Emerging role of PES1 in disease: A promising therapeutic target?

Pescadillo ribosomal biogenesis factor 1 (PES1), a nucleolar protein initially identified in zebrafish, plays an important role in embryonic development and ribosomal biogenesis. Notably, PES1 has been found to be overexpressed in a number of cancer types, where it contributes to tumorigenesis and cancer progression by promoting cell proliferation, suppressing cellular senescence, modulating the tumor microenvironment (TME) and promoting drug resistance in cancer cells. Moreover, recent emerging evidence suggests that PES1 expression is significantly elevated in the livers of Type 2 diabetes mellitus (T2DM) and obese patients, indicating its involvement in the pathogenesis of metabolic diseases through lipid metabolism regulation. In this review, we present the structural characteristics and biological functions of PES1, as well as complexes in which PES1 participates. Furthermore, we comprehensively summarize the multifaceted role of PES1 in various diseases and the latest insights into its underlying molecular mechanisms. Finally, we discuss the potential clinical translational perspectives of targeting PES1, highlighting its promising as a therapeutic intervention and treatment target.

DNA nanotechnology for cell-free DNA marker for tumor detection: a comprehensive overview.

Advancements in DNA nanotechnology have led to new exciting ways to detect cell-free tumor biomarkers, revolutionizing cancer diagnostics. This article comprehensively reviews recent developments in this field, discussing the significance of liquid biopsies and DNA nanomachines in early cancer detection. The accuracy of cancer diagnosis at its early stages is expected to be significantly improved by identifying biomarkers. Liquid biopsies, offering minimally-invasive testing, hold the potential for capturing tumor-specific components like circulating tumor cells, cell-free DNA, and exosomes. DNA nanomachines are advanced molecular devices that exploit the programmability of DNA sequences for the ultrasensitive and specific detection of these markers. DNA nanomachines, nanostructures made of DNA that can be designable and switchable nanostructures, have a wide range of advantages for detecting tumor biomarkers, including non-invasiveness, affordability, high sensitivity, and specificity. Scientists also work on dealing with challenges like low marker concentrations and interference, which are addressed through microfluidic integration, nanomaterial amplification, and indirect signal detection. Despite advances, multiplex detection remains a challenge. In conclusion, DNA nanomachines bear immense promise for cancer diagnostics, advocating personalized treatment and improving patient outcomes. Continued research could redefine how we find and treat tumors, leading to better patient outcomes.

Unlocking the potential of extracellular vesicle circRNAs in breast cancer: From molecular mechanisms to therapeutic horizons.

Breast cancer remains the leading cause of cancer-related morbidity and mortality among women worldwide, underscoring the urgent need for novel diagnostic and therapeutic strategies. This review explores the emerging roles of circular RNAs (circRNAs) within extracellular vesicles (exosomes) in breast cancer. circRNAs, known for their stability and tissue-specific expression, are aberrantly expressed in breast cancer and regulate critical cellular processes such as proliferation, migration, and apoptosis, positioning them as promising biomarkers. Exosomes facilitate intercellular communication by delivering circRNAs, reflecting the physiological and pathological state of their source cells. This review highlights the multifaceted roles of exosomal circRNAs in promoting tumor growth, metastasis, and drug resistance through their modulation of tumor metabolism, the tumor microenvironment, and immune responses. In particular, we emphasize their contributions to chemotherapy resistance and their potential as both diagnostic markers and therapeutic targets. By synthesizing current research, this review provides novel insights into the clinical applications of exosomal circRNAs, offering a foundation for future studies aimed at improving breast cancer management through non-invasive diagnostics and targeted therapies.

TFF3 and PVRL2 co-targeting identified by multi-omics approach as an effective cancer immunosuppression strategy.

