Prognostic significance of modified Glasgow Prognostic Score in patients with non-metastatic clear cell renal cell carcinoma

Prognostic Value of Post-Operative C-Reactive Protein-Based Inflammatory Biomarkers in Colorectal Cancer Patients: Systematic Review and Meta-Analysis

Post-operative inflammation in cancer patients can be modulated by drugs and diets, but evidence on its prognostic role, which would be crucial for personalized treatment and surveillance schemes, remains rather limited. We aimed to systematically review and meta-analyse studies on the prognostic value of post-operative C-reactive protein (CRP)-based inflammatory biomarkers among patients with colorectal cancer (CRC) (PROSPERO#: CRD42022293832). PubMed, Web of Science and Cochrane databases were searched until February 2023. Studies reporting associations between post-operative CRP, Glasgow Prognostic Score (GPS) or modified Glasgow Prognostic Score (mGPS) with overall survival (OS), CRC-specific survival (CSS) and recurrence-free survival (RFS) were included. Hazard ratios (HRs) with 95% confidence intervals (CIs) for the predictor-outcome associations were pooled using R-software, version 4.2. Sixteen studies (n = 6079) were included in the meta-analyses. Elevated post-operative CRP was a predictor of poor OS, CSS and RFS compared with low CRP levels [HR (95% CI): 1.72 (1.32-2.25); 1.63 (1.30-2.05); 2.23 (1.44-3.47), respectively]. A unit increase in post-operative GPS predicted poor OS [HR (95% Cl): 1.31 (1.14-1.51)]. Moreover, a unit increase in post-operative mGPS was associated with poor OS and CSS [HR (95% Cl): 1.93 (1.37-2.72); 3.16 (1.48-6.76), respectively]. Post-operative CRP-based inflammatory biomarkers have a significant prognostic role for patients with CRC. Prognostic value of these easy-to-obtain routine measurements thereby seems to outperform most of the much more complex blood- or tissue-based predictors in the current focus of multi-omics-based research. Future studies should validate our findings, establish optimal time for biomarker assessment and determine clinically useful cut-off values of these biomarkers for post-operative risk-stratification and treatment-response monitoring.

Initial active surveillance for patients with metastatic renal cell carcinoma: 10 years' experience at a regional cancer Centre

A subset of patients with metastatic renal cell carcinoma (mRCC) follow an indolent disease course and may benefit from initial active surveillance (AS). However, selecting patients suitable for this approach is challenging. To investigate this we sought to define outcomes of patients with mRCC suitable for initial AS. All patients with mRCC clinically selected for initial AS at the Edinburgh Cancer Centre between January 2010 and December 2020 were identified. Key inflammatory biomarkers (haemoglobin, white cell count, neutrophil count, platelets, C-reactive protein [CRP], albumin, corrected calcium) and the International Metastatic RCC Database Consortium (IMDC) risk score were measured. The relationship between these and time to systemic anticancer therapy (tSACT) and overall survival (OS) was analysed. Data were available for 160 patients. Estimated median overall survival was 88.0 (interquartile range [IQR] 34.0-127.0) months. Median tSACT was 31.8 (IQR 12.0-76.3) months. On multivariate analysis, only CRP was predictive of tSACT (HR 2.47 [95% CI:1.59-3.85] p < 0.001) and OS (HR 3.89 [95% CI:2.15-6.83] p < 0.001). Patients with CRP > 10 mg/L were more likely to commence SACT within 1 year than those with CRP≤10 mg/L (41% vs. 18%, Relative Risk 2.16 (95% CI:1.18-3.96) (p = 0.012)). IMDC risk score was not predictive of tSACT or OS. Active surveillance is an appropriate initial management option for selected patients with mRCC. CRP, a biomarker of systemic inflammation, may provide additional objective information to assist clinical decision-making in patients with mRCC being considered for initial AS. Although this is a retrospective observational study, the cohort is well defined and includes all patients managed with initial AS in an inclusive real-world setting.

