Constructing and validating a risk model based on neutrophil-related genes for evaluating prognosis and guiding immunotherapy in colon cancer.

BACKGROUND: Colon cancer is one of the most common digestive tract malignancies. Although immunotherapy has brought new hope to colon cancer patients, there is still a large proportion of patients who do not benefit from immunotherapy. Studies have shown that neutrophils can interact with immune cells and immune factors to affect the prognosis of patients. METHODS: We first determined the infiltration level of neutrophils in tumors using the CIBERSORT algorithm and identified key genes in the final risk model by Spearman correlation analysis and subsequent Cox analysis. The risk score of each patient was obtained by multiplying the Cox regression coefficient and the gene expression level, and patients were divided into two groups based on the median of risk score. Differences in overall survival (OS) and progression-free survival (PFS) were assessed by Kaplan-Meier survival analysis, and model accuracy was validated in independent dataset. Differences in immune infiltration and immunotherapy were evaluated by immunoassay. Finally, immunohistochemistry and western blotting were performed to verify the expression of the three genes in the colon normal and tumor tissues. RESULTS: We established and validated a risk scoring model based on neutrophil-related genes in two independent datasets, The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, with SLC11A1 and SLC2A3 as risk factors and MMP3 as a protective factor. A new nomogram was constructed and validated by combining clinical characteristics and the risk score model to better predict patients OS and PFS. Immune analysis showed that patients in the high-risk group had immune cell infiltration level, immune checkpoint level and tumor mutational burden, and were more likely to benefit from immunotherapy. CONCLUSIONS: The low-risk group showed better OS and PFS than the high-risk group in the neutrophil-related gene-based risk model. Patients in the high-risk group presented higher immune infiltration levels and tumor mutational burden and thus may be more responsive to immunotherapy.

Spouses of patients treated for colon cancer: identification of key caregiver skills using the Delphi method.

PURPOSE: Spouses are often the front-line caregivers for colon cancer patients. Providing this support requires a particular set of coping skills. Our objective was to identify key skills that healthcare and medico-social sector professionals could assess in routine practice that would allow them to propose appropriate support to spouses who are accompanying colon cancer patients in their care pathway. METHODS: An online two-round Delphi study was conducted among French colon cancer patients, spouses and professionals. The content of the Delphi study was developed from a previously published qualitative study. RESULTS: In the first round of the study, 63% of the participants were professionals (n = 40), 19% spouses (n = 12) and 17% patients (n = 11). In the second round, they were respectively 55% (n = 22), 22% (n = 9) and 22% (n = 9). Twenty-seven of the 75 proposed skills were consensually identified as key skills. Nine were related to emotional and psychological well-being, six to social relations, four to organisation, five to health and three to domestic domains. The three most consensual skills (≥ 90% agreement) for spouses were (1) helping the tired patient in everyday life, (2) stimulating the patient to prevent him/her from giving up and (3) limiting one's amount of personal time to care for the patient. CONCLUSION: The study identified the key skills needed by spouses of patients being treated for colon cancer. Better awareness of these skills among professionals would enable them to offer tailored support to help patients and spouses maintain their physical and emotional well-being.

Anti-OX40 Antibody Combined with HBc VLPs Delays Tumor Growth in a Mouse Colon Cancer Model.

Objective: Combination immunotherapy strategies targeting OX40, a co-stimulatory molecule that can enhance antitumor immunity by modulating the proliferation, differentiation, and effector function of tumor-infiltrating T cells, have attracted much attention for their excellent therapeutic effects. In this study, we aimed to evaluate the antitumor efficacy of combined anti-OX40 and hepatitis B core virus-like particles (HBc VLPs) therapy using a mouse colon cancer model. Methods: Humanized B-hOX40 mice were injected subcutaneously with MC38 colon tumor cells and treated with HBc VLPs+anti-hOX40 antibody. Tumor growth was monitored. Flow cytometric analysis was performed to evaluate the populations of T cell subsets in the tumors. Results: The combination of anti-OX40 with HBc VLPs resulted in a significant delay in tumor growth, suggesting that a potent antitumor immunity was induced by the combination therapy. Further studies revealed that HBc VLPs+anti-OX40 treatment induced a significant increase in effector T cells (Teffs) and a significant decrease in regulatory T cells (Tregs) in the tumor microenvironment (TME), which accounted for the synergistic antitumor effect of anti-OX40 in combination with HBc VLPs. Conclusion: Combination therapy of anti-hOX40 and HBc VLPs provides synergistic antitumor activity in colon cancer-bearing mice, which may represent a potential design strategy for cancer immunotherapy.

