Articles

Kosuke Takemura ^a,b, Satoru Yonekura ^c, Laura E. Downey ^a, Dimitris Evangelopoulos ^a, Daniel Y.C. Heng ^b

^a School of Public Health, Imperial College London, London, UK; ^b Tom Baker Cancer Centre, University of Calgary, Calgary, AB, Canada; ^c Gustave Roussy Cancer Campus, Villejuif, France

Abstract

Context

Body mass index (BMI) is a useful tool for measuring body composition. It is unclear whether high BMI is a favourable indicator in patients with metastatic renal cell carcinoma (mRCC) treated with immune checkpoint inhibitors (ICIs).

Objective

To investigate the prognostic significance of BMI in patients with mRCC treated with ICIs in a systematic review and meta-analysis.

Evidence acquisition

Ovid MEDLINE, Embase, and Web of Science were systematically searched in July 2021, and meta-analysis was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement.

Evidence synthesis

A total of 517 nonduplicate citations were screened by title and abstract, followed by full-text screening of 57 candidate articles to determine whether each study met the eligibility criteria. Overall, a total of 2281 patients from eight studies were included in the systematic review and meta-analysis. BMI levels were compared with overall survival (OS) and progression-free survival (PFS) in seven and three studies, respectively. Overweight/obese BMI was significantly associated with better OS compared to normal BMI (adjusted hazard ratio [aHR] 0.77, 95% confidence intervals [CI] 0.65–0.91; p = 0.002). A similar trend was observed for PFS (aHR 0.66, 95% CI 0.44–1.00; p = 0.050). There was no statistical heterogeneity or obvious publication bias among these studies.

Conclusions

This is the first systematic review and meta-analysis to evaluate the impact of BMI on survival outcomes of patients with mRCC treated with ICIs. To confirm the existence of the obesity paradox for patients with mRCC in the immuno-oncology era, high-quality clinical trials and basic research are warranted.

Patient summary

We reviewed published data on survival outcomes of 2281 patients with metastatic kidney cancer treated with immunotherapy drugs in relation to their body mass index (BMI). We found that higher BMI was associated with better survival when compared to normal BMI for this disease setting and treatment strategy.

Bi K, Xiao He M, Bakouny Z, et al.

Cancer Cell. 2021 May 10;39(5):649-661.e5.
DOI: 10.1016/j.ccell.2021.02.015.

Abstract

Immune checkpoint blockade (ICB) results in durable disease control in a subset of patients with advanced renal cell carcinoma (RCC), but mechanisms driving resistance are poorly understood. We characterize the single-cell transcriptomes of cancer and immune cells from metastatic RCC patients before or after ICB exposure. In responders, subsets of cytotoxic T cells express higher levels of co-inhibitory receptors and effector molecules. Macrophages from treated biopsies shift toward pro-inflammatory states in response to an interferon-rich microenvironment but also upregulate immunosuppressive markers. In cancer cells, we identify bifurcation into two subpopulations differing in angiogenic signaling and upregulation of immunosuppressive programs after ICB. Expression signatures for cancer cell subpopulations and immune evasion are associated with PBRM1 mutation and survival in primary and ICB-treated advanced RCC. Our findings demonstrate that ICB remodels the RCC microenvironment and modifies the interplay between cancer and immune cell populations critical for understanding response and resistance to ICB.

Araujo DV, Wells JC, Hansen AR, et al.

J Geriatr Oncol.2021 Mar 2;S1879-4068(21)00046-1.
DOI: 10.1016/j.jgo.2021.02.022.

Abstract

Objective

Older adults with metastatic renal cell carcinoma(mRCC) are underrepresented in immune-checkpoint inhibitor(ICI) registration trials. Here we compare the efficacy of ICI treatments in older vs. younger adults with mRCC.

Methods

Using the International mRCC Database Consortium(IMDC), patients treated with a PD(L)-1 based ICI were identified. Older adult was defined as ≥70-years at the time of treatment. Descriptive statistics were summarized in means, medians, and proportions. Effectiveness endpoints included overall survival (OS), time-to-treatment failure(TTF), time-to-next treatment(TNT), and overall response rate(ORR). Hazards ratios were adjusted(aHR) for IMDC risk factors, histology, line of treatment and older age.

Results

Of 1427 included patients, 397(28%) were older adults. ICI was used as 1st line(1 L) in 40%, 2nd line(2 L) in 49% and 3rd line(3 L) in 11% of patients. In univariable analysis, older adults had inferior OS compared to younger adults(25.1 m vs. 30.8 m, p < 0.01). There were no significant differences in TTF (6.9 m vs. 6.9 m, p = 0.4) or TNT(9.1 m vs 10 m, p = 0.3) between groups. In multivariable analyses, older age was not independently associated with worse OS(aHR = 1.02, p = 0.8), TTF(aHR = 0.95, p = 0.6) or TNT(aHR = 0.93, p = 0.5). Older adults had a lower ORR compared to younger adults(24% vs. 31%, p = 0.01), which was mainly driven by responses in 1 L(31% vs. 44%, p = 0.02) and not observed in 2 L/3 L.

Conclusions

After multivariable analyses, older adults with mRCC treated with ICI had no difference in OS, TTF or TNT when compared to younger adults. Our data support that chronological older age should not preclude patients from receiving ICI based therapies.

Laukhtina E, Pradere B, D’Andrea D, et al.

Transl Androl Urol.2021 Feb;10(2):609-619.
DOI: 10.21037/tau-20-1101.

Abstract

Background

Accurate identification of ideal candidates for cytoreductive nephrectomy (CN) for metastatic renal cell carcinoma (mRCC) is an unmet need. We tested the association between preoperative value of systemic albumin to globulin ratio (AGR) and overall survival (OS) as well as cancer-specific survival (CSS) in mRCC patients treated with CN.