Contemporary Clinical Definitions, Differential Diagnosis, and Novel Predictive Tools for Renal Cell Carcinoma

Despite significant progress regarding clinical detection/imaging evaluation modalities and genetic/molecular characterization of pathogenesis, advanced renal cell carcinoma (RCC) remains an incurable disease and overall RCC mortality has been steadily rising for decades. Concomitantly, clinical definitions have been greatly nuanced and refined. RCCs are currently viewed as a heterogeneous series of cancers, with the same anatomical origin, but fundamentally different metabolisms and clinical behaviors. Thus, RCC pathological diagnosis/subtyping guidelines have become increasingly intricate and cumbersome, routinely requiring ancillary studies, mainly immunohistochemistry. Meanwhile, RCC-associated-antigen targeted systemic therapy has been greatly diversified and emerging, novel clinical applications for RCC immunotherapy have already reported significant survival benefits, at least in the adjuvant setting. Even so, systemically disseminated RCCs still associate very poor clinical outcomes, with currently available therapeutic modalities only being able to prolong survival. In lack of a definitive cure for advanced RCCs, integration of the amounting scientific knowledge regarding RCC pathogenesis into RCC clinical management has been paramount for improving patient outcomes. The current review aims to offer an integrative perspective regarding contemporary RCC clinical definitions, proper RCC clinical work-up at initial diagnosis (semiology and multimodal imaging), RCC pathological evaluation, differential diagnosis/subtyping protocols, and novel clinical tools for RCC screening, risk stratification and therapeutic response prediction.

[Predicting postoperative recurrence of stage Ⅰ-Ⅲ renal clear cell carcinoma based on preoperative CT radiomics feature nomogram]

OBJECTIVE

To explore the preoperative radiomics features (RFs) and construct a nomogram for predicting postoperative recurrence of stage Ⅰ-Ⅲ clear cell renal carcinoma (ccRCC).

METHODS

The clinicopathological data and preoperative enhanced CT images collected from 256 patients with ccRCC were used as the training dataset (175 patients) and test dataset (81 patients). The enhanced CT images of the tumor were segmented using ITK-SNAP software, and the RFs were extracted using the PyRadiomics computing platform. In the training dataset, the RFs were screened based on Lasso-CV algorithm, and the Rad_score was calculated. The Clinic factors were screened by univariate and multivariate logistic regression analysis of the clinical and pathological factors and CT characteristics. The Rad_score, Clinic、Rad_score + Clinic nomograms were constructed and verified using the test dataset. The performance, discrimination power and calibration of the nomograms were compared, and their clinical value was evaluated using decision curve analysis.

RESULTS

Six RFs were retained to calculate the Rad_score. The Clinic factors included Rad_score, KPS score, platelet, calcification and TNM clinical stage. In terms of discrimination, the Rad_score + Clinic nomogram showed better performance (AUC=0.84 for training set; AUC=0.85 for test set) than the Rad_score nomogram (AUC=0.78 for training set, P=0.029; AUC=0.77 for Test set, P=0.025) and Clinic nomogram (AUC=0.77 for training set, P=0.014; AUC=0.77 for test set, P=0.011). In terms of calibration, the P value for goodness of fit test of the Rad_score+Clinic nomogram was 0.065 for the training set and 0.628 for the test set. Decision curve analysis showed a greater clinical value of the Rad_score+Clinic nomogram with Rad_score than the Clinic nomogram without Rad_score.

CONCLUSION

The nomogram based on preoperative CT RFs has a high value for predicting postoperative recurrence of stage Ⅰ-Ⅲ ccRCC to facilitate individualized treatment of RCC.

Modified Glasgow Prognostic Score associated with survival in metastatic renal cell carcinoma treated with immune checkpoint inhibitors

BACKGROUND

The modified Glasgow Prognostic Score (mGPS) is a composite biomarker that uses albumin and C reactive protein (CRP). There are multiple immune checkpoint inhibitor (ICI)-based combinations approved for metastatic renal cell carcinoma (mRCC). We investigated the ability of mGPS to predict outcomes in patients with mRCC receiving ICI.

METHODS

We retrospectively reviewed patients with mRCC treated with ICI as monotherapy or in combination at Winship Cancer Institute between 2015 and 2020. Overall survival (OS) and progression-free survival (PFS) were measured from the start date of ICI until death or clinical/radiographical progression, respectively. The baseline mGPS was defined as a summary score based on pre-ICI values with one point given for CRP>10 mg/L and/or albumin<3.5 g/dL, resulting in possible scores of 0, 1 and 2. If only albumin was low with a normal CRP, no points were awarded. Univariate analysis (UVA) and multivariate analysis (MVA) were carried out using Cox proportional hazard model. Outcomes were also assessed by Kaplan-Meier analysis.