Molecular engineering of a spheroid-penetrating phage nanovector for photodynamic treatment of colon cancer cells.

Photodynamic therapy (PDT) represents an emerging strategy to treat various malignancies, including colorectal cancer (CC), the third most common cancer type. This work presents an engineered M13 phage retargeted towards CC cells through pentavalent display of a disulfide-constrained peptide nonamer. The M13CC nanovector was conjugated with the photosensitizer Rose Bengal (RB), and the photodynamic anticancer effects of the resulting M13CC-RB bioconjugate were investigated on CC cells. We show that upon irradiation M13CC-RB is able to impair CC cell viability, and that this effect depends on i) photosensitizer concentration and ii) targeting efficiency towards CC cell lines, proving the specificity of the vector compared to unmodified M13 phage. We also demonstrate that M13CC-RB enhances generation and intracellular accumulation of reactive oxygen species (ROS) triggering CC cell death. To further investigate the anticancer potential of M13CC-RB, we performed PDT experiments on 3D CC spheroids, proving, for the first time, the ability of engineered M13 phage conjugates to deeply penetrate multicellular spheroids. Moreover, significant photodynamic effects, including spheroid disruption and cytotoxicity, were readily triggered at picomolar concentrations of the phage vector. Taken together, our results promote engineered M13 phages as promising nanovector platform for targeted photosensitization, paving the way to novel adjuvant approaches to fight CC malignancies.

Development of fatty acid metabolism score based on gene signature for predicting prognosis and immunotherapy response in colon cancer

Purpose Metabolic reprogramming is a novel hallmark and therapeutic target of cancer. Our study aimed to establish fatty acid metabolism-associated scores based on gene signature and investigated its effects on immunotherapy in colon cancer. Methods Gene expression and clinical information were collected from Gene Expression Omnibus (GEO) database to identify a gene signature by non-negative matrix factorization (NMF) clustering and Cox regression analysis. Subsequently, we constructed the fatty acid metabolism score (FA-score) model by principal component analysis (PCA) and explored its relativity of prognosis and the response to immunotherapy in colon cancer. Finally, the Cancer Genome Atlas (TCGA) database was introduced and in vitro study was performed for verification. Results The FA-score-high group had a higher level of fatty acid metabolism and was associated with worse patient overall survival. Significantly, FA-score correlated closely with the biomarkers of immunotherapy, and the FA-score-high group had a poorer therapeutic efficacy of immune checkpoint blockade. In vitro experiments demonstrated that ACSL5 may be a critical metabolic regulatory target. Conclusions Our study provided a comprehensive analysis of the heterogeneity of fatty acid metabolism in colon cancer. We highlighted the potential clinical utility of fatty acid metabolism-related genes to be biomarkers of colon cancer prognosis and targets to improve the effect of immunotherapy (AU)

Improved survival of patients receiving immunotherapy and chemotherapy following curative-intent resection of colorectal liver metastases.

BACKGROUND: Despite significant advancements in the treatment of patients with colorectal liver metastases (CRLMs), only a minority will experience long-term survival. This study aimed to determine the effect of chemotherapy (CT) and immunotherapy (IT) compared with that of CT alone on patient survival after surgical resection. METHODS: Patients undergoing curative-intent liver resection followed by adjuvant systemic therapy for stage IV colon cancer were identified using the National Cancer Database. Patients were stratified into type of therapy (CT alone vs CT + IT) and microsatellite status. Propensity score-weighted analysis was performed through 1:1 matching based on the nearest neighbor method. RESULTS: Of 9943 patients who underwent resection of CRLMs, 7971 (80%) received systemic adjuvant therapy. Of 7971 patients, 1432 (18%) received a combination of CT and IT. Microsatellite status was not associated with overall survival (OS). Adjuvant CT + IT was associated with increased 3-year OS compared with that of CT alone in both the unmatched cohort (55% vs 48%, respectively; P < .001) and matched cohort (52% vs 48%, respectively; P = .050). On multivariate analysis, older age, positive resection margins, and KRAS mutation were independent predictors of poor survival, whereas the administration of adjuvant CT + IT was an independent predictor of improved survival. CONCLUSION: IT combined with CT was associated with improved survival compared with that of CT alone after curative-intent resection of CRLMs, regardless of microsatellite instability status. Clinical trials to determine optimal patient selection, IT regimen, and long-term efficacy to improve outcomes of patients with CRLMs are warranted.

