Tumor Immune Cells Research Articles

Tumor-immune hybrid cells evade the immune response and potentiate colorectal cancer metastasis through CTLA4.

Understanding the metastatic cascade is critical for the treatment and prevention of cancer-related death. Within a tumor, immune cells have the capacity to fuse with tumor cells to generate tumor-immune hybrid cells (THCs). THCs are hypothesized to be a subset of cancer cells with the capacity to enter circulation as circulating hybrid cells (CHC) and seed metastases. To understand the mechanism of THC metastasis, we investigated CHCs in peripheral blood from patients with stage IV colorectal cancer (CRC), as well as THCs in tissues of primary colorectal cancers and their liver metastasis sites using immunofluorescence, spatial proteomic, spatial transcriptomic, molecular classification, and molecular pathway analyses. Our findings indicated a high prevalence of CHCs and THCs in patients with stage IV CRC. THCs expressed CTLA4 in primary CRC lesions and correlated with upregulation of CD68, CD4, and HLA-DR in metastatic liver lesions, which is found in the consensus molecular subtype (CMS) 1 of primary CRC tissue. Pathway analysis of these genes suggested that THCs are associated with neutrophils due to upregulation of neutrophil extracellular trap signaling (NET) and neutrophil degranulation pathways. These data provide molecular pathways for the formation of THCs suggesting fusion with neutrophils, which may facilitate extravasation and metastatic seeding.

Unraveling the landscape of non-melanoma skin cancer through single-cell RNA sequencing technology

Non-melanoma skin cancer (NMSC) mainly includes basal cell carcinoma, cutaneous squamous cell carcinoma, and Merkel cell carcinoma, showing a low mortality rate but the highest incidence worldwide. In recent decades, research has focused on understanding the pathogenesis and clinical treatments of NMSC, leading to significant advances in our knowledge of these diseases and the development of novel therapies, including immunotherapy. Nevertheless, the low to moderate objective response rate, high recurrence, and therapeutic resistance remain persistent challenges, which are partly attributable to the intratumoral heterogeneity. This heterogeneity indicates that tumor cells, immune cells, and stromal cells in the tumor microenvironment can be reshaped to a series of phenotypic and transcriptional cell states that vary in invasiveness and treatment responsiveness. The advent of single-cell RNA sequencing (scRNA-seq) has enabled the comprehensive profiling of gene expression heterogeneity at the single-cell level, which has been applied to NMSC to quantify cell compositions, define states, understand tumor evolution, and discern drug resistance. In this review, we highlight the key findings, with a focus on intratumoral heterogeneity and the mechanism of drug resistance in NMSC, as revealed by scRNA-seq. Furthermore, we propose potential avenues for future research in NMSC using scRNA-seq.

Supercontinuum-tailoring multicolor imaging reveals spatiotemporal dynamics of heterogeneous tumor evolution

Tumor heterogeneity and tumor evolution contribute to cancer treatment failure. To understand how selective pressures drive heterogeneous tumor evolution, it would be useful to image multiple important components and tumor subclones in vivo. We propose a supercontinuum-tailoring two-photon microscope (SCT-TPM) and realize simultaneous observation of nine fluorophores with a single light beam, breaking through the ‘color barrier’ of intravital two-photon fluorescence imaging. It achieves excitation multiplexing only by modulating the phase of fiber supercontinuum (SC), allowing to capture rapid events of multiple targets with maintaining precise spatial alignment. We employ SCT-TPM to visualize the spatiotemporal dynamics of heterogeneous tumor evolution under host immune surveillance, particularly the behaviors and interactions of six tumor subclones, immune cells and vascular network, and thus infer the trajectories of tumor progression and clonal competition. SCT-TPM opens up the possibility of tumor lineage tracking and mechanism exploration in living biological systems.

Carvacrol potentiates immunity and sorafenib anti-cancer efficacy by targeting HIF-1α/STAT3/ FGL1 pathway: in silico and in vivo study.

