B9 (Folate), and B12 (Cobalamin). Recent studies have shown that besides their fundamental physiological roles, B vitamins influence oncogenic metabolic pathways, including glycolysis (Warburg effect), mitochondrial function, and nucleotide biosynthesis. Although deficiencies in these vitamins are associated with several complications, emerging evidence suggests that excessive intake of specific B vitamins may also contribute to cancer progression and interfere with therapy due to impaired metabolic and genetic functions. This review discusses the tumor-suppressive and tumor-progressive roles of B vitamins in cancer. It also explores the recent evidence on a comprehensive understanding of the relationship between B vitamin metabolism and cancer progression and underscores the need for further research to determine the optimal balance of B vitamin intake for cancer prevention and therapy.

Breast cancer: pathogenesis and treatments

Breast cancer, characterized by unique epidemiological patterns and significant heterogeneity, remains one of the leading causes of malignancy-related deaths in women. The increasingly nuanced molecular subtypes of breast cancer have enhanced the comprehension and precision treatment of this disease. The mechanisms of tumorigenesis and progression of breast cancer have been central to scientific research, with investigations spanning various perspectives such as tumor stemness, intra-tumoral microbiota, and circadian rhythms. Technological advancements, particularly those integrated with artificial intelligence, have significantly improved the accuracy of breast cancer detection and diagnosis. The emergence of novel therapeutic concepts and drugs represents a paradigm shift towards personalized medicine. Evidence suggests that optimal diagnosis and treatment models tailored to individual patient risk and expected subtypes are crucial, supporting the era of precision oncology for breast cancer. Despite the rapid advancements in oncology and the increasing emphasis on the clinical precision treatment of breast cancer, a comprehensive update and summary of the panoramic knowledge related to this disease are needed. In this review, we provide a thorough overview of the global status of breast cancer, including its epidemiology, risk factors, pathophysiology, and molecular subtyping. Additionally, we elaborate on the latest research into mechanisms contributing to breast cancer progression, emerging treatment strategies, and long-term patient management. This review offers valuable insights into the latest advancements in Breast Cancer Research, thereby facilitating future progress in both basic research and clinical application.

Use of metabolic imaging to monitor heterogeneity of tumour response following therapeutic mTORC1/2 pathway inhibition

The PI3K-mTOR-AKT pathway regulates tumour proliferation, gene expression and metabolism, but pathway inhibition induces heterogeneous feedback reactivation, limiting anti-tumour responses. Measuring heterogeneity of pathway inhibition in tissues using protein biomarker phosphorylation or location is challenging. An integrated multi-modal imaging workflow was developed to assess the heterogeneity of AZD2014 (mTORC1/2 inhibitor) response in a PTEN-null renal cancer model. Spatial responses of metabolite biomarkers were analysed by mass spectrometry imaging (MSI). Control and treated tumours were classified according to metabolite-defined regions enriched in control versus AZD2014-treated tumours, respectively. Noticeably, AZD2014-treated tumours retained regions similar to regions dominant in untreated tumours. Imaging mass cytometry analysis of protein biomarkers in 'control-like' regions following AZD2014 treatment showed reduced phospho-S6, indicating suppression, but retained high expression of the glucose transporter GLUT1. Increasing PI3K-AKT inhibition by combining with AZD8186 (PI3Kβ inhibitor) further decreased the control-like metabolic signature, showing PI3K-dependent resistance. This demonstrates that MSI-based workflows yield novel insights into the pharmacodynamic effects of mTORC1/2 inhibition in tumours, which classical biomarkers do not resolve. Coupling these workflows with spatial-omics approaches can deliver greater insights into heterogeneity of treatment response.

A multimodal imaging pipeline to decipher cell-specific metabolic functions and tissue microenvironment dynamics

Tissue microenvironments are extremely complex and heterogeneous. It is challenging to study metabolic interaction between the different cell types in a tissue with the techniques that are currently available. Here we describe a multimodal imaging pipeline that allows cell type identification and nanoscale tracing of stable isotope-labeled compounds. This pipeline extends upon the principles of correlative light, electron and ion microscopy, by combining confocal microscopy reporter or probe-based fluorescence, electron microscopy, stable isotope labeling and nanoscale secondary ion mass spectrometry. We apply this method to murine models of hepatocellular and mammary gland carcinomas to study uptake of glucose derived carbon (13C) and glutamine derived nitrogen (15N) by tumor-associated immune cells. In vivo labeling with fluorescent-tagged antibodies (B220, CD3, CD8a, CD68) in tandem with confocal microscopy allows for the identification of specific cell types (B cells, T cells and macrophages) in the tumor microenvironment. Subsequent image correlation with electron microscopy offers the contrast and resolution to image membranes and organelles. Nanoscale secondary ion mass spectrometry tracks the enrichment of stable isotopes within these intracellular compartments. The whole protocol described here would take ~6 weeks to perform from start to finish. Our pipeline caters to a broad spectrum of applications as it can easily be adapted to trace the uptake and utilization of any stable isotope-labeled nutrient, drug or a probe by defined cellular populations in any tissue in situ.

