Prognostic Markers for Refined Stratification of IMDC Intermediate-Risk Metastatic Clear Cell Renal Cell Carcinoma Treated with First-Line Tyrosine Kinase Inhibitor Therapy

Selection of M7G-related lncRNAs in kidney renal clear cell carcinoma and their putative diagnostic and prognostic role

BACKGROUND

Kidney renal clear cell carcinoma (KIRC) is a common malignant tumor of the urinary system. This study aims to develop new biomarkers for KIRC and explore the impact of biomarkers on the immunotherapeutic efficacy for KIRC, providing a theoretical basis for the treatment of KIRC patients.

METHODS

Transcriptome data for KIRC was obtained from the The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. Weighted gene co-expression network analysis identified KIRC-related modules of long noncoding RNAs (lncRNAs). Intersection analysis was performed differentially expressed lncRNAs between KIRC and normal control samples, and lncRNAs associated with N(7)-methylguanosine (m7G), resulting in differentially expressed m7G-associated lncRNAs in KIRC patients (DE-m7G-lncRNAs). Machine Learning was employed to select biomarkers for KIRC. The prognostic value of biomarkers and clinical features was evaluated using Kaplan-Meier (K-M) survival analysis, univariate and multivariate Cox regression analysis. A nomogram was constructed based on biomarkers and clinical features, and its efficacy was evaluated using calibration curves and decision curves. Functional enrichment analysis was performed to investigate the functional enrichment of biomarkers. Correlation analysis was conducted to explore the relationship between biomarkers and immune cell infiltration levels and common immune checkpoint in KIRC samples.

RESULTS

By intersecting 575 KIRC-related module lncRNAs, 1773 differentially expressed lncRNAs, and 62 m7G-related lncRNAs, we identified 42 DE-m7G-lncRNAs. Using XGBoost and Boruta algorithms, 8 biomarkers for KIRC were selected. Kaplan-Meier survival analysis showed significant survival differences in KIRC patients with high and low expression of the PTCSC3 and RP11-321G12.1. Univariate and multivariate Cox regression analyses showed that AP000696.2, PTCSC3 and clinical characteristics were independent prognostic factors for patients with KIRC. A nomogram based on these prognostic factors accurately predicted the prognosis of KIRC patients. The biomarkers showed associations with clinical features of KIRC patients, mainly localized in the cytoplasm and related to cytokine-mediated immune response. Furthermore, immune feature analysis demonstrated a significant decrease in immune cell infiltration levels in KIRC samples compared to normal samples, with a negative correlation observed between the biomarkers and most differentially infiltrating immune cells and common immune checkpoints.

CONCLUSION

In summary, this study discovered eight prognostic biomarkers associated with KIRC patients. These biomarkers showed significant correlations with clinical features, immune cell infiltration, and immune checkpoint expression in KIRC patients, laying a theoretical foundation for the diagnosis and treatment of KIRC.

Comprehensive Systematic Review of Biomarkers in Metastatic Renal Cell Carcinoma: Predictors, Prognostics, and Therapeutic Monitoring

BACKGROUND

Challenges remain in determining the most effective treatment strategies and identifying patients who would benefit from adjuvant or neoadjuvant therapy in renal cell carcinoma. The objective of this review is to provide a comprehensive overview of biomarkers in metastatic renal cell carcinoma (mRCC) and their utility in prediction of treatment response, prognosis, and therapeutic monitoring in patients receiving systemic therapy for metastatic disease.

METHODS

A systematic literature search was conducted using the PubMed database for relevant studies published between January 2017 and December 2022. The search focused on biomarkers associated with mRCC and their relationship to immune checkpoint inhibitors, targeted therapy, and VEGF inhibitors in the adjuvant, neoadjuvant, and metastatic settings.

RESULTS

The review identified various biomarkers with predictive, prognostic, and therapeutic monitoring potential in mRCC. The review also discussed the challenges associated with anti-angiogenic and immune-checkpoint monotherapy trials and highlighted the need for personalized therapy based on molecular signatures.

