Immunotherapy: A new standard in the treatment of metastatic clear cell renal cell carcinoma

Does the Timing of Cytoreductive Nephrectomy Impact Outcomes? Analysis of REMARCC Registry Data for Patients Receiving Tyrosine Kinase Inhibitor Versus Immune Checkpoint Inhibitor Therapy

Background and objective

The role of cytoreductive nephrectomy (CN) in the treatment of metastatic renal cell carcinoma (mRCC) has been called into question on the basis of clinical trial data from the tyrosine kinase inhibitor (TKI) era. Comparative analyses of CN for patients treated with immuno-oncology (IO) versus TKI agents are sparse. Our objective was to compare CN timing and outcomes among patients who received TKI versus IO therapy.

Methods

This was a multicenter retrospective analysis of patients who underwent CN using data from the REMARCC (Registry of Metastatic RCC) database. The cohort was divided into TKI versus IO first-line therapy groups. The primary outcome was all-cause mortality (ACM). Secondary outcomes included cancer-specific mortality (CSM). Multivariable analysis was used to identify factors predictive for ACM and CSM. The Kaplan-Meier method was used to analyze 5-yr overall survival (OS) and cancer-specific survival (CSS) with stratification by primary systemic therapy and timing in relation to CN.

Key findings and limitations

We analyzed data for 189 patients (148 TKI + CN, 41 IO +CN; median follow-up 23.2 mo). Multivariable analysis revealed that a greater number of metastases (hazard ratio [HR] 1.06; p = 0.015), greater primary tumor size (HR 1.10; p = 0.043), TKI receipt (HR 2.36; p = 0.015), and initiation of systemic therapy after CN (HR 1.49; p = 0.039) were associated with worse ACM. A greater number of metastases at diagnosis (HR 1.07; p = 0.011), greater primary tumor size (HR 1.12; p = 0.018), TKI receipt (HR 5.43; p = 0.004), and initiation of systemic therapy after CN (HR 2.04; p < 0.001) were associated with worse CSM. Kaplan-Meier analyses revealed greater 5-yr rates for OS (51% vs 27%; p < 0.001) and CSS (83% vs 30%; p < 0.001) for IO +CN versus TKI + CN. This difference persisted in a subgroup analysis for patients with intermediate or poor risk, with 5-yr OS rates of 50% for IO + CN versus 30% for TKI + CN (p < 0.001). A subanalysis stratified by CN timing revealed better 5-yr rates for OS (50% vs 30%; p = 0.042) and CSS (90% vs 30%, p = 0.019) for delayed CN after IO therapy, but not after TKI therapy.

Conclusions and clinical implications

For patients who underwent CN, systemic therapy before CN was associated with better outcomes. In addition, IO therapy was associated with better survival outcomes in comparison to TKI therapy. Our findings question the applicability of clinical trial data from the TKI era to CN in the IO era for mRCC.

Patient summary

For patients with metastatic kidney cancer treated with surgery, better survival outcomes were observed for those who also received immunotherapy in comparison to therapy targeting specific proteins in the body (tyrosine kinase inhibitors, TKIs). Immunotherapy or TKI treatment resulted in better outcomes if it was received before rather than after surgery.

A Systematic Review of Treatment-Related Adverse Events for Combination Therapy of Multiple Tyrosine Kinase Inhibitor and Immune Checkpoint Inhibitor

BACKGROUND

Combination therapy with multiple tyrosine kinase inhibitors (multi-TKIs) and immune checkpoint inhibitors (ICIs) has been increasingly tested in clinical studies. This study aimed to investigate the effect of the addition of ICI to multi-TKIs on the profile of treatment-related adverse events.

METHODS

An electronic database search was performed using PubMed and Web of Science to identify published clinical studies on multi-TKI monotherapy and multi-TKI plus ICI combination therapy from July 20, 2005 to July 1, 2023. The incidence rate of common adverse events caused by multi-TKI monotherapy and multi-TKI plus ICI combination therapy was obtained and compared from the viewpoints of (1) relative risk for the combination therapy vs sunitinib, (2) adverse event incidence rate by clinical trial, and (3) pooled incidence rate. The quality of the evidence was assessed with the Cochrane risk of bias tool. Meta-analysis used random effects models.