Identification and validation of an immunotherapeutic signature for colon cancer based on the regulatory patterns of ferroptosis and their association with the tumor microenvironment.

The integrated landscape of ferroptosis regulatory patterns and their association with colon microenvironment have been demonstrated in recent studies. However, the ferroptosis-related immunotherapeutic signature for colon cancer (CC) remains unclear. We comprehensively evaluated 1623 CC samples, identified patterns of ferroptosis modification based on ferroptosis-associated genes, and systematically correlated these patterns with tumor microenvironment (TME) cell infiltration characteristics. In addition, the ferroptosis-regulated gene score (FRG-score) was constructed to quantify the pattern of ferroptosis alterations in individual tumors. Three distinct patterns of ferroptosis modification were identified, including antioxidant defense, iron toxicity, and lipid peroxidation. The characteristics of TME cell infiltration under these three patterns were highly consistent with the three immune phenotypes of tumors, including immune-inflamed, immune-excluded and immune-desert phenotypes. We also demonstrated that evaluation of ferroptosis regulatory patterns within individual tumors can predict tumor inflammatory status, tumor subtype, TME stromal activity, genetic variation, and clinical outcome. Immunotherapy cohorts confirmed that patients with low FRG-scores showed remarkable therapeutic and clinical benefits. Furthermore, the hub gene apolipoprotein L6 (APOL6), a drug-sensitive target associated with cancer cell ferroptosis, was identified through our proposed novel key gene screening process and validated in CC cell lines and scRNA-seq.

Pre and Post-high-intensity Interval Training Delays Colon Tumor Onset in a Syngeneic Mouse Model.

BACKGROUND/AIM: High-intensity interval training (HIIT) can trigger transient anti-tumor cytotoxicity through the mobilization of natural killer cells (NK cells) and myokines. Yet, the effects of HIIT on tumor development and microenvironment are unclear. MATERIALS AND METHODS: Male C57/BL6 mice were administered either MC38 of syngeneic colon cancer cells or vehicle in a single subcutaneous injection. Before injection, the training group completed four weeks of the HIIT program (progressive swimming training, 3/week, 10-12 min, 4-6% of body weight for overload). Following injection, trained mice continued to exercise for two additional weeks. RESULTS: Pre and post-HIIT training was effective in preventing tumor onset (p=0.0065), maintaining body weight gain, and counteracting splenomegaly by 40% compared to the tumor group. However, HIIT had no impact on suppressing tumor growth, modifying final tumor volume, or significantly changing tumor proliferation (Ki-67), connective tissue content, or DNA double-strand damage detected by phospho-histone gamma-H2AX (γ-H2AX). CONCLUSION: Pre and post-HIIT program is feasible for mice carrying a subcutaneous syngeneic tumor and effective in delaying tumor burden; however, HIIT did not alter colon tumor endpoints.

Construction and validation of a colon cancer prognostic model based on tumor mutation burden-related genes.

