Combinatorial biomarker for predicting outcomes to anti-PD-1 therapy in patients with metastatic clear cell renal cell carcinoma

High pathological tumor response associates with enhanced overall survival in HNSCC patients following neoadjuvant immunochemotherapy and surgery

OBJECTIVE

This study aimed to evaluate the impact of the postoperative pathological remission status on the prognosis of patients who underwent surgery after neoadjuvant immunochemotherapy in head and neck squamous cell carcinoma (HNSCC).

METHODS

This study retrospectively analyzed patients who participated in a clinical trial at our hospital. These patients received neoadjuvant pembrolizumab combined with platinum and taxane followed by surgery from March 1, 2021, to November 1, 2024. Clinical and pathological characteristics were collected. Cox regression analysis was used to analyze clinical and pathological characteristics by univariate and multivariate analysis, and Kaplan Meier (KM) survival curves were plotted to evaluate the associations of clinical and pathological characteristics with the progression free survival (PFS) and overall survival(OS). Propensity score matching (PSM) was used to level the baseline of clinical characteristics.

RESULTS

The study cohort consisted of a total of 62 patients. the PFS rate of the patients was 85.5%, and the OS rate was 87.1%. The follow-up period of the patients ranged from 4 to 41 months, with an mean follow-up time of 23.7 months. However, high pathological tumor response (PTR) was significantly associated with better OS (97.2% vs 70.8%) and was an independent prognostic factor ( hazard ratio 0.153; 95% Confidence interval 0.018 - 1.307, p = 0.046). Before and after PSM, patients with high PTR had a significantly longer OS than those without high PTR (p = 0.0258,0.0053).

CONCLUSION

Our study showed a strong OS improvement in patients who achieved high PTR after neoadjuvant immunochemotherapy.

Prognostic impact of extracellular volume fraction derived from equilibrium contrast-enhanced CT in HCC patients receiving immune checkpoint inhibitors

This study aimed to investigate whether extracellular volume (ECV) fraction derived from equilibration contrast-enhanced computed tomography (CECT) affects prognosis in HCC patients receiving ICIs. This retrospective study ultimately included 211 HCC patients undergoing ICIs, of whom 60 were included in an internal validation to assess the reproducibility of the results. Baseline unenhanced and equilibrated CECT were used to measure CT values of the tumor, liver and aorta, which were combined with hematocrit to calculate the ECV fraction. Correlation analysis was used to investigate the association between tumor ECV and liver ECV fractions. The effects of clinical variables and ECV fraction on progression-free survival (PFS) and overall survival (OS) were evaluated using Cox proportional hazards models and Kaplan-Meier curves. Of these 151 patients, tumor ECV fraction positively correlated with liver ECV fraction. In the Lower tumor ECV group, PFS (5.6 vs. 7.6 months) and OS (10.5 vs. 15.5 months) were notably shorter than in the Higher tumor ECV group, while no significant differences were found between the Higher and Lower liver ECV groups. Furthermore, the multivariable Cox regression model demonstrated that higher tumor ECV fraction level was an independent protective factor for PFS and OS (all P < 0.001). Internal validation cohort preliminary demonstrated reproducibility of results. The tumor ECV fraction is expected to become a routine indicator before ICIs therapy for HCC patients in contrast to liver ECV fraction, contributing to their subsequent management.

Society for Immunotherapy of Cancer (SITC) consensus statement on essential biomarkers for immunotherapy clinical protocols

Immunotherapy of cancer is now an essential pillar of treatment for patients with many individual tumor types. Novel immune targets and technical advances are driving a rapid exploration of new treatment strategies incorporating immune agents in cancer clinical practice. Immunotherapies perturb a complex system of interactions among genomically unstable tumor cells, diverse cells within the tumor microenvironment including the systemic adaptive and innate immune cells. The drive to develop increasingly effective immunotherapy regimens is tempered by the risk of immune-related adverse events. Evidence-based biomarkers that measure the potential for therapeutic response and/or toxicity are critical to guide optimal patient care and contextualize the results of immunotherapy clinical trials. Responding to the lack of guidance on biomarker testing in early-phase immunotherapy clinical trials, we propose a definition and listing of essential biomarkers recommended for inclusion in all such protocols. These recommendations are based on consensus provided by the Society for Immunotherapy of Cancer (SITC) Clinical Immuno-Oncology Network (SCION) faculty with input from the SITC Pathology and Biomarker Committees and the Journal for ImmunoTherapy of Cancer readership. A consensus-based selection of essential biomarkers was conducted using a Delphi survey of SCION faculty. Regular updates to these recommendations are planned. The inaugural list of essential biomarkers includes complete blood count with differential to generate a neutrophil-to-lymphocyte ratio or systemic immune-inflammation index, serum lactate dehydrogenase and albumin, programmed death-ligand 1 immunohistochemistry, microsatellite stability assessment, and tumor mutational burden. Inclusion of these biomarkers across early-phase immunotherapy clinical trials will capture variation among trials, provide deeper insight into the novel and established therapies, and support improved patient selection and stratification for later-phase clinical trials.