BACKGROUND: The immunosuppressive tumour microenvironment (TME) plays a critical role in cancer progression and relapse by significantly influencing cancer pathogenesis through autocrine and paracrine signalling. Trefoil factor 3 (TFF3), a secreted protein, has been implicated in modulating the TME to promote cancer advancement. Herein, we investigated the potential association between TFF3 and key immunosuppressive TME components to distinguish a co-targetable oncotherapeutic strategy. METHODS: The TFF3-PVRL2 association were identified and investigated by integrating multiple bioinformatic-tools. The virtual compound screening for PVRL2 inhibitors was done with EasyVS. The TFF3-PVRL2 protein-level correlation was validated by immunoblotting, and the effectiveness of co-inhibiting TFF3 and PVRL2 was assessed using siRNA and AMPC (a TFF3 inhibitor). RESULTS: Analysis of the TISIDB database revealed a positive correlation between TFF3 and PVRL2 mRNA levels across multiple cancer types. This correlation was confirmed at the protein level through immunoblot analysis. Further evaluation using TCGA pan-cancer datasets demonstrated that TFF3 and PVRL2 interact to establish an immunosuppressive TME, promoting cancer progression in BRCA, LUAD, PAAD, PRAD, and STAD. Enrichment analyses of positively correlated genes, PPI network hub proteins, and ceRNA networks involving TFF3 and PVRL2, conducted using LinkedOmics, STRING, and Cytoscape, provided insights into their potential co-functions in cancer. A cell-based assay was performed to evaluate the combined therapeutic efficacy of targeting both, TFF3 and PVRL2 and virtual screening identified potential drugs for inhibiting PVRL2. CONCLUSION: PVRL2 has emerged as a promising immunoinhibitory target with significant associations with TFF3 and represents a key co-targetable molecule for effective oncotherapeutic strategies.

Dendritic cells pulsed with multifunctional Wilms' tumor 1 (WT1) peptides combined with multiagent chemotherapy modulate the tumor microenvironment and enable conversion surgery in pancreatic cancer.

BACKGROUND: We aimed to develop a chemoimmunotherapy regimen consisting of a novel Wilms' tumor 1 (WT1) peptide-pulsed dendritic cell (WT1-DC) vaccine and multiagent chemotherapy and to investigate the safety, clinical outcomes, and WT1-specific immune responses of patients with unresectable advanced pancreatic ductal adenocarcinoma (UR-PDAC) who received this treatment. METHODS: Patients with UR-PDAC with stage III disease (locally advanced (LA-PDAC; n=6)), stage IV disease (metastatic (M-PDAC; n=3)), or recurrent disease after surgery (n=1) were enrolled in this phase I study. The patients received one cycle of nab-paclitaxel plus gemcitabine alone followed by 15 doses of the WT1-DC vaccine independent of chemotherapy. The novel WT1 peptide cocktail was composed of a multifunctional helper peptide specific for major histocompatibility complex class II, human leukocyte antigen (HLA)-A*02:01, or HLA-A*02:06 and a killer peptide specific for HLA-A*24:02. RESULTS: The chemoimmunotherapy regimen was well tolerated. In the nine patients for whom a prognostic analysis was feasible, the clinical outcomes of long-term WT1 peptide-specific delayed-type hypersensitivity (WT1-DTH)-positive patients (n=4) were significantly superior to those of short-term WT1-DTH-positive patients (n=5). During chemoimmunotherapy, eight patients were deemed eligible for conversion surgery and underwent R0 resection (four patients with LA-PDAC, one patient with M-PDAC, and one recurrence) or R1 resection (one patient with M-PDAC), and one patient with LA-PDAC was determined to be unresectable. Long-term WT1-DTH positivity was observed in three of the four patients with R0-resected LA-PDAC. These three patients exhibited notable infiltration of T cells and programmed cell death protein-1+ cells within the pancreatic tumor microenvironment (TME). All patients with long-term WT1-DTH positivity were alive for at least 4.5 years after starting therapy. In patients with long-term WT1-DTH positivity, the percentage of WT1-specific circulating CD4+ or CD8+ T cells that produced IFN-γ or TNF-α was significantly greater than that in patients with short-term WT1-DTH positivity after two vaccinations. Moreover, after 12 vaccinations, the percentages of both circulating regulatory T cells and myeloid-derived suppressor cells were significantly lower in patients with long-term WT1-DTH-positive PDAC than in short-term WT1-DTH-positive patients. CONCLUSIONS: Potent activation of WT1-specific immune responses through a combination chemoimmunotherapy regimen including the WT1-DC vaccine in patients with UR-PDAC may modulate the TME and enable conversion surgery, resulting in clinical benefits (Online supplemental file 1). TRIAL REGISTRATION NUMBER: jRCTc030190195.

