In this study, we aimed to investigate disparities in the tumor immune microenvironment (TME) between primary and metastatic malignant melanoma (MM) using single-cell RNA sequencing (scRNA-seq) and to identify metastasis-related T cell marker genes (MRTMGs) for predicting patient survival using machine learning techniques. We identified 6 distinct T cell clusters in 10×scRNA-seq data utilizing the Uniform Manifold Approximation and Projection (UMAP) algorithm. Four machine learning algorithms highlighted SRGN, PMEL, GPR143, EIF4A2, and DSP as pivotal MRTMGs, forming the foundation of the MRTMGs signature. A high MRTMGs signature was found to be correlated with poorer overall survival (OS) and suppression of antitumor immunity in MM patients. We developed a nomogram that combines the MRTMGs signature with the T stage and N stage, which accurately predicts 1-year, 3-year, and 5-year OS probabilities. Furthermore, in an immunotherapy cohort, a high MRTMG signature was associated with an unfavorable response to anti-programmed death 1 (PD-1) therapy. In conclusion, primary and metastatic MM display distinct TME landscapes with different T cell subsets playing crucial roles in metastasis. The MRTMGs signature, established through machine learning, holds potential as a valuable biomarker for predicting the survival of MM patients and their response to anti-PD-1 therapy.

Previous studies in the B16F10 mouse melanoma model have demonstrated that combining a DNA vaccine comprised of regions of gp100 and tyrosinase-related protein 2 fused to macrophage-inflammatory protein 3-alpha (MIP3α) with recombinant interferon alpha (IFN) and 5-Aza-2'-deoxycytidine (5Aza) treatments resulted in significantly greater antitumor activity and immunogenicity in the tumor microenvironment (TME). This brief report details that the combination of vaccine with treatments IFN and 5Aza results in an increase in the TME of a distinct CD11c+ CD8+ T-cell population. This cell population correlates with tumor size, is primarily comprised of effector or effector memory T cells, and has a more robust response to ex vivo stimulation as compared with CD11c- CD8+ T cells. In conclusion, this combination therapy results in a greater presence of highly active effector CD8+ T cells expressing CD11c in the TME, which are likely primary contributors to treatment efficacy.

We evaluated the BYSL content and underlying mechanism in melanoma (SKCM) overall survival (OS). In this study, we used a comprehensive approach combining bioinformatics tools, including miRNA estimation, quantitative real-time polymerase chain reaction (qRT-PCR) of miRNAs, E3 ligase estimation, STRING analysis, TIMER analysis, examination of associated upstream modulators, protein-protein interaction (PPI) analysis, as well as retrospective and survival analyses, alongside clinical sample validation. These methods were used to investigate the content of BYSL, its methylation status, its relation to patient outcome, and its immunologic significance in tumors. Our findings revealed that BYSL expression is negatively regulated by BYSL methylation. Analysis of 468 cases of SKCM RNA sequencing samples demonstrated that enhanced BYSL expression was associated with higher tumor grade. We identified several miRNAs, namely hsa-miR-146b-3p, hsa-miR-342-3p, hsa-miR-511-5p, hsa-miR-3690, and hsa-miR-193a-5p, which showed a strong association with BYSL levels. Furthermore, we predicted the E3 ubiquitin ligase of BYSL and identified CBL, FBXW7, FZR1, KLHL3, and MARCH1 as potential modulators of BYSL. Through our investigation, we discovered that PNO1, RIOK2, TSR1, WDR3, and NOB1 proteins were strongly associated with BYSL expression. In addition, we found a close association between BYSL levels and certain immune cells, particularly dendritic cells (DCs). Notably, we observed a significant negative correlation between miR-146b-3p and BYSL mRNA expression in SKCM sera samples. Collectively, based on the previously shown evidences, BYSL can serve as a robust bioindicator of SKCM patient prognosis, and it potentially contributes to immune cell invasion in SKCM.