Hypoxia and tumor cell immunological escape greatly hinder the hepatocellular carcinoma (HCC) treatment efficiency. This study is designed to investigate the capability of carvacrol (CVR) to enhance sorafenib (SOR) anti-cancer efficacy and modulate anti-HCC immunity. CVR target and biological activities were predicted using Swiss Target Prediction website and PASS web server. UALCAN and LinkedOmics databases were used to examine hypoxia-inducible factor 1-alpha (HIF-1α) expression and the relationship between studied genes and tumor clinical features. Kaplan-Meier plotter (KM plotter) and TISIDB databases were used to illustrate correlation of HIF-1α with HCC prognosis and immune infiltration. The binding affinities of CVR to p300, KAT2B, CREBBP, and Hsp90 were demonstrated by molecular docking. In vivo analysis was performed in male Sprague-Dawley rats. The STAT3, JAK2, and fibrinogen-like protein 1 (FGL1) expressions were assessed by qRT-PCR. FGL1 was determined by ELISA. CD8+ T cell number was counted by flow cytometry. HIF-1α was determined by immunohistochemistry. CVR showed an HIF-1α inhibitory potential, which is highly expressed in HCC tissues. Also, elevated HIF-1α expression has been found to be correlated with clinicopathological characteristics, poor survival in HCC patients, and tumor immune cell infiltration. CVR/SOR enhanced liver functions and decreased AFP level. CVR/SOR hindered HCC progression by downregulating STAT3, JAK2, and FGL1. CVR/SOR induced tumor immunity via increasing CD8+ T cells. CVR/SOR is a powerful combination for tumor repression and enhancing SOR efficiency in HCC by modulating FGL1. Moreover, CVR/SOR might exert the aforementioned effects through HIF-1α/STAT3/FGL1 pathway.

Differential cellular communication in tumor immune microenvironment during early and advanced stages of lung adenocarcinoma.

Heterogeneous behavior of each cell type and their cross-talks in tumor immune microenvironment (TIME) refers to tumor immunological heterogeneity that emerges during tumor progression and represents formidable challenges for effective anti-tumor immune response and promotes drug resistance. To comprehensively elucidate the heterogeneous behavior of individual cell types and their interactions across different stages of tumor development at system level, a computational framework was devised that integrates cell specific data from single-cell RNASeq into networks illustrating interactions among signaling and metabolic response genes within and between cells in TIME. This study identified stage specific novel markers which remodel the cross-talks, thereby facilitating immune stimulation. Particularly, multicellular knockout of metabolic gene APOE (Apolipoprotein E in mast cell, myeloid cell and fibroblast) combined with signaling gene CAV1 (Caveolin1 in endothelial and epithelial cells) resulted in the activation of T-cell mediated signaling pathways. Additionally, this knockout also initiated intervention of cytotoxic gene regulations during tumor immune cell interactions at the early stage of Lung Adenocarcinoma (LUAD). Furthermore, a unique interaction motif from multiple cells emerged significant in regulating the overall immune response at the advanced stage of LUAD. Most significantly, FCER1G (Fc Fragment of IgE Receptor Ig) was identified as the common regulator in activating the anti-tumor immune response at both stages. Predicted markers exhibited significant association with patient overall survival in patient specific dataset. This study uncovers the significance of signaling and metabolic interplay within TIME and discovers important targets to enhance anti-tumor immune response at each stage of tumor development.

UL16‑binding protein 1 is a significant prognostic and diagnostic marker for breast cancer.