NSGS mice humanized with cord blood mononuclear cells show sustained and functional myeloid-lymphoid representation with limited graft-versus-host disease.

Humanized immunodeficient mice serve as critical models for investigating the functional interplay between transplanted human cells and a pre-reconstituted human immune system. These models facilitate the study of molecular and cellular pathogenic mechanisms and enable the evaluation of the efficacy and toxicity of immunotherapies, thereby accelerating their preclinical and clinical development. Current strategies rely on inefficient, long-term/delayed hematopoietic reconstitution by CD34+ hematopoietic progenitors or short-term reconstitution with peripheral blood mononuclear cells (PB-MNCs) associated with high rates of graft-versus-host disease (GvHD) and an inefficient representation of immune cell populations. Here, we hypothesized that immunologically naïve cord blood mononuclear cells (CB-MNCs) could serve as a superior alternative, providing long-lasting and functionally effective immune reconstitution. We conducted a comprehensive comparison between the non-obese diabetic (NOD).Cg-Prkdc∧ˆscid-IL2rg∧ˆtm1Wjl/SzJ (NSG) and NSG-Tg(CMV-IL3,CSF2,KITLG)∧ˆ1Eav/MloySzJ (NSGS) immunodeficient mouse models following humanization with either PB-MNCs or CB-MNCs. We assessed the engraftment dynamics of various human immune cells over time and monitored the development of GvHD in both models. For the most promising model, we extensively evaluated immune cell functionality in vitro and in vivo using sarcoma and leukemia xenografts. Humanizing NSGS mice with CB-MNCs results in a rapid, robust, and sustained representation of a diverse range of functional human lymphoid and myeloid cell populations while minimizing GvHD incidence. In this model, human immune cell populations significantly impair the growth and engraftment of sarcoma and B-cell acute lymphoblastic leukemia cells, with a significant inverse correlation between immune cell levels and tumor growth. This study establishes a fast, efficient, and reliable in vivo platform for various applications in cancer immunotherapy, particularly for exploring the complex interactions between cancer cells, immune cells, and the tumor microenvironment in vivo, prior to clinical development.

Spatial heterogeneity of infiltrating immune cells in the tumor microenvironment of non-small cell lung cancer.

Tumor-infiltrating lymphocytes (TILs) are essential components of the tumor microenvironment (TME) of non-small cell lung cancer (NSCLC). Still, it is difficult to describe due to their heterogeneity. In this study, five cell markers from NSCLC patients were analyzed. We segmented tumor cells (TCs) and TILs using Efficientnet-B3 and explored their quantitative information and spatial distribution. After that, we simulated multiplex immunohistochemistry (mIHC) by overlapping continuous single chromogenic IHCs slices. As a result, the proportion and the density of programmed cell death-ligand 1 (PD-L1)-positive TCs were the highest in the core. CD8+ T cells were the closest to the tumor (median distance: 41.71 µm), while PD-1+T cells were the most distant (median distance: 62.2µm), and our study found that most lymphocytes clustered together within the peritumoral range of 10-30 µm where cross-talk with TCs could be achieved. We also found that the classification of TME could be achieved using CD8+ T-cell density, which is correlated with the prognosis of patients. In addition, we achieved single chromogenic IHC slices overlap based on CD4-stained IHC slices. We explored the number and spatial distribution of cells in heterogeneous TME of NSCLC patients and achieved TME classification. We also found a way to show the co-expression of multiple molecules economically.

Synergistic Potential of Nanomedicine in Prostate Cancer Immunotherapy: Breakthroughs and Prospects.