RESULTS

156 patients were included with a median follow-up 24.2 months. The median age was 64 years and 78% had clear cell histology. Baseline mGPS was 0 in 36%, 1 in 40% and 2 in 24% of patients. In UVA, a baseline mGPS of 2 was associated with shorter OS (HR 4.29, 95% CI 2.24 to 8.24, p<0.001) and PFS (HR 1.90, 95% CI 1.20 to 3.01, p=0.006) relative to a score of 0; this disparity in outcome based on baseline mGPS persisted in MVA. The respective median OS of patients with baseline mGPS of 0, 1 and 2 was 44.5 (95% CI 27.3 to not evaluable), 15.3 (95% CI 11.0 to 24.2) and 10 (95% CI 4.6 to 17.5) months (p<0.0001). The median PFS of these three cohorts was 6.7 (95% CI 3.6 to 13.1), 4.2 (95% CI 2.9 to 6.2) and 2.6 (95% CI 2.0 to 5.6), respectively (p=0.0216). The discrimination power of baseline mGPS to predict survival outcomes was comparable to the IMDC risk score based on Uno's c-statistic (OS: 0.6312 vs 0.6102, PFS: 0.5752 vs 0.5533).

CONCLUSION

The mGPS is prognostic in this cohort of patients with mRCC treated with ICI as monotherapy or in combination. These results warrant external and prospective validation.

Sarcopenia and modified Glasgow Prognostic Score predict postsurgical outcomes in localized renal cell carcinoma

BACKGROUND

Body composition and inflammation are gaining importance for prognostication in cancer. This study investigated the individual and combined utility of the preoperative skeletal muscle index (SMI) and the modified Glasgow Prognostic Score (mGPS) for estimating postoperative outcomes in patients with localized renal cell carcinoma (RCC) undergoing nephrectomy.

METHODS

The authors performed a retrospective review of 352 patients with localized RCC. SMI was measured via computed tomography or magnetic resonance imaging. Patients met the criteria for sarcopenia by body mass index- and sex-stratified thresholds. Multivariable and Kaplan-Meier analyses of associations of sarcopenia and mGPS with overall survival (OS), recurrence-free survival (RFS), and cancer-specific survival (CSS) were performed. Variables were analyzed independently and combined into risk groups: low risk (nonsarcopenic, low mGPS), medium risk (sarcopenia only), medium risk (inflammation only), and high risk (sarcopenic, high mGPS). Receiver operating characteristic (ROC) curves were used to analyze risk groups in comparison with the Stage, Size, Grade, and Necrosis (SSIGN) score and the modified International Metastatic RCC Database Consortium (IMDC) score.

RESULTS

The majority of the patients were at stage pT3 (63%), 39.5% of the patients were sarcopenic, and 19.3% had an elevated mGPS at the baseline. The median follow-up time was 30.4 months. Sarcopenia and mGPS were independently associated with worse OS (hazard ratio for sarcopenia, 1.64; P = .006; hazard ratio for mGPS, 1.72; P = .012), CSS, and RFS. Risk groups had an increasing association with worse RFS (P = .015) and CSS (P = .004) but not OS (P = .087). ROC analyses demonstrated a higher area under the curve for risk groups in comparison with the SSIGN and IMDC scores at 5 years.

CONCLUSIONS

Sarcopenia and an elevated mGPS were associated with worse clinical outcomes in this study of patients with localized RCC. This has implications for preoperative prognostication and treatment decision-making.

LAY SUMMARY

Kidney cancer is a disease with a wide variety of outcomes. Among patients undergoing surgical removal of the kidney for cancer that has not spread beyond the kidney, many are cured, but some experience recurrence. Physicians are seeking ways to better predict who is at risk for recurrence or death from kidney cancer. This study has evaluated body composition and markers of inflammation before surgery to predict the risk of recurrence or death after surgery. Specifically, low muscle mass and an elevated inflammation score (the modified Glasgow Prognostic Score) have been associated with an increased likelihood of recurrence of kidney cancer and death.

A Meta-Analysis of Glasgow Prognostic Score and Modified Glasgow Prognostic Score as Biomarkers for Predicting Survival Outcome in Renal Cell Carcinoma

Purpose: Accumulative studies suggest the Glasgow prognostic score (GPS) and modified Glasgow prognostic score (mGPS) to be potential biomarkers; however, their prognostic value remains debatable. Our meta-analysis focused on assessing the accurate prognostic value of GPS and mGPS in patients with renal cell carcinoma (RCC) in addition to their effectiveness.