From databases of the Cancer Genome Atlas (TCGA) and GSE42568, transcriptome data of breast cancer patients was obtained. Then, anoikis-related genes (ANRGs) were identified and constructed a risk score system. As a threshold value, the median risk score was used to stratify patients into low-risk and high-risk groups. Kaplan-Meier analysis was then conducted to evaluate the prognostic ability of the risk score system, which was validated using GSE7390. Furthermore, we identified potential enrichment of function and tumor immune infiltration in the model. Finally, the biological functions of a risk gene (EPB41L4B) in breast cancer were investigated through in vitro experiments. We constructed a risk score system via 9 prognosis ANRGs (CXCL2, EPB41L4B, SLC7A5, SFRP1, SDC1, BHLHE41, SPINT1, KRT15, and CD24). The Kaplan-Meier analysis showed that both TCGA-BRCA (training set) and GSE7390 (testing set) patients with high-risk status had significantly worse survival outcomes. In addition, the calibration plots were in good agreement with the prognosis prediction. Breast cancer patients with immunosuppressive microenvironment could be screened using risk groups since risk scores were correlated negatively with ESTIMATE score, tumor-infiltration lymphocytes, immune checkpoints, and chemotactic factors. Furthermore, cellular viability and cell migration of cancerous breast cells were inhibited and apoptosis was promoted by down-regulation of EPB41L4B gene expression. Based on ANRGs, a 9-gene prognostic model could be developed to predict breast cancer prognosis; moreover, patients of the high-risk group were in an immunosuppressed tumor microenvironment.

Triple-negative breast cancer (TNBC) lacks sensitivity to endocrine and targeted therapies, exhibiting high recurrence and poor prognosis postchemotherapy. Tumor-associated macrophages (TAMs) play a crucial role in cancer progression. Vitexin, a compound with diverse pharmacological effects including anti-cancer activity, remains unexplored in its impact on TAMs during TNBC development. This study aimed to investigate vitexin's effect on TNBC, its regulation of macrophage polarization (M1 vs. M2), and the underlying EGFR/PI3K/AKT/mTOR pathway. Our results demonstrated that vitexin suppressed the proliferation and invasion of TNBC cells (MDA-MB-231 and BT549) while inducing macrophage mediators that further inhibited cancer cell migration. Vitexin also promoted M1 polarization and suppressed M2 polarization, affecting EGFR phosphorylation and downstream signaling. In vivo, vitexin inhibited tumor growth, favoring M1 polarization and suppressing M2 polarization, with synergistic effects when combined with doxorubicin (Dox). These findings offer novel insights into vitexin's potential in TNBC treatment.

Tumor immunotherapy has recently gained popularity as a cancer treatment strategy. The molecular mechanism controlling immune infiltration in lung adenocarcinoma (LUAD) cells, however, is not well characterized. Investigating the immune infiltration modulation mechanism in LUAD is crucial. LUAD patient samples were collected, and HES6 expression and immune infiltration level of CD8 + T cells in patient tissues were analyzed. Bioinformatics was utilized to identify binding relationship between E2F1 and HES6, and enrichment pathway of HES6. The binding of E2F1 to HES6 was verified using dual-luciferase and ChIP experiments. HES6 and E2F1 expression in LUAD cells was detected. LUAD cells were co-cultured with CD8 + T cells, and the CD8 + T cell killing level, IFN-γ secretion, and CD8 + T-cell chemotaxis level were measured. Expression of key genes involved in oxidative phosphorylation was detected, and the oxygen consumption rate of LUAD cells was assessed. A mouse model was constructed to assay Ki67 expression and apoptosis in tumor tissue. High expression of HES6 promoted CD8 + T-cell infiltration and enhanced T-cell killing ability through oxidative phosphorylation. Further bioinformatics analysis, molecular experiments, and cell experiments verified that E2F1 negatively regulated HES6 by oxidative phosphorylation, which suppressed CD8 + T-cell immune infiltration. In addition, in vivo assays illustrated that silencing HES6 repressed tumor cell immune evasion. E2F1 inhibited HES6 transcription, thereby mediating oxidative phosphorylation to suppress immune infiltration of CD8 + T cells in LUAD. The biological functions and signaling pathways of these genes were analyzed, which may help to understand the possible mechanisms regulating immune infiltration in LUAD.