CONCLUSION

This comprehensive review provides valuable insights into the landscape of biomarkers in mRCC and their potential applications in prediction of treatment response, prognosis, and therapeutic monitoring. The findings underscore the importance of incorporating biomarker assessment into clinical practice to guide treatment decisions and improve patient outcomes in mRCC.

RCC Real-World Data: Prognostic Factors and Risk Stratification in the Immunotherapy Era

Immunotherapy has transformed the landscape of treatment in metastatic renal cell carcinoma (mRCC) in the last decade. Currently, prognostic risk stratification is based on the model developed in the era of vascular endothelial growth factor receptor inhibitors (VEGFRi) by Heng in 2009. Our study aims to find the most relevant risk criteria for mRCC patients treated with checkpoint inhibitors (CPI). In a retrospective cohort study, laboratory, pathology, demographic, and clinical data were retrieved from electronic medical records of consecutive mRCC patients treated with CPI in a tertiary center between 2015 and 2020. An unbiased multivariate analysis was performed to define predictive variables with a bootstrap validation step. We analyzed data on 127 patients with a median follow-up of 60 months. The median overall survival (OS) since the diagnosis of metastatic disease was 57 months. The response rate for CPI was 39%. Five risk factors were correlated with worse OS: intact primary kidney tumor (HR 2.33, p = 0.012), liver metastasis (HR 3.33, p = 0.001), Collapse

Key Words

• checkpoint inhibitors
• renal cell carcinoma
• risk prognostication

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Affiliation(s)

Shira Sagie Institute of Oncology, Sheba Medical Center, Ramat Gan 52621, Israel; (S.S.); (M.S.); (M.L.); (H.G.S.); (R.B.); (R.P.) Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel The Sheba Talpiot Medical Leadership Program, Sheba Medical Center, Ramat Gan 52621, Israel
Michal Sarfaty Institute of Oncology, Sheba Medical Center, Ramat Gan 52621, Israel; (S.S.); (M.S.); (M.L.); (H.G.S.); (R.B.); (R.P.) Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
Meital Levartovsky Institute of Oncology, Sheba Medical Center, Ramat Gan 52621, Israel; (S.S.); (M.S.); (M.L.); (H.G.S.); (R.B.); (R.P.) Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
Hadas Gantz Sorotsky Institute of Oncology, Sheba Medical Center, Ramat Gan 52621, Israel; (S.S.); (M.S.); (M.L.); (H.G.S.); (R.B.); (R.P.) Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
Raanan Berger Institute of Oncology, Sheba Medical Center, Ramat Gan 52621, Israel; (S.S.); (M.S.); (M.L.); (H.G.S.); (R.B.); (R.P.) Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
Ruth Percik Institute of Oncology, Sheba Medical Center, Ramat Gan 52621, Israel; (S.S.); (M.S.); (M.L.); (H.G.S.); (R.B.); (R.P.) Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Ramat Gan 52621, Israel
Moran Gadot Institute of Oncology, Sheba Medical Center, Ramat Gan 52621, Israel; (S.S.); (M.S.); (M.L.); (H.G.S.); (R.B.); (R.P.) Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel

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Identification and Verification of m7G Modification Patterns and Characterization of Tumor Microenvironment Infiltration via Multi-Omics Analysis in Clear Cell Renal Cell Carcinoma

The epigenetic modification of tumorigenesis and progression in neoplasm has been demonstrated in recent studies. Nevertheless, the underlying association of N7-methylguanosine (m⁷G) regulation with molecular heterogeneity and tumor microenvironment (TME) in clear cell renal cell carcinoma (ccRCC) remains unknown. We explored the expression profiles and genetic variation features of m⁷G regulators and identified their correlations with patient outcomes in pan-cancer. Three distinct m⁷G modification patterns, including MGCS1, MGCS2, and MGCS3, were further determined and systematically characterized via multi-omics data in ccRCC. Compared with the other two subtypes, patients in MGCS3 exhibited a lower clinical stage/grade and better prognosis. MGCS1 showed the lowest enrichment of metabolic activities. MGCS2 was characterized by the suppression of immunity. We then established and validated a scoring tool named m7Sig, which could predict the prognosis of ccRCC patients. This study revealed that m⁷G modification played a vital role in the formation of the tumor microenvironment in ccRCC. Evaluating the m⁷G modification landscape helps us to raise awareness and strengthen the understanding of ccRCC’s characterization and, furthermore, to guide future clinical decision making.