Currently, immunotherapy has entered the clinical diagnosis and treatment guidelines for colon cancer, but existing immunotherapy markers cannot predict the effectiveness of immunotherapy well. This study utilized the TCGA-COAD queue to perform differential gene analysis on high and low-mutation burden samples, and screen differentially expressed genes (DEGs). To explore new molecular markers or predictive models of immunotherapy by using DEGs for NMF classification and prognostic model construction. Through systematic bioinformatics analysis, the TCGA-COAD cohort was successfully divided into high mutation burden subtypes and low mutation burden subtypes by NMF typing using DEGs. The proportion of MSI-H between high mutation burden subtypes was significantly higher than that of low mutation burden subtypes, but there was no significant difference in immunotherapy efficacy between the two subtypes. Drug sensitivity analysis showed significant differences in drug sensitivity between the two subtypes. Subsequently, we constructed a prognostic model using DEGs, which can effectively predict patient survival and immunotherapy outcomes. The prognosis and immunotherapy outcomes of the low-risk group were significantly better than those of the high-risk group. The external dataset validation of the constructed prognostic model using the GSE39582 dataset from the GEO database yielded consistent results. At the same time, we also analyzed the TMB and MSI situation between the high and low-risk groups, and the results showed that there was no significant difference in TMB between the high and low-risk groups, but the proportion of MSI-H in the high-risk group was significantly higher than that in the low-risk group. Finally, we conclude that TMB is not a suitable molecular marker for predicting the efficacy of immunotherapy in colon cancer. The newly constructed prognostic model can effectively differentiate the prognosis of colon cancer patients and predict their immunotherapy efficacy.

Preoperative Strategies for Locally Advanced Colon Cancer.

OPINION STATEMENT: Neoadjuvant chemotherapy is safe for patients with locally advanced colon cancer (LACC). The FOxTROT trial demonstrated a reduction in residual and recurrent cancer at 2 years with neoadjuvant chemotherapy for patients with cT3-4 LACC. Preoperative chemotherapy should be avoided, if possible, for patients with dMMR LACC, as over 50% of dMMR cancers have no pathologic response. Early universal testing of MMR status is critical to selecting the appropriate neoadjuvant therapy. Concerns about CT staging of LACC have limited uptake of neoadjuvant chemotherapy, as approximately 25% of patients with cT3-T4 cancer on CT have low-risk stage II disease. Development of CT criteria for malignant nodes should reduce the risk of over-staging. A multidisciplinary approach is needed to identify patients for neoadjuvant therapy. Neoadjuvant immunotherapy is safe and results in dramatic pathologic responses in patients with dMMR LACC. Longer follow-up is needed to determine if the exceptionally high pathologic response rates observed will translate into long-term remission. Remarkably, neoadjuvant immunotherapy has been found to cause major pathologic responses in a subset of patients with pMMR LACC, indicating the potential to cure more patients with this common cancer. Patients with cT4 LACC, whether stage II or III, have a substantial risk of recurrence despite adjuvant fluoropyrimidine plus oxaliplatin chemotherapy. We recommend neoadjuvant systemic therapy for all patients with cT4b LACC (dMMR and pMMR). Features of T4b disease are routinely reported by radiology. We use three cycles of FOLFOX chemotherapy for patients with cT4b pMMR LACC, due to the high rate of compliance and improvement in residual and recurrent disease. Patients with cT4b dMMR LACC should receive neoadjuvant immunotherapy, if there are no contraindications. Clinical trials of neoadjuvant therapy for LACC are of great interest and should provide training for radiologists to identify eligible patients. Results are anticipated from multiple ongoing trials of neoadjuvant chemotherapy, immunotherapy, and targeted therapy for pMMR LACC and immunotherapy for dMMR LACC.

Prognosis and immunotherapy response prediction based on M2 macrophage-related genes in colon cancer.

BACKGROUND: M2 macrophage were revealed to play a crucial role in immune evasion and immunotherapies. This study aims to explore the potential significance of M2 macrophage-related genes in colon adenocarcinoma (COAD) by analysizing the transcriptome data in a comprehensive way. METHODS: We collected RNA-sequencing (RNA-seq) data of COAD from The Cancer Genome Atlas (TCGA) and Gene Expression Ominibus (GEO) databases. We calculated the immune infiltration scores of every sample using CIBERSORT algorithm. Through weighted gene co-expression network analysis (WGCNA), we picked out M2 macrophage-related genes. With these genes we screened out prognosis related genes which were utilized to construct a signature to assess the prognosis of patients. To extend the potential application of the signature, we also calculated the correlations with immune infiltration. Finally, we applied techniques such as quantitative reverse transcription polymerase chain reaction (qRT-PCR) and immunoblotting (Western Blotting) to validate the RNF32 gene in cellular in vitro assays. RESULTS: Seven M2 macrophage-related genes signature was constructed, which was an excellent prognostic predictor in two independent groups. The high-risk group showed lower immune infiltration and poorer response to immunotherapies than those of the low-risk group. The cell vitro experiments showed that the expression level of RNF32 was upregulated in colon cancer cell lines compared with normal cell lines. Moreover, we found that RNF32 may promote the proliferation, migration and invasion of cancer cells in vitro by inhibiting apoptosis. CONCLUSION: A novel M2 macrophage-related gene signature affects the prognosis and immune characteristics of colon cancer.