Dynamic Changes in Serum Immunoglobulin G Predict Clinical Response and Prognosis in Metastatic Clear-cell Renal Cell Carcinoma

Background and objective

Systemic treatments involving immunotherapy-tyrosine kinase inhibitor (IO-TKI) combinations and TKI monotherapy have significantly improved outcomes for patients with metastatic clear-cell renal cell carcinoma (mccRCC). However, there are no biomarkers for predicting the efficacy of these treatments. Our aim was to investigate the prognostic and therapeutic significance of serum immunoglobulin G (IgG) in patients with mccRCC patients receiving systemic therapy.

Methods

We included 318 patients with mccRCC who received TKI or IO-TKI therapy. Patients were classified into groups according to whether they had an increase or decrease in serum IgG after systemic treatment. The association between baseline serum IgG and the objective response rate (ORR) was compared between the groups using a t test. The association of the change in serum IgG with progression-free survival (PFS) and overall survival (OS) was evaluated via Cox proportional-hazards regression, and survival curves were generated using the Kaplan-Meier method.

Key findings and limitations

Baseline serum IgG was not significantly associated with ORR (p = 0.055). After 3-mo systemic therapy, 133 patients (42%) exhibited an increase in serum IgG. The group with an IgG increase had significantly poorer median PFS (5.6 vs 16.2 mo; hazard ratio [HR] 3.36, 95% confidence interval [CI] 2.58-4.36; p < 0.001) and OS (26.0 vs 52.2 mo; HR 2.26, 95% CI 1.66-3.08; p < 0.001) than the group with an IgG decrease. Multivariable analysis revealed that an increase in serum IgG after 3-mo systemic therapy was an independent risk factor for both PFS (HR 3.28, 95% CI 2.51-4.30; p < 0.001) and OS (HR 1.94, 95% CI 1.41-2.68; p < 0.001). An increase in serum IgG after 1-mo treatment (n = 160) was also significantly associated with poorer median PFS (7.9 vs 13.7 mo; HR 1.62, 95% CI 1.13-2.32; p = 0.008) and OS (32.6 vs 50.5 mo; HR 1.68, 95% CI 1.09-2.59; p = 0.017).

Conclusions and clinical implications

The change in serum IgG after 3-mo systemic therapy can predict the therapeutic effect and prognosis for patients with mccRCC. This predictive value was observed as early as 1 mo after treatment initiation. Our findings highlight the potential of serum IgG as a predictive biomarker in this setting. Further validation is required in large prospective studies.

Patient summary

We found that for patients with metastatic kidney cancer, changes in the level of an antibody called immunoglobulin G (IgG) in blood during systemic treatment can predict their overall response. Early measurement of IgG could help doctors in personalizing treatment plans and might possibly improve the effectiveness of treatment for these patients.

Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockade

Patients with metastatic triple-negative breast cancer (TNBC) show variable responses to PD-1 inhibition. Efficient patient selection by predictive biomarkers would be desirable but is hindered by the limited performance of existing biomarkers. Here, we leveraged in silico patient cohorts generated using a quantitative systems pharmacology model of metastatic TNBC, informed by transcriptomic and clinical data, to explore potential ways to improve patient selection. We evaluated and quantified the performance of 90 biomarker candidates, including various cellular and molecular species, at different cutoffs by a cutoff-based biomarker testing algorithm combined with machine learning-based feature selection. Combinations of pretreatment biomarkers improved the specificity compared to single biomarkers at the cost of reduced sensitivity. On the other hand, early on-treatment biomarkers, such as the relative change in tumor diameter from baseline measured at two weeks after treatment initiation, achieved remarkably higher sensitivity and specificity. Further, blood-based biomarkers had a comparable ability to tumor- or lymph node-based biomarkers in identifying a subset of responders, potentially suggesting a less invasive way for patient selection.