Therapeutic options for synovial sarcoma (SyS) have not evolved for several decades and the efficacy of second-line treatments is very limited. The expression of a large family of proteins known as cancer testis antigens (CTAs) in SyS has spurred the development of targeted T-cell therapies currently in clinical trials, such as those aimed at melanoma-associated antigen (MAGE)-A4 and New York esophageal squamous cell carcinoma 1 (NY-ESO-1), which have shown promising clinical efficacy. Extensive knowledge of the prevalence of expression and coexpression of CTAs is critical to design T-cell therapies with optimal coverage of the patient population. We analyzed the expression of CTAs of the MAGE-A family as well as NY-ESO-1 and preferentially expressed antigen in melanoma (PRAME) by RNA sequencing in a large cohort of 133 SyS samples from patients registered in the French sarcoma database (NETSARC+). Among MAGE-As, MAGE-A4 had the highest prevalence (65%), followed by MAGE-A10 (15%) and MAGE-A9 (13%). Almost all samples (92%) expressing any of the MAGE-As also expressed MAGE-A4. NY-ESO-1 was expressed in 65% of samples, with a large but incomplete overlap with MAGE-A4, whereas PRAME was present in 121 (91%) samples. Complementary immunohistochemical analyses were used to establish the positive correlation between RNA and protein expression for MAGE-A4 and NY-ESO-1. These data inform the strategy for optimal coverage of the SyS patient population with T-cell therapies, offering patients with SyS new options for single or combined second lines of treatment.

Cancer remains a leading cause of death worldwide, but immunotherapies hold promises to cure it by awaking the patient's immune system to provide long-term protection. Cell therapies, involving the infusion of immune cells, either directly or genetically modified, are being developed to recognize and destroy cancer cells. Here, we explored the potential of a new synthetic circuit to reprogram B cells to cure cancers. This circuit consists in a sensor (a membrane-anchored IgG1), a transducer (a fragment of the NR4A1 promoter) and an effector molecule. Upon recognition of its target, this sensor triggers signaling pathways leading to the activation of the transducer and to effector expression (here, a reporter molecule). We showed that this circuit could discriminate tumors expressing the target antigen from those that did not, in a dose dependent manner in vitro. Going further, we replaced the original membrane-anchored sensor by an immunoglobulin expression cassette that can not only be membrane-anchored but also be secreted depending on B-cell maturation status. This allowed concomitant activation of the circuit and secretion of transgenic antibodies directed against the targeted antigen. Of note, these antibodies could correctly bind their target and were recognized by FcR expressed at the surface of immune cells, which should synergically amplify the action of the effector. The potential of reprogrammed B cells remains to be assessed in vivo by implementing a therapeutic effector. In the future, B-cell reprogramming platforms should allow personalized cancer treatment by adapting both the sensor and the therapeutic effectors to patients.

Pembrolizumab plus chemotherapy has been indicated as the first-line treatment for metastatic or unresectable locally advanced esophageal cancer. However, pretreatment biomarkers for predicting clinical outcomes remain unclear. We investigated the predictive value of inflammation-based prognostic scores in patients treated with pembrolizumab and chemotherapy. The Prognostic Nutritional Index (PNI), C-reactive protein/albumin ratio (CAR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were calculated before initial treatment in 65 eligible patients with metastatic or unresectable locally advanced esophageal cancer receiving pembrolizumab plus CF therapy, and the relationship between these biomarkers and clinical outcomes was analyzed. The objective response rate (ORR) and progression disease (PD) were observed in 51% and 21% of all patients. Patients with PNI<39 have significantly worse treatment responses than those with PNI≥39 (ORR; 28% vs. 60%, PD; 44% vs. 13%, P =0.020). Progression-free survival (PFS) is significantly associated with the PNI and CAR ( P <0.001 and P =0.004, respectively). Overall survival (OS) is associated with PNI, CAR, and PLR ( P <0.001, P =0.008, and P =0.018, respectively). The PNI cutoff value of 39 is identified as an independent factor for PFS (odds ratio=0.27, 95% CI: 0.18-0.81, P =0.012) and OS (odds ratio=0.22, 95% CI: 0.08-0.59, P =0.003). Patients with PNI<39 have significantly worse 6-month PFS and 1-year OS than those with PNI≥39 (27.8% vs. 66.7%, 27.2% vs. 81.1%, respectively). In conclusion, inflammation-based prognostic scores are associated with survival in patients treated with pembrolizumab plus CF therapy. Pretreatment PNI is a promising candidate for predicting treatment response and survival.