Given the global prevalence of prostate cancer in men, it is crucial to explore more effective treatment strategies. Recently, immunotherapy has emerged as a promising cancer treatment due to its unique mechanism of action and potential long-term effectiveness. However, its limited efficacy in prostate cancer has prompted renewed interest in developing strategies to improve immunotherapy outcomes. Nanomedicine offers a novel perspective on cancer treatment with its unique size effects and surface properties. By employing targeted delivery, controlled release, and enhanced immunogenicity, nanoparticles can be synergized with nanomedicine platforms to amplify the effectiveness of immunotherapy in treating prostate cancer. Simultaneously, nanotechnology can address the limitations of immunotherapy and the challenges of immune escape and tumor microenvironment regulation. Additionally, the synergistic effects of combining nanomedicine with other therapies offer promising clinical outcomes. Innovative applications of nanomedicine include smart nanocarriers, stimulus-responsive systems, and precision medicine approaches to overcome translational obstacles in prostate cancer immunotherapy. This review highlights the transformative potential of nanomedicine in enhancing prostate cancer immunotherapy and emphasizes the need for interdisciplinary collaboration to drive research and clinical applications forward.

Comprehensive pan-cancer analysis and experiments revealed R3HDM1 as a novel predictive biomarker for prognosis and immune therapy response.

Background: R3HDM1, an RNA binding protein with one R3H domain, remains uncharacterized in terms of its association with tumor progression, malignant cell regulation, and the tumor immune microenvironment. This paper aims to fill this gap by analyzing the potential of R3HDM1 in diagnosis, prognosis, chemotherapy, and immune function across various cancers. Methods: Data was collected from the Firehost database (http://gdac.broadinstitute.org) to obtain the TCGA pan-cancer queue containing tumor and normal samples. Additional data on miRNA, TCPA, mutations, and clinical information were gathered from the UCSC Xena database (https://xenabrowser.net/datapages/). The mutation frequency and locus of R3HDM1 in the TCGA database were examined using the cBioPortal. External validation through GEO data was conducted to assess the differential expression of R3HDM1 in different cancers. Protein expression levels were evaluated using the Clinical Proteomics Tumor Analysis Alliance (CPTAC). The differential expression of R3HDM1 was verified in lung adenocarcinoma cell lines and normal lung glandular epithelial cells via RT-qPCR. Cell migration and proliferation experiments were conducted by knocking down the expression of R3HDM1 in two lung adenocarcinoma cell lines using small interfering RNA. The biological role of R3HDM1 in pan-cancer was explored using the GSEA method. Multiple immune infiltration algorithms from the TIMER2.0 database was employed to investigate the correlation between R3HDM1 expression and the tumor immune microenvironment. Validation of transcriptome immune infiltration was based on 140 single-cell datasets from the TISCH database. The study also characterized a pan-cancer survival profile and analyzed the differential expression of R3HDM1 in different molecular subtypes. The relationship between R3HDM1 and drug resistance was investigated using four chemotherapy data sources: CellMiner, GDSC, CTRP and PRISM. The impact of chemicals on the expression of R3HDM1 was explored through the CTD database. Result: The study revealed differential expression of R3HDM1 in various tumors, indicating its potential as an early diagnostic marker. Changes in somatic copy number (SCNA) and DNA methylation were identified as factors contributing to abnormal expression levels. Additionally, the study found that R3HDM1 expression is associated with clinical features, metabolic pathways, and important pathways related to metastasis and the immune system. High expression of R3HDM1 was linked to poor prognosis across different tumors and altered drug sensitivity. Furthermore, the expression of R3HDM1 showed significant correlations with immune modulatory molecules and biomarkers of lymphocyte subpopulation infiltration. Finally, the study highlighted four chemicals that could influence the expression of R3HDM1. Conclusion: Overall, this study proposes that R3HDM1 expression is a promising biomarker for predicting the prognosis of cancer, especially lung adenocarcinoma, and the efficacy of immunotherapy, demonstrating the rationale for further exploration in the development of anti-tumor therapies.

Prognostic risk model of LIHC T-cells based on scRNA-seq and RNA-seq and the regulation of the tumor immune microenvironment.