The incidence of immune-related adverse events (irAEs) and their association with clinical outcomes in advanced renal cell carcinoma and urothelial carcinoma patients treated with immune checkpoint inhibitors: A systematic review and meta-analysis

BACKGROUND

This study aimed to summarize the occurrence of immune-related adverse events (irAEs) and further evaluate their association with clinical outcomes in patients with advanced renal cell carcinoma (RCC) and urothelial carcinoma (UC) treated with immune checkpoint inhibitors (ICIs).

METHODS

A comprehensive search of PubMed, Embase, and the Cochrane Library up to December 2023 was conducted to identify eligible studies. The details of irAEs and data regarding their correlation with clinical outcomes were extracted. R software was used for meta-analysis.

RESULTS

A total of 27 studies involving 6148 patients with RCC or UC were included. The pooled overall incidence for any-grade and grade ≥ 3 irAEs was 44.2 % (95 % CI: 38.1 %-50.5 %) and 15.7 % (95 % CI: 11.4 %-21.1 %), respectively. Compared to those without any irAEs, patients with irAEs showed improved PFS (HR = 0.44, 95 % CI: 0.35-0.56, p < 0.01) and OS (HR = 0.47, 95 % CI: 0.42-0.51, p < 0.01), as well as higher ORR (OR = 3.59, 95 % CI: 3.01-4.29, p < 0.01) and DCR (OR = 4.23, 95 % CI: 3.06-5.84, p < 0.01). Subgroup analysis indicated that clinical outcome improvements were associated with the occurrence of irAEs, regardless of tumor type or ICI agent. Notably, patients with cutaneous irAEs, thyroid dysfunction, and grade ≤ 2 irAEs had a higher probability to achieve better survival benefits from ICI-based therapy, while pulmonary irAEs and grade ≥ 3 irAEs seemed to have a negative impact on OS. Additionally, systemic glucocorticoids administration did not affect survival outcomes.

CONCLUSION

Our findings suggest that the occurrence of irAEs could be considered as a potential prognostic factor for predicting the efficacy of ICIs in patients with advanced RCC and UC.

Mutational profile of primary clear cell renal cell carcinoma predicts recurrence and potential candidacy for adjuvant immune checkpoint inhibition

BACKGROUND

The risk of recurrence after nephrectomy for primary clear cell renal cell carcinoma (ccRCC) is estimated in daily practice solely based on clinical criteria. The aim of this study was to assess the prognostic relevance of common somatic mutations with respect to tumor aggressiveness and outcomes of ccRCC patients after definitive treatment.

METHODS

Primary tumors from 37 patients with ccRCC who underwent radical nephrectomy were analyzed for presence of somatic mutations using a 15-gene targeted next-generation sequencing (NGS) panel. Associations to histopathologic characteristics and outcomes were investigated in the study cohort (n=37) and validated in The Cancer Genome Atlas (TCGA) ccRCC cohort (n=451).

RESULTS

VHL was the most frequently mutated gene (51%), followed by PBRM1 (27%), BAP1 (13%), SETD2 (13%), KDM5C (5%), ATM (5%), MTOR (5%), and PTEN (3%). One-third of patients did not have any somatic mutations within the 15-gene panel. The vast majority of tumors harboring no mutations at all or VHL-only mutations (51%) were more frequently of smaller size (pT1-2) and earlier stage (I/II), whereas presence of any other gene mutations in various combinations with or without VHL was enriched in larger (pT3) and higher stage tumors (III) (p=0.02). No recurrences were noted in patients with unmutated tumors or VHL-only mutations as opposed to three relapses in patients with non- VHL somatic mutations (p=0.06). Presence of somatic mutations in PBRM1, BAP1, SETD2, KDM5C, ATM, MTOR, or PTEN genes in 451 TCGA ccRCC patients was associated with a significantly shorter disease-free survival (DFS) compared to those with unaltered tumors (q=0.01).

CONCLUSIONS

Preliminary findings from this ongoing study support the prognostic value of non- VHL mutations including PBRM1, BAP1, SETD2, KDM5C, ATM, MTOR, and PTEN in primary ccRCC tumors as surrogates of earlier recurrence and potential selection for adjuvant immune checkpoint inhibition.