The aim of the present study was to investigate the association between UL16 binding protein 1 (ULBP1) and the prognosis of patients with and immune cell infiltration in breast cancer (BRCA). The mRNA data of BRCA and immune-related genes were extracted from The Cancer Genome Atlas and were analyzed using bioinformatics tools. Subsequently, the results obtained by bioinformatics were validated through the collection of clinical patient data at the Zibo Central hospital (Zibo, China). The difference in the expression of the ULBP1 gene between BRCA tissues and normal precancerous tissues was analyzed, followed by validation using immunohistochemistry. By combining clinical data from patients with BRCA, the prognostic and diagnostic significance of the ULBP1 gene in patients with BRCA was analyzed. Gene enrichment analysis was conducted to gain insight into the molecular mechanisms underlying the regulatory role of ULBP1 in BRCA by analyzing its related functions and signaling pathways. Furthermore, single sample gene set enrichment analysis (ssGSEA) and Spearman's correlation analysis were performed to explore the correlation between ULBP1 as a target gene related with tumor immune cell infiltration. The data revealed that ULBP1 is a target gene associated with immunity and the prognosis of patients with BRCA. Patients with BRCA with a high expression of ULBP1 had a poorer prognosis. ULBP1 expression correlated with progesterone receptor expression, estrogen receptor expression and histological type in patients with BRCA; thus, it may serve as an independent predictor for the overall survival rate of patients. Functional enrichment analysis revealed a significant co-expression between ULBP1 and ULBP2, ULBP3, retinoic acid early transcript 1K, as well as a significant enrichment of pathways associated with carcinogenesis and immune suppression. ssGSEA and Spearman's correlation analysis demonstrated significant correlations between ULBP1 expression and tumor immune cells, as well as immune checkpoints. Overall, the present study demonstrated that ULBP1 was associated with BRCA immunity and might serve as a prognostic and diagnostic biomarker for patients with BRCA. In addition, it might also be a potential target for the immunotherapy of BRCA.

Tissue and imaging biomarkers of response to neoadjuvant nivolumab or nivolumab plus ipilimumab in patients with resectable hepatocellular carcinoma.

Perioperative immunotherapy has shown promise in some patients with early-stage hepatocellular carcinoma (HCC). This study examined tissue and imaging biomarkers associated with pathologic response in a phase II clinical trial in patients with resectable HCC. Analysis included 18 patients with biopsy-proven resectable HCC treated with neoadjuvant nivolumab plus ipilimumab or nivolumab alone in a phase II clinical trial at MD Anderson Cancer Center (NCT03222076). Liver MRE (to measure tissue fibrosis) and biopsies (to evaluate immune activation markers) were obtained serially pretreatment and after completing neoadjuvant immunotherapy. A major pathologic response (MPR) was defined as tumor necrosis of more than 70%. Data comparing patients with MPR versus those without was summarized using descriptive statistics and compared using the Wilcoxon rank sum test. Patients with MPR after neoadjuvant immunotherapy tended to have larger tumors (mean 9.52 vs. 4.99 centimeters; p = 0.050). They had a significant reduction in tumor size post-treatment (14.67% reduction vs. 9.15% increase in size; p = 0.042) and a non-significant decrease in serum AFP (-24.20% vs -14.00%; p = 0.085). Further, patients with MPR had a greater increase in intratumoral expression levels of CD8 (26.92% vs -0.04%; p = 0.026), Granzyme B (15.56% vs -2.24%; p = 0.011), and PD-1 (20.17% vs 0.40%; p = 0.048) but not PD-L1 (7.69% vs 0.57%; p = 0.26). Tumor and liver fibrosis were comparable before and after neoadjuvant therapy in patients with MPR versus non-responders. Changes in tumor size and immune cell infiltration and activation are candidate predictive markers of pathologic response to neoadjuvant immunotherapy in patients with resectable HCC.

Establishing prognostic models for intrahepatic cholangiocarcinoma based on immune cells.

Intrahepatic cholangiocarcinoma (ICC) is a malignant liver tumor that is challenging to treat and manage and current prognostic models for the disease are inefficient or ineffective. Tumor-associated immune cells are critical for tumor development and progression. The main goal of this study was to establish models based on tumor-associated immune cells for predicting the overall survival of patients undergoing surgery for ICC. To establish 1-year and 3-year prognostic models for ICC after surgical resection. Immunohistochemical staining was performed for CD4, CD8, CD20, pan-cytokeratin (CK), and CD68 in tumors and paired adjacent tissues from 141 patients with ICC who underwent curative surgery. Selection of variables was based on regression diagnostic procedures and goodness-of-fit tests (PH assumption). Clinical parameters and pathological diagnoses, combined with the distribution of immune cells in tumors and paired adjacent tissues, were utilized to establish 1- and 3-year prognostic models. This is an important application of immune cells in the tumor microenvironment. CD4, CD8, CD20, and CK were included in the establishment of our prognostic model by stepwise selection, whereas CD68 was not significantly associated with the prognosis of ICC. By integrating clinical data associated with ICC, distinct prognostic models were derived for 1- and 3-year survival outcomes using variable selection. The 1-year prediction model yielded a C-index of 0.76 95% confidence interval (95%CI): 0.65-0.87 and the 3-year prediction model produced a C-index of 0.69 (95%CI: 0.65-0.73). Internal validation yielded a C-index of 0.761 (95%CI: 0.669-0.853) for the 1-year model and 0.693 (95%CI: 0.642-0.744) for the 3-year model. We developed Cox regression models for 1-year and 3-year survival predictions of patients with ICC who underwent resection, which has positive implications for establishing a more comprehensive prognostic model for ICC based on tumor immune microenvironment and immune cell changes in the future.