Engineered Microbial Nanohybrids for Tumor-Mediated NIR II Photothermal Enhanced Ferroptosis/Cuproptosis and Immunotherapy.

The colon tumor microenvironment has a high concentration of H2 S and glutathione, which is highly immunosuppressive and adverse to multiple therapeutic methodologies such as ferroptosis. Here, an engineered microbial nanohybrid based on Escherichia coli (E. coli) and Cu2 O nanoparticles to specific colon tumor therapy and immunosuppression reversion is reported. The as-prepared E. coli@Cu2 O hybrid can accumulate in tumor sites upon intravenous injection, and Cu2 O nanoparticles convert to Cux S by consuming the endogenous H2 S, which exhibits strong photothermal conversion at near-infrared II (NIR II) biological window. Furthermore, E. coli@Cu2 O is able to induce cellular ferroptosis and cuproptosis through inactivation of glutathione peroxidase 4 and aggregation of dihydrolipoamide S-acetyltransferase, respectively. Photothermal-enhanced ferroptosis/cuproptosis achieved by E. coli@Cu2 O reverses the immunosuppression of colon tumors by triggering dendritic cell maturation (about 30%) and T cell activation (about 50% CD8+ T cells). Concerted with immune checkpoint blockade, the engineered microbial nanohybrid can inhibit the growth of abscopal tumors upon NIR illumination. Overall, the designed microbial nanohybrid can achieve tumor-specific photothermal-enhanced ferroptosis/cuproptosis and immunosuppression reversion, showing promise in precise tumor therapy in future clinical translation.

Association Between Racial and Socioeconomic Disparities and Hospital Performance in Treatment and Outcomes for Patients with Colon Cancer.

BACKGROUND: Disparities in colon cancer care and outcomes by race/ethnicity, socioeconomic status (SES), and insurance are well recognized; however, the extent to which inequalities are driven by patient factors versus variation in hospital performance remains unclear. We sought to compare disparities in care delivery and outcomes at low- and high-performing hospitals. METHODS: We identified patients with stage I-III colon adenocarcinoma from the 2012-2017 National Cancer Database. Adequate lymphadenectomy and timely adjuvant chemotherapy administration defined hospital performance. Multilevel regression models evaluated disparities by race/ethnicity, SES, and insurance at the lowest- and highest-performance quartile hospitals. RESULTS: Of 92,573 patients from 704 hospitals, 45,982 (49.7%) were treated at 404 low-performing hospitals and 46,591 (50.3%) were treated at 300 high-performing hospitals. Low-performing hospitals treated more non-Hispanic (NH) Black, Hispanic, low SES, and Medicaid patients (all p < 0.01). Among low-performing hospitals, patients with low versus high SES (odds ratio [OR] 0.87, 95% confidence interval [CI] 0.82-0.92), and Medicare (OR 0.90, 95% CI 0.85-0.96) and Medicaid (OR 0.88, 95% CI 0.80-0.96) versus private insurance, had decreased odds of receiving high-quality care. At high-performing hospitals, NH Black versus NH White patients (OR 0.83, 95% CI 0.72-0.95) had decreased odds of receiving high-quality care. Low SES, Medicare, Medicaid, and uninsured patients had worse overall survival at low- and high-performing hospitals (all p < 0.01). CONCLUSION: Disparities in receipt of high-quality colon cancer care occurred by SES and insurance at low-performing hospitals, and by race at high-performing hospitals. However, survival disparities by SES and insurance exist irrespective of hospital performance. Future steps include improving low-performing hospitals and identifying mechanisms affecting survival disparities.