Compassionate Use Program of Ipilimumab and Nivolumab in Intermediate or Poor Risk Metastatic Renal Cell Carcinoma: A Large Multicenter Italian Study

This is a retrospective analysis on the safety and activity of compassionate Ipilimumab and Nivolumab (IPI-NIVO) administered to patients with metastatic Renal Cell Carcinoma (mRCC) with intermediate or poor International Metastatic RCC Database Consortium (IMDC) score as a first-line regimen. IPI was infused at 1 mg/kg in combination with Nivolumab 3 mg/kg every three weeks for four doses, followed by maintenance Nivolumab (240 or 480 mg flat dose every two or four weeks, respectively) until disease progression or unacceptable toxicity. A total of 324 patients started IPI-NIVO at 86 Italian centers. Median age was 62 years, 68.2% IMDC intermediate risk. Primary tumor had been removed in 65.1% of patients. Two hundred and twenty patients (67.9%) completed the four IPI-NIVO doses. Investigator-assessed overall response rate was 37.6% (2.8% complete). Twelve-month survival rate was 66.8%, median progression-free survival was 8.3 months. Grade 3 or 4 treatment-related adverse events occurred in 67 patients (26.9%). IMDC intermediate risk, nephrectomy, BMI ≥ 25 kg/m2, and steroid use for toxicities correlated with improved survival, while age < 70 years did not. IPI-NIVO combination is a feasible and effective regimen for the first-line treatment of intermediate-poor IMDC risk mRCC patients in routine clinical practice.

Predictive Impact of Early Changes in Serum C-Reactive Protein Levels in Nivolumab Plus Ipilimumab Therapy for Metastatic Renal Cell Carcinoma

BACKGROUND

Serum C-reactive protein (CRP) is reportedly associated with metastatic renal cell carcinoma (mRCC) activity. However, in the era of immune checkpoint inhibitors, the predictive value of CRP is unclear. In this study, we investigated the predictive impact of pretreatment CRP levels and early changes in CRP levels for the treatment of mRCC with nivolumab plus ipilimumab (NIVO-IPI) therapy.

METHODS

Forty-eight patients with mRCC treated with NIVO-IPI as a first-line therapy were retrospectively analyzed. First, patients were divided into 2 groups: initial CRP ≥ 1.0 mg/dL and < 1.0 mg/dL. Progression-free survival (PFS) was compared between the 2 groups. Second, based on the CRP change within the first 3 months of NIVO-IPI, patients were placed in the normal group (CRP remains < 1.0 mg/dL), normalized group (CRP decreased < 1.0 mg/dL), and non-normalized group (CRP remained or increased to ≥ 1.0 mg/dL). The predictive association between CRP change and PFS was evaluated.

RESULTS

PFS was significantly lower in the high initial CRP group (n = 24, 50%) compared to the normal CRP group (n = 24, 50%) (median: 4.3 vs. 28.1 months, P = .03). As for the early CRP change, the normal (2.7 vs. 28.1, P = .0002) and normalized (2.7 vs. 11.0, P = .0094) groups showed significantly higher PFS, compared to the non-normalized group. Meanwhile, there was no significant difference between normal, and normalized groups (P = .51). The objective response rate was higher in the normal (57.1% vs. 18.7%, P = .015) and normalized (81.8 vs. 18.7%, P = .0008) groups, compared to the non-normalized group. Multivariate Cox regression analysis showed that normal [Hazard ratio (HR) = 0.15, 95% Confidence interval (CI) = 0.02-0.70, P = .026] and normalized (HR 0.21, 95% CI = 0.05-0.73, P = .015) CRP showed significant association with PFS.