Expression of the large amino acid transporter SLC7A5/LAT1 on immune cells is enhanced in primary sclerosing cholangitis-associated cholangiocarcinoma and correlates with poor prognosis in cholangiocarcinoma

Biliary tract cancers (BTC) are rare lethal malignancies arising along the biliary tree. Unfortunately, effective therapeutics are lacking and the prognosis remains dismal even for patients eligible for surgical resection. Therefore, novel therapeutic approaches along with early detection strategies and prognostic markers are urgently needed. Primary sclerosing cholangitis (PSC) is a chronic disease of the bile ducts leading to fibrosis and ultimately cirrhosis. Patients with PSC have a 5–20% lifetime risk of developing BTC; yet the molecular mechanisms that underpin the development of PSC- associated biliary tract cancer (PSC-BTC) have not been fully elucidated. SLC7A5/LAT1, a large amino acid transporter, has been shown to modulate cell growth and proliferation as well as other intracellular processes in solid tumors. In this study, we evaluated SLC7A5 expression in PSC-BTC and in sporadic BTC (sBTC) and its role as a prognostic factor. Analysis of the TGCA cohort showed a significantly higher expression of SLC7A5 in tumor tissue compared with adjacent normal tissue (p = 0.0002) in BTC. In our cohort (comprised of 69 BTC patients including 16 PSC-BTC), SLC7A5/LAT1 expression was observed in both tumor and intratumoral immune cells. A significantly higher percentage of SLC7A5/LAT1 positive intratumoral immune cells was observed in PSC-BTC compared with sBTC (p = 0.004). Multiplex immunofluorescence co-detection by indexing (CODEX) analysis identified CD4+ regulatory T lymphocytes and CD68+ macrophages as the largest immune cell populations expressing LAT1.SLC7A5/LAT1 expression as well as a higher intratumoral infiltration of SLC7A5/LAT1-positive immune cells (≥2%) were associated with a shorter overall survival in our cohort (LogRank test, p = 0.04 and p = 0.008; respectively). SLC7A5/LAT1 expressing tumors are higher staged tumors (pT3/4 versus pT1/2, p = 0.048).These results underline the potential use of SLC7A5/LAT1 as a prognostic marker in BTC. Furthermore, the higher frequency of SLC7A5/LAT1 positive immune cells in PSC-BTC compared to sBTC may hint at the potential role of SLC7A5/LAT1 in inflammation-driven carcinogenesis.

MRNA vaccines: A powerful tool in cancer treatment

As an emerging immunotherapy, cancer vaccine is a method of introducing tumor antigens, genes encoding tumor antigens, immune cells and molecules into the body to activate specific immune responses to kill tumors. In April 2010, the world's first related drug, previz, was approved for marketing in United States. The drug extracts peripheral blood mononuclear cells from patients' autoimmune cells, activates them in vitro and then infuses them back into the treatment of asymptomatic or mildly symptomatic hormone-refractory advanced prostate cancer. mRNA vaccines have attracted much attention because of their high efficacy, specificity, versatility, ability to develop rapidly on a large-scale, low-cost production potential and safety. The mRNA vaccines and nano-agent delivery technology are considered to have great potential in cancer immunotherapy. In recent years, developments in the design and delivery methods of mRNA vaccines have accelerated the development and use of mRNA vaccinations against cancer in clinical settings. This review introduces optimization strategies of mRNA vaccinations against cancer, including coding and non-coding region optimization, and emphasizes mRNA vaccine delivery systems. Multiple nanoparticle vectors have currently been developed to improve mRNA stability and administration efficiency. At the same time, we discuss the applications of cancer therapy with mRNA vaccinations, its limitations and future challenges.