Glucose metabolism-based signature predicts prognosis and immunotherapy strategies for colon adenocarcinoma.

BACKGROUND: The global prevalence and metastasis rates of colon adenocarcinoma (COAD) are high, and therapeutic success is limited. Although previous research has primarily explored changes in gene phenotypes, the incidence rate of COAD remains unchanged. Metabolic reprogramming is a crucial aspect of cancer research and therapy. The present study aims to develop cluster and polygenic risk prediction models for COAD based on glucose metabolism pathways to assess the survival status of patients and potentially identify novel immunotherapy strategies and related therapeutic targets. METHODS: COAD-specific data (including clinicopathological information and gene expression profiles) were sourced from The Cancer Genome Atlas (TCGA) and two Gene Expression Omnibus (GEO) datasets (GSE33113 and GSE39582). Gene sets related to glucose metabolism were obtained from the MSigDB database. The Gene Set Variation Analysis (GSVA) method was utilized to calculate pathway scores for glucose metabolism. The hclust function in R, part of the Pheatmap package, was used to establish a clustering system. The mutation characteristics of identified clusters were assessed via MOVICS software, and differentially expressed genes (DEGs) were filtered using limma software. Signature analysis was performed using the least absolute shrinkage and selection operator (LASSO) method. Survival curves, survival receiver operating characteristic (ROC) curves and multivariate Cox regression were analyzed to assess the efficacy and accuracy of the signature for prognostic prediction. The pRRophetic program was employed to predict drug sensitivity, with data sourced from the Genomics of Drug Sensitivity in Cancer (GDSC) database. RESULTS: Four COAD subgroups (i.e., C1, C2, C3 and C4) were identified based on glucose metabolism, with the C4 group having higher survival rates. These four clusters were bifurcated into a new Clust2 system (C1 + C2 + C3 and C4). In total, 2175 DEGs were obtained (C1 + C2 + C3 vs. C4), from which 139 prognosis-related genes were identified. ROC curves predicting 1-, 3- and 5-year survival based on a signature containing nine genes showed an area under the curve greater than 0.7. Meanwhile, the study also found this feature to be an important predictor of prognosis in COAD and accordingly assessed the risk score, with higher risk scores being associated with a worse prognosis. The high-risk and low-risk groups responded differently to immunotherapy and chemotherapeutic agents, and there were differences in functional enrichment pathways. CONCLUSIONS: This unique signature based on glucose metabolism may potentially provide a basis for predicting patient prognosis, biological characteristics and more effective immunotherapy strategies for COAD.

Development of fatty acid metabolism score based on gene signature for predicting prognosis and immunotherapy response in colon cancer.

PURPOSE: Metabolic reprogramming is a novel hallmark and therapeutic target of cancer. Our study aimed to establish fatty acid metabolism-associated scores based on gene signature and investigated its effects on immunotherapy in colon cancer. METHODS: Gene expression and clinical information were collected from Gene Expression Omnibus (GEO) database to identify a gene signature by non-negative matrix factorization (NMF) clustering and Cox regression analysis. Subsequently, we constructed the fatty acid metabolism score (FA-score) model by principal component analysis (PCA) and explored its relativity of prognosis and the response to immunotherapy in colon cancer. Finally, the Cancer Genome Atlas (TCGA) database was introduced and in vitro study was performed for verification. RESULTS: The FA-score-high group had a higher level of fatty acid metabolism and was associated with worse patient overall survival. Significantly, FA-score correlated closely with the biomarkers of immunotherapy, and the FA-score-high group had a poorer therapeutic efficacy of immune checkpoint blockade. In vitro experiments demonstrated that ACSL5 may be a critical metabolic regulatory target. CONCLUSIONS: Our study provided a comprehensive analysis of the heterogeneity of fatty acid metabolism in colon cancer. We highlighted the potential clinical utility of fatty acid metabolism-related genes to be biomarkers of colon cancer prognosis and targets to improve the effect of immunotherapy.

Enhanced antitumour response of gold nanostar-mediated photothermal therapy in combination with immunotherapy in a mouse model of colon carcinoma.