The infiltration of CD8 + T cells in the tumor microenvironment is associated with better survival and immunotherapy response. However, their roles in gastric cancer have not been explored so far. In here, the profiles of GC gene expression were collected from The Cancer Genome Atlas database. Single-cell transcriptomic data originated from GSE134520. Cell clustering, annotation, and CD8 + T-cell differential genes were from the TISCH database. We determined 896 CD8 + T-cell differential genes by scRNA-seq analysis. After integrating immune-related genes, 174 overlapping genes were obtained and a novel risk model was subsequently built. The performance of CD8 + T-cell-associated gene signature was assessed in the training and external validation sets. The gene signature showed independent risk factors of overall survival for GC. A quantitative nomogram was built to enhance the clinical efficacy of this signature. Furthermore, low-risk individuals showed higher mutation status, higher immune checkpoint expression, low Tumour Immune Dysfunction and Exclusion (TIDE) scores, and higher IPS-PD-1 combined IPS-CTLA4 scores, indicating a greater response to immunotherapy. In addition, analysis of IMvigor210 immunotherapy cohort demonstrated that low-risk individuals had a favorable response to prognosis and immunotherapy. In conclusion, we generated a CD8 + T-cell-related signature that can serve as a promising tool for personalized prognosis prediction and guiding decisions regarding immunotherapy in GC patients.

Interleukin-21 (IL-21) is an important antitumor cytokine that contributes to the proliferation and differentiation of CD8 + T cells. It has been proven to enhance the response to immune checkpoint inhibitors (ICIs) in various solid tumors. However, its role in hepatocellular carcinoma (HCC) has not yet been clarified. In this research, we aimed to investigate the antitumor effect of IL-21 in HCC and its effect on ICI treatment. Through transcriptome sequencing analysis and immunohistochemistry validation, we found that patients with high IL-21 expression had a better prognosis. HCCs with high expression of IL-21 had higher infiltration of CD8 + T cells, increased expression of immune checkpoints, and an improved response to ICI treatment. In conclusion, IL-21 can enhance the efficacy of ICI treatment and improve the prognosis of patients by promoting the infiltration of CD8 + T cells and the expression of immune checkpoint-related genes.

Haemophagocytic lymphohistiocytosis (HLH) is a rare and fatal immune-related event of nivolumab. The clinical features of nivolumab-induced HLH are unclear. The aim of this study was to investigate the clinical features, treatment, and outcome of nivolumab-induced HLH to provide information for prevention and treatment. We collected nivolumab-induced HLH-related case reports for retrospective analysis by searching the Chinese and English databases from inception to March 31, 2024. HLH developed in 24 patients, with a median age of 57 years (range: 26, 86). The onset of HLH symptoms ranged from 3 days to 68 weeks after administration, with a median time of 5.5 weeks. Fever (87.5%) was the most common symptom and could be accompanied by splenomegaly (66.7%) and hepatomegaly (20.8%). Laboratory tests revealed hemocytopenia, hypertriglyceridemia, hypofibrinogenemia, hyperferritinemia, increased sCD25, and decreased natural killer cell activity. Bone marrow biopsy showed hemophagocytosis (62.5%). After discontinuing nivolumab, HLH patients receiving systemic steroids, tocilizumab, and anakinra showed positive results. As a rare adverse reaction of nivolumab, HLH requires rapid diagnosis and appropriate treatment based on clinical symptoms and laboratory tests. Tocilizumab and anakinra can be used as an effective treatment against the steroid HLH.

Gastric cancer (GC) is a significant worldwide health concern and is a leading cause of cancer-related mortality. Immunotherapy has arisen as a promising strategy to stimulate the patient's immune system in combating cancer cells. Nevertheless, the effectiveness of immunotherapy in individuals with gastric cancer (GC) is not yet optimal. Thus, it is crucial to discover biomarkers capable appof predicting the advantages of immunotherapy for tailored treatment. The tumor microenvironment (TME) and its constituents, including cancer-associated fibroblasts (CAFs), exert a substantial influence on immune responses and treatment outcomes. In this investigation, we utilized single-cell RNA sequencing to profile CAFs in GC and established a scoring method, referred to as the CAF score (CAFS), for the prediction of patient prognosis and response to immunotherapy. Through our analysis, we successfully identified distinct subgroups within CAFs based on CAF score (CAFS), namely CAFS-high and CAFS-low subgroups. Notably, we noted that individuals within the CAFS-high subgroup experienced a lessF favorable prognosis and displayed diminished responsiveness to immunotherapy in contrast to the CAFS low subgroup. Furthermore, we analyzed the mutation and immune characteristics of these subgroups, identifying differentially mutated genes and immune cell compositions. We established that CAFS could forecast treatment advantages in patients with gastric cancer, both for chemotherapy and immunotherapy. Its efficacy was additionally confirmed in contrast to other biomarkers, including Tumor Immune Dysfunction and Exclusion (TIDE) and Immunophenotypic Score (IPS). These findings emphasize the clinical relevance and potential utility of CAFS in guiding personalized treatment strategies for gastric cancer.