Deciphering a hydrogen sulfide-related signature to supervise prognosis and therapeutic response in colon adenocarcinoma.

Hydrogen sulfide (H2S) is a critical molecule that participates in various molecular, physiological, and pathophysiological processes in biological systems. Emerging evidence has revealed that H2S is implicated in the progression of colon cancer and immune escape. Against this backdrop, the present study aimed to construct a prognostic risk feature for colon adenocarcinoma (COAD) by leveraging hydrogen sulfide-related genes (HSRG). Transcriptomic data and corresponding clinical-pathological information of colon cancer were obtained from The Cancer Genome Atlas and gene expression omnibus databases. Univariate Cox regression analysis was employed to assess the prognostic relevance of HSRG. Consensus clustering was utilized to perform molecular subtyping of COAD, followed by comparison of immune cell infiltration, drug sensitivity, and immune therapy response between subtypes. Differential expression gene and gene set enrichment analyses were conducted between subtypes. Univariate, lasso, and multivariate Cox regression analyses were applied to construct a prognostic model derived from HSRG. A nomogram model for predicting COAD prognosis was constructed and evaluated. In this study, we identified 12 HSRGs that were associated with COAD prognosis. Consensus clustering analysis revealed 3 COAD molecular subtypes that exhibited significant differences in terms of prognosis, tumor immune cell infiltration, drug sensitivity, and immune therapy response. Gene set enrichment analysis demonstrated that immunoregulatory processes were significantly suppressed in the poor-prognosis subtype while Wnt-related pathways and processes were significantly upregulated. Based on the differentially expressed genes between subtypes, we constructed a risk model comprising 11 genes that effectively distinguished high-risk patients from low-risk patients with significant associations with patient survival outcomes, drug treatment, pathological staging, and T staging. The HSRG-derived risk feature was an independent prognostic factor for COAD in drug treatment and pathological staging and could be integrated into a nomogram for prognosis prediction. Calibration curve, receiver operating characteristic curve, and decision curve analysis demonstrated excellent performance of the nomogram in evaluating COAD prognosis. Our study systematically assessed the prognostic significance of HSRG in COAD, identified HSRG-based molecular subtypes and risk features, and highlighted their potential utility in predicting prognosis and treatment response.

From Cancer to Immune Organoids: Innovative Preclinical Models to Dissect the Crosstalk between Cancer Cells and the Tumor Microenvironment

Genomic-oriented oncology has improved tumor classification, treatment options, and patient outcomes. However, genetic heterogeneity, tumor cell plasticity, and the ability of cancer cells to hijack the tumor microenvironment (TME) represent a major roadblock for cancer eradication. Recent biotechnological advances in organotypic cell cultures have revolutionized biomedical research, opening new avenues to explore the use of cancer organoids in functional precision oncology, especially when genomics alone is not a determinant. Here, we outline the potential and the limitations of tumor organoids in preclinical and translational studies with a particular focus on lung cancer pathogenesis, highlighting their relevance in predicting therapy response, evaluating treatment toxicity, and designing novel anticancer strategies. Furthermore, we describe innovative organotypic coculture systems to dissect the crosstalk with the TME and to test the efficacy of different immunotherapy approaches, including adoptive cell therapy. Finally, we discuss the potential clinical relevance of microfluidic mini-organ technology, capable of reproducing tumor vasculature and the dynamics of tumor initiation and progression, as well as immunomodulatory interactions among tumor organoids, cancer-associated fibroblasts (CAFs) and immune cells, paving the way for next-generation immune precision oncology.

