Global research trends on biomarkers for cancer immunotherapy: Visualization and bibliometric analysis

The global burden of cancer continues to grow, posing a significant public health challenge. Although cancer immunotherapy has shown significant efficacy, the response rate is not high. Therefore, the objective of our research was to identify the latest research trends and hotspots on biomarkers from 1993 to 2023. Data were collected from the database Web of Science core collection. Bibliometric analysis and visualization were conducted with CiteSpace(6.3.1), VOSviewer (v1.6.20), R-bibliometrix(v4.3.3), and Microsoft Excel(2019). A total of 2686 literatures were retrieved. The sheer annual volume of publications has shown a rapid upward trend since 2015. The United States has generated the most publications and Harvard University ranked as a leading institution. The global biomarker research on immune checkpoint inhibitors (ICIs) revealed regional differences and in-depth explorations should be promoted in developing countries. Although China has become the second largest country in terms of publication, the average citation per paper and the total link strength were both lower than the other countries. The research on biomarkers mainly concentrated upon the following aspects: PD-1/PD-L1, CTLA-4, gene expression, adverse events, total mutational burden (TMB), body mass index (BMI), gut microbiota, cd8(+)/cd4(+) t-cells, and blood-related biomarkers such as lactate dehydrogenase (LDH), neutrophil-lymphocyte ratio (NLR), cytokines. Furthermore, "artificial intelligence" and "machine learning" have become the most important research hotspot over the last 2 y, which will help us to identify useful biomarkers from complex big data and provide a basis for precise medicine for malignant tumors.

FTO triggers NLRP3/GSDMD-dependent pyroptosis to enhance cisplatin-sensitivity in ovarian cancer

Chemotherapy resistance is still the major impediment to poor prognosis of ovarian cancer (OC). The fat mass and obesity associated protein (FTO), as the first recognized RNA N6-methyladenosine (m6A) demethylase, was dysregulated in various tumors, but its effect on chemoresistance of OC remains unexplored. In this study, FTO expression in tissues and cells was measured by qPCR, IHC, and Western blot. Functional assays were performed, including CCK-8, colony formation, flow cytometry, Transwell assays, and LDH release. Pyroptosis-related proteins were detected by Western blot. MeRIP-qPCR was conducted to measure the m6A level. Finally, the effect of FTO on tumor growth and cisplatin (DDP) sensitivity of OC was checked in a mouse model. We found that FTO was significantly downregulated in OC tissues compared to adjacent normal tissues. In addition, the protein level of FTO was much lower in cisplatin (DDP)-resistant cells than in DDP-sensitive cells. Then, FTO overexpression in DDP-resistant cells decreased IC50 of DDP, increased cell apoptosis, and inhibited cell proliferation, migration, and invasion, whereas FTO silencing cells showed the opposite phenotypes. Moreover, FTO promoted the protein expressions of pyroptosis-related proteins, including NLRP3, cleaved-caspase-1, and GSDMD-NT, to enhance DDP sensitivity, as indicated by lower IC50. Furthermore, FTO activated NLRP3/Caspase-1/GSDMD-mediated pyroptosis in DDP-resistant cells. Mechanically, FTO successfully reduced the total m6A level and NLRP3 mRNA m6A modification to further increase DDP sensitivity in resistant cells. Finally, FTO overexpression promoted DDP-sensitivity and NLRP3 expression to inhibit tumorigenesis in a nude mice xenograft model. Together, our study inferred that FTO triggered NLRP3/Caspase-1/GSDMD-dependent pyroptosis by mediating NLRP3 m6A demethylation to enhance DDP-sensitivity and inhibit the progression of OC. This project indicates that FTO overexpression may be a potential strategy to overcome DDP resistance in OC.

Galectin-1: An important regulator in myeloid differentiation and acute myeloid leukemia as well as a promising prognostic indicator and therapeutic target

Acute myeloid leukemia (AML) is an aggressive and heterogeneous hematological malignancy with a low survival probability and limited therapeutic options. Although galectin-1 (LGALS1) has been implicated in tumor cell survival and immune evasion in solid tumor, its role in AML is still unclear. In this study, we found that LGALS1 presents prominent upregulation in AML patients at both mRNA and protein levels compared with the control samples. Bioinformatics analysis indicated that high expression of LGALS1 is a significant unfavorable prognostic factor for overall survival in AML, correlating with adverse clinical and genetic features as well as immune cell infiltration. Depletion of LGALS1 in AML cells impeded cell proliferation, induced apoptosis and promoted myeloid differentiation. Treatment with OTX008, an LGALS1 inhibitor, markedly diminished the viability of primary malignant bone marrow cells from AML patients. Notably, LGALS1 expression was significantly reduced exclusively in AML-M5 patients after treatment, which may be due to its higher expression in AML-M5 subtype compared to other FAB subtypes. In summary, our findings indicate that LGALS1 could serve as an independent prognostic risk factor and a promising therapeutic target in AML, providing novel insights into AML pathogenesis and laying the foundation for the development of new therapeutic strategies.

Glutamatergic synaptic plasticity in medial vestibular nuclei during vestibular compensation

Vestibular compensation, the spontaneous recovery from vestibular dysfunction following unilateral vestibular loss, serves as a valuable model for investigating post-lesion plasticity in the adult central nervous system. Elucidating the mechanisms underlying vestibular compensation also offers promising therapeutic avenues for treating vestibular disorders. While most studies have focused on the dynamics of GABAergic synaptic plasticity and intrinsic cellular adaptations in the ipsilesional medial vestibular nucleus (MVN) after unilateral labyrinthectomy (UL), the role of glutamatergic synaptic plasticity in this process remains largely unexplored. Here, we employed Golgi staining, immunofluorescence, whole-cell patch-clamp recordings, and behavioral assessments to examine the structural and functional dynamics of glutamatergic synapses during vestibular compensation. Our results reveal rapid structural and functional plasticity of glutamatergic transmission in response to UL. Specifically, dendritic spine density and morphology in the ipsilesional MVN recovered to baseline levels within 6 to 24 h post-UL. Furthermore, UL-induced postsynaptic depression of glutamatergic synaptic strength, reflected by a reduced AMPA/NMDA ratio, was reversed within 24 h, likely due to an upregulation of Ca2+-permeable AMPA receptors. In contrast, presynaptic glutamate release probability, as indicated by a reduced frequency of spontaneous excitatory postsynaptic currents, was not fully compensated during this period. These results suggest that while presynaptic properties recover more slowly in ipsilesional MVN neurons following UL, postsynaptic glutamatergic transmission undergoes rapid structural and functional reorganization. The findings highlight glutamatergic synaptic plasticity as a critical driver for vestibular compensation and suggest that pharmacological interventions targeting these mechanisms may accelerate functional recovery, offering potential therapeutic avenues for vestibular disorders.

The role of ferroptosis in breast cancer: Tumor progression, immune microenvironment interactions and therapeutic interventions

Ferroptosis represents a distinctive and distinct form of regulated cellular death, which is driven by the accumulation of lipid peroxidation. It is distinguished by altered redox lipid metabolism and is linked to a spectrum of cellular activities, including cancer. In breast cancer (BC), with triple negative breast cancer (TNBC) being an iron-and lipid-rich tumor, inducing ferroptosis was thought to be a novel approach to killing breast tumor cells. However, in the recent past, a novel conceptual framework has emerged which posits that in addition to the promotion of tumor cell death, ferritin deposition has a potent immunosuppressive effect on the tumor immune microenvironment (TIME) via the influence on both innate and adaptive immune responses. TIME of BC includes various cell populations from both the innate and adaptive immune systems. In this review, the internal association between iron homeostasis and the progression of ferroptosis, along with the common inducers and protectors of ferroptosis in BC, are discussed in detail. Furthermore, a comprehensive analysis is conducted on the dual role of ferroptosis in immune cells and proto-oncogenic functions, along with an evaluation of the potential applications of immunogenic cell death-targeted immunotherapy in TIME of BC. It is anticipated that our review will inform future research endeavors that seek to integrate ferroptosis and immunotherapy in the management of BC.

Exploring the molecular interactions between ferroptosis and the Wnt/β-catenin signaling pathway: Implications for cancer and disease therapy

Ferroptosis, a regulated form of cell death dependent on iron and marked by lipid peroxidation, is increasingly recognized for its role in a wide array of diseases, including cancers, neurodegenerative disorders, and tissue damage. This review examines the dynamic interaction between ferroptosis and the Wnt/β-catenin signaling pathway, focusing on how Wnt surface receptors, ligands, antagonists, and associated components influence the regulation of ferroptosis. Key elements such as Frizzled receptors, Wnt ligands, and antagonists like DKK1 are shown to affect ferroptosis by altering oxidative stress, lipid dynamics, and iron metabolism. A central aspect of this interaction is the role of the destruction complex, particularly GSK-3β, which regulates ferroptosis through its upstream modulation by the AKT pathway and downstream control over NRF2, GPX4, and SLC7A11. Furthermore, the involvement of β-catenin/TCF transcription factors in the regulation of ferroptosis emphasizes the significance of this pathway in promoting cell survival and resisting ferroptosis, particularly in various cancers. Multiple cancers, including colorectal, breast, ovarian, and lung cancers, are affected by disruptions in the Wnt/ferroptosis axis, where enhanced Wnt signaling helps cancer cells evade ferroptosis and develop resistance to treatments. Beyond cancer, this axis also plays a crucial role in neurodegenerative diseases and conditions like myocardial infarction. Additionally, natural compounds have shown potential in modulating the Wnt/ferroptosis pathway, offering promising therapeutic approaches for a variety of diseases. This review highlights the molecular mechanisms of the Wnt/ferroptosis axis, paving the way for innovative treatment options in cancer and other diseases.