Immunotherapy of Clear-Cell Renal-Cell Carcinoma

Clear-cell Renal-Cell Carcinoma (ccRCC) is the most common type of renal-cell carcinoma (RCC). In many cases, RCC patients manifest the first symptoms during the advanced stage of the disease. For this reason, immunotherapy appears to be one of the dominant treatments to achieve a resolution. In this review, we focus on the presentation of the main immune checkpoint proteins that act as negative regulators of immune responses, such as PD-1, CTLA-4, LAG-3, TIGIT, and TIM-3, and their respective inhibitors. Interleukin-2, another potential component of the treatment of ccRCC patients, has also been covered. The synergy between several immunotherapies is one of the main aspects that unites the conclusions of research in recent years. To date, the combination of several immunotherapies enhances the efficacy of a monotherapy, which often manifests important limitations. Immunotherapy aimed at restoring the anti-cancer immune response in ccRCC, involved in the recognition and elimination of cancer cells, may also be a valid solution for many other types of immunogenic tumors that are diagnosed in the final stages.

Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockade

Patients with metastatic triple-negative breast cancer (TNBC) show variable responses to PD-1 inhibition. Efficient patient selection by predictive biomarkers would be desirable, but is hindered by the limited performance of existing biomarkers. Here, we leveraged in-silico patient cohorts generated using a quantitative systems pharmacology model of metastatic TNBC, informed by transcriptomic and clinical data, to explore potential ways to improve patient selection. We tested 90 biomarker candidates, including various cellular and molecular species, by a cutoff-based biomarker testing algorithm combined with machine learning-based feature selection. Combinations of pre-treatment biomarkers improved the specificity compared to single biomarkers at the cost of reduced sensitivity. On the other hand, early on-treatment biomarkers, such as the relative change in tumor diameter from baseline measured at two weeks after treatment initiation, achieved remarkably higher sensitivity and specificity. Further, blood-based biomarkers had a comparable ability to tumor- or lymph node-based biomarkers in identifying a subset of responders, potentially suggesting a less invasive way for patient selection.

Established and emerging biomarkers of immunotherapy in renal cell carcinoma

Immunotherapies, such as immune checkpoint inhibitors, have heralded impressive progress for patient care in renal cell carcinoma (RCC). Despite this success, some patients' disease fails to respond, and other patients experience significant side effects. Thus, development of biomarkers is needed to ensure that patients can be selected to maximize benefit from immunotherapies. Improving clinicians' ability to predict which patients will respond to immunotherapy and which are most at risk of adverse events - namely through clinical biomarkers - is indispensable for patient safety and therapeutic efficacy. Accordingly, an evolving suite of therapeutic biomarkers continues to be investigated. This review discusses biomarkers for immunotherapy in RCC, highlighting current practices and emerging innovations, aiming to contribute to improved outcomes for patients with RCC.

Exploring histological predictive biomarkers for immune checkpoint inhibitor therapy response in non-small cell lung cancer

Treatment challenges persist in advanced lung cancer despite the development of therapies beyond the traditional platinum-based chemotherapy. The early 2000s marked a shift to tyrosine kinase inhibitors targeting epidermal growth factor receptor, ushering in personalized genetic-based treatment. A further significant advance was the development of immune checkpoint inhibitors (ICIs), especially for non-small cell lung cancer. These target programmed death-ligand 1 (PD-L1) and cytotoxic T lymphocyte antigen 4, which enhanced the immune response against tumor cells. However, not all patients respond, and immune-related toxicities arise. This review emphasizes identifying biomarkers for ICI response prediction. While PD-L1 is a widely used, validated biomarker, its predictive accuracy is imperfect. Investigating tumor-infiltrating lymphocytes, tertiary lymphoid structure, and emerging biomarkers such as high endothelial venule, Human leukocyte antigen class I, T-cell immunoreceptors with Ig and ITIM domains, and lymphocyte activation gene-3 counts is promising. Understanding and exploring additional predictive biomarkers for ICI response are crucial for enhancing patient stratification and overall care in lung cancer treatment.