BACKGROUND: T-cell-related genes play a crucial role in LIHC development. However, a reliable prognostic profile based on risk models of these genes has yet to be identified. METHODS: Single-cell datasets from both tumor and normal tissue samples were obtained from the GEO database. We identified T-cell marker genes and developed a genetic risk model using the TCGA-LIHC dataset, which was subsequently validated with an independent GEO dataset. We also explored the relationship between risk model predictions and immune responses. RESULTS: We constructed a prognostic risk model using eight gene features identified through screening 860 T-cell marker genes via scRNA-seq and RNA-seq, which was subsequently integrated with the TCGA dataset. Its validity was independently confirmed using GEO and ICGC datasets. The TCGA dataset was stratified into high-risk and low-risk groups based on the risk model. Multivariate Cox regression analysis confirmed the risk score as an independent prognostic factor. GSEA indicated ribosomal transporter metabolism enrichment in the high-risk group and significant transcriptional activation in the low-risk group. ESTIMATE analysis showed higher ESTIMATE, immune, and stromal scores in the low-risk group, which also exhibited lower tumor purity than the high-risk group. Immunophenotyping revealed distinct patterns of immune cell infiltration and an immunosuppressive environment in the high-risk group. CONCLUSIONS: This study introduces a T-cell marker-based prognostic risk model for LIHC patients. This model effectively predicted survival outcomes and immunotherapy effectiveness in LIHC patients, aligning with diverse immune responses and the distinct immunological profiles observed in the high-risk group.

Lipids in the tumor microenvironment: immune modulation and metastasis.

Tumor cells can undergo metabolic adaptations that support their growth, invasion, and metastasis, such as reprogramming lipid metabolism to meet their energy demands and to promote survival in harsh microenvironmental conditions, including hypoxia and acidification. Metabolic rewiring, and especially alterations in lipid metabolism, not only fuel tumor progression but also influence immune cell behavior within the tumor microenvironment (TME), leading to immunosuppression and immune evasion. These processes, in turn, may contribute to the metastatic spread of cancer. The diverse metabolic profiles of immune cell subsets, driven by the TME and tumor-derived signals, contribute to the complex immune landscape in tumors, affecting immune cell activation, differentiation, and effector functions. Understanding and targeting metabolic heterogeneity among immune cell subsets will be crucial for developing effective cancer immunotherapies that can overcome immune evasion mechanisms and enhance antitumor immunity.

Effects of intratumoral microbiota on tumorigenesis, anti-tumor immunity, and microbe-based cancer therapy.

Intratumoral microbiota (IM) has emerged as a significant component of the previously thought sterile tumor microenvironment (TME), exerting diverse functions in tumorigenesis and immune modulation. This review outlines the historical background, classification, and diversity of IM, elucidating its pivotal roles in oncogenicity, cancer development, and progression, alongside its influence on anti-tumor immunity. The signaling pathways through which IM impacts tumorigenesis and immunity, including reactive oxygen species (ROS), ß-catenin, stimulator of interferon genes (STING), and other pathways [NF-κB, Toll-like receptor (TLR), complement, RhoA/ROCK, PKR-like ER kinase (PERK)], are discussed comprehensively. Furthermore, we briefly introduce the clinical implications of IM, emphasizing its potential as a target for novel cancer therapies, diagnostic biomarkers, and prognostic indicators. Notably, microbe-based therapeutic strategies such as fecal microbiome transplantation (FMT), probiotics regulation, bacteriotherapy, bacteriophage therapy, and oncolytic virotherapy are highlighted. These strategies hold promise for enhancing the efficacy of current cancer treatments and warrant further exploration in clinical settings.

PARP inhibitors enhance antitumor immune responses by triggering pyroptosis via TNF-caspase 8-GSDMD/E axis in ovarian cancer.