Impact of T Cell Ratios on Survival in Pleural Mesothelioma: Insights from Tumor Microenvironment Analysis

Background: Immunotherapy has significantly improved overall survival in patients with pleural mesothelioma, yet this benefit does not extend to those with the epithelioid subtype. Tumor growth is believed to be influenced by the immune response. This study aimed to analyze the tumor microenvironment to gain a better understanding of its influence on tumor growth. Methods: The tumor immune cell infiltration of 188 patients with pleural mesothelioma was characterized by multiplex immunofluorescence staining for CD3+ cells (CD3+), CD4+ cells (CD3+/CD4+), CD8+ cells (CD3+/CD8+), Treg (CD3+/CD4+/CD8-/CD163-/Foxp3+), PD1 cells (PD1+), and T helper cells (CD3+/CD4+/CD8-/CD163-/FoxP3-). The distribution of specific immune cells was correlated with clinical parameters. Results: A total of 188 patients with pleural mesothelioma (135 epithelioid, 9 sarcomatoid, 44 biphasic subtypes) were analyzed. The median age was 64.8 years. Overall survival was significantly longer in the epithelioid subtype than in the non-epithelioid subtype (p = 0.016). The presence of PD-L1 expression had a negative effect on overall survival (p = 0.041). A high ratio of CD4+ cells to regulatory T cells was associated with a significantly longer overall survival of more than 12 months (p = 0.015). The ratio of CD4+ cells to regulatory T cells retained its significant effect on overall survival in the multivariate analysis. Conclusions: Distinct differences in the T cell immune infiltrates in mesothelioma are strongly associated with overall survival. The tumor microenvironment could therefore serve as a source of prognostic biomarkers.

A Tumor-Immune System with Switching Threshold Depending on Tumor Cells and Its Change Rate

Tumor prevention and control, taking into account the load of tumor cells or immune cells, are often described by Filippov systems, usually with a smooth function on the right-hand side describing the tumor immunity. However, these systems only consider the load of tumor cells or immune cells as a threshold function, which suggest that patients will only be treated if the load of tumor cells or immune cells exceeds a certain threshold. As a result, there may be an excessive growth of tumor cells or a rapid decrease in immune cells, which can lead to undesirable results. Considering this problem, we propose a weighted switching system using the load of tumor cells and its change rate as the threshold. Theoretical analysis and numerical simulation of the system are performed by changing the threshold value. We find that in the proposed nonlinear weighted threshold control method for the system, on the one hand, the system can produce rich dynamical behaviors, including many possible cases of bistability and sliding segments of the system, etc., and on the other hand, it is also very important for the prevention and control of tumor.

NPRL2 promotes TRIM16-mediated ubiquitination degradation of Galectin-3 to prevent CD8+T lymphocyte cuproptosis in glioma

BackgroundOur previous study found that tumor suppressor nitrogen permease regulator like-2(NPRL2) is frequently downregulated in glioma, leading to malignant growth. However, NPRL2-mediated crosstalk between tumor cells and immune cells remains unclear.MethodsThe regulatory effects of NPRL2 on tripartite motif–containing protein 16(TRIM16) dependent ubiquitination degradation of Galectin-3(Gal-3) were explored. The effects of Gal-3 on copper uptake, immunocompetence and cuproptosis were investigated in CD8+T lymphocytes(CD8+T cells). The ability of NPRL2 to protect CD8+T cells from Gal-3 damage was evaluated. Furthermore, the correlations among NPRL2, TRIM16, Gal-3 and CD8+T cell accumulation were analyzed in glioma clinical specimens.ResultsNPRL2 increased the TRIM16 expression via inactivation of ERK1/2, which in turn promoted the ubiquitination-mediated degradation of Gal-3 and diminished Gal-3 release from glioma cells. Moreover, Gal-3 accelerated copper uptake and triggered cuproptosis in CD8+T cells, whereas NPRL2 increased CD8+T cell recruitment and prevented impairment of CD8+T cells by Gal-3. Clinical samples revealed that NPRL2 expression was positively associated with TRIM16 expression and negatively correlated with Gal-3, but Gal-3 expression was negatively associated with CD8+T cell accumulation.ConclusionGlioma-derived NPRL2/TRIM16/Gal-3 axis participates in the regulation of CD8+T cell cuproptosis, which provides a promising strategy to rescue the immune activity of CD8+T cells and reverse immunosuppression in glioma.

Spatial resolution of the head and neck cancer tumor microenvironment to identify tumor and stromal features associated with therapy response.