OBJECTIVES: This study investigated the potential of combining PTT with dendritic cell (DC)-based immunotherapy and anti-PD-L1 immune checkpoint blockade (ICB) therapy against colorectal cancer and elucidated the underlying mechanisms. METHODS: The CT26 tumour-bearing mice were divided into seven treatment groups: control, atezolizumab (A), dendritic cells (DC), pAuNSs-mediated PTT (PTT), PTT combined with atezolizumab (PTT + A), PTT combined with dendritic cells (PTT + DC), and PTT combined with dendritic cells and atezolizumab (PTT + DC + A). Therapeutic efficacy was monitored. RESULTS: PTT upregulated most immune cell membrane receptor genes, including PD-L1, and downregulated genes associated with antigen presentation and T cell activation. Although the PTT + A and PTT + DC treatments showed partial tumour growth retardation, the combination of PTT with DCs and atezolizumab (PTT + DC + A) exhibited the most significant antitumour effect, with a complete remission rate of 50% and prolonged survival. On day 14, tumour samples from non-responsive mice revealed insufficient recruitment of T cells as the reason for uncured tumours. Notably, mice cured with PTT + DC and PTT + DC + A treatments showed no detectable lung nodules. CONCLUSION: This study demonstrated that the combination of PTT with DC-based immunotherapy and atezolizumab effectively overcomes the non-sensitive nature of CT26 tumours. These findings highlight the potential of this combination approach for colorectal cancer treatment.

Reprogramming of human γδ T cells by expression of an anti-CD19 TCR fusion construct (εTRuC) to enhance tumor killing.

We have developed a new format of a chimeric antigen receptor for αß T cells, in which the single-chain variable fragment recognizing the tumor antigen is directly fused to the T cell receptor, called T cell receptor fusion construct (TRuC). Here, we express an anti-CD19 εTRuC in primary γδ T cells that were expanded using zoledronate (Zol) or concanavalin A. We show that the resulting εTRuC γδ T cells were reprogrammed to better recognize CD19-positive B cell tumors and-in case of the Zol-expanded cells-a CD19-expressing colon adenocarcinoma-derived cell line in vitro. This resulted in enhanced tumor killing, upregulation of the activation marker CD25, and secretion of cytokines. We found that the transduction efficiency of the concanavalin A-expanded cells was better than the one of the Zol-expanded ones. Our in vitro cytotoxicity data suggest that the Vδ2 T cells were better killers than the Vδ1 T cells. Finally, addition of vitamin C promoted the recovery of larger γδ T cell numbers after lentiviral transduction, as used for the expression of the εTRuC. In conclusion, the generation and use of γδ εTRuC T cells might be a new approach for cancer immunotherapy.

Hemorrhage-activated NRF2 in tumor-associated macrophages drives cancer growth, invasion, and immunotherapy resistance.

Microscopic hemorrhage is a common aspect of cancers, yet its potential role as an independent factor influencing both cancer progression and therapeutic response is largely ignored. Recognizing the essential function of macrophages in red blood cell disposal, we explored a pathway that connects intratumoral hemorrhage with the formation of cancer-promoting tumor-associated macrophages (TAMs). Using spatial transcriptomics, we found that NRF2-activated myeloid cells possessing characteristics of procancerous TAMs tend to cluster in perinecrotic hemorrhagic tumor regions. These cells resembled antiinflammatory erythrophagocytic macrophages. We identified heme, a red blood cell metabolite, as a pivotal microenvironmental factor steering macrophages toward protumorigenic activities. Single-cell RNA-Seq and functional assays of TAMs in 3D cell culture spheroids revealed how elevated intracellular heme signals via the transcription factor NRF2 to induce cancer-promoting TAMs. These TAMs stabilized epithelial-mesenchymal transition, enhancing cancer invasiveness and metastatic potential. Additionally, NRF2-activated macrophages exhibited resistance to reprogramming by IFN-γ and anti-CD40 antibodies, reducing their tumoricidal capacity. Furthermore, MC38 colon adenocarcinoma-bearing mice with NRF2 constitutively activated in leukocytes were resistant to anti-CD40 immunotherapy. Overall, our findings emphasize hemorrhage-activated NRF2 in TAMs as a driver of cancer progression, suggesting that targeting this pathway could offer new strategies to enhance cancer immunity and overcome therapy resistance.