Association between pathologic response and survival after neoadjuvant therapy in lung cancer

Neoadjuvant immunotherapy plus chemotherapy improves event-free survival (EFS) and pathologic complete response (0% residual viable tumor (RVT) in primary tumor (PT) and lymph nodes (LNs)), and is approved for treatment of resectable lung cancer. Pathologic response assessment after neoadjuvant therapy is the potential analog to radiographic response for advanced disease. However, %RVT thresholds beyond pathologic complete response and major pathologic response (≤10% RVT) have not been explored. Pathologic response was prospectively assessed in the randomized, phase 3 CheckMate 816 trial (NCT02998528), which evaluated neoadjuvant nivolumab (anti-programmed death protein 1) plus chemotherapy in patients with resectable lung cancer. RVT, regression and necrosis were quantified (0-100%) in PT and LNs using a pan-tumor scoring system and tested for association with EFS in a prespecified exploratory analysis. Regardless of LN involvement, EFS improved with 0% versus >0% RVT-PT (hazard ratio = 0.18). RVT-PT predicted EFS for nivolumab plus chemotherapy (area under the curve = 0.74); 2-year EFS rates were 90%, 60%, 57% and 39% for patients with 0-5%, >5-30%, >30-80% and >80% RVT, respectively. Each 1% RVT associated with a 0.017 hazard ratio increase for EFS. Combining pathologic response from PT and LNs helped differentiate outcomes. When compared with radiographic response and circulating tumor DNA clearance, %RVT best approximated EFS. These findings support pathologic response as an emerging survival surrogate. Further assessment of the full spectrum of %RVT in lung cancer and other tumor types is warranted. ClinicalTrials.gov registration: NCT02998528 .

CXCL14 as a potential marker for immunotherapy response prediction in renal cell carcinoma

Background

Epigenetic mechanisms play vital roles in the activation, differentiation, and effector function of immune cells. The breast and kidney-expressed chemokine (CXCL14) mainly contributes to the regulation of immune cells. However, its role in shaping the tumor immune microenvironment (TIME) is yet to be elucidated in renal cell carcinoma (RCC).

Objectives

This study aimed to elucidate the role of CXCL14 in predicting the efficacy of immunotherapy in patients with RCC.

Methods

CXCL14 expression and RNA-sequencing, single-cell RNA-sequencing (scRNA-seq), and survival datasets of RCC from public databases were analyzed, and survival was compared between different CXCL14 levels. The correlation between CXCL14 and immune infiltration and human leukocyte antigen (HLA) gene expression was analyzed with TIMER2.0 and gene expression profiling interactive analysis. Institutional scRNA-seq and immunohistochemical staining analyses were used to verify the relationship between CXCL14 expression level and the efficacy of immunotherapy.

Results

CXCL14 was expressed in fibroblast and malignant cells in RCC, and higher expression was associated with better survival. Enrichment analysis revealed that CXCL14 is involved in immune activation, primarily in antigen procession, antigen presentation, and major histocompatibility complex assemble. CXCL14 expression was positively correlated with T-cell infiltration as well as HLA-related gene expression. Among the RCC cohort receiving nivolumab in Checkmate 025, the patients with CXCL14 high expression had better overall survival than those with CXCL14 low expression after immunotherapy. scRNA-seq revealed a cluster of CXCL14+ fibroblast in immunotherapy responders. Immunohistochemistry analysis verified that the patients with high CXCL14 expression had an increased proportion of high CD8 expression simultaneously. The expression level of CXCL14 was associated with CXCR4 expression in RCC.

Conclusion

CXCL14 expression is associated with immunotherapy response in RCC. It is a promising biomarker for immunotherapy response prediction and may be an effective epigenetic modulator in combination with immunotherapy approaches.

Head-to-head comparisons of enhanced CT, 68Ga-PSMA-11 PET/CT and 18F-FDG PET/CT in identifying adverse pathology of clear-cell renal cell carcinoma: a prospective study

OBJECTIVES

Accurate preoperative prediction of adverse pathology is crucial for treatment planning of renal cell carcinoma (RCC). Previous studies have emphasized the potential of prostate-specific membrane antigen positron emission tomography / computed tomography (PSMA PET/CT) in differentiating between benign and malignant localized renal tumors. However, there is a scarcity of case reports elucidating the identification of aggressive pathological features using PET/CT. Our study was designed to prospectively compare the diagnostic value of enhanced CT, 68Ga-PSMA-11 and 18F-fluorodeoxyglucose (18F-FDG) PET/CT in clear-cell renal cell carcinoma (ccRCC) with necrosis or sarcomatoid or rhabdoid differentiation.