Elucidating the Mechanisms of Acquired Palbociclib Resistance via Comprehensive Metabolomics Profiling

Palbociclib is a cyclin-dependent kinase 4/6 inhibitor and a commonly used antitumor drug. Many cancers are susceptible to palbociclib resistance, however, the underlying metabolism mechanism and extent of resistance to palbociclib are unknown. In this study, LC-MS metabolomics was used to investigate the metabolite changes of colorectal cancer SW620 cells that were resistant to palbociclib. The study indicated that there were 76 metabolite expression differences between SW620 cells with palbociclib resistance and the parental SW620 cells involving amino acids, glutathione, ABC transporters, and so on. MetaboAnalyst 6.0 metabolic pathway analysis showed that arginine synthesis, β-alanine metabolism, and purine metabolism were disrupted. These results may provide potential clues to the metabolism mechanism of drug resistance in cancer cells that are resistant to palbociclib. Our study has the potential to contribute to the study of anti-palbociclib resistance.

A β-1,3/1,6-glucan enhances anti-tumor effects of PD1 antibody by reprogramming tumor microenvironment

Checkpoint blockades have emerged as a frontline approach in cancer management, designed to enhance the adaptive immune response against tumors. However, its clinical efficacy is limited to a narrow range of tumor types, which necessitates the exploration of novel strategies that target another main branch of the immune system. One such potential strategy is the therapeutic modulation of pattern recognition receptors (PRRs) pathways in innate immune cells, which have shown promise in tumor eradication. Previously, a β-1,3/1,6-glucan with high purity from Durvillaea antarctica (BG136) was reported by our group to exhibit pan-antitumor effects. In the current study, we systemically studied the antitumor activity of BG136 in combination with anti-PD1 antibody in MC38 syngeneic tumor model in vivo. Integrated transcriptomic and metabolomic analyses suggested that BG136 enhanced the antitumor immunity of anti-PD1 antibody by reprogramming the tumor microenvironment to become more proinflammatory. In addition, an increase in innate and adaptive immune cell infiltration and activation, enhanced lipid metabolism, and a decrease in ascorbate and aldarate metabolism were also found. These findings provide mechanistic insights that support the potent antitumor efficacy of BG136 when combined with immune checkpoint inhibitor antibodies.

Foxd3/SLC5A6 axis regulates apoptosis in LUAD cells by controlling mitochondrial biotin uptake

Lung cancer remains one of the leading causes of cancer-related mortality worldwide, with non-small cell lung cancer (NSCLC) accounting for over 85 % of cases. Lung adenocarcinoma (LUAD) is the most common subtype of NSCLC, and while targeted therapies and immune checkpoint inhibitors have improved outcomes, many patients exhibit resistance, necessitating the development of novel treatments. This study explores the role of the SLC5A6 gene, which encodes a sodium-dependent multivitamin transporter critical for mitochondrial function, in LUAD progression. We found that SLC5A6 is significantly upregulated in LUAD tissues and is associated with poor prognosis. Overexpression of SLC5A6 enhanced cell proliferation and migration, while knockout of SLC5A6 impaired these processes and induced apoptosis by disrupting mitochondrial function. Additionally, we identified Foxd3 as a key transcription factor regulating SLC5A6 expression. In vivo experiments demonstrated that SLC5A6 knockout effectively inhibited tumor growth. These findings suggest that SLC5A6 is a potential therapeutic target for LUAD, offering a new avenue for treatment strategies.