RESULTS

This systematic review identified 83 clinical studies involving 7951 patients. The combination therapy of multi-TKI and ICI was associated with an increased risk of diarrhea (relative risk [RR]: 1.24, 95% confidence interval [CI]: 1.15-1.33, P < .001), hypothyroidism (RR: 1.44, 95% CI: 1.11-1.87, P = .0064) and rash (RR: 1.71, 95% CI: 1.18-2.47, P = .0045) compared with multi-TKI monotherapy. The addition of ICI was suggested to decrease the risk of adverse events related to performance status.

CONCLUSION

Our study identified an increased risk of treatment-related adverse events associated with multi-TKI plus ICI combination therapy. This would help optimize the management of toxicities caused by multi-TKI plus ICI combination therapy.

Mathematical and Machine Learning Models of Renal Cell Carcinoma: A Review

This review explores the multifaceted landscape of renal cell carcinoma (RCC) by delving into both mechanistic and machine learning models. While machine learning models leverage patients' gene expression and clinical data through a variety of techniques to predict patients' outcomes, mechanistic models focus on investigating cells' and molecules' interactions within RCC tumors. These interactions are notably centered around immune cells, cytokines, tumor cells, and the development of lung metastases. The insights gained from both machine learning and mechanistic models encompass critical aspects such as signature gene identification, sensitive interactions in the tumors' microenvironments, metastasis development in other organs, and the assessment of survival probabilities. By reviewing the models of RCC, this study aims to shed light on opportunities for the integration of machine learning and mechanistic modeling approaches for treatment optimization and the identification of specific targets, all of which are essential for enhancing patient outcomes.

Radiomics and Ki-67 index predict survival in clear cell renal cell carcinoma

OBJECTIVE

To develop and validate predictive models based on Ki-67 index, radiomics, and Ki-67 index combined with radiomics for survival analysis of patients with clear cell renal cell carcinoma.

METHODS

This study enrolled 148 patients who were pathologically diagnosed as ccRCC between March 2010 and December 2018 at our institute. All tissue sections were collected and immunohistochemical staining was performed to calculate Ki-67 index. All patients were randomly divided into the training and validation sets in a 7:3 ratio. Regions of interests (ROIs) were segmented manually. Radiomics features were selected from ROIs in unenhanced, corticomedullary, and nephrographic phases. Multivariate Cox models based on the Ki-67 index and radiomics and univariate Cox models based on the Ki-67 index or radiomics alone were built; the predictive power was evaluated by the concordance (C)-index, integrated area under the curve, and integrated Brier Score.

RESULTS

Five features were selected to establish the prediction models of radiomics and combined model. The C-indexes of Ki-67 index model, radiomics model, and combined model were 0.741, 0.718, and 0.782 for disease-free survival (DFS); 0.941, 0.866, and 0.963 for overall survival, respectively. The predictive power of combined model was the best in both training and validation sets.

CONCLUSION

The survival prediction performance of combined model was better than Ki-67 model or radiomics model. The combined model is a promising tool for predicting the prognosis of patients with ccRCC in the future.

ADVANCES IN KNOWLEDGE

Both Ki-67 and radiomics have showed giant potential in prognosis prediction. There are few studies to investigate the predictive ability of Ki-67 combined with radiomics. This study intended to build a combined model and provide a reliable prognosis for ccRCC in clinical practice.

Comparative efficacy and safety of PD-1/PD-L1 inhibitors in triple negative breast cancer: a systematic review and network meta-analysis of randomized controlled trials

BACKGROUND

Triple-Negative Breast Cancer (TNBC) is a lethal subtype of breast cancer with limited treatment options. The purpose of this Network Meta-Analysis (NMA) is to compare the efficacy and safety of inhibitors of programmed cell death 1 (PD-1) and programmed cell death ligand 1 (PD-L1) in treating TNBC.