Methods: To investigate the relationship between mGPS/GPS and prognostic value in patients with RCC, we performed a comprehensive retrieval of relevant articles from databases such as PubMed, Embase, Web of Science, and Medline up to February 1, 2020. STATA 15.0 software was used to obtain pooled hazard ratios (HRs) and their 95% confidence intervals for survival outcome, including overall survival (OS), recurrence-free survival (RFS), progression-free survival (PFS), and cancer-specific survival (CSS). A formal meta-analysis of these outcomes was performed.

Results: In total, 2,691 patients with RCC were enrolled from 15 cohort studies. Higher GPS/mGPS (GPS/mGPS of 2) indicated poorer OS, CSS, PFS, and RFS in patients with RCC. Similarly, medium GPS/mGPS (GPS/mGPS of 1) also had a significant association with poorer OS, CSS, PFS, and RFS but superior than higher GPS/mGPS in these patients.

Conclusion: GPS and mGPS are effective biomarkers for predicting prognosis in patients with RCC, and higher GPS and mGPS are closely related to inferior survival outcomes. More randomized controlled trials are needed to investigate the promising value of GPS/mGPS in the future.

Prognostic Significance of the Modified Glasgow Prognostic Score in Patients With Pancreatic Cancer: A Meta-Analysis

BACKGROUND

The prognostic value of the modified Glasgow prognostic score (mGPS) in patients with pancreatic cancer is controversial, based on previous studies. Therefore, this meta-analysis aimed to explore the relationship between mGPS and prognosis in pancreatic cancer.

METHODS

The databases PubMed, Web of Science, Embase, and the Cochrane Library were searched to identify eligible studies. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used to estimate the associations between mGPS score and survival outcomes.

RESULTS

A total of 26 studies with 5198 patients were included in this meta-analysis. In a pooled analysis, elevated mGPS predicted poorer overall survival (OS; HR = 1.98, 95% CI, 1.65-2.37, P < .001). In addition, elevated mGPS was also significantly associated with worse progression-free survival (PFS), disease-free survival (DFS), and cancer-specific survival (CSS; HR = 1.95, 95% CI, 1.36-2.80, P < .001). Subgroup analyses confirmed a significant association between mGPS and survival outcomes.

CONCLUSIONS

Our meta-analysis demonstrated that high mGPS was correlated to worse OS, PFS, DFS, and CSS in patients with pancreatic cancer. Therefore, mGPS could be employed as an effective prognostic factor for pancreatic cancer in clinical practice.

The Interplay between Inflammation, Anti-Angiogenic Agents, and Immune Checkpoint Inhibitors: Perspectives for Renal Cell Cancer Treatment

Treatment options for metastatic renal cell carcinoma (RCC) have been expanding in the last years, from the consolidation of several anti-angiogenic agents to the approval of immune checkpoint inhibitors (ICIs). The rationale for the use of immunomodulating agents derived from the observation that RCC usually shows a diffuse immune-cell infiltrate. ICIs target Cytotoxic T Lymphocytes Antigen 4 (CTLA-4), programmed death 1 (PD-1), or its ligand (PD-L1), showing promising therapeutic efficacy in RCC. PD-L1 expression is associated with poor prognosis; however, its predictive role remains debated. In fact, ICIs may be a valid option even for PD-L1 negative patients. The establishment of valid predictors of treatment response to available therapeutic options is advocated to identify those patients who could benefit from these agents. Both local and systemic inflammation contribute to tumorigenesis and development of cancer. The interplay of tumor-immune status and of cancer-related systemic inflammation is pivotal for ICI-treatment outcome, but there is an unmet need for a more precise characterization. To date, little is known on the role of inflammation markers on PD-1 blockade in RCC. In this paper, we review the current knowledge on the interplay between inflammation markers, PD-1 axis, and anti-angiogenic agents in RCC, focusing on biological rationale, implications for treatment, and possible future perspectives.

Pre-treatment Glasgow prognostic score and modified Glasgow prognostic score may be potential prognostic biomarkers in urological cancers: a systematic review and meta-analysis

Background

The prognostic role of Glasgow prognostic score (GPS) or modified GPS (mGPS) in various cancers has been investigated. However, no unified conclusion could be drawn in urological cancers. So, we aimed to explore the potential role of GPS/mGPS in urological cancers.