SENP1 promotes deacetylation of isocitrate dehydrogenase 2 to inhibit ferroptosis of breast cancer via enhancing SIRT3 stability

Breast cancer, one of the most prevalent malignant tumors in women worldwide, is characterized by a poor prognosis and high susceptibility to recurrence and metastasis. Ferroptosis, a lipid peroxide-dependent programed cell death pathway, holds significant potential for breast cancer treatment. Therefore, investigating the regulatory targets and associated mechanisms of ferroptosis is crucial. In this study, we conducted proteomic screening and identified isocitrate dehydrogenase 2 (IDH2) as an important player in breast cancer progression. Our findings were further supported by CCK-8 assays, transwell experiments, and scratch assays, which demonstrated that the elevated expression of IDH2 promotes breast cancer progression. Through both in vitro and in vivo experiments along with the erastin treatment, we discovered that increased expression of IDH2 confers resistance to ferroptosis in breast cancer cells. By employing Western blot analysis, Co-IP techniques, and immunofluorescence staining methods, we elucidated the upstream molecular mechanism involving SENP1-mediated SIRT3 de-SUMOylatase, which enhances IDH2 enzyme activity through deacetylation, thereby regulating cell ferroptosis. In conclusion, our study highlights the role of the SENP1-SIRT3 axis in modulating ferroptosis via IDH2 in breast cancer cells, providing valuable insights for developing targeted therapies aimed at enhancing ferroptosis for improved management of breast cancer.

Cross-Cultural Adaptation and Validation of the Central Sensitization Inventory Into Simplified Chinese

PURPOSE

To translate the Central Sensitization Inventory from English into simplified Chinese (CSI-sC) and test the psychometric properties of the CSI-sC in patients with chronic pain.

DESIGN

A cross-sectional design was used.

METHODS

Cross-cultural adaptation of the CSI-sC was performed following Beaton's guidelines. Using a convenient sampling method, 172 patients with chronic spinal pain and 74 healthy individuals were enrolled. The Visual Analog Scale (VAS), Insomnia Severity Index (ISI), EuroQol Five Dimensions Questionnaire (EQ-5D), and Neck Disability Index (NDI) or Oswestry Disability Index (ODI) were used to measure insomnia, pain, quality of life, and functional status. Associations between CSI-sC with these measures were examined for concurrent and convergent validity assessment. Discriminant validity was confirmed by comparing CSI-sC scores between different groups. Exploratory factor analysis was used for the structural validity assessment. Reliability was assessed by internal consistency and test-retest reliability.

RESULTS

The Cronbach's alpha of the CSI-sC was 0.886. The intra-class correlation coefficient was 0.757. The CSI-sC showed a five-factor structure (57.2% of variances). The CSI-sC was significantly correlated with the ISI (r = 0.625), EQ-5D index (r = -0.363), EQ-5D health score (r = -0.355), VAS (r = 0.290), NDI (r = 0.432) and ODI (r = 0.333). CSI-sC scores were statistically higher in females compared to males (p = .006) and in the patient population compared to healthy controls (p < .001).

CONCLUSIONS

The CSI-sC demonstrated good reliability and validity in chronic spinal pain patients.

CLINICAL IMPLICATIONS

This study offers a good tool for the assessment and identification of central sensitization symptomology in clinical nursing practice, which may help optimize the treatment for patients with chronic pain.

FGFR4 in endocrine resistance: overexpression and estrogen regulation without direct causative role

PURPOSE

Endocrine therapy resistance is the major challenge of managing patients with estrogen receptor positive (ER+) breast cancer. We previously reported frequent overexpression of FGFR4 in endocrine-resistant cell lines and breast cancers that recurred and metastasized following endocrine therapy, suggesting FGFR4 as a potential driver of endocrine resistance. In this study, we investigated the role of FGFR4 in mediating endocrine resistance and explored the therapeutic potential of targeting FGFR4 in advanced breast cancer.

METHODS

A gene expression signature of FGFR4 activity was examined in ER+breast cancer pre- and post-neoadjuvant endocrine therapy and the association between FGFR4 expression and patient survival was examined. A correlation analysis was used to uncover potential regulators of FGFR4 overexpression. To investigate if FGFR4 is necessary to drive endocrine resistance, we tested response to FGFR4 inhibition in long-term estrogen-deprived (LTED) cells and their paired parental cells. Doxycycline inducible FGFR4 overexpression and knockdown cell models were generated to examine if FGFR4 was sufficient to confer endocrine resistance. Finally, we examined response to FGFR4 monotherapy or combination therapy with fulvestrant in breast cancer cell lines to explore the potential of FGFR4 targeted therapy for advanced breast cancer and assessed the importance of PAM50 subtype in response to FGFR4 inhibition.

RESULTS

A FGFR4 activity gene signature was significantly upregulated post-neoadjuvant aromatase inhibitor treatment, and high FGFR4 expression predicted poorer survival in patients with ER+breast cancer. Gene expression association analysis using TCGA, METABRIC, and SCAN-B datasets uncovered ER as the most significant gene negatively correlated with FGFR4 expression. ER negatively regulates FGFR4 expression at both the mRNA and protein level across multiple ER+breast cancer cell lines. Despite robust overexpression of FGFR4, LTED cells did not show enhanced responses to FGFR4 inhibition compared to parental cells. Similarly, FGFR4 overexpression and knockdown did not substantially alter response to endocrine treatment in ER+cell lines, nor did FGFR4 and fulvestrant combination treatment show synergistic effects. The HER2-like subtype of breast cancer showed elevated expression of FGFR4 and an increased response to FGFR4 inhibition relative to other breast cancer subtypes.

CONCLUSIONS

Despite ER-mediated upregulation of FGFR4 post-endocrine therapy, our study does not support a general role of FGFR4 in mediating endocrine resistance in ER+breast cancer. The significant upregulation of FGFR4 expression in treatment-resistant clinical samples and models following endocrine therapy does not necessarily establish a causal link between the gene and treatment response. Our data suggest that specific genomic backgrounds such as HER2 expression may be required for FGFR4 function in breast cancer and should be further explored.

Identification of vitronectin as a potential non-invasive biomarker of metastatic breast cancer using a label-free LC-MS/MS approach

BACKGROUND

Breast cancer (BC) is a complex heterogenous disease that is a leading cause of death in women. For patients with early stage disease following primary BC therapy, approximately 30% will develop metastatic BC (MBC). The median survival of MBC patients is ~ 2-3 yr. While the early detection and monitoring of BC progression have improved prognosis and reduced BC-related mortality, there is a lack of long-term surveillance strategies for monitoring patients for recurrence of MBC. The aim of our study was to identify non-invasive urinary biomarkers for detection and monitoring of MBC.

METHODS

We have conducted a comparative label-free LC-MS/MS analysis of the urinary proteome of patients with MBC and healthy age-matched, sex-matched controls (HC). A hybrid quadrupole time of flight (Q-Tof™) mass spectrometer was used for urine analysis via liquid chromatography (LC) with tandem mass spectrometry (MS/MS). Retrospective analysis of urine samples from MBC and locally invasive breast cancer (IBC) patients as well as HC was conducted. Diagnostic accuracies of candidate markers were validated using independent training and validation sets according to the REMARK criteria.

RESULTS

Using this approach, we have identified 212 urinary proteins of which 83 and 25 were unique to the MBC and HC groups, respectively. Upregulated proteins in the MBC cohort were associated with angiogenesis, Ca2+ homeostasis, apoptosis, proteolysis, extracellular matrix regulation, cell adhesion and protein synthesis pathways. A specific non-invasive metastasis signature comprised of candidate biomarkers (urinary CALB1, S100A8, ZAG, VTN and TN) were validated and analyzed via monospecific ELISA assays. Urinary vitronectin (uVTN) levels correlated with disease status and were significantly higher in samples from MBC compared to those from IBC patients and HC. uVTN alone (cutoff > 500 ng/ml) could discriminate between HC and MBC groups (AUC = 0.782, P < 0.001). Longitudinal analysis of samples from MBC patients indicated a strong correlation between uVTN levels and disease status.

CONCLUSIONS

Our findings suggest that uVTN is a promising and non-invasive biomarker for the diagnosis and monitoring of MBC. While future validation in larger cohorts should be done, these results identify a novel urinary protein that represents the first non-invasive diagnostic test for monitoring BC progression and recurrence.

Targeting metastasis in paediatric bone sarcomas

Paediatric bone sarcomas (e.g. Ewing sarcoma, osteosarcoma) comprise significant biological and clinical heterogeneity. This extreme heterogeneity affects response to systemic therapy, facilitates inherent and acquired drug resistance and possibly underpins the origins of metastatic disease, a key component implicit in cancer related death. Across all cancers, metastatic models have offered competing accounts on when dissemination occurs, either early or late during tumorigenesis, whether metastases at different foci arise independently and directly from the primary tumour or give rise to each other, i.e. metastases-to-metastases dissemination, and whether cell exchange occurs between synchronously growing lesions. Although it is probable that all the above mechanisms can lead to metastatic disease, clinical observations indicate that distinct modes of metastasis might predominate in different cancers. Around 70% of patients with bone sarcoma experience metastasis during their disease course but the fundamental molecular and cell mechanisms underlying spread are equivocal. Newer therapies such as tyrosine kinase inhibitors have shown promise in reducing metastatic relapse in trials, nonetheless, not all patients respond and 5-year overall survival remains at ~ 50%. Better understanding of potential bone sarcoma biological subgroups, the role of the tumour immune microenvironment, factors that promote metastasis and clinical biomarkers of prognosis and drug response are required to make progress. In this review, we provide a comprehensive overview of the approaches to manage paediatric patients with metastatic Ewing sarcoma and osteosarcoma. We describe the molecular basis of the tumour immune microenvironment, cell plasticity, circulating tumour cells and the development of the pre-metastatic niche, all required for successful distant colonisation. Finally, we discuss ongoing and upcoming patient clinical trials, biomarkers and gene regulatory networks amenable to the development of anti-metastasis medicines.

Salmonella enterica mediated epigenetic promotion of fibrosis is a novel factor in benign prostatic hyperplasia

BACKGROUND

Fibrosis constitutes a significant pathophysiological mechanism in the clinical progression of benign prostatic hyperplasia (BPH) and represents a contributing factor to the ineffectiveness of prevailing pharmacological treatments. Emerging evidence suggests a close association between microbial presence and the development of fibrosis. Nonetheless, the potential involvement of microbes within prostatic tissue in the pathogenesis of BPH and prostatic fibrosis, along with the underlying mechanisms, remains unexplored.