Hepatocellular carcinoma (HCC) is the most common type of liver cancer and is associated with high morbidity and mortality rates. The aims of this study were to investigate the immune-promoting action of nucleolar and spindle-associated protein 1 (NUSAP1) and identify an immunotherapy target for HCC. The Cancer Genome Atlas (TCGA) was used to analyze interaction molecules and immune correlation. The interaction between NUSAP1 and SHC binding and spindle associated 1 (SHCBP1) was examined. The role of the SHCBP1/Janus kinase 2/signal transducer and activator of transcription 3 (SHCBP1/JAK2/STAT3) pathway in this process was explored. After co-culture with HCC cell lines, the differentiation of peripheral blood mononuclear cells (PBMCs) into dendritic cells (DC) was evaluated by measuring the expression of surface factors CD1a and CD86. Pathological tissues from 50 patients with HCC were collected to validate the results of cell experiments. The expression levels of CD1a and CD86 in tissues were also determined. The results show that NUSAP1 interacted with SHCBP1 and was positively correlated with DC. In HCC cell lines, an interaction was observed between NUSAP1 and SHCBP1. It was verified that NUSAP1 inhibited the JAK2/STAT3 phosphorylation pathway by blocking SHCBP1. After co-culture, the levels of CD1a and CD86 in PBMC were elevated. In the clinical specimens, CD1a and CD86 expression levels were significantly higher in the high-NUSAP1 group versus the low-NUSAP1 group. In Summary, NUSAP1 enhanced immunity by inhibiting the SHCBP1/JAK2/STAT3 phosphorylation pathway and promoted DC generation and HCC apoptosis. NUSAP1 may be a target of immunotherapy for HCC.

We report the case of corneal transplant rejection in a 77-year-old male receiving durvalumab as consolidative therapy for stage IIIB non-small cell lung cancer (NSCLC). Following successful chemoradiation and initiation of durvalumab, the patient underwent a right corneal transplant for corneal dystrophy. Six months after an initially stable post-transplant course, he developed progressive visual decline culminating in graft failure 1 year later despite treatment with prednisone eye drops. This case adds to the limited evidence implicating immune checkpoint inhibitors (ICIs) in corneal graft rejection, emphasizing the need for multidisciplinary evaluation and close monitoring of corneal transplant recipients undergoing ICI therapy.

RAD51, a key recombinase that catalyzes homologous recombination (HR), is commonly overexpressed in multiple cancers. It is curial for DNA damage repair (DDR) to maintain genomic integrity which could further determine the therapeutic response. Herein, we attempt to explore the clinical value of RAD51 in therapeutic guidance in muscle-invasive bladder cancer (MIBC). In this retrospective study, a total of 823 patients with MIBC were included. Zhongshan hospital (ZSHS) cohort (n=134) and The Cancer Genome Atlas-Bladder Cancer (TCGA-BLCA) cohort (n=391) were included for the investigation of chemotherapeutic response. The IMvigor210 cohort (n=298) was utilized to interrogate the predictive efficacy of RAD51 status to programmed cell death ligand-1 (PD-L1) blockade. In addition, the association of RAD51 with genomic instability and tumor immune contexture was investigated. Patients with RAD51 overexpression were more likely to benefit from both platinum-based chemotherapy and immunotherapy rather than RAD51-low patients. The TMB high PD-L1 high RAD51 high subgroup possessed the best clinical benefits from PD-L1 blockade. RAD51-high tumors featured by genomic instability were correlated to highly inflamed and immunogenic contexture with activated immunotherapeutic pathway in MIBC. RAD51 could serve as a prognosticator for treatment response to platinum-based chemotherapy and PD-L1 inhibitor in MIBC patients. Besides, it could also improve the predictive efficacy of TMB and PD-L1.