Head and neck cancer (HNC) is the seventh most common cancer globally, resulting in 440 000 deaths per year. While there have been advancements in chemoradiotherapy and surgery, relapse occurs in more than half of HNCs, and these patients have a median survival of 10 months and a 2-year survival of < 20%. Only a subset of patients displays durable benefits from immunotherapies in metastatic and recurrent HNC, making it critical to understand the tumor microenvironment (TME) underpinning therapy responses in HNC. To recognize biological differences within the TME that may be predictive of immunotherapy response, we applied cutting-edge geospatial whole-transcriptome profiling (NanoString GeoMx Digital Spatial Profiler) and spatial proteomics profiling (Akoya PhenoCycler-Fusion) on a tumor microarray consisting of 25 cores from 12 patients that included 4 immunotherapy-unresponsive (8 cores) and 2 immunotherapy-responsive patients (5 cores), as well as 6 immunotherapy naïve patients (12 cores). Through high-plex, regional-based transcriptomic mapping of the tumor and TME, pathways involved with the complement system and hypoxia were identified to be differentially expressed in patients who went on to experience a poor immunotherapy response. Single-cell, targeted proteomic analysis found that immune cell infiltration of the cancer cell mass and interactions of CD8 Tcells with tumor and other immune cells were associated with positive immunotherapy response. The relative abundance of specific tumor phenotypes and their interactions with various immune cells was identified to be different between response groups. This study demonstrates how spatial transcriptomics and proteomics can resolve novel alterations in the TME of HNC that may contribute to therapy sensitivity and resistance.

Oncogenic miRNAs dependent photothermal-immunotherapy enhanced by on-demand manipulation of immunosuppressive microenvironment using engineered gold nanoparticles for effective treatment of primary and metastatic tumor

Although photothermal-immunotherapy has emerged as a promising strategy to treat malignant tumor, unexpected thermal damage, continuous tumor migration and immunosuppressive microenvironment still limit its application. To improve the therapeutic efficacy, two types of engineered gold nanoparticles (SNAs@CCM and SNA2@CCM-Man) were fabricated. The SNAs@CCM are cancer cell membrane (CCM, tumor targeting agent) coated spherical nucleic acids (SNAs, miR-21 catcher and photothermal agent). The SNAs contained two types (SNA1 and SNA2), which are gold nanoparticles grafted with the first half and second half of anti-miR-21 oligonucleotide, respectively. The SNA2@CCM-Man are CCM coated SNA2 (miR-21 catcher) in which the CCM was functionalized by mannose (Man, macrophage targeting agent). These nanoparticles were expected to not only perform miR-21 dependent photothermal-immunotherapy in tumor cells to precisely damage primary tumor and activate the anti-tumor immune response against metastatic tumor, but also restrain the miR-21 expression in tumor-associated M2-type macrophages to promote their polarization to tumor-suppressed M1-type macrophages for on-demand manipulation of immunosuppressive microenvironment avoiding immune escape. After injection, the SNAs@CCM and SNA2@CCM-Man would respectively internalize by tumor cells and M2-type macrophages via homologous targeting of cancer cell membranes and receptor-ligand interactions of mannose. Upon entry into tumor cells, the SNAs specifically hybridized with the over-expressed miR-21 in these cells, thereby silencing the oncogenic miR-21 and leading to significant intracellular aggregation of SNAs. These aggregated SNAs not only served as miR-21 catcher, but performed a strong absorption in the near-infrared region acting as in situ photothermal agents. Under NIR irradiation, these photothermal agents enable highly selective photothermal-immunotherapy, inducing the immunogenic death of primary tumors and subsequent anti-tumor immune responses via the maturation of dendritic cells (DCs) and activation of T cells. Moreover, the miR-21 plunder process also effectively inhibited the migration of tumor cells to further enhance the therapeutic efficacy. Simultaneously, the similar miR-21 capture process mediated by SNA2 in M2 macrophages continuously induced macrophage polarization towards the anti-tumor M1 type, which was able to reverse the immunosuppressive microenvironment in tumor tissue to avoid immune escape and enhance immunotherapy. Both in vivo and in vitro experiments demonstrated that our nanoparticles could inhibit the primary tumor and its metastasis through miR-21-dependent photothermal immune activation and directional polarization of macrophages, providing a promising strategy for on-demand synchronous modulation of tumor cells and immune cells in tumor tissues for better malignant tumor therapy.