METHODS

Our search strategy was used in six databases: PubMed, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature database, Embase, Scopus, and Web of Science up to November 2nd, 2022, as well as a thorough search in the most used trial registries. We included phase II and III randomized controlled trials that looked at the efficacy of PD-1/PD-L1 inhibitors in the treatment of TNBC and reported either Overall Survival (OS), Progression-Free Survival (PFS), or pathological Complete Response (pCR). The risk of bias was assessed utilizing Cochrane's risk of bias 2 tool, and the statistical analysis was performed using a frequentist contrast-based method for NMA by employing standard pairwise meta-analysis applying random effects model.

RESULTS

12 trials (5324 patients) were included in our NMA including seven phase III trials. Pembrolizumab in a neoadjuvant setting achieved a pooled OS of 0.82 (95% Confidence Interval (CI) 0.65 to 1.03), a PFS of 0.82 (95% CI 0.71 to 0.94) and a pCR 2.79 (95% CI 1.07 to 7.24) compared to Atezolizumab's OS of 0.92 (95% CI 0.74 to 1.15), PFS of 0.82 (95% CI 0.69 to 0.97), and pCR of 1.94 (95% CI 0.86 to 4.37). Atezolizumab had less grade ≥ 3 adverse events (OR 1.48, 95% CI 0.90 to 2.42) than Pembrolizumab (OR 1.90, 95% CI 1.08 to 3.33) in the neoadjuvant setting.

CONCLUSIONS

PD-1/PD-L1 inhibitors exhibited varying efficacy in terms of OS, PFS, and pCR. They were associated with an increase in immune-related adverse effects. When used early in the course of TNBC, PD-1/PD-L1 inhibitors exert their maximum benefit. Durvalumab as a maintenance treatment instead of chemotherapy has shown promising outcomes. Future studies should focus on PD-L1 expression status and TNBC subtypes, since these factors may contribute to the design of individualized TNBC therapy regimens. Systematic review registration PROSPERO Identifier: CRD42022380712.

RBM4 inhibits the growth of clear cell renal cell carcinoma by enhancing the stability of p53 mRNA

RBM4 has been reported as a tumor suppressor gene in cancers, including lung cancer, colon cancer and gastric cancer. However, the role of RBM4 in clear cell renal cell carcinoma (ccRCC) remains unclear. Therefore, the present study investigated the expression and biological function of RBM4 in ccRCC. Analysis of the differential expression of RBM4 and its relationship with clinicopathological features using ccRCC samples data from TCGA database deminstrated that RBM4 expression in tumor samples of ccRCC was lower than that in normal samples, and RBM4 expression was closely related to the survival time of patients. RBM4 overexpression (RBM4-oe) cell lines were constructed to investigate the effect of RBM4 on biological function using CCK-8, EdU, flow cytometry and wound-healing assays. In addition, the regulatory effect of RBM4 on signaling pathways was investigated by GSEA and WB assays. RBM4-oe significantly reduced the proliferation of ccRCC cells by controlling the p53 signaling pathway, inhibited cell cycle progression and promoted apoptosis. In addition, RBM4-oe suppressed the migration and invasion of cells by EMT. Mechanistically, RBM4-oe facilitated the activity of the p53 signaling pathway by enhancing the stability of p53 mRNA. Finally, RBM4-oe markedly inhibited the growth of tumors formed with 786-O cells in vivo. In summary, there findings suggeated that RBM4 inhibits the progression of ccRCC by promoting p53 signaling pathway activity by enhancing the stability of p53 mRNA, suggesting that RBM4 may be a potential target for the treatment of patients.

Mechanisms of Prostate Cancer Cells Survival and Their Therapeutic Targeting

Prostate cancer (PCa) is today the second most common cancer in the world, with almost 400,000 deaths annually. Multiple factors are involved in the etiology of PCa, such as older age, genetic mutations, ethnicity, diet, or inflammation. Modern treatment of PCa involves radical surgical treatment or radiation therapy in the stages when the tumor is limited to the prostate. When metastases develop, the standard procedure is androgen deprivation therapy, which aims to reduce the level of circulating testosterone, which is achieved by surgical or medical castration. However, when the level of testosterone decreases to the castration level, the tumor cells adapt to the new conditions through different mechanisms, which enable their unhindered growth and survival, despite the therapy. New knowledge about the biology of the so-called of castration-resistant PCa and the way it adapts to therapy will enable the development of new drugs, whose goal is to prolong the survival of patients with this stage of the disease, which will be discussed in this review.