Autologous therapeutic tumor-infiltrating lymphocyte (TIL) therapy is a promising strategy to enhance antitumor immunity. Optimization of ex vivo TIL expansion could expand current immunotherapy options. Previous attempts to generate TIL in renal cell carcinoma (RCC) have been technically challenging. We applied a second-generation manufacturing process, currently used to generate the melanoma TIL product lifileucel, in RCC. Resected primary and metastatic RCC samples were processed using the Gen 2 manufacturing process comprising of pre-Rapid Expansion Protocol (pre-REP) and REP steps. We assessed REP TILs for viability and performed phenotypic and functional characterization. We correlated the tumor immune microenvironment (TIME) with successful TIL expansion. Eight of 11 RCC samples underwent successful REP. Three failed cases demonstrated low CD8/FoxP3 ratio and high expression of PD-1 within FoxP3 cells. Expression of exhaustion markers differed between the TIME and expanded TILs; the latter had a TIM3-high/PD-1-low phenotype but retained functional capacity comparable to lifileucel. The Gen 2 manufacturing process used for lifileucel successfully expanded functional TILs from RCC samples, enabling further study in a clinical trial. TIME features such as low CD8/FoxP3 ratio and high PD-1 expression within FoxP3 cells warrant study as potential biomarkers of successful TIL expansion.

Most patients with advanced melanomas have a known primary site [melanoma of known primary (MKP)]. However, 2%-9% of patients are diagnosed with melanoma metastasis of unknown primary (MUP). As MUP and MKP have similar UV-induced mutations and molecular signatures, it is proposed that the primary tumor has regressed completely in patients with MUP. As regression of the primary tumor could be indicative of enhanced recognition of melanoma antigens, we hypothesize that patients with advanced MUP have a better outcome compared with MKP.Patients with advanced MUP from 10 German university hospitals were retrospectively analyzed and matched with MKP based on the type of systemic treatment (BRAF and MEK inhibitors, PD-1 inhibitor monotherapy, combined CTLA-4 and PD-1 inhibitor therapy) therapy line (first or second line) and AJCC stage (IIIC, IV M1a-M1d). Three hundred thirty-seven patients with MUP were identified, and 152 treatments with PD-1 and CTLA-4 inhibitors, 142 treatments with PD-1 inhibitors, and 101 treatments with BRAF and MEK inhibitors were evaluated. Median time to treatment failure was significantly prolonged in patients with MUP treated with PD-1 monotherapy (17 mo, 95% CI: 9-25, P = 0.002) compared with MKP (5 mo, 95% CI: 3.4-6.6), as well as in MUP treated with combined PD-1 and CTLA-4 therapy (11 mo, 95% CI: 4.5-17.5, P < 0.0001) compared with MKP (4 mo, 95% CI: 2.9-5.1) Occurrence of immune-related adverse events and time to treatment failure for patients with BRAF and MEK inhibitors was similar in MKP and MUP. In our multicentre collective, patients with MUP have better outcomes under immunotherapy compared with MKP.

The study investigated the relationship between serum proinflammatory cytokine levels, cholesterol metabolism, and clinical outcome in cancer patients undergoing immune checkpoint inhibitors (ICIs). Peripheral blood was collected before therapy from ICI-treated advanced cancer patients. We retrospectively assessed plasma total cholesterol (TC), ABCA1- and ABCG1-mediated cholesterol efflux (CE), passive diffusion (PD), cholesterol loading capacity (CLC), and serum IL-6, IL-10, and TNF-α. The association between blood cholesterol parameters and inflammatory cytokines and their effect on overall survival (OS), progression-free survival (PFS), and clinical benefit (CB) from ICIs were statistically assessed. Among 70 consecutively enrolled patients (nonsmall cell lung cancer: 94%; renal cell carcinoma: 6%), TC, CLC, and cholesterol PD resulted significantly higher in IL-6 low and IL-10 low cases ( P <0.05), whereas ABCA1-mediated CE was increased in IL-10 high patients ( P =0.018). Uni- and multivariable analysis revealed meaningfully longer OS and PFS in IL-6 low (HR 2.13 and 2.97, respectively) and IL-10 low (HR 3.17 and 2.62) groups. At univariate analysis all cholesterol-related indices significantly correlated with OS and PFS, whereas at multivariate only high PD was validated as a protection factor (OS, HR 0.75; PFS, HR 0.84). Finally, uni- and multivariable showed a statistically significant inverse association of CB with ABCG1-CE (OR 0.62), as with IL-6 (OR 0.13) and IL-10 (OR 0.10). In-depth characterization of the interplay between blood cholesterol metabolism and immune-inflammatory cytokines might provide novel insights into the complex relationship among cancer, inflammation, lipids profile, and response to immunotherapy.