CONCLUSION

In the NIVO-IPI therapy for mRCC, early changes in CRP could predict PFS. This data may be useful for the early detection of ineffective NIVO-IPI therapy and conversion to subsequent therapies.

Impact of Serum γ-Glutamyltransferase on Overall Survival in Patients with Metastatic Renal Cell Carcinoma in the Era of Targeted Therapy

BACKGROUND

γ-Glutamyltransferase (GGT) is a marker of oxidative stress. Elevated serum GGT is linked to poor survival in various malignancies; however, there are no data on metastatic renal cell carcinoma (mRCC). Additionally, GGT expression in cancer tissues remains largely unknown.

OBJECTIVE

The present study was designed to determine the prognostic role of serum GGT in patients with mRCC and the association between systemic and local GGT levels.

PATIENTS AND METHODS

Pretherapeutic serum GGT and other clinicopathological parameters were retrospectively compared with overall survival (OS) in 146 consecutive patients with mRCC receiving tyrosine kinase inhibitor therapy. GGT expression was analyzed in 65 resected specimens using immunohistochemistry.

RESULTS

A total of 82 patients (56%) died during the follow-up period (median 34.9 months). Median OS was 16.0 months and 36.8 months in patients with elevated GGT levels and without elevated GGT, respectively (P < 0.001). On multivariable analysis, elevated serum GGT was an independent adverse prognostic factor (hazard ratio [HR] 4.04, P < 0.001), together with high neutrophils (HR 2.06, P = 0.041), low albumin (HR 2.00, P = 0.006), high lactate dehydrogenase (HR 2.68, P < 0.001), and high De Ritis ratio (HR 1.97, P = 0.004). Preoperative serum GGT levels were 29, 48, and 109 U/l in patients whose renal cancer cells showed negative to weak, moderate, and strong GGT expression, respectively (P = 0.004).

CONCLUSIONS

Elevated serum GGT was an unfavorable prognostic factor in mRCC, and overexpression of GGT in renal cancer cells might be responsible for elevation of serum GGT.

Preoperative Elevation of C-Reactive Protein Is a Predictor for Adverse Oncologic Survival Outcomes for Renal Cell Carcinoma: Analysis from the International Marker Consortium Renal Cancer (INMARC)

BACKGROUND

We sought to analyze the usefulness of pretreatment C-reactive protein (CRP) as a predictor of survival and oncological outcomes in patients with renal cell carcinoma (RCC).

METHODS

Retrospective international analysis of patients with RCC with pretreatment CRP values from 2006 to 2017. A CRP of more than >5 mg/L was deemed elevated. The cohort was subdivided into 2 groups for analysis (normal CRP ≤5 mg/L; elevated CRP >5). Primary outcome was overall survival (OS) and secondary outcome was recurrence-free survival (RFS). Kaplan-Meier analyses (KMA) and multivariable analyses (MVA) were used to delineate survival outcomes and their predictors.

RESULTS

We analyzed 2445 patients (1641 male/804 female; normal CRP 1056/elevated CRP 1389; mean follow-up 36 months). Patients with elevated CRP had a higher incidence of hypertension (P = .001), higher body mass index (P < .001), and larger tumor size (6.0 cm vs 3.9 cm; P < .001). MVA for RFS demonstrated elevated CRP (hazard ratio [HR], 1.85; P = .005), tumor size (HR, 1.1; P < .001), and high tumor grade (HR, 3.1; P < .001) to be independent risk factors. For normal vs elevated CRP, KMA for RFS of stages 1-4 RCC revealed a 5-year RFS of 93% vs 88% (P = .001), 95% vs 83% (P = .163), 84% vs 62% (P = .001), and 58% vs 60% (P = .513), respectively. KMA MA KMA for OS of stages 1-4 RCC revealed a 5-year OS of 98% vs 81% (P = .001), 94% vs 80% (P = .103), 94% vs 65% (P = .001), and 99% vs 38% (P < .001), respectively.