METHODS

Utilizing immunohistochemistry and microbial sequencing, we analyzed the microbes of prostate tissues from BPH patients with different degrees of prostate fibrosis and found that Salmonella enterica (S. enterica) was enriched in the high degree of prostate fibrosis. We developed prostate cell and animal models infected with the lipopolysaccharide of S. enterica (S.e-LPS) to assess its impact on prostate fibrosis. To elucidate the underlying functional mechanisms, we employed molecular biology techniques, including RNA degradation assays, N6-methyladenosine (m6A) dot blotting, RNA immunoprecipitation, and m6A immunoprecipitation.

RESULTS

Microbial diversity differed between low- and high-fibrosis groups, with S. enterica showing the highest mean abundance among the four species that differed significantly. S.e-LPS was detected in S. enterica-rich prostate tissue and was found to significantly promote cell proliferation, cell contractility, lipid peroxidation, and the induction of ferroptosis. Animal experiments demonstrated that S.e-LPS infection led to pronounced hyperplasia of the prostatic epithelium, with epithelial thickness increasing to 1.57 times that of the sham group, and collagen fibrosis increasing to 2.84 times that of the sham group, thereby exacerbating prostatic tissue fibrosis in rats. In vitro experiments further revealed that S.e-LPS promoted prostate cell fibrosis by inducing ferroptosis. Mechanistically, it was determined that S.e-LPS regulates ferroptosis via AlkB homolog 5 (ALKBH5)-mediated m6A modification, which affects the stability of glutathione peroxidase 4 (GPX4) mRNA, thereby affecting prostatic fibrosis.

CONCLUSION

The findings of this study suggest that S. enterica promotes prostatic fibrosis through ALKBH5-m6A-GPX4-mediated ferroptosis. This research offers novel insights for the development of new therapeutic targets and personalized strategies for the prevention and treatment of BPH from the perspectives of microbes and epigenetics.

PROS1-MERTK Axis Drives Tumor Microenvironment Crosstalk and Progression in Papillary Thyroid Microcarcinoma

The incidence of papillary thyroid carcinoma (PTC) has been rising annually, with papillary thyroid microcarcinoma (PTMC) accounting for more than half of the cases. While most PTMCs exhibit indolent growth and a favorable prognosis, some undergo clinical progression with poor outcomes. Thus, identifying biomarkers associated with PTC, particularly those related to PTMC progression, is crucial for precise risk stratification and treatment planning. This study utilized single-cell RNA sequencing on 19 surgical tissue specimens from 15 patients, including four para-tumor tissues, four non-progressive PTMCs, five progressive PTMCs, and six progressive PTCs. Key findings are corroborated through in vivo and in vitro experiments. Single-cell RNA sequencing and spatial transcriptomics characterized the cellular ecosystem within PTC, revealing multi-directional evolutionary patterns as PTMC progresses. Analysis of progression-specific alterations in intercellular communication networks highlighted the PROS1-MERTK signaling interaction as pivotal in PTMC progression. In vitro and in vivo models confirm that the PROS1-MERTK axis accelerates PTMC progression via paracrine and autocrine signaling. Furthermore, NFYB and FOXP2 are identified as activators of PROS1 transcription in fibroblasts, promoting PTMC progression through the MERTK/WNT/TGF-β signaling. These findings underscore the PROS1/MERTK axis as a critical component of the cellular microenvironment and a key regulatory mechanism in PTMC progression.

Leveraging multiple cell-death patterns based on machine learning to decipher the prognosis, immune, and immune therapeutic response of soft tissue sarcoma

Soft tissue sarcomas (STS) imposes a substantial healthcare burden on society. The progression of these tumors is significantly influenced by diverse modes of programmed cell death (PCD), which can serve as valuable indicators for assessing prognosis and immune therapeutic response in STS. Nonetheless, the precise role of multiple cell death patterns in STS is yet to be clarified. We employed 96 machine-learning algorithm combination frameworks to identify novel cell death-related signatures (CDSigs) with the highest mean c-index, indicating their excellence. The independence test and comparison with previously published models further confirmed the stability and quality of these signatures for survival prediction in STS. The nomogram, comprising the cell death score (CDS) and clinical features, exhibited excellent predictive performance. Additionally, the CDSigs revealed associations with immune checkpoint genes and the immune microenvironment in STS. Furthermore, the results demonstrated that patients with lower CDS had the potential for greater benefit from immune therapeutic responses compared to those with higher CDS. Moreover, STS patients with low-risk scores exhibited heightened sensitivity to doxorubicin, axitinib, cisplatin, and camptothecin. Finally, the RT-qPCR results underscored significant differences in expression levels of several CDSigs genes between STS and normal cells. Overall, we comprehensively analyzed the multiple PCD in STS and established a novel CDSig for STS patients. This novel CDSig holds great promise in deciphering the prognosis, immune, and immune therapeutic response of STS.

LAG3 as a marker of immune activation in esophageal squamous carcinoma treated with concurrent chemoradiotherapy

INTRODUCTION

Esophageal squamous carcinoma (ESCC) is a common malignant tumor of the gastrointestinal tract with high morbidity and mortality rates. Lymphocyte activation gene-3 (LAG3), an important suppressive immune checkpoint in tumor immunity, exhibits a wobbling effect in the prediction of ESCC efficacy.

METHODS

Tumor bite paraffin-embedded specimens from 84 patients diagnosed with ESCC, all of whom received radical concurrent chemoradiotherapy (CCRT) at our institution, were screened. For each tissue, we delineated the partitions and analyzed the spatial distribution of the tumor in an in situ immune microenvironment. The density and regional characteristics of immune factor-positive cells, together with the dynamics of various cells based on treatment regimens, were considered important factors influencing the prognostic significance of cancer.

RESULTS

Compared with baseline tissues, the density of CD4 + and CD8 + T cells in the tumor microenvironment of the on-treatment tissues decreased, but the expression of IFN-γ in CD4 + and CD8 + T cells increased. The density of LAG3 positive cells was correlated significantly with the density of CD4 + and CD8 + T cells in both baseline and on-treatment tissues. The density of LAG3 + T cells and the rate of LAG3 positivity in activated CD4 + and CD8 + T cells were associated with elevated Ki67 expression. There was a significant correlation between high LAG3 expression and active CD4 + and CD8 + T cells in tumor cells. Elevated densities and tighter spatial relationships of both CD4 + and CD8 + T cells were associated with longer overall survival with ESCC.

CONCLUSION

Concurrent chemoradiotherapy without combined immunotherapy inhibited tumor-infiltrating T cells to a certain extent, and elevated immune checkpoint LAG3 was closely associated with immune activation in the ESCC tumor microenvironment.

The Ferroptosis-Mitochondrial Axis in Depression: Unraveling the Feedforward Loop of Oxidative Stress, Metabolic Homeostasis Dysregulation, and Neuroinflammation

Emerging evidence links ferroptosis-mitochondrial dysregulation to depression pathogenesis through an oxidative stress-energy deficit-neuroinflammation cycle driven by iron overload. This study demonstrates that iron accumulation initiates ferroptosis via Fenton reaction-mediated lipid peroxidation, compromising neuronal membrane integrity and disabling the GPx4 antioxidant system. Concurrent mitochondrial complex I/IV dysfunction impairs ATP synthesis, creating an AMPK/mTOR signaling imbalance and calcium dyshomeostasis that synergistically impair synaptic plasticity. Bidirectional crosstalk emerges: lipid peroxidation derivatives oxidize mitochondrial cardiolipin, while mitochondrial ROS overproduction activates ACSL4 to amplify ferroptotic susceptibility, forming a self-reinforcing neurodegenerative loop. Prefrontal-hippocampal metabolomics reveal paradoxical metabolic reprogramming with glycolytic compensation suppressing mitochondrial biogenesis (via PGC-1α/TFAM downregulation), trapping neurons in bioenergetic crisis. Clinical data further show that microglial M1 polarization through cGAS-STING activation sustains neuroinflammation via IL-6/TNF-α release. We propose a "ferroptosis-mitochondrial fragmentation-metabolic maladaptation" triad as mechanistic subtyping criteria for depression. Preclinical validation shows that combinatorial therapy (iron chelators + SIRT3 agonists) rescues neuronal viability by restoring mitochondrial integrity and energy flux. This work shifts therapeutic paradigms from monoaminergic targets toward multimodal strategies addressing iron homeostasis, organelle dynamics, and metabolic vulnerability-a framework with significant implications for developing neuroprotective antidepressants.

Immune checkpoint inhibitor (ICI) therapy in central nervous system cancers: State-of-the-art and future outlook

Invasive central nervous system (CNS) cancers are an area where the development of breakthrough therapies is urgently needed. For instance, conditions such as glioblastoma multiforme (GBM) are associated with poor clinical prognosis, with the majority of trials offering no improvement to marginally enhanced survival. Unleashing the potential of targeting the immune system in CNS cancers has gained attention in recent years. Inhibition of immune checkpoints such as CTLA-4, PD-1/PD-L1, TIM-3, and LAG-3 has been attempted in recent trials. While potentially offering a notable edge over other immunotherapies, multi-organ adverse events have been found with the administration of immune checkpoint inhibitors (ICIs). The present review captures the state-of-the-art evidence on ICI treatments in different CNS cancers. Also, we discuss the value of combinational therapies involving ICIs as well as next-generation therapeutics such as bispecific antibodies targeting PD-1/LAG-3/TIM-3 and CRISPR-Cas9-edited PD-1-knock-out checkpoint-resistant CAR T-cells.

Mucinous breast cancer organoids: an in vitro research model

BACKGROUND

Pure mucinous breast cancer is an uncommon form of cancer characterized by a low metastatic rate and a generally favorable prognosis. However, some patients may experience lymph node metastasis, leading to a worse prognosis. Currently, there is no reliable in vitro model available to effectively address the heterogeneity of pure mucinous breast cancer.