BACKGROUND: In addition to their established action of synthetic lethality in tumor cells, poly(ADP-ribose) polymerase inhibitors (PARPis) also orchestrate tumor immune microenvironment (TIME) that contributes to suppressing tumor growth. However, it remains not fully understood whether and how PARPis trigger tumor-targeting immune responses. METHODS: To decode the immune responses reshaped by PARPis, we conducted T-cell receptor (TCR) sequencing and immunohistochemical (IHC) analyses of paired clinical specimens before and after niraparib monotherapy obtained from a prospective study, as well as ID8 mouse ovarian tumors. To validate the induction of immunogenic cell death (ICD) by PARPis, we performed immunofluorescence/IHC staining with homologous recombination deficiency tumor cells and patient-derived xenograft tumor tissues, respectively. To substantiate that PARPis elicited tumor cell pyroptosis, we undertook comprehensive assessments of the cellular morphological features, cleavage of gasdermin (GSDM) proteins, and activation of TNF-caspase signaling pathways through genetic downregulation/depletion and selective inhibition. We also evaluated the critical role of pyroptosis in tumor suppression and immune activation following niraparib treatment using a syngeneic mouse model with implanting CRISPR/Cas9 edited Gsdme-/ - ID8 tumor cells into C57BL/6 mice. RESULTS: Our findings revealed that PARPis augmented the proportion of neoantigen-recognized TCR clones and TCR clonal expansion, and induced an inflamed TIME characterized by increased infiltration of both innate and adaptive immune cells. This PARPis-strengthened immune response was associated with the induction of ICD, specifically identified as pyroptosis, which possessed distinctive morphological features and GSDMD/E cleavage. It was validated that the cleavage of GSDMD/E was due to elevated caspase 8 activity downstream of the TNFR1, rather than FAS and TRAIL-R. On PARP inhibition, the NF-κB signaling pathway was activated, leading to increased secretion of TNF-α and subsequent initiation of the TNFR1-caspase 8 cascade. Impeding pyroptosis through the depletion of Gsdme significantly compromised the tumor-suppressing effects of PARP inhibition and undermined the anti-immune response in the syngeneic ID8 mouse model. CONCLUSIONS: PARPis induce a specific type of ICD called pyroptosis via TNF-caspase 8-GSDMD/E axis, resulting in an inflamed TIME and augmentation of tumor-targeting immune responses. These findings deepen our understanding of PARPis activities and point toward a promising avenue for synergizing PARPis with immunotherapeutic interventions. TRIAL REGISTRATION NUMBER: NCT04507841.

Single-cell sequencing in diffuse large B-cell lymphoma: C1qC is a potential tumor-promoting factor.

BACKGROUND: Complement component 1q (C1q) is central to the classical complement pathway. High C1q expression has been linked to poor prognosis in patients with cancer. However, the precise mechanism via which C1q contributes to diffuse large B-cell lymphoma (DLBCL) is still unknown. We aimed to explore the potential mechanism by which C1qC promoting DLBCL. METHODS: Using multiplex immunohistochemistry (mIHC) to identify immunocyte subgroups associated with prognosis in DLBCL tissues. Constructing a risk prediction model based on immunocytes using least absolute shrinkage and selection operator (LASSO) regression. Single-cell sequencing detects the expression level of C1qC in immunocytes in the DLBCL microenvironment. Using Wb and qPCR to detect markers of M2 macrophages after knocking down C1qC, and exploring the interactions between lymphoma cells and macrophages through co-culture. Analyzing clinical data from DLBCL patients to investigate the clinical significance of C1qC+ M2 macrophages. Lastly, using bioinformatics in conjunction with mIHC to elucidate the potential pro-tumor mechanism of C1qC. RESULTS: First, we found T cell subtypes, neutrophils, and M2 macrophages are associated with prognosis. Subsequently, the risk model identified C1qC as a differential gene relevant to DLBCL prognosis. Furthermore, single-cell sequencing suggested high C1qC expression in M2 macrophages. The expression level of CD163 is significantly lower following siC1qC. Co-culture experiments have shown that M2 macrophages can promote the proliferation of tumor cells and reduce their drug sensitivity. Furthermore, as an independent predictive indicator, high expression of C1qC+ M2 macrophages is associated with poor prognosis in patients. Finally, a positive correlation between increased C1qC expression and immune checkpoints, as well as an increase in the infiltration of regulatory T cells (Tregs) and M2 macrophages. CONCLUSIONS: C1qC offering new insights into pathogenesis and presenting a potential therapeutic target in DLBCL.

Biomaterials to regulate tumor extracellular matrix in immunotherapy.

The tumor extracellular matrix (ECM) provides physical support and influences tumor development, metastasis, and the tumor microenvironment, creating barriers to immune drug delivery and cell infiltration. Therefore, modulating or degrading the ECM is of significant importance to enhance the efficacy of tumor immunotherapy. This manuscript initially summarizes the main strategies and mechanisms of biomaterials in modulating various components of the ECM, including collagen, fibronectin, hyaluronic acid, and in remodeling the ECM. Subsequently, it discusses the benefits of biomaterials for immunotherapy following ECM modulation, such as promoting the infiltration of drugs and immune cells, regulating immune cell function, and alleviating the immunosuppressive microenvironment. The manuscript also briefly introduces the application of biomaterials that utilize and mimic the ECM for tumor immunotherapy. Finally, it addresses the current challenges and future directions in this field, providing a comprehensive overview of the potential and innovation in leveraging biomaterials to enhance cancer treatment outcomes. Our work will offer a comprehensive overview of ECM modulation strategies and their application in biomaterials to enhance tumor immunotherapy.