Methods

mRCC patients treated with CN were included. The overall population was therefore divided into two AGR groups using cut-off of 1.43 (low, <1.43 vs. high, ≥1.43). Univariable and multivariable Cox regression analyses tested the association between AGR and OS as well as CSS. The discrimination of the model was evaluated with the Harrel’s concordance index (C-index). The clinical value of the AGR was evaluated with decision curve analysis (DCA).

Results

Among 613 mRCC patients, 159 (26%) patients had an AGR <1.43. Median follow-up was 31 (IQR: 16-58) months. On univariable analysis, low preoperative serum AGR was significantly associated with both OS (HR: 1.55, 95% CI: 1.26-1.89, P<0.001) and CSS (HR: 1.55, 95% CI: 1.27-1.90, P<0.001). On multivariable analysis, AGR <1.43 was associated with worse OS (HR: 1.51, 95% CI: 1.23-1.85, P<0.001) and CSS (HR: 1.52, 95% CI: 1.24-1.86, P<0.001). The addition of AGR only minimally improved the discrimination of a base model that included established clinicopathologic features (C-index=0.640 vs. C-index=0.629). On DCA, the inclusion of AGR marginally improved the net benefit of the prognostic model. Low AGR remained independently associated with OS and CSS in the IMDC intermediate risk group (HR: 1.52, 95% CI: 1.16-1.99, P=0.002).

Conclusions

In our study, low AGR before CN was associated with worse OS and CSS, particularly in intermediate risk patients.

Mazzaschi G, Quaini F, Bersanelli M, et al.

Crit Rev Oncol Hematol. 2021 Apr;160:103293.
DOI: 10.1016/j.critrevonc.2021.103293.

Abstract

Background

The role of cytoreductive nephrectomy (CN) in metastatic renal cell carcinoma (mRCC) in the era of targeted- (TT) and immuno- (IT) therapy remains controversial.

Design

The primary objective of the present systematic, performed according to PRISMA guidelines review, was to assess the prevalence of nephrectomy in mRCC patients enrolled in TT/IT randomized phase II/III clinical trials (RCTs) or expanded access programs (EAPs). Medline database was searched from 2003 to 2019 for studies with available nephrectomy data.

Results

We identified 609 studies, subsequently restricted to 57 randomized phase II/III clinical trials and 6 EAPs. Overall, 33,196 patients with mRCC were included, among whom 28,700 (86.4 %) underwent nephrectomy. The trends over time of nephrectomy occurrence remained substantially stable from 2003 to 2019.

Conclusions

Our analysis highlighted that data from RCTs and EAPs driving the clinical practice originate from nephrectomized patient populations. This evidence supports the clinical relevance of CN also in mRCC patients candidate to receive TT/IT.

Marostica E, Barber R, Denize T, et al.

Clin Cancer Res. 2021 May 15;27(10):2868-2878.
DOI: 10.1158/1078-0432.CCR-20-4119.

Abstract

Purpose

Histopathology evaluation is the gold standard for diagnosing clear cell (ccRCC), papillary, and chromophobe renal cell carcinoma (RCC). However, interrater variability has been reported, and the whole-slide histopathology images likely contain underutilized biological signals predictive of genomic profiles.

Experimental design

To address this knowledge gap, we obtained whole-slide histopathology images and demographic, genomic, and clinical data from The Cancer Genome Atlas, the Clinical Proteomic Tumor Analysis Consortium, and Brigham and Women’s Hospital (Boston, MA) to develop computational methods for integrating data analyses. Leveraging these large and diverse datasets, we developed fully automated convolutional neural networks to diagnose renal cancers and connect quantitative pathology patterns with patients’ genomic profiles and prognoses.

Results

Our deep convolutional neural networks successfully detected malignancy (AUC in the independent validation cohort: 0.964-0.985), diagnosed RCC histologic subtypes (independent validation AUCs of the best models: 0.953-0.993), and predicted stage I ccRCC patients’ survival outcomes (log-rank test P = 0.02). Our machine learning approaches further identified histopathology image features indicative of copy-number alterations (AUC > 0.7 in multiple genes in patients with ccRCC) and tumor mutation burden.

Conclusions

Our results suggest that convolutional neural networks can extract histologic signals predictive of patients’ diagnoses, prognoses, and genomic variations of clinical importance. Our approaches can systematically identify previously unknown relations among diverse data modalities.

Strauss A, Schmid M, Rink M, et al.

Future Oncol. 2021 Mar 16.
DOI: 10.2217/fon-2020-1020

Abstract

Aim

Examine outcomes in sunitinib-treated patients by International Metastatic RCC Database Consortium (IMDC) or Memorial Sloan-Kettering Cancer Center (MSKCC) risk factors

Patients & methods

Patients enrolled in STAR-TOR registry (n = 327). End points included overall survival, progression-free survival and objective response rate.

Results

Overall survival was similar for IMDC 0 versus 1 (p = 0.238) or 2 versus ≥3 (p = 0.156), but different for MSKCC (0 vs 1, p = 0.037; 2 vs ≥3, p = 0.001). Progression-free survival was similar for IMDC 2 versus 3 (p = 0.306), but different for MSKCC (p = 0.009). Objective response rate was different for IMDC 1 (41.9%) and 2 (29.5%) and similar for MSKCC 1 (34.4%) and 2 (31.0%). Conclusion: Outcome data varied according to IMDC or MSKCC. MSKCC model accurately stratify patients into risk groups. Clinical trial registration: NCT00700258 (ClinicalTrials.gov).