METHODS

We obtained surgical tumor samples from a 64-year-old Chinese female patient diagnosed with pure mucinous breast cancer to establish patient-derived organoids. Using these organoids, we performed histological staining, drug testing and single-cell RNA-Seq analysis.

RESULTS

We accomplished the establishment of a patient-derived mucinous breast cancer organoid model from a Chinese female. Hematoxylin and eosin staining, along with immunohistochemistry, revealed histology and protein expression (ER, PR, HER2 and Ki-67) at early passages similar to the original breast cancer tissue. Single-cell  RNA sequencing at passage 7 identified 17 cell clusters, which were assigned to three cell types based on marker genes. This showed that most ER-positive luminal cells had been replaced by ER-negative basal-like cells at passage 7. We tested drug sensitivity to five antitumor drugs at passage 5. The organoids showed the highest sensitivity to Epirubicin and the lowest sensitivity to Carboplatin.

CONCLUSIONS

This is the first reported case of a mucinous breast cancer organoid. Our experimental results indicate that this model exhibits similar characteristics to the original tissue at early passages. Organoids at early passages could be a promising tool for clinical drug screening and further scientific research.

T-helper Transcription Factor Profiling in Peripheral Blood Mononuclear Cells: A Non-invasive Approach to Predicting Disease Stage in Breast Cancer

Breast cancer remains a leading cause of mortality among women, highlighting the need for improved diagnostic and treatment approaches. This study aims to analyze the expression levels of key immunologic factors in the peripheral blood mononuclear cell (PBMC) population of breast cancer patients and assess their relationship with various disease characteristics. A total of 48 treatment-naive breast cancer patients were enrolled, with blood samples collected prior to surgery for PBMC isolation. Gene expression of Foxp3, RORγt, GATA3, and T-bet was measured using quantitative real-time PCR. Gene expressions of Foxp3, RORγt, and GATA3 were significantly elevated in breast cancer patients compared to controls. Logistic regression revealed a strong association between elevated RORγt levels and larger tumor sizes. Subgroup analysis indicated that Foxp3 related to lymphovascular invasion (LVI), RORγt correlated with lymph node involvement and tumor size, GATA3 was associated with tumor size alone, and T-bet was linked to disease stage. ROC analysis demonstrated T-bet and Foxp3 as sensitive indicators for disease stage, while RORγt was notable for lymph node involvement. The study indicates that T-helper cell-related transcription factors in PBMCs reflect important clinical characteristics of breast cancer, supporting the role of T cell immune responses in disease progression. PBMCs emerge as a promising and accessible resource for diagnostic information in breast cancer.

Role of ferroptosis in breast cancer: Molecular mechanisms and therapeutic interventions

Ferroptosis, an iron-dependent cell death pathway distinct from apoptosis, is crucial in breast cancer (BC) research, especially for overcoming resistance in triple-negative breast cancer (TNBC). Unlike traditional apoptosis, ferroptosis involves the glutathione (GSH)/glutathione peroxidase 4 (GPX4) axis, iron-driven oxidative reactions, and phospholipid peroxidation. TNBC, characterized by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), is particularly prone to ferroptosis due to acyl-coenzyme A synthetase (ACSL) 4-related lipid changes and solute carrier family 7 member 11 (SLC7A11)-mediated cystine transport. Recent advancements in biomarkers and therapeutic strategies targeting ferroptosis hold significant promise for the diagnosis and prognosis of TNBC. Notable innovations encompass the development of small-molecule compounds and various methodologies designed to enhance ferroptosis. Combination therapies have demonstrated improved antitumor efficacy by counteracting chemotherapy resistance and inducing immunogenic cell death. Nonetheless, challenges persist in optimizing drug delivery mechanisms and minimizing off-target effects. This review underscores the progress in ferroptosis research and proposes precision oncology strategies that exploit metabolic flexibility in BC, intending to transform TNBC treatment and enhance therapeutic outcomes.

CCL2 blockade combined with PD-1/P-selectin immunomodulators impedes breast cancer brain metastasis

Over the last two decades, the diagnosis and treatment of breast cancer patients have improved considerably. However, brain metastases remain a major clinical challenge and a leading cause of mortality. Thus, a better understanding of the pathways involved in the metastatic cascade is essential. To this end, we have investigated the reciprocal effects of astrocytes and breast cancer cells, employing traditional 2D cell culture and our unique 3D multicellular tumouroid models. Our findings revealed that astrocytes enhance the proliferation, migration and invasion of breast cancer cells, suggesting a supportive role for astrocytes in breast cancer outgrowth to the brain. Elucidating the key players in astrocyte-breast cancer cells crosstalk, we found that CCL2 is highly expressed in breast cancer brain metastases tissue sections from both patients and mice. Our in vitro and in vivo models further confirmed that CCL2 has a functional role in brain metastasis. Given their aggressive nature, we sought additional immune checkpoints for rationale combination therapy. Among the promising candidates were the adhesion molecule P-selectin, which we have recently shown to play a key role in the crosstalk with microglia cells and the co-inhibitory receptor PD-1, the main target of currently approved immunotherapies. Finally, combining CCL2 inhibition with immunomodulators targeting either PD-1/PD-L1 or P-selectin/P-Selectin Ligand-1 axes in our human 3D tumouroid models and in vivo presented more favourable outcomes than each monotherapy. Taken together, we propose that CCL2-CCR2/CCR4 is a key pathway promoting breast cancer brain metastases and a promising target for an immunotherapeutic combination approach.

The role of circular RNAs in regulating cytokine signaling in cancer

Dysregulation of cytokine signaling is central to the development and progression of cancer. Cytokines are not only involved in promoting cancer development but also regulate anti-tumor immune responses. Circular RNAs (circRNAs) are single-stranded, covalently closed RNA molecules lacking free ends, which have emerged as critical regulators of cytokine signaling. Transcriptional and post-transcriptional regulation of cytokine signaling by circRNAs contributes to cancer pathogenesis. Here, we discuss the emerging role of circRNAs in modulating cytokine signaling pathways that regulate cancer development. In particular, we examine the role of circRNAs in TGF-β, IL-6, IL-10, TNF-α, VEGF, FGF, PDGF, and chemokine signaling in cancer.

Recent advances in biomarkers for predicting the efficacy of immunotherapy in non-small cell lung cancer

Lung cancer continues to be the primary cause of cancer-related deaths globally, with non-small cell lung cancer (NSCLC) accounting for approximately 85% of all instances. Recently, immune checkpoint inhibitors (ICIs) have transformed the treatment approach for NSCLC, however, only a subset of patients experiences significant benefits. Therefore, identifying reliable biomarkers to forecast the efficacy of ICIs is crucial for ensuring the safety and effectiveness of treatments, becoming a major focus of current research efforts. This review highlights the recent advances in predictive biomarkers for the efficacy of ICIs in the treatment of NSCLC, including PD-L1 expression, tertiary lymphoid structures (TLS), tumor-infiltrating lymphocytes (TILs), tumor genomic alterations, transcriptional signatures, circulating biomarkers, and the microbiome. Furthermore, it underscores the pivotal roles of liquid biopsy, sequencing technologies, and digital pathology in biomarker discovery. Special attention is given to the predictive value of TLS, circulating biomarkers, and transcriptional signatures. The review concludes that the integration of multiple biomarkers holds promise for achieving more accurate efficacy predictions and optimizing personalized immunotherapy strategies. By providing a comprehensive overview of the current progress, this review offers valuable insights into biomarker-based precision medicine for NSCLC and outlines future research directions.

AQP9 weakens the cytotoxicity of CD8+ T cells in colon adenocarcinoma by boosting M2 polarization of macrophages under hypoxia conditions

BACKGROUND

Colon adenocarcinoma (COAD) is a leading cause of cancer mortality, with Aquaporin 9 (AQP9) implicated in its progression. M2 macrophages in the tumor microenvironment (TME) promote cancer metastasis, but the role of AQP9 on M2 macrophages remains unelucidated.

RESEARCH DESIGN AND METHODS

Using COAD cell lines, AQP9 expression was analyzed via RT-qPCR and Western blot (WB). Hypoxic conditions were simulated to assess HIF-1α and AQP9 interactions through ChIP and dual-luciferase assays. AQP9 knockdown effects on proliferation/migration were tested via colony formation and wound healing. M2 macrophage polarization and CD8+ T cell cytotoxicity were evaluated using flow cytometry, ELISA, and IHC in co-culture systems.

RESULTS

AQP9 was upregulated in COAD and correlated with poor prognosis. After AQP9 in COAD cells was knocked down, the abilities of tumor cells to migrate and proliferate were dampened. Hypoxia upregulated HIF-1α, which transcriptionally activated AQP9. Knocking down AQP9 repressed the M2 polarization of macrophages, thereby reinforcing the cytotoxicity of CD8+ T cells. No adverse events were reported in vitro.

CONCLUSION

AQP9 promotes COAD progression by driving HIF-1α-mediated M2 polarization, impairing CD8+ T cell function. Key limitations include the lack of in vivo validation and clinical cohort analysis.

Effect of Intensive Face Yoga on Facial Muscles Tonus, Stiffness, and Elasticity in Middle-Aged Women: A Pre-Experimental Clinical Trial

Background and Objectives: The effects of face yoga, which continues to be popular as an anti-aging technique, on facial muscles in relation to aging represent an area of interest. The aim of this study was to investigate the effect of 8 weeks of intensive face yoga on facial muscles' tonus, stiffness, and elasticity in middle-aged women. Materials and Methods: Twelve female participants with a mean age of 49.75 ± 3.76 were included in this pre-experimental clinical trial. Face yoga was applied to the participants for 8 weeks, 2 days a week face-to-face, and 5 days a week as a home program. At the beginning and the end of 8 weeks, the tonus, stiffness, and elasticity of the participants' facial muscles were evaluated with the Myoton®PRO device. Results: Following the face yoga program, the tonus and stiffness of the frontalis (p = 0.008, p = 0.002), corrugator supercilii (p = 0.008, p = 0.019), orbicularis oculi (p = 0.023, p = 0.034), and orbicularis oris (p = 0.007, p = 0.015) muscles decreased significantly, while the tonus and stiffness of the buccinator (p = 0.008, p = 0.002) and digastric (p = 0.008, p = 0.023) muscles increased. Elasticity values increased in all evaluated facial muscles (p = 0.045, p = 0.045, p = 0.034, p = 0.023, p = 0.028, p = 0.005, respectively). Conclusions: The results reveal that face yoga has different effects depending on the physiological structure and function of the muscles and positively affects connective tissue. Future studies should reproduce the results presented here to further our understanding of the effects of face yoga.