CAF-Associated Genes in Breast Cancer for Novel Therapeutic Strategies.

Breast cancer (BC) is the most common cancer in women, and therapeutic strategies for it are based on the molecular subtypes of luminal BC, HER2 BC, and triple-negative BC (TNBC) because each subtype harbors different unique genetic aberrations. Recently, features of the tumor microenvironment (TME), especially cancer-associated fibroblasts (CAFs), have been demonstrated to play a critical role in BC progression, and we would like to understand the molecular features of BC CAFs for novel therapeutic strategies. In a recent study, 115 CAF-associated genes (CAFGs) were identified in a public database of microdissection and microarray data (GSE35602) from 13 colorectal cancer (CRC) tumors. Using a public database (GSE10797) of 28 BC tumors, a similar analysis was performed. In BC, 59 genes from the 115 CAFGs identified in CRC (CRC CAFGs) were also closely associated with a CAFs marker, SPARC (R = 0.6 or beyond), and POSTN was of particular interest as one of the BC CAFGs with the highest expression levels and a close association with SPARC expression (R = 0.94) in the cancer stroma of BC tumors. In BC stroma, POSTN was followed in expression levels by DKK3, MMP2, PDPN, and ACTA2. Unexpectedly, FAP and VIM were not as highly associated with SPARC expression in the cancer stroma of BC tumors and exhibited low expression. These findings suggested that ACTA2 might be the most relevant conventional CAFs marker in BC, and ACTA2 was actually correlated in expression with many CRC CAFGs, such as SPARC. Surprisingly, the SE ratio values of the BC CAFGs were much lower (average SE = 3.8) than those of the CRC CAFGs (SE = 10 or beyond). We summarized the current understanding of BC CAFs from the literature. Finally, in triple-negative BC (TNBC) (n = 5), SPARC expression uniquely showed a close association with COL11A1 and TAGLN expression, representing a myofibroblast (myCAFs) marker in the cancer stroma of the BC tumors, suggesting that myCAFs may be molecularly characterized by TNBC in contrast to other BC phenotypes. In summary, CAFs could have unique molecular characteristics in BC, and such TME uniqueness could be therapeutically targeted in BC.

Effects of Vitamin D on tumor cell proliferation and migration, tumor initiation and anti-tumor immune response in head and neck squamous cell carcinomas.

BACKGROUND: Head and neck squamous cell carcinomas (HNSCCs) are among the six most common cancers, with a constantly poor prognosis. Vitamin D has been found to have antineoplastic and immunomodulatory properties in various cancers. This study investigated the impact of Vitamin D on the initiation and progression as well as antitumor immune response in HNSCCs, both in vitro and in vivo. METHODS: An immunocompetent, orthotopic oral carcinogenesis mouse model was used to examine the influence of Vitamin D3 substitution on HNSCC initiation and progression in vivo. Tumor immune infiltration was analyzed by immunohistochemistry targeting CD3, CD8, NKR-P1C, FOXP3, and CD163. Two HPV- and two HPV+ HNSCC cell lines were treated with 1,25-dihydroxyvitamin D3 to analyze effects on tumor cell proliferation, migration and transcriptomic changes using RNA-sequencing, differential gene expression and gene set enrichment analysis. RESULTS: Vitamin D3 treatment led to a significant suppression of HNSCC initiation and progression, while also stimulating tumor immune infiltration with CD3+, CD8+ and NKR-P1C+ cells and lowering levels of M2 macrophages and Treg cells in vivo. In vitro experiments showed an inhibition of HNSCC cell proliferation and migration in HPV+ and HPV- cell lines. RNA-sequencing showed significant regulations in IL6 JAK STAT3, hypoxia signaling and immunomodulatory pathways upon Vitamin D3 treatment. CONCLUSION: The findings of our study highlight the promising potential of Vitamin D in the therapeutic repertoire for HNSCC patients given its immune modulating, anti-proliferative and anti-migratory properties. Clinical transferability of those in vitro and in vivo effects should be further validated in clinical trials.