CONCLUSIONS

Pretreatment CRP was an independent predictor of RFS and OS in an international multicenter cohort of patients with RCC.

Prognostic value of pretreatment neutrophil-to-lymphocyte ratio in renal cell carcinoma: a systematic review and meta-analysis

Background

Numerous studies show that the pretreatment neutrophil-to-lymphocyte ratio (NLR) is associated with the prognosis of patients with RCC. However, their findings are inconsistent, urging us to explore the prognostic value of NLR in RCC patients.

Methods

This study was pre-registered in PROSPERO (CRD42020167131). Two reviewers independently performed a systematical search of PubMed, Web of Science, EMBASE, and Cochrane Library databases for prospective or retrospective cohort studies investigating the prognostic value of pretreatment NLR. Hazard ratios with 95% confidence intervals for overall survival (OS), disease-free survival (DFS), progression-free survival (PFS), cancer-specific survival (CSS), and other useful clinicopathological features were extracted and analyzed with fixed or random-effect models by using Review Manager 5.3 and Stata 12.0 software. Heterogeneity was estimated on the basis of Cochran’s Q test and I² value. Sensitivity analyses and subgroup analyses were also performed to explore the potential sources of heterogeneity. Publication bias was assessed with funnel plots and precisely assessed by Egger’s tests. The quality of the evidence was evaluated in accordance with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE).

Results

Overall, 6461 RCC patients from 24 retrospective studies and 1 prospective study were included. In overall population, elevated pretreatment NLR was associated with poorer OS (pooled HR = 1.90, 95% CI = 1.56–2.30, p < 0.001; I² = 87%), DFS/PFS (pooled HR = 2.09, 95% CI: 1.49–2.94, p < 0.001; I² = 99%), and CSS (pooled HR = 2.31, 95% CI: 1.61–3.33, p < 0.001; I² = 14%). Furthermore, this negative association was further confirmed in patients with nonmetastatic and metastatic RCC patients, respectively. We also investigated the predictive role of NLR in metastatic RCC patients treated with immune checkpoint inhibitors (ICIs). The results indicated that the level of NLR was significantly associated with OS (pooled HR = 3.92, 95% CI: 2.00–7.69, p < 0.001; I² = 0%) and PFS (pooled HR = 2.20, 95% CI: 95% CI: 1.61–3.01, p < 0.001; I² = 20%).

Conclusions

This study demonstrated that elevated pretreatment NLR was significantly associated with poor prognosis of RCC patients. NLR could be helpful as a potential prognostic biomarker to guide clinical decision-making and select individualized treatment strategies for RCC patients.

Oncological outcomes of a multicenter cohort treated with axitinib for metastatic renal cell carcinoma

The present study aimed to evaluate the efficacy of the real-world use of axitinib and to develop a prognostic model for stratifying patients who could derive long-term benefit from axitinib. This was a retrospective, descriptive study evaluating the efficacy of axitinib in patients with metastatic renal cell carcinoma that had been treated with 1 or 2 systemic antiangiogenic therapy regimens at 1 of 36 hospitals belonging to the Japan Urologic Oncology Group between January 2012 and February 2019. The primary outcome was overall survival (OS). Using a split-sample method, candidate variables that exhibited significant relationships with OS were chosen to create a model. The new model was validated using the rest of the cohort. In total, 485 patients were enrolled. The median OS was 34 months in the entire study population, whereas it was not reached, 27 months, and 14 months in the favorable, intermediate, and poor risk groups, respectively, according to the new risk classification model. The following 4 variables were included in the final risk model: the disease stage at diagnosis, number of metastatic sites at the start of axitinib therapy, serum albumin level, and neutrophil : lymphocyte ratio. The adjusted area under the curve values of the new model at 12, 36, and 60 months were 0.77, 0.82, and 0.82, respectively. The efficacy of axitinib in routine practice is comparable or even superior to that reported previously. The patients in the new model's favorable risk group might derive a long-term survival benefit from axitinib treatment.