The Role of Cancer Organoids in Ferroptosis, Pyroptosis, and Necroptosis: Functions and Clinical Implications

The enduring prevalence of cancer worldwide constitutes a significant public health challenge, thereby emphasizing the imperative for the development of therapeutic models capable of accounting for the heterogeneity inherent in tumors. In this context, cancer organoids have emerged as powerful tools for studying tumor biology, providing valuable insights into the complex interactions within the tumor microenvironment. Concurrently, research is increasingly focused on non-apoptotic forms of regulated cell death (RCD)-including ferroptosis, pyroptosis, and necroptosis-which exert pivotal influences on cancer development and progression. Cancer organoids not only recapitulate the genetic and phenotypic heterogeneity of the original tumors but also enable more precise investigations into the roles of non-apoptotic RCDs within oncology. This review explores the utility of cancer organoids in delineating the molecular mechanisms underlying RCDs and their implications for cancer biology and treatment responses. By synthesizing recent research findings, it highlights the essential role of organoid models in uncovering the intricate details of non-apoptotic RCDs. Furthermore, it emphasizes promising directions for future research that aim to deepen our understanding of these pathways and their therapeutic potential. The integration of organoid models into investigations of ferroptosis, pyroptosis, and necroptosis provides novel insights into oncogenic mechanisms and facilitates the development of targeted therapeutic strategies. By bridging cancer organoids with human pathophysiology, this approach not only provides a transformative framework for dissecting oncogenic pathways but also enables the design of precision therapeutics that selectively target the molecular machinery underlying non-apoptotic RCDs.

Targeting ncRNAs to overcome metabolic reprogramming‑mediated drug resistance in cancer (Review)

The emergence of resistance to antitumor drugs in cancer cells presents a notable obstacle in cancer therapy. Metabolic reprogramming is characterized by enhanced glycolysis, disrupted lipid metabolism, glutamine dependence and mitochondrial dysfunction. In addition to promoting tumor growth and metastasis, metabolic reprogramming mediates drug resistance through diverse molecular mechanisms, offering novel opportunities for therapeutic intervention. Non‑coding RNAs (ncRNAs), a diverse class of RNA molecules that lack protein‑coding function, represent a notable fraction of the human genome. Due to their distinct expression profiles and multifaceted roles in various cancers, ncRNAs have relevance in cancer pathophysiology. ncRNAs orchestrate metabolic abnormalities associated with drug resistance in cancer cells. The present review provides a comprehensive analysis of the mechanisms by which metabolic reprogramming drives drug resistance, with an emphasis on the regulatory roles of ncRNAs in glycolysis, lipid metabolism, mitochondrial dysfunction and glutamine metabolism. Furthermore, the present review aimed to discuss the potential of ncRNAs as biomarkers for predicting chemotherapy responses, as well as emerging strategies to target ncRNAs that modulate metabolism, particularly in the context of combination therapy with anti‑cancer drugs.

T-cell immunoglobulin and ITIM domain as a target in combo anti-PD-(L)1 cancer therapy

Immunoregulatory roles of T-cell immunoglobulin and ITIM domain (TIGIT) in solid tumors, and its interactions with other checkpoints is a focus of research in cancer immunotherapy. The increased activity of TIGIT/CD155 promotes dendritic cell (DC) tolerance and CD8+ T cell exclusion/energy/exhaustion. Increased TIGIT activity also hampers natural killer (NK) cell function and increases immunosuppressive activity of myeloid-derived suppressor cells (MDSCs) and regulatory T cells (Tregs), with the latter serving as a key cell type to pursue TIGIT regulatory effects in tumor immune ecosystem. Frequent co-expression of TIGIT with programmed death-1 (PD-1) on CD8+ T cells along with the increased TIGIT expression in Tregs after anti-PD-1 therapy, the stimulatory effect of TIGIT+ Tregs on T-cell immunoglobulin and mucin-domain containing-3 (TIM-3), and the inducible effect of anti-programmed death-ligand 1 (PD-L1) on CD155 are all rationalizing a possibility for application of anti-TIGIT as a desired combinatory with anti-PD-(L)1 drugs in cancer immunotherapy. TIGIT can also be a target for development of bispecific antibodies to simultaneously target activities within the TIGIT/CD155 and PD-1/PD-L1 axes or for dual targeting of two inhibitory receptors, such as TIGIT/anti-poliovirus receptor-related immunoglobulin domain-containing protein (PVRIG), with the latter also acting to hamper activation of other inhibitory receptors occurring secondary to the anti-TIGIT therapy.

A Systematic Review of Immune Cell Roles in Breast Cancer Immunotherapy

BACKGROUND

Breast cancer (BC) is the most prevalent malignancy among women and is associated with high mortality and significant clinical challenges. Although conventional treatments such as surgery, chemotherapy, and radiotherapy have significantly improved patient survival, their efficacy remains limited by severe side effects and treatment resistance. In recent years, advances in immunotherapy have underscored the pivotal role of immune cells in treating BC.

RECENT FINDINGS

This systematic review summarizes the current knowledge on the roles of immune cells within the BC tumor microenvironment (TME), including their phenotypes, functions, and implications for immunotherapy. Following PRISMA guidelines, 71 studies published between 2010 and 2024 were analyzed. The results indicate that immune cell populations-such as tumor-associated macrophages (TAMs), tumor-infiltrating lymphocytes (TILs), natural killer (NK) cells, dendritic cells (DCs), and myeloid-derived suppressor cells (MDSCs)-are integral to tumor progression and therapeutic response. However, their functional heterogeneity and plasticity remain key obstacles to the development of effective and personalized immunotherapeutic strategies.

CONCLUSION

Further research is needed to clarify the mechanisms governing immune cell behavior within the BC TME and to advance precision immunotherapy. Such insights will lay the foundation for individualized treatment approaches, ultimately improving patient outcomes and quality of life (QoL).

Mechanistic role of stromal cancer-associated fibroblasts in tumorigenesis and brain metastasis: Highlighting drug resistance and targeted therapy

Brain metastases remain a major clinical challenge due to their high resistance to conventional and targeted therapies. Cancer-associated fibroblasts are the most common cellular component of the brain metastases tumor microenvironment. They significantly impact the tumor microenvironment because they promote cancer cell invasion, enhance metastasis, boost immune evasion, and contribute to drug resistance. We searched the PubMed and Google Scholar databases and included 99 studies to summarize the present review. Based on the searched articles, the present review emphasizes that biomarkers including PDGFR-β, α-SMA, and collagen I can identify metastatic brain cancer-associated fibroblasts, which lead to a poor prognosis and recurrence. In addition, cancer-associated fibroblasts can cause resistance to therapy by modifying the extracellular matrix (e.g., collagen I, fibronectin), secreting growth factors (e.g., TGF-β, HGF, IL-6), causing immunological evasion (e.g., Tregs, MDSCs), secreting exosomes (e.g., miRNAs), metabolic reprogramming, stemness induction, and plasticity. We also describe the molecular mechanisms by which cancer-associated fibroblasts confer drug resistance in brain metastases, such as extracellular matrix restoration, immunological evasion, metabolic reprogramming, etc. We also cover prospective therapeutic options for overcoming medication resistance, such as cancer-associated fibroblasts depletion, paracrine signaling blockage, metabolic inhibitors, and cancer-associated fibroblasts-targeted immunotherapies. Targeting cancer-associated fibroblasts in addition to existing medications may improve cancer treatment efficacy and survival rates for individuals with brain metastases. However, more research is required to better understand their role in metastatic brain tumors.

Acetylated KIAA1429 by TIP60 facilitates metastasis and immune evasion of hepatocellular carcinoma via N6-methyladenosine-KDM5B-mediated regulation of FoxO1

Hepatocellular carcinoma (HCC) is characterized by programmed cell death ligand-1 (PD-L1)-mediated immune escape. This study aimed to elucidate the function and mechanism behind KIAA1429, a component of N6-methyladenosine (m6A) complex, in immune escape of HCC. PD-L1 expression was assessed through immunofluorescence staining, and flow cytometry was used to determine CD8+ T cell percentage. The level of IFN-γ was detected using enzyme-linked immunosorbent assay. Cell proliferation, migration, and invasion were evaluated through CCK-8, colony formation, and Transwell assays, respectively. The m6A modification level was measured using an RNA methylation quantification assay, m6A dot blot, and methylated RNA immunoprecipitation-qPCR. Molecule interaction was validated using RNA pulldown, RNA immunoprecipitation, chromatin immunoprecipitation, and co-immunoprecipitation assays. In vivo HCC growth was evaluated in NOD/SCID mice. We found that TIP60, KIAA1429 and KDM5B were highly expressed in HCC cells, while FoxO1 was poorly expressed. Functionally, TIP60/KIAA1429 silencing inhibited PD-L1-mediated HCC immune evasion, growth, migration, and invasion. Mechanistically, TIP60 led to acetylation of KIAA1429, which promoted KDM5B expression in an m6A-YTHDF1-dependent manner, and subsequently restrained the transcription and expression of FoxO1. Enforcing YTHDF1 expression or depleting FoxO1 expression markedly reversed the suppressive effect of shKIAA1429 on HCC immune evasion, growth, migration, and invasion. Overall, these findings suggest that acetylated KIAA1429-mediated m6A modification endows HCC cells with immune evasion through regulation of KDM5B/FoxO1 axis, which provide a treatment option for HCC by targeting KIAA1429.

pH-responsive nano-vaccine combined with anti-PD-1 antibodies for enhanced immunotherapy of breast cancer