Associations between serum metabolites and female cancers: A bidirectional two-sample mendelian randomization study

Female cancers, especially breast, ovarian, cervical, and endometrial cancers, constitute a major threat to women's health worldwide. In view of the complex genetic background of cancers cannot be fully explained with current genetic information, we used a bidirectional two-sample mendelian randomization approach to explore the causal associations between serum metabolites and four major female cancers-breast, ovarian, cervical, and endometrial cancers. We analyzed the metabolites dataset from the Canadian Longitudinal Study of Aging and cancer datasets from the 10th round of the Finngen project. Replication analyses was performed with Cancer Association Consortium and Leo's studies. Instrumental variables were analyzed using methods including the Wald ratio, inverse-variance weighted, MR-Egger, and weighted median. To ensure robustness, sensitivity analyses were performed using Cochrane's Q, Egger's intercept, MR-PRESSO, and leave-one-out methods. After meticulous analysis, we obtained levels of 3-hydroxyoleoylcarnitine, hexadecanedioate, tetradecanedioate, and carnitine C14 with robust causal associations with breast cancer, levels of 5alpha-androstan-3alpha,17beta-diol monosulfate (1), androstenediol (3beta,17beta) monosulfate (1), androsterone sulfate, and 5alpha-androstan-3beta,17beta-diol disulfate causal associations with endometrial cancer. The reverse analysis showed that breast, ovarian, and endometrial cancer and survival of breast and ovarian cancer were found to have causal relationships with 8, 5, 2, 6, and 3 metabolites, respectively. These insights underscore the potential roles of specific metabolites in the etiology of female cancers, providing new biomarkers for early detection, risk stratification, and disease progression monitoring. Further research could elucidate how these metabolites influence specific pathways in cancer development, offering theoretical foundations for prevention and treatment strategies.

Dietary vitamin B3 supplementation induces the antitumor immunity against liver cancer via biased GPR109A signaling in myeloid cell

The impact of dietary nutrients on tumor immunity remains an area of ongoing investigation, particularly regarding the specific role of vitamins and their mechanism. Here, we demonstrate that vitamin B3 (VB3) induces antitumor immunity against liver cancer through biased GPR109A axis in myeloid cell. Nutritional epidemiology studies suggest that higher VB3 intake reduces liver cancer risk. VB3 supplementation demonstrates antitumor efficacy in multiple mouse models through alleviating the immunosuppressive tumor microenvironment (TME) mediated by tumor-infiltrating myeloid cell, thereby augmenting effectiveness of immunotherapy or targeted therapy in a CD8+ T cell-dependent manner. Mechanically, the TME induces aberrant GPR109A/nuclear factor κB (NF-κB) activation in myeloid cell to shape the immunosuppressive TME. In contrast, VB3 activates β-Arrestin-mediated GPR109A degradation and NF-κB inhibition to suppress the immunosuppressive polarization of myeloid cell, thereby activating the cytotoxic function of CD8+ T cell. Overall, these results expand the understanding of how vitamins regulate the TME, suggesting that dietary VB3 supplementation is an adjunctive treatment for liver cancer.

Challenges of Spatially Resolved Metabolism in Cancer Research

Stable isotope-resolved metabolomics comprises a critical set of technologies that can be applied to a wide variety of systems, from isolated cells to whole organisms, to define metabolic pathway usage and responses to perturbations such as drugs or mutations, as well as providing the basis for flux analysis. As the diversity of stable isotope-enriched compounds is very high, and with newer approaches to multiplexing, the coverage of metabolism is now very extensive. However, as the complexity of the model increases, including more kinds of interacting cell types and interorgan communication, the analytical complexity also increases. Further, as studies move further into spatially resolved biology, new technical problems have to be overcome owing to the small number of analytes present in the confines of a single cell or cell compartment. Here, we review the overall goals and solutions made possible by stable isotope tracing and their applications to models of increasing complexity. Finally, we discuss progress and outstanding difficulties in high-resolution spatially resolved tracer-based metabolic studies.

Generation of a biliary tract cancer cell line atlas reveals molecular subtypes and therapeutic targets

Biliary tract cancers (BTCs) are a group of deadly malignancies encompassing intrahepatic and extrahepatic cholangiocarcinoma, gallbladder carcinoma, and ampullary carcinoma. Here, we present the integrative analysis of 63 BTC cell lines via multi-omics clustering and genome- scale CRISPR screens, providing a platform to illuminate BTC biology and inform therapeutic development. We identify dependencies broadly enriched in BTC compared to other cancers as well as dependencies selective to the anatomic subtypes. Notably, cholangiocarcinoma cell lines are stratified into distinct lineage subtypes based on biliary or dual biliary/hepatocyte marker signatures, associated with dependency on specific lineage survival factors. Transcriptional analysis of patient specimens demonstrates the prognostic significance of these lineage subtypes. Additionally, we delineate strategies to enhance targeted therapies or to overcome resistance in cell lines with key driver gene mutations. Furthermore, clustering based on dependencies and proteomics data elucidates unexpected functional relationships, including a BTC subgroup with partial squamous differentiation. Thus, this cell line atlas reveals potential therapeutic targets in molecularly defined BTCs, unveils biologically distinct disease subtypes, and offers a vital resource for BTC research.