The role of cytoreductive nephrectomy in the era of immune checkpoint inhibitors: A review of current evidence and ongoing trials.

Renal cell carcinoma (RCC) was diagnosed in over 400 000 individuals globally in 2020, making it a significant global health concern. The incidence of RCC varies by region and overall mortality rates have been declining. This decline is attributed in part to advancements in early cancer detection through imaging and the development of more effective systemic therapies. Cytoreductive nephrectomy (CN) was adopted as a standard treatment for metastatic RCC (mRCC) based on clinical experience and early clinical trials. However, the treatment landscape has shifted with the introduction of tyrosine kinase inhibitors (TKI) in 2007 and, more recently, immune checkpoint inhibitors (ICIs). Dual ICI therapy and combinations of ICIs with TKIs are collectively referred to as immuno-combination therapies and have become standard first-line treatments. This review examines the evolving role of CN in the era of immuno-combination therapies, with a focus on patient selection and the timing of surgery. The immunogenic nature of RCC, characterized by spontaneous tumor regression and immune cell infiltration, suggests a potential benefit from combining CN with ICI therapy to enhance treatment outcomes. This is supported by several clinical studies that reported improved outcomes; however, these were limited by their retrospective nature. Ongoing clinical trials, such as NORDIC-SUN, PROBE, and SEVURO-CN, are expected to provide critical insights into the role of CN in the ICI era. Their findings will ultimately guide future clinical decision-making and further refine treatment strategies for mRCC.

The expression of immune checkpoint proteins PD-L1 and TIM3 in mouse and human head and neck squamous cell carcinoma.

The aim of this study was to examine the expression of programmed death-ligand 1 (PD-L1) and of T cell immunoglobulin and mucin domain-containing protein (TIM3) in oral epithelial dysplasia and head and neck squamous cell carcinoma (HNSCC). Mouse HNSCC was induced with 4-nitroquinoline-1 oxide (4NQO). Oral epithelial dysplastic lesions, carcinoma in situ and HNSCC lesions were stained with anti-PD-L1 and TIM3 antibodies. The expression of PD-L1 and TIM3 in tumor cells and immune cells was semiquantitatively measured and compared. In parallel, human dysplasia and HNSCC were stained with anti-PD-L1 and anti-TIM3. The expression pattern of PD-L1+ and TIM3+ cells was further compared. In human and mouse samples both PD-L1 and TIM3 were found to be expressed in neoplastic and immune cells in HNSCC, but not in dysplasia. There was no significant difference in PD-L1 and TIM3 expression between metastatic and nonmetastatic HNSCC. We conclude that the 4NQO-induced mouse HNSCC model may be an excellent preclinical model for immune checkpoint therapy.

Macrophage polarization-related gene signature for risk stratification and prognosis of survival in gliomas.

Macrophage polarization plays an essential role in tumour immune cell infiltration and tumour growth. In this study, we selected a series of genes distinguishing between M1 and M2 macrophages and explored their prognostic value in gliomas. A total of 170 genes were included in our study. The CGGA database was used as the training cohort and the TCGA database as the validation cohort. The biological processes and functions were identified by GO and KEGG analysis. Kaplan-Meier analysis was used to compare survival differences between groups. Importantly, we built a risk score model using Cox regression analysis based on the CGGA and verified it in the TCGA database and our sequencing data. Patients with gliomas in the high-risk group were associated with high pathologic grade, IDH WT status, MGMT promoter unmethylation, 1p19q non-codeletion and prone to have a poor outcome. GEPIA results revealed that CD300C, CNRIP1 and MYO1F are the most related genes of immune infiltrations. The differential expression of these genes between low-grade gliomas and glioblastomas was confirmed by q-RT-PCR. Macrophage polarization-related gene signatures can predict the malignancy and outcome of patients with gliomas and might act as a promising target for glioma immunotherapy in the future.