Objective: This study aimed to investigate the therapeutic potential and underlying mechanisms of a novel pH-responsive nano-vaccine in combination with anti-Programmed Cell Death Protein 1 (PD-1) antibodies for the treatment of breast cancer (BC), with a focus on tumor growth inhibition, metastasis prevention, and immune microenvironment modulation. Methods: A pH-responsive amphiphilic diblock copolymer was synthesized using reversible addition-fragmentation chain transfer (RAFT) polymerization and conjugated with STING agonist ADU-S100 and mannose to specifically target dendritic cells (DCs). The nano-vaccine was further formulated with antigen peptides and polyethyleneimine (PEI) to enhance antigen delivery. Its particle size, stability, and surface charge were characterized using dynamic light scattering (DLS) and zeta potential analysis. In vitro, the immunostimulatory capacity of the nano-vaccine was evaluated via flow cytometry (FCM) analysis of DC activation markers. In vivo, mouse immune and tumor recurrence models were used to assess the its effects on T-cell activation, tumor suppression, and immune memory induction. The therapeutic efficacy of nano-vaccine/anti-PD-1 combination therapy was further assessed. Results: The nano-vaccine efficiently activated DCs and promoted antigen presentation, as indicated by increased CD80, CD86, and MHC-II expression in vitro. In mouse models, it effectively inhibited tumor growth, induced antigen-specific T-cell responses, and suppressed recurrent and metastatic tumor progression. The combination with anti-PD-1 antibodies further enhanced tumor control, immune cell infiltration, and survival rates compared to monotherapy. Conclusion: The pH-responsive nano-vaccine combined with anti-PD-1 antibodies showed remarkable synergistic effects in BC treatment, highlighting its potential to enhance immune checkpoint blockade therapy and offer a promising strategy for clinical applications in solid tumors.

Expression of the TIGIT axis and the CD39/CD73 purinergic pathway in bone metastasis-derived immune cells

BACKGROUND

Bone metastases (BM) represent one of the most common sites of metastasis. The study aimed to compare the composition of immune cell infiltration from aspirates of different BM prior to systemic therapy.

METHOD

Phenotypic and functional analyses were conducted via multiparametric flow cytometry (MFC) on BM-derived aspirates obtained from patients with breast cancer (BC, n = 6), patients with prostate cancer (PC, n = 5), patients with non-small-cell lung cancer (NSCLC) (n = 7), patients with myeloma (MM, n = 10) and bone aspirates from age-matched non-malignant controls (NMC, n = 10).

RESULTS

Across all tumors aspirates the fraction of CD8+ T cells was reduced. In contrast, infiltration by immunosuppressive CD56+CD16-NK and CD163+CD86+ M2-like macrophages was increased in BM compared to NMC aspirates. BM-derived CD8+ T cells aberrantly co-expressed TIGIT with PVRIG or CD39. Similarly, BM-derived cytotoxic NK cells co-expressed TIGIT and PVRIG. In addition, BM-derived M2-like macrophages exhibited an increased subset of cells co-expressing either TIGIT and PVRL4 or CD112 and CD155. Using a myeloma model, functional in vitro studies showed that blockade of TIGIT and CD39 leads to increased PBMC-mediated lysis of myeloma cells.

CONCLUSION

The study shows that an altered immune cell composition is present in BM across the different tumor entities. Additionally, molecules of the TIGIT checkpoint as well as of the purinergic pathway are aberrantly expressed by BM-infiltrating CD8+ T cells, NK cells and macrophages and also functionally relevant for tumor cell lysis.

Options for postoperative radiation therapy in patients with de novo metastatic breast cancer

BACKGROUND

Although meta-analyses have demonstrated survival benefits associated with primary tumor resection in MBC, guidelines lack consensus on the survival benefit of postoperative radiation therapy (RT).

METHODS

In this study, we included 1392 patients with de novo metastatic breast cancer (dnMBC) by integrating data from the SEER database (2010-2019) to systematically assess the efficacy of postoperative RT and develop a machine learning-driven prognostic tool. The primary endpoint was overall survival (OS).

RESULTS

Propensity score matching (PSM) results showed that postoperative RT significantly improved OS (HR = 0.573, 95 % CI = 0.475-0.693), but this survival gain showed great heterogeneity among different subgroups. It is found that patients with HR-/HER2-or HR+/HER2-subtypes gained significant OS benefit from (p < 0.001) postoperative RT, whereas patients with HER2+ subtype did not gain any survival benefit since the effect of targeted therapy overshadowed the postoperative RT. Further risk stratification by the random survival forest (RSF) model revealed that high-risk patients with T4/N3 stage, high tumor grade and poor response to chemotherapy had significantly prolonged OS after receiving RT (p < 0.001), while low-risk patients showed no additional benefit. The model had excellent predictive efficacy (training set C-index = 0.741, validation set C-index = 0.720) with key predictors including HER2 status, chemotherapy response and tumor grade. The research team developed an interactive web application (https://lee2287171854.shinyapps.io/RSFshiny/) based on this model, which can generate individualized survival risk scores in real-time to guide clinical decision-making.

CONCLUSION

This study is the first to propose a risk stratification strategy for postoperative RT in dnMBC, and innovatively integrates machine learning and clinical tools to provide a new paradigm for optimizing precision therapy.

PAK5 promotes the trastuzumab resistance by increasing HER2 nuclear accumulation in HER2-positive breast cancer

Nuclear HER2 (N-HER2) predicts resistance to HER2-targeted therapy and poor prognosis of breast cancer patients, and the underlying mechanisms remain unclear. Here, we show that high expression of p21-activated kinase 5 (PAK5) is associated with HER2-targeted therapy resistance and poor outcomes of breast cancer patients. Excitingly, we find an increase in N-HER2 protein expression in patients with high PAK5 expression, who demonstrate resistance to trastuzumab treatment. PAK5 phosphorylates methyltransferase METTL14 on serine 399 to enhance m6A modification of lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), leading to increased MALAT1 stability. The stabilized MALAT1 inhibits ubiquitin-proteasomal degradation of the N-HER2 by affecting the interaction of deubiquitinase USP8 and N-HER2, thereby promoting N-HER2 accumulation. Moreover, HER2 upregulates the expression of PAK5 and MALAT1, activating the HER2-MALAT1 positive feedback loop. Importantly, PAK5 promotes the therapeutic resistance of HER2-positive breast cancer cells by increasing N-HER2 protein both in vitro and vivo. These findings highlight PAK5 as a therapeutic target for combating trastuzumab resistance in HER2-positive breast cancer.

Biological profile of breast cancer brain metastasis

Breast cancer is one of the leading causes of death worldwide. The aggressive behaviour of breast tumor results from their metastasis. Notably, the brain tissue is one of the common regions of metastasis, thereby reducing the overall survival of patients. Moreover, the metastatic tumors demonstrate poor response or resistance to therapies. In addition, breast cancer brain metastasis provides the poor prognosis of patients. Therefore, it is of importance to understand the mechanisms in breast cancer brain metastasis. Both cell lines and animal models have been developed for the evaluation of breast cancer brain metastasis. Moreover, different tumor microenvironment components and other factors such as lymphocytes and astrocytes can affect brain metastasis. The breast cancer cells can disrupt the blood-brain barrier (BBB) during their metastasis into brain, developing blood-tumor barrier to enhance carcinogenesis. The breast cancer brain metastasis can be increased by the dysregulation of chemokines, STAT3, Wnt, Notch and PI3K/Akt. On the other hand, the effective therapeutics have been developed for the brain metastasis such as introduction of nanoparticles. Moreover, the disruption of BBB by ultrasound can increase the entrance of bioactive compounds to the brain tissue. In order to improve specificity and selectivity, the nanoparticles for the delivery of therapeutics and crossing over BBB have been developed to suppress breast cancer brain metastasis.

Spatial multi-omics profiling of breast cancer oligo-recurrent lung metastasis

Primary breast cancer (BC) and metastatic tumors exhibit distinct tumor microenvironment (TME) ecosystems, and the heterogeneity of the TME of BC poses challenges to effective therapies. Evaluating the TME at the single-cell and spatial profiles offers potential for more precise treatments. However, due to the challenge of obtaining surgical specimens of both primary BC and oligo-recurrent lung metastasis simultaneously for high-resolution spatial analysis, the TME of lung-specific metastases using paired samples remains largely unexplored. In this study, we developed a comprehensive strategy using imaging mass cytometry (IMC), spatial proteomics, single-nucleus RNA-seq (snRNA-seq) and multiplex immunofluorescence to explore the spatial topology of lung-specific metastasis and the underlying biological mechanisms based on formalin-fixed paraffin-embedded (FFPE) samples from BC and paired lung metastasis. A total of 250,600 high-quality cells with spatial information revealed by IMC depicted the spatial differences in the TME between BC and lung metastasis. A significant increase in HLA-DR+ epithelial cells, endothelial cells and exhausted T cells was detected in lung metastases compared to primary sites, with this difference accentuated in the triple-negative subtype. Moreover, a distinct cellular hub comprising endothelial cells and HLA-DR+ epithelial cells implies the potential promising effect of anti-angiogenic therapy and immunotherapy in BC with lung metastasis, which was further validated by multiplex immunofluorescence analysis. Spatial proteomics further explored the underlying mechanism of TME components identified by IMC analysis. snRNA-seq validated the enrichment of endothelial cells in lung metastasis than that in BC at a whole FFPE slide level. In conclusion, this study determines the spatial multi-omics profiling of TME components at a single-cell resolution using paired samples of primary BC and lung oligo-metastasis. The comprehensive analysis may contribute to the development of therapeutic options.