Efficacy and safety of Nivolumab in patients with advanced esophageal, gastroesophageal, and gastric cancers: a meta-analysis of randomized controlled trials

BACKGROUND

Immune checkpoint inhibitors (ICI) have revolutionized care in oncology with improved overall survival in several cancer populations. Nivolumab has recently been approved for use in patients with upper gastrointestinal cancers. We quantitatively summarized the efficacy and safety of Nivolumab use in patients with advanced esophageal, gastroesophageal, and gastric carcinoma compared to standard chemotherapy.

METHODS

Systemic search of electronic databases was performed to analyze phase III randomized controlled trials (RCTs) comparing Nivolumab versus standard chemotherapy in patients with advanced upper gastrointestinal cancers. Primary endpoints were overall survival (OS) and progression-free survival (PFS). Data were pooled using random effects model via RevMan 5.4 software.

RESULTS

Four RCTs with a total of 3369 patients and a median follow-up of 13 months were included. The patients' mean age was 61 ± 20 years, 74.6% were males, and 26% had ≥1% PD-L1 expression. Compared to the chemotherapy group, Nivolumab group had a significantly favorable OS and PFS [HR 0.81;95% CI (0.74, 0.89), p < .001], [HR 0.82;95% CI (0.69, 0.98), p = .03], respectively. Nivolumab significant effect was only in patients with ≥1% PD L1 expression [HR 0.72; 95% CI (0.58, 0.89), p < .001]. No statistical difference was detected between groups regarding serious adverse effects (AE) [OR 1.47; 95%CI (0.94,2.31), p = 0.09].

CONCLUSIONS

Compared to standard chemotherapy, the use of Nivolumab in patients with advanced esophageal, gastroesophageal, and gastric cancers is associated with improved overall and progression-free survival, with similar rates of AE and AE leading to death. The improvement in survival was significant in patients with ≥1% PD L1 expression.

Combination of sunitinib and 177Lu-labeled antibody cG250 targeted radioimmunotherapy: A promising new therapeutic strategy for patients with advanced renal cell cancer

Sunitinib is an effective treatment for patients with metastatic Renal Cell Carcinoma (mRCC) but ultimately resistance occurs. The aim of this study was to investigate sunitinib resistance in RCCs and to develop therapeutic combination strategies with targeted radioimmunotherapy (RIT).

We studied two RCC models, analyzed Vascular endothelial growth factor (VEGF) and its receptor (VEGFR) and AXL/MET expression and performed therapy studies in Balb/c^nu/nu mice combining sunitinib and [¹⁷⁷Lu]Lu-cG250 RIT (6.5 MBq/10 μg), specifically targeting RCC cells.

pAXL and pMET were expressed in sunitinib-resistant SK-RC-52 and absent in sunitinib-sensitive NU12. NGS evaluation showed that expression of VEGFA, VEGFB, VEGFD, PGF and VEGFR1,2,3 was higher and expression of VEGFC and PDGFA was lower in NU12 than in SK-RC-52.

Therapy studies combining sunitinib with [¹⁷⁷Lu]Lu-cG250 RIT showed that the best response in mice with “resistant” SK-RC-52 tumors was observed with two cycles of Sunitinib and ^[177Lu]Lu-cG250 RIT, probably due to increased vascular permeability by sunitinib treatment. In the “sensitive” NU12 model, two cycles of [¹⁷⁷Lu]Lu-cG250 RIT and two cycles of combination treatment were equally effective.

Enhanced therapeutic efficacy was achieved when two agents ([¹⁷⁷Lu]Lu-cG250 RIT and sunitinib) that on their own did not induce satisfactory response levels, are combined. Our findings provide a promising new therapeutic strategy for patients with advanced RCC.