HLH-30/TFEB rewires the chaperone network to promote proteostasis under conditions of Coenzyme A and Iron-Sulfur Cluster Deficiency

The maintenance of a properly folded proteome is critical for cellular function and organismal health, and its age-dependent collapse is associated with a wide range of diseases. Here, we find that despite the central role of Coenzyme A as a molecular cofactor in hundreds of cellular reactions, limiting Coenzyme A levels in C. elegans and in human cells, by inhibiting the conserved pantothenate kinase, promotes proteostasis. Impairment of the cytosolic iron-sulfur clusters formation pathway, which depends on Coenzyme A, similarly promotes proteostasis and acts in the same pathway. Proteostasis improvement by Coenzyme A/iron-sulfur cluster deficiencies are dependent on the conserved HLH-30/TFEB transcription factor. Strikingly, under these conditions, HLH-30 promotes proteostasis by potentiating the expression of select chaperone genes providing a chaperone-mediated proteostasis shield, rather than by its established role as an autophagy and lysosome biogenesis promoting factor. This reflects the versatile nature of this conserved transcription factor, that can transcriptionally activate a wide range of protein quality control mechanisms, including chaperones and stress response genes alongside autophagy and lysosome biogenesis genes. These results highlight TFEB as a key proteostasis-promoting transcription factor and underscore it and its upstream regulators as potential therapeutic targets in proteostasis-related diseases.

Clinical Impact of C-myc Oncogenic Diversity on Solid and Lymphoid Malignancies

INTRODUCTION

Onset and progression of malignant tumors is a multistep process including a variety of gross chromosomal and specific genes' deregulation. Among oncogenes that are frequently altered in solid and also in hematological malignancies, the C-myc (gene locus: 8q24.21) plays a pivotal role. C-myc is a proto-oncogene encoding for a nuclear phosphoprotein implicated in cell cycle progression, apoptosis and cellular differentiation and transformation.

OBJECTIVE

The purpose of the current molecular review was to explore the differences of C-myc oncogenic activity in solid and lymphoid malignancies that modify its clinical impact on them.

MATERIAL AND METHOD

A systematic review of the literature in the international database PubMed was carried out. The year 2010 was set as a prominent time limit for the publication date of articles in the majority of them, whereas specific references of great importance and historical value in the field of C-myc gene discovery and analysis were also included. The following keywords were used: C-myc, oncogene, signaling pathway, malignancies, carcinoma, lymphoma. A pool of 43 important articles were selected for the present study at the basis of combining molecular knowledge with new targeted therapeutic strategies.

RESULTS

C-myc oncogene demonstrates two different mechanisms of deregulation: amplification, mutation and translocation patterns. These particular aspects of gene alteration are unique for solid and non-solid (hematological) malignancies, respectively.

CONCLUSIONS

C-myc is characterized by diversity regarding its deregulation mechanisms in malignancies derived from different tissues. C-myc translocation is sporadically combined with amplification ("complicon" formation) or mutations creating exotic genetic signatures. This "bi-phasic" C-myc deregulation model in the corresponding malignant tumor categories clinically affects the corresponding patients, also modifying the targeted therapeutic strategies on them.

Coenzyme A biosynthesis: mechanisms of regulation, function and disease

The tricarboxylic acid cycle, nutrient oxidation, histone acetylation and synthesis of lipids, glycans and haem all require the cofactor coenzyme A (CoA). Although the sources and regulation of the acyl groups carried by CoA for these processes are heavily studied, a key underlying question is less often considered: how is production of CoA itself controlled? Here, we discuss the many cellular roles of CoA and the regulatory mechanisms that govern its biosynthesis from cysteine, ATP and the essential nutrient pantothenate (vitamin B5), or from salvaged precursors in mammals. Metabolite feedback and signalling mechanisms involving acetyl-CoA, other acyl-CoAs, acyl-carnitines, MYC, p53, PPARα, PINK1 and insulin- and growth factor-stimulated PI3K-AKT signalling regulate the vitamin B5 transporter SLC5A6/SMVT and CoA biosynthesis enzymes PANK1, PANK2, PANK3, PANK4 and COASY. We also discuss methods for measuring CoA-related metabolites, compounds that target CoA biosynthesis and diseases caused by mutations in pathway enzymes including types of cataracts, cardiomyopathy and neurodegeneration (PKAN and COPAN).