Deciphering the impact of aggregated autophagy-related genes TUBA1B and HSP90AA1 on colorectal cancer evolution: a single-cell sequencing study of the tumor microenvironment.

BACKGROUND: Colorectal cancer (CRC) is the third most prevalent cancer worldwide, with the tumor microenvironment (TME) playing a crucial role in its progression. Aggregated autophagy (AA) has been recognized as a factor that exacerbates CRC progression. This study aims to study the relationship between aggregated autophagy and CRC using single-cell sequencing techniques. Our goal is to explain the heterogeneity of the TME and to explore the potential for targeted personalized therapies. OBJECTIVE: To study the role of AA in CRC, we employed single-cell sequencing to discern distinct subpopulations within the TME. These subpopulations were characterized by their autophagy levels and further analyzed to identify specific biological processes and marker genes. RESULTS: Our study revealed significant correlations between immune factors and both clinical and biological characteristics of the tumor microenvironment (TME), particularly in cells expressing TUBA1B and HSP90AA1. These immune factors were associated with T cell depletion, a reduction in protective factors, diminished efficacy of immune checkpoint blockade (ICB), and enhanced migration of cancer-associated fibroblasts (CAFs), resulting in pronounced inflammation. In vitro experiments showd that silencing TUBA1B and HSP90AA1 using siRNA (Si-TUBA1B and Si-HSP90AA1) significantly reduced the expression of IL-6, IL-7, CXCL1, and CXCL2 and inhibition of tumor cell growth in Caco-2 and Colo-205 cell lines. This reduction led to a substantial alleviation of chronic inflammation and highlighted the heterogeneous nature of the TME. CONCLUSION: This study marks an initial foray into understanding how AA-associated processes may potentiate the TME and weaken immune function. Our findings provide insights into the complex dynamics of the TME and highlight potential targets for therapeutic intervention, suggesting a key role for AA in the advancement of colorectal cancer.

As a novel prognostic model for breast cancer, the identification and validation of telomere-related long noncoding RNA signatures.

BACKGROUND: Telomeres are a critical component of chromosome integrity and are essential to the development of cancer and cellular senescence. The regulation of breast cancer by telomere-associated lncRNAs is not fully known, though. The goals of this study were to describe predictive telomere-related LncRNAs (TRL) in breast cancer and look into any possible biological roles for these RNAs. METHODS: We obtained RNA-seq data, pertinent clinical data, and a list of telomere-associated genes from the cancer genome atlas and telomere gene database, respectively. We subjected differentially expressed TRLs to co-expression analysis and univariate Cox analysis to identify a prognostic TRL. Using LASSO regression analysis, we built a prognostic model with 14 TRLs. The accuracy of the model's prognostic predictions was evaluated through the utilization of Kaplan-Meier (K-M) analysis as well as receiver operating characteristic (ROC) curve analysis. Additionally, immunological infiltration and immune drug prediction were done using this model. Patients with breast cancer were divided into two subgroups using cluster analysis, with the latter analyzed further for variations in response to immunotherapy, immune infiltration, and overall survival, and finally, the expression of 14-LncRNAs was validated by RT-PCR. RESULTS: We developed a risk model for the 14-TRL, and we used ROC curves to demonstrate how accurate the model is. The model may be a standalone prognostic predictor for patients with breast cancer, according to COX regression analysis. The immune infiltration and immunotherapy results indicated that the high-risk group had a low level of PD-1 sensitivity and a high number of macrophages infiltrating. In addition, we've discovered a number of small-molecule medicines with considerable for use in treating high-risk groups. The cluster 2 subtype showed the highest immune infiltration, the highest immune checkpoint expression, and the worst prognosis among the two subtypes defined by cluster analysis, which requires more attention and treatment. CONCLUSION: As a possible biomarker, the proposed 14-TRL signature could be utilized to evaluate clinical outcomes and treatment efficacy in breast cancer patients.