MATERIALS AND METHODS

A prospective case series of patients with a newly diagnosed renal mass who underwent enhanced CT, 68Ga-PSMA-11 and 18F-FDG PET/CT within 30 days prior to nephrectomy was included. Complete preoperative and postoperative clinicopathological data were recorded. Patients who received neoadjuvant targeted therapy, declined enhanced CT or PET/CT scanning, refused surgical treatment or had non-ccRCC pathological indications were excluded. Radiological parameters were compared within subgroups of pathological characteristics. Bonferroni corrections were used to adjust for multiple testing and statistical significance was set at a p-value less than 0.017.

RESULTS

Seventy-two patients were available for the final analysis. Enhanced CT demonstrated poor performance in identifying necrosis, sarcomatoid or rhabdoid differentiation and adverse pathology (all P > 0.05). The maximum standardized uptake value (SUVmax) of 68Ga-PSMA-11 PET/CT was more effective than 18F-FDG PET/CT in identifying tumor necrosis and adverse pathology, with an area under the curve (AUC) of 0.85 (cutoff value=25.26, p<0.001; Delong test z=2.709, p=0.007) for tumor necrosis and AUC of 0.90 (cutoff value=25.26, p<0.001; Delong test z=3.433, p<0.001) for adverse pathology. However, no significant statistical difference was found between 68Ga-PSMA-11 and 18F-FDG PET/CT in predicting sarcomatoid or rhabdoid feature (AUC of 0.91 vs.0.75, Delong test z=1.998, p=0.046). Subgroup analyses based on age, sex, tumor location, maximal diameter, stage and WHO/ISUP grade demonstrated that 68Ga-PSMA-11 PET/CT SUVmax had a significant predictive value for adverse pathology. Enhanced CT value and SUVmax demonstrated strong reliability [intraclass correlation coefficient (ICC) > 0.80], indicating a robust correlation.

CONCLUSIONS

68Ga-PSMA-11 PET/CT demonstrates distinct advantages in identifying aggressive pathological features of primary ccRCC when compared to enhanced CT and 18F-FDG PET/CT. Further research and assessment are warranted to fully establish the clinical utility of 68Ga-PSMA-11 PET/CT in ccRCC.

Genomic Profiling and Molecular Characterization of Clear Cell Renal Cell Carcinoma

Clear cell renal cell carcinoma (ccRCC) treatment has undergone three major paradigm shifts in recent years, first with the introduction of molecular targeted therapies, then with immune checkpoint inhibitors, and, more recently, with immune-based combinations. However, to date, molecular predictors of response to targeted agents have not been identified for ccRCC. The WHO 2022 classification of renal neoplasms introduced the molecularly defined RCC class, which is a first step in the direction of a better molecular profiling of RCC. We reviewed the literature data on known genomic alterations of clinical interest in ccRCC, discussing their prognostic and predictive role. In particular, we explored the role of VHL, mTOR, chromatin modulators, DNA repair genes, cyclin-dependent kinases, and tumor mutation burden. RCC is a tumor whose pivotal genomic alterations have pleiotropic effects, and the interplay of these effects determines the tumor phenotype and its clinical behavior. Therefore, it is difficult to find a single genomic predictive factor, but it is more likely to identify a signature of gene alterations that could impact prognosis and response to specific treatment. To accomplish this task, the interpolation of large amounts of clinical and genomic data is needed. Nevertheless, genomic profiling has the potential to change real-world clinical practice settings.

Single-Cell RNA-Seq Analysis Reveals Ferroptosis in the Tumor Microenvironment of Clear Cell Renal Cell Carcinoma

In this study, we investigated the role of ferroptosis in the tumor microenvironment (TME) of clear cell renal cell carcinoma (ccRCC), the leading cause of renal cancer-related death. We analyzed single-cell data from seven ccRCC cases to determine cell types most correlated with ferroptosis and performed pseudotime analysis on three myeloid subtypes. We identified 16 immune-related ferroptosis genes (IRFGs) by analyzing differentially expressed genes between cell subgroups and between high and low immune infiltration groups in the TCGA-KIRC dataset and the FerrDb V2 database. Using univariate and multivariate Cox regression, we identified two independent prognostic genes, AMN and PDK4, and constructed an IRFG score model immune-related ferroptosis genes risk score (IRFGRs) to evaluate its prognostic value in ccRCC. The IRFGRs demonstrated excellent and stable performance for predicting ccRCC patient survival in both the TCGA training set and the ArrayExpress validation set, with an AUC range of 0.690-0.754, outperforming other commonly used clinicopathological indicators. Our findings enhance the understanding of TME infiltration with ferroptosis and identify immune-mediated ferroptosis genes associated with prognosis in ccRCC.