Melanoma-associated antigen-A (MAGE-A) is expressed in multiple cancers with restricted expression in normal tissue. We sought to assess the MAGE-A3/A6 expression profile as well as immune landscape in urothelial (UC) and non-small cell lung carcinoma (NSCLC). We also assessed co-expression of immune-associated markers, including programmed cell death ligand 1 (PD-L1) in tumor and/or immune cells, and assessed the effect of checkpoint inhibitor treatment on these markers in the context of urothelial carcinoma. We used formalin-fixed paraffin-embedded (FFPE) tissue sections from a variety of tumor types were screened by IHC for MAGE-A and PD-L1 expression. Gene expression analyses by RNA sequencing were performed on RNA extracted from serial tissue sections. UC tumor samples from patients treated with checkpoint inhibitors were assessed by IHC and NanoString gene expression analysis for MAGE-A and immune marker expression before and after treatment. Overall, 84 samples (57%) had any detectable MAGE-A expression. Detectable MAGE-A expression was present at similar frequencies in both tumor tissue types, with 41 (50%) NSCLC and 43 (64%) UC. MAGE-A expression was not significantly changed before and after checkpoint inhibitor therapy by both IHC and NanoString mRNA sequencing. Other immune markers were similarly unchanged post immune checkpoint inhibitor therapy. Stable expression of MAGE-A3/A6 pre and post checkpoint inhibitor treatment indicates that archival specimens harvested after checkpoint therapy are applicable to screening potential candidates for MAGE therapies.

There has been a controversy about the predictive value of tissue-TMB-H for immune checkpoint inhibitors (ICIs) with limited data regarding blood-TMB (bTMB) in GI tumors. We aim to evaluate the predictive value of bTMB compared with MSI-H in GI tumors. Patients with unresectable/metastatic GI cancer, harboring either MSS with bTMB-H (≥10 mut/Mb) or dMMR/MSI-H who received ICI were included. We compared ICIs' efficacy between MSS-bTMB-H (N=45) versus MSI-H (N=50) in GI tumors. Ninety-five patients were identified with the majority having colorectal (49.5%) or esophagogastric (34.7%) cancers. MSS-bTMB-H group had more esophagogastric cancer and later-line ICI recipients, with no significant differences in other known prognostic variables. At a median follow-up of 9.4 months, MSI-H group showed superior ORR (58.0% vs. 26.7%), DCR (84.0% vs. 42.2%), DoR (not-reached vs. 7.6 mo), PFS (22.5 vs. 3.8 mo), and OS (Not-reached vs. 10.1 mo) compared with MSS-bTMB-H. Multivariable analysis showed that MSI-H was an independent favorable factor over MSS-bTMB-H for PFS (HR=0.31, CI 0.15-0.63, P =0.001) and OS (HR=0.33, CI 0.14-0.80, P =0.014). MSI-H group showed favorable outcomes compared with MSS-bTMB-16+ (ORR: 58.0% vs. 26.9%; DCR: 84.0% vs. 42.3%; PFS:22.5 vs. 4.0 mo) and MSS-bTMB-20+ (ORR: 58.0% vs. 31.6%; DCR: 84.0% vs. 42.1%; PFS:22.5 vs. 3.2 mo). There was no difference between MSS-bTMB10-15 compared with MSS-bTMB-16+ in ORR, DCR, and PFS, or between MSS-bTMB10-19 compared with MSS-bTMB20+. Regardless of bTMB cutoff at 10, 16, or 20, bTMB-H did not appear to be a predictive biomarker in MSS GI tumors in this retrospective analysis.