Golgi Alpha-Mannosidase II as a Novel Biomarker Predicts Prognosis in Clear Cell Renal Cell Carcinoma

OBJECTIVE

Golgi alpha-mannosidase II (GM II) is one of the crucial enzymes in the process of N-glycan processing. The aim of our study was to examine the clinical significance of GM II in patients with clear cell renal cell carcinoma (ccRCC).

METHODS

Quantitative reverse transcription polymerase chain reaction analysis and immunohistochemical staining were used to analyze GM II expression in patients with ccRCC. The clinical data of 62 patients with ccRCC were collected to analyze the clinical significance of GM II. The clinical significance among GM II expression, clinicopathological staging, and histological grade of ccRCC was explored. Survival analyses were performed to identify the relevance between the expression of GM II and the overall survival of patients with ccRCC. A uni-/multivariate Cox regression model was used to detect risk factors affecting the prognosis of patients with ccRCC. Subsequently, the proliferation and migration of ccRCC cells were detected after transfecting with GM II-short hairpin RNA (shRNA).

RESULTS

The results of these comparisons suggested that GM II expression of ccRCC tissues was dramatically higher than that of para-carcinoma tissues (p < 0.05). GM II expression in the high-differentiation group was lower than that in the median- and low-differentiation groups (p < 0.05). GM II expression in stage I and II tissues was lower than that in stage III and IV tissues (p < 0.05). The expression levels of GM II in the group without lymph node metastasis were lower than those in the group with lymph node metastasis (p < 0.05). Survival analysis indicated that patients with ccRCC with high GM II expression generally had decreased overall survival. Uni-/multivariate Cox model analyses further suggested an association between GM II expression and prognosis of patients with breast cancer. High GM II expression is a potential and independent prognostic biomarker in ccRCC. The inhibition of GM II by transfecting with GM II-shRNA could reduce the proliferation and migration of ccRCC.

CONCLUSION

GM II expression in human ccRCC tissues was upregulated compared with that found in normal human renal tissue, and GM II may promote the progression and migration of ccRCC. Furthermore, the GM II gene may be used as a promising tumor marker for the diagnosis and prognosis of ccRCC.

Insights into the success and failure of systemic therapy for hepatocellular carcinoma

Systemic treatment for hepatocellular carcinoma (HCC) has been boosted by the incorporation of new agents after many negative phase III trials in the decade since the approval of sorafenib. Sorafenib introduced the concept that targeting specific hallmarks of hepatocarcinogenesis could modify the dismal prognosis of this disease, with the drug remaining a cornerstone in the upfront therapy for advanced HCC. The design of clinical trials in this malignancy is complicated by important obstacles related to patient selection, prognostic assessment and the need for endpoints that correlate with improvement in survival outcomes. In addition, the currently used criteria to determine treatment response or progression might prevent physicians from making appropriate clinical judgements and interpreting evidence arising from trials. In this Review, we discuss the advances in systemic therapy for HCC and critically review trial designs in HCC. Although novel therapies, such as new targeted agents and immunotherapies, are being rapidly incorporated, it is paramount to design future clinical trials based on the lessons learned from past failures and successes.

Circular RNAs in drug resistant tumors

Chemotherapy is an effective method to treat patients with advanced malignant tumors. However, tumor cells can develop resistance to multiple drugs during the therapy process, leading to treatment failure. Circular RNAs (circRNAs) are a new class of regulatory RNAs that can regulate endogenous gene expression. Previous studies revealed the diagnostic and prognostic value of circRNAs in malignant cancer and other diseases, but few reports have examined their association with clinical drug resistance. In this review, we summarize the up-to-date information regarding the role of circRNAs in the resistance of tumors to chemotherapy and discuss specific regulatory mechanisms. This analysis is expected to provide direction for the prevention and management of drug resistance in tumors.