Fibroblast growth factor receptor four inhibitor FGF401 improves the efficacy of trastuzumab in FGFR4-overexpressing breast cancer cells

Breast cancer is the most common cancer among women. Among them, human epidermal growth factor receptor-positive (HER2+) breast cancer is more malignant. Fortunately, many anti-HER2 drugs are currently used in clinical treatments to increase patient survival. However, some HER2+ patients (~15%) still develop drug resistance after receiving trastuzumab treatment, leading to treatment failure. Using CCLE and METABRIC database analyses, we found that fibroblast growth factor receptor 4 (FGFR4) mRNA was highly detected in tumors from HER2+ breast cancer patients (p < .001) and was associated with poorer survival in breast cancer patients. Through retrospective immunohistochemical staining analysis, we detected higher expression of FGFR4 protein in breast cancer tissues collected from patients who were resistant to trastuzumab therapy compared with breast cancer patients who responded to treatment. An FGFR4 inhibitor (FGF401) effectively inhibits tumor growth in trastuzumab-insensitive patient-derived xenograft (PDX) tumor-bearing mice. For molecular mechanism studies, we demonstrated that HER2/FGFR4 protein complexes were detected on the cell membrane of the tumor tissues in these trastuzumab-insensitive PDX tumor tissues. After trastuzumab treatment in these drug-resistant breast cancer cells, FGFR4 translocates and enters the nucleus. However, trastuzumab-induced nuclear translocation of FGFR4/HER2-intracellular domain protein complex in trastuzumab-resistant cancer cells is blocked by FGF401 treatment. We believe that FGFR4 overexpression and complex formation with HER2 can serve as molecular markers to assist clinicians in identifying trastuzumab-resistant tumors. Our results suggest that FGF401 combined with trastuzumab as adjuvant therapy for patients with trastuzumab-resistant breast cancer may be a potential new treatment strategy.

Targeting kinases that regulate programmed cell death: a new therapeutic strategy for breast cancer

Breast cancer is one of the most prevalent malignant tumors among women and ranks as the second leading cause of cancer-related deaths in females, primarily due to delays in diagnosis and shortcomings in treatment strategies. Consequently, there is a pressing need to identify reliable therapeutic targets and strategies. In recent years, the identification of effective biomarkers-particularly novel molecular therapeutic targets-has become a focal point in breast cancer research, aimed at predicting disease aggressiveness and monitoring treatment responses. Simultaneously, advancements in understanding the molecular mechanisms underlying cellular programmed death have opened new avenues for targeting kinase-regulated programmed cell death as a viable therapeutic strategy. This review summarizes the latest research progress regarding kinase-regulated programmed death (including apoptosis, pyroptosis, autophagy, necroptosis, and ferroptosis) in breast cancer treatment. It covers the key kinases involved in this mechanism, their roles in the onset and progression of breast cancer, and strategies for modulating these kinases through pharmacological interventions.

Exploring the tumor microenvironment of breast cancer to develop a prognostic model and predict immunotherapy responses

Breast cancer is the most prevalent malignancy in women and exhibits significant heterogeneity. The tumor microenvironment (TME) plays a critical role in tumorigenesis, progression, and response to therapy. However, its impact on the prognosis and immunotherapy responses is incompletely understood. Using public databases, we conducted a comprehensive investigation of transcriptome and single-cell sequencing data. After performing immune infiltration analysis, we conducted consensus clustering, weighted gene co-expression network analysis (WGCNA), Cox regression, and least absolute shrinkage and selection operator (Lasso) regression to identify independent prognostic genes in breast cancer. Subsequently, we developed a prognostic model for patients with breast cancer. Tumor Immune Dysfunction and Exclusion (TIDE) values were used to assess patient's responsiveness to breast cancer. Based on single-cell RNA-sequencing data, we identified various cell types through cluster analysis and investigated the expression of prognostic model genes in each cell type. The drug sensitivity of targeted therapeutic agents for breast cancer treatment was analyzed in different cell types. We identified 12 independent prognostic genes associated with breast cancer and used these genes to construct a prognostic model. The prognostic model accurately discriminated between patients classified as high- and low-risk, providing precise prognostic predictions for individual patients. Additionally, our model exhibited a robust capacity to predict the immunotherapeutic response in breast cancer patients. Our investigation revealed a notable association between the proportion of endothelial cells (ECs) and patient prognosis in breast cancer. A prognostic model for breast cancer was formulated that showed close associations between prognosis and response to immunotherapy. For patients predicted by our model to not respond effectively to immunotherapeutic agents, it may be considered to combine immunotherapeutic agents with targeted therapeutic agents identified through our drug sensitivity analysis, which could potentially enhance treatment efficacy.

Identification of novel metabolism-related biomarkers of Kawasaki disease by integrating single-cell RNA sequencing analysis and machine learning algorithms

Background

The bile acid metabolism (BAM) and fatty acid metabolism (FAM) have been implicated in Kawasaki disease (KD), but their precise mechanisms remain unclear. Identifying signature cells and genes related to BAM and FAM could offer a deeper understanding of their role in the pathogenesis of KD.

Method

We analyzed the public single-cell RNA sequencing (scRNA-seq) dataset GSE1687323 to characterize the immune cell-type landscape in KD. Gene sets related to BAM and FAM were collected from the Gene Set Enrichment Analysis (GSEA) database and previous literature. We analyzed the cellular heterogeneity of BAM and FAM at the single-cell level using R packages. Through differential expressed genes (DEG) analysis, high-dimensional Weighted Correlation Network Analysis (hdWGCNA) and machine learning algorithms, we identified signature genes associated with both BAM and FAM. The cellular expression patterns of signature genes were further validated using our own scRNA-seq dataset. Finally, quantitative real-time PCR (qRT-PCR) was performed to validate the expression levels of signature genes in KD, and Receiver Operating Characteristic (ROC) curve analysis was conducted to evaluate their diagnostic potential.

Results

Enhanced BAM and FAM were detected in monocytes and natural killer (NK) cells from KD in the public scRNA-seq dataset. Our scRNA-seq data confirmed the signature genes identified by machine learning algorithms: Vimentin (VIM) and chloride intracellular channel 1 (CLIC1) were upregulated in monocytes, while integrin subunit beta 2 (ITGB2) was elevated in NK cells of KD. qRT-PCR results also validated the bioinformatic analysis. Moreover, these genes demonstrated significant diagnostic potential. In the training dataset (GSE68004), the area under the curve (AUC) values and 95% CI were as follows: VIM: 0.914 (0.863-0.966), ITGB2: 0.958 (0.925-0.991), and CLIC1: 0.985 (0.969-1). The validation dataset (GSE73461) yielded similarly robust results, with AUC values and 95% CI: VIM: 0.872 (0.811-0.934), ITGB2: 0.861 (0.795-0.928), and CLIC1: 0.893 (0.837-0.948).

Conclusion

This study successfully identified and validated VIM and CLIC1 in monocytes, as well as ITGB2 in NK cells, as novel metabolism-related genes in KD. These findings suggest that BAM and FAM may play crucial roles in KD pathogenesis. Furthermore, these signature genes hold promising potential as diagnostic biomarkers for KD.

CircSCD1 inhibits ferroptosis in breast Cancer through stabilizing SCD1 protein via deubiquitinase OTUB1

Breast cancer is the leading cause of cancer-related death in women worldwide, and its developmental mechanisms involve complex factors. Recent studies have shown that ferroptosis is closely related to the occurrence and progression of breast cancer. However, the role of circular RNAs (circRNAs) in regulating ferroptosis in breast cancer remains unclear. In this study, we investigated the regulatory role of circSCD1 (hsa_circ_0019512) in breast cancer. We examined the expression of circSCD1 in breast cancer cell lines and explored its impact on cell viability and colony formation. We also evaluated the involvement of circSCD1 in ferroptosis by measuring the levels of malondialdehyde (MDA), glutathione (GSH), reactive oxygen species (ROS), and intracellular iron. In vivo xenograft experiments were performed to confirm the role of circSCD1 in promoting tumor growth and inhibiting ferroptosis.Furthermore, we investigated the mechanism by which circSCD1 regulates SCD1 protein stability through ubiquitination and identified the interaction between circSCD1 and the deubiquitinase OTUB1. Our results showed that circSCD1 was upregulated in breast cancer cell lines and promoted cell viability and colony formation. Knockdown of circSCD1 increased MDA and ROS levels, decreased GSH levels, and enhanced ferroptosis in breast cancer cells. In vivo, circSCD1 knockdown significantly reduced tumor size and weight, while its overexpression enhanced tumor growth. Mechanistically, circSCD1 interacted with OTUB1 to inhibit the ubiquitination and degradation of SCD1 protein, thereby stabilizing its expression. Rescue experiments demonstrated that SCD1 overexpression partially reversed the effects of circSCD1 knockdown on cell proliferation and ferroptosis. Our findings suggest that circSCD1 plays a crucial role in promoting breast cancer cell growth and inhibiting ferroptosis by regulating SCD1 protein stability. Targeting the circSCD1/OTUB1/SCD1 axis may provide a potential therapeutic strategy for breast cancer treatment.

Summary of the mechanism of ferroptosis regulated by m6A modification in cancer progression

The most common form of internal RNA modification in eukaryotes is called n6-methyladenosine (m6A) methylation. It has become more and more well-known as a research issue in recent years since it alters RNA metabolism and is involved in numerous biological processes. Currently, m6A alteration offers new opportunities in clinical applications and is intimately linked to carcinogenesis. Ferroptosis-a form of iron-dependent, lipid peroxidation-induced regulated cell death-was discovered. In the development of cancer, it has become an important factor. According to newly available data, ferroptosis regulates tumor growth, and cancer exhibits aberrant m6A levels in crucial ferroptosis regulatory components. On the other hand, m6A has multiple roles in the development of tumors, and the relationship between m6A-modified ferroptosis and malignancies is quite intricate. In this review, we first give a thorough review of the regulatory and functional roles of m6A methylation, focusing on the molecular processes of m6A through the regulation of ferroptosis in human cancer progression and metastasis, which are strongly associated to cancer initiation, progression, and drug resistance. Therefore, it is crucial to clarify the relationship between m6A-mediated regulation of ferroptosis in cancer progression, providing a new strategy for cancer treatment with substantial clinical implications.

Identification of N6-methyladenosine-associated ferroptosis biomarkers in cervical cancer

BACKGROUND

Cervical cancer (CC) stands as a major contributor to female mortality. The pathogenesis of CC is linked with various factors. Our research aimed to unravel the underlying mechanisms of ferroptosis and m6A RNA methylation in CC through bioinformatics analysis.