Multimodal Mass Spectrometry Imaging of an Osteosarcoma Multicellular Tumour Spheroid Model to Investigate Drug-Induced Response

A multimodal mass spectrometry imaging (MSI) approach was used to investigate the chemotherapy drug-induced response of a Multicellular Tumour Spheroid (MCTS) 3D cell culture model of osteosarcoma (OS). The work addresses the critical demand for enhanced translatable early drug discovery approaches by demonstrating a robust spatially resolved molecular distribution analysis in tumour models following chemotherapeutic intervention. Advanced high-resolution techniques were employed, including desorption electrospray ionisation (DESI) mass spectrometry imaging (MSI), to assess the interplay between metabolic and cellular pathways in response to chemotherapeutic intervention. Endogenous metabolite distributions of the human OS tumour models were complemented with subcellularly resolved protein localisation by the detection of metal-tagged antibodies using Imaging Mass Cytometry (IMC). The first application of matrix-assisted laser desorption ionization-immunohistochemistry (MALDI-IHC) of 3D cell culture models is reported here. Protein localisation and expression following an acute dosage of the chemotherapy drug doxorubicin demonstrated novel indications for mechanisms of region-specific tumour survival and cell-cycle-specific drug-induced responses. Previously unknown doxorubicin-induced metabolite upregulation was revealed by DESI-MSI of MCTSs, which may be used to inform mechanisms of chemotherapeutic resistance. The demonstration of specific tumour survival mechanisms that are characteristic of those reported for in vivo tumours has underscored the increasing value of this approach as a tool to investigate drug resistance.

A radiogenomic multimodal and whole-transcriptome sequencing for preoperative prediction of axillary lymph node metastasis and drug therapeutic response in breast cancer: a retrospective, machine learning and international multicohort study

BACKGROUND

Axillary lymph nodes (ALN) status serves as a crucial prognostic indicator in breast cancer (BC). The aim of this study was to construct a radiogenomic multimodal model, based on machine learning and whole-transcriptome sequencing (WTS), to accurately evaluate the risk of ALN metastasis (ALNM), drug therapeutic response and avoid unnecessary axillary surgery in BC patients.

METHODS

In this study, conducted a retrospective analysis of 1078 BC patients from The Cancer Genome Atlas (TCGA), The Cancer Imaging Archive (TCIA), and Foshan cohort. These patients were divided into the TCIA cohort ( N =103), TCIA validation cohort ( N =51), Duke cohort ( N =138), Foshan cohort ( N =106), and TCGA cohort ( N =680). Radiological features were extracted from BC radiological images and differentially expressed gene expression was calibrated using technology. A support vector machine model was employed to screen radiological and genetic features, and a multimodal model was established based on radiogenomic and clinical pathological features to predict ALNM. The accuracy of the model predictions was assessed using the area under the curve (AUC) and the clinical benefit was measured using decision curve analysis. Risk stratification analysis of BC patients was performed by gene set enrichment analysis, differential comparison of immune checkpoint gene expression, and drug sensitivity testing.

RESULTS

For the prediction of ALNM, rad-score was able to significantly differentiate between ALN- and ALN+ patients in both the Duke and Foshan cohorts ( P <0.05). Similarly, the gene-score was able to significantly differentiate between ALN- and ALN+ patients in the TCGA cohort ( P <0.05). The radiogenomic multimodal nomogram demonstrated satisfactory performance in the TCIA cohort (AUC 0.82, 95% CI: 0.74-0.91) and the TCIA validation cohort (AUC 0.77, 95% CI: 0.63-0.91). In the risk sub-stratification analysis, there were significant differences in gene pathway enrichment between high and low-risk groups ( P <0.05). Additionally, different risk groups may exhibit varying treatment responses ( P <0.05).

CONCLUSION

Overall, the radiogenomic multimodal model employs multimodal data, including radiological images, genetic, and clinicopathological typing. The radiogenomic multimodal nomogram can precisely predict ALNM and drug therapeutic response in BC patients.