METHODS

Three CC datasets, including GSE9750, GSE63514, and TCGA-CESC, were incorporated. m6A-related genes were derived from published sources, while ferroptosis-related genes were obtained from the FerrDb database. Differential expression and correlation analyses were performed to identify differentially expressed m6A-related ferroptosis genes (DE-MRFGs) in CC. Subsequently, the biomarkers were further identified using machine learning techniques. Gene Set Enrichment Analysis (GSEA) and Kaplan-Meier (KM) survival analysis were also performed to comprehend these biomarkers. Furthermore, a competing endogenous RNAs (ceRNA) network involving biomarkers was established. Finally, biomarkers expression were verified by real-time quantitative polymerase chain reaction (RT-qPCR).

RESULTS

From the DE-MRFGs, six genes, including ALOX12, EZH2, CA9, CDCA3, CDC25A, HSPB1, were selected. A nomogram constructed based on these biomarkers exhibited potential clinical diagnostic value for CC, with good diagnostic accuracy confirmed through calibration curves. GSEA unveiled associations of these biomarkers with cell proliferation, spliceosome, and base excision repair. KM survival analysis demonstrated significant differences in survival outcomes between high and low expressions of HSPB1, EZH2, and CA9 samples. A ceRNA network was constructed involving three biomarkers, such as CDC25A, CDCA3, and EZH2, 29 miRNAs, and 25 lncRNAs. In RT-qPCR verification, the expression of ALOX12, EZH2 and CDC25A was significantly higher in CC samples, while HSPB1 expression was higher in control samples.

CONCLUSION

Six genes, namely ALOX12, EZH2, CA9, CDCA3, CDC25A, and HSPB1, were identified as m6A-regulated ferroptosis biomarkers in CC. These findings offer valuable insights into disease pathogenesis and hold promise for advancing CC treatment and prognosis.

Research progress and application status of organoid in breast cancer subtypes

Breast cancer (BC) is a prevalent malignant tumor that poses a significant health risk to women. The complexity of basic BC research and clinical treatment is influenced by multiple factors, including age, fertility, hormone metabolism, molecular subtypes, and tumor grading and staging. Traditional in vitro models often fall short of meeting modern research demands, whereas organoids-an emerging 3D primary culture technology-offer a unique platform that better replicates the tumor microenvironment (TME). Coupled with advances in high-throughput sequencing technologies, organoids have become increasingly valuable in biological and chemical research. Currently, the most widely used organoid model in BC research is the patient-derived organoid (PDO) model, which is generated directly from original tumor tissues. This paper aims to summarize the current status of PDO models across various BC subtypes, highlighting recent advances in genetics, mechanisms of drug resistance, identification of new therapeutic targets, and approaches to personalized treatment. In conclusion, the development of clinical precision medicine urgently requires in vitro models capable of accurately simulating the unique molecular subtypes of patients. This review will examine the challenges and future prospects of organoid models in BC research, offering new insights into the fundamental mechanisms of BC and paving the way for more effective personalized therapies.

Single-cell and spatial genomic landscape of non-small cell lung cancer brain metastases

Brain metastases frequently develop in patients with non-small cell lung cancer (NSCLC) and are a common cause of cancer-related deaths, yet our understanding of the underlying human biology is limited. Here we performed multimodal single-nucleus RNA and T cell receptor, single-cell spatial and whole-genome sequencing of brain metastases and primary tumors of patients with treatment-naive NSCLC. Chromosomal instability (CIN) is a distinguishing genomic feature of brain metastases compared with primary tumors, which we validated through integrated analysis of molecular profiling and clinical data in 4,869 independent patients, and a new cohort of 12,275 patients with NSCLC. Unbiased analyses revealed transcriptional neural-like programs that strongly enriched in cancer cells from brain metastases, including a recurring, CINhigh cell subpopulation that preexists in primary tumors but strongly enriched in brain metastases, which was also recovered in matched single-cell spatial transcriptomics. Using multiplexed immunofluorescence in an independent cohort of treatment-naive pairs of primary tumors and brain metastases from the same patients with NSCLC, we validated genomic and tumor-microenvironmental findings and identified a cancer cell population characterized by neural features strongly enriched in brain metastases. This comprehensive analysis provides insights into human NSCLC brain metastasis biology and serves as an important resource for additional discovery.

Single-cell atlas profiling revealed cellular characteristics and dynamic changes after PD-1 blockade therapy of brain metastases from laryngeal squamous cell carcinoma

Brain metastasis (BM) in laryngeal squamous cell carcinoma (LSCC) is uncommon but prognosis is poor. Anti-PD-1 immunotherapy benefits some advanced LSCC cases, yet its efficiency is limited by tumor complexity. We analyzed paired metastatic tumor samples from before and after immunotherapy using single-cell RNA sequencing (scRNA-seq), along with a primary LSCC dataset and bulk RNA sequencing. This identified changes post-immunotherapy and revealed differences in single-cell transcriptomes among LSCC, primBM, and neoBM. Our findings show that anti-PD-1 treatment suppresses metastasis-promoting pathways like VEGF and EMT in cancer cells, and alters immune cell functions. Notably, it upregulates T cell activation, leading to CD8 T cell exhaustion from excess heat shock proteins, notably HSPA8. However, CD8 T cell cytotoxic functions improve post-treatment. In myeloid cells, anti-PD-1 therapy enhances antigen presentation and promotes a proinflammatory shift post-metastasis. Additionally, NUPR1 is linked to BM in LSCC, and NEAT1 is a potential metastatic cancer cell cycle participant. Our study provides insights into cancer heterogeneity and the impact of PD-1 immunotherapy on metastasis, aiding precise diagnosis and prognosis.

Postural asymmetry in low back pain - a systematic review and meta-analysis of observational studies

PURPOSE

Systematic review and meta-analysis to examine common static postural parameters between participants with and without low back pain (LBP).

METHODS

Systematic search on the PubMed, CINAHL, Embase and SCOPUS databases using keywords 'posture' and 'low back pain'. Observational studies comparing static postural outcomes (e.g. lumbar lordosis) between participants with and without LBP were included. Two independent reviewers conducted screening, data extraction and quality assessment. Methodological quality was assessed using Joanna Briggs Institute's critical appraisal tools.

RESULTS

Studies included in review = 46 (5,097 LBP; 6,974 controls); meta-analysis = 36 (3,617 LBP; 4,323 controls). Quality of included studies was mixed. Pelvic tilt was statistically significantly higher in participants with LBP compared to controls (n = 23; 2,540 LBP; 3,090 controls; SMD:0.23, 95%CI:0.10,0.35, p < 0.01, I2=72%). Lumbar lordosis and sacral slope may be lower in participants with LBP; pelvic incidence may be higher in this group; both were not statistically significant and the between study heterogeneity was high. Thoracic kyphosis and leg length discrepancy showed no difference between groups.

CONCLUSIONS

Lumbopelvic mechanisms may be altered in people with LBP, but no firm conclusions could be made. Pelvic tilt appeared to be increased in participants with LBP. Postural variable measurement needs standardisation. Better reporting of study characteristics is warranted.

Prognostic value of preoperative modified Glasgow prognostic score in predicting overall survival in breast cancer patients: A retrospective cohort study

The modified Glasgow prognostic score (mGPS), based on C-reactive protein and albumin levels, is an inflammation-based prognostic tool used in various cancers. However, related research in breast cancer is limited. The present study evaluated the prognostic value of the preoperative mGPS in predicting overall survival (OS) of patients with breast cancer undergoing surgery. A retrospective cohort study was conducted involving 300 patients with breast cancer with up to 10 years of follow-up. Patients were categorized into three groups based on mGPS scores of 0, 1 and 2, and their clinical and pathological data were collected. Kaplan-Meier survival analysis and Cox proportional hazards models were used to assess survival outcomes and identify risk factors associated with higher mGPS scores. A prognostic nomogram was developed based on multivariate analysis to predict 5- and 10-year OS. Patients with high mGPS scores showed significantly poor survival outcomes. The 5- and 10-year survival rates for mGPS 0, 1 and 2 were 80, 70 and 55%, and 71, 55 and 22%, respectively (P<0.001). Multivariate Cox analysis identified the mGPS, age, smoking, PAM50 and TNM stage as independent predictors of OS. The nomogram based on the mGPS demonstrated good predictive accuracy (concordance index: 0.81) and calibration. The preoperative mGPS is an independent prognostic factor for OS of patients with breast cancer. It is a simple, cost-effective tool that can aid in risk stratification and guide treatment strategies. Further validation in larger cohorts is recommended.

METTL3/IGF2BP1 promotes the development of triple-negative breast cancer by mediating m6A methylation modification of PRMT7

BACKGROUND

PRMT7 is upregulated in breast cancer and promotes tumor metastasis. Here we aimed to explore the function and mechanism of PRMT7 in triple-negative breast cancer (TNBC).

METHODS

The expression of PRMT7, METTL3 and IGF2BP1 was detected by immunohistochemistry (IHC), qRT-PCR and western blot. Cell viability and proliferation were measured using MTT and EdU assay. Flow cytometry and TUNEL assays were used to evaluate apoptosis. Invasion and migration were assessed by transwell and wound healing assays, respectively. Glucose consumption and lactate production were measured to assess glycolysis. In addition, the interaction between METTL3 and PRMT was verified by methylated RNA immunoprecipitation. The roles of METTL3 and PRMT in vivo were investigated through a xenograft model.

RESULTS

PRMT7 was upregulated in TNBC tissues and cells, and the knockdown of PRMT7 inhibited cell proliferation, invasion, migration and glycolysis, but induced apoptosis in TNBC cells. METTL3/IGF2BP1 enhanced PRMT7 expression by mediating the m6A methylation modification of PRMT7. Besides, METTL3 knockdown suppressed the progression of TNBC cells and regulated the WNT/β-catenin pathway via PRMT7. Moreover, silencing METTL3 restrained TNBC tumor growth in vivo through regulating PRMT7.

CONCLUSION

METTL3/IGF2BP1 facilitates the progression of TNBC by mediating m6A methylation modification of PRMT7.