Methods

Related studies were searched from PubMed, Web of Science and Embase up to May 30th, 2019 comprehensively. Their associations were assessed by the pooled hazard ratios (HRs) with its 95% confidence intervals (CIs).

Results

A total of 20 related studies were enrolled in this meta-analysis. The outcomes revealed that a relatively lower level of pre-treatment GPS/mGPS was associated with better overall survival (OS), cancer specific survival (CSS)/disease-specific survival (DSS) and disease-free survival (DFS)/progress-free survival (PFS)/recurrence-free survival (RFS) (pooled HR =2.70; 95% CI, 1.81-4.01; pooled HR =2.90; 95% CI, 2.00-4.22; pooled HR =2.43; 95% CI, 1.62-3.66, respectively). Subgroup analysis by cancer type for OS indicated that GPS/mGPS could also be a predictor no matter in renal cell cancer (RCC) or bladder cancer (BC) (pooled HR =3.60; 95% CI, 2.07-6.28 and pooled HR =2.71; 95% CI, 1.08-6.82). Similar results could be found in CSS/DSS (RCC: HR =4.12; 95% CI, 2.69-6.30) and in DFS/ PFS/RFS (RCC: HR =2.66; 95% CI, 1.82-3.90 and BC: HR =1.52; 95% CI, 1.23-1.88). As for the treatment subgroup, pre-treatment GPS/mGPS played an independent role in OS for patients no matter in which treatment type (Surgery: pooled HR =2.16; 95% CI, 1.43-3.26; Chemotherapy: pooled HR =4.41; 95% CI, 2.27-8.58); the same in CSS/DSS (Surgery: pooled HR =3.28; 95% CI, 1.73-6.20; Immunotherapy: pooled HR =2.72; 95% CI, 1.87-3.96) and DFS/RFS/PFS (Surgery: pooled HR =2.54; 95% CI, 1.65-3.92). Lastly, both GPS and mGPS played prognostic role in OS, CSS/DSS or DFE/RFS/PFS (OS: GPS: pooled HR =2.12; 95% CI, 1.04-4.32; mGPS: pooled HR =3.12; 95% CI, 1.87-5.20; CSS/DSS: GPS: pooled HR =2.87; 95% CI, 2.11-3.91; mGPS: pooled HR =3.00; 95% CI, 1.60-5.63; DFS/RFS/PFS: GPS: pooled HR =3.61; 95% CI, 1.43-9.07; mGPS: pooled HR =1.99; 95% CI, 1.32-2.99).

Conclusions

This study shed light on that GPS/mGPS might be an independent prognostic factor in urological cancers, indicating that a lower level of pre-treatment GPS/mGPS was closely related to better survival outcomes.

Modified Glasgow prognostic score as a prognostic factor for renal cell carcinomas: a systematic review and meta-analysis

Objective

The modified Glasgow prognostic score (mGPS), a combination of C-reactive protein (CRP) and albumin levels, reflects systemic inflammation and nutritional status. This score has been shown to have prognosis value for various tumors. In the present study, we evaluated the prognostic value of mGPS for patients with renal cell carcinoma (RCC).

Methods

Literature search was conducted based on PubMed, Embase, and Cochrane Central Register of Controlled Trials up to December 2018. We pooled HRs and 95% CIs to evaluate the correlation between mGPS and survival in patients with RCC.

Results

Twelve studies comprising 2,391 patients were included in the present study for quantitative synthesis. Our studies demonstrated that higher mGPS was significantly correlated to poor overall survival (HR=4.31; 95%CI, 2.78–6.68; P<0.001), cancer-specific survival (HR=5.88; 95%CI, 3.93–8.78; P<0.001), recurrence-free survival (HR=3.15; 95%CI, 2.07–4.79; P<0.001), and progression-free survival (HR=1.91; 95%CI, 1.27–2.89; P=0.002). Subgroup analyses also confirmed the overall results.

Conclusion

mGPS could serve as a predictive tool for the survival of patients with RCC. In the different subgroups, the results are also consistent with previous results. In conclusion, pretreatment higher mGPS is associated with poorer survival in patients with RCC. Further external validations are necessary to strengthen this concept.

The CANLPH Score, an Integrative Model of Systemic Inflammation and Nutrition Status (SINS), Predicts Clinical Outcomes After Surgery in Renal Cell Carcinoma: Data From a Multicenter Cohort in Japan

BACKGROUND

A myriad of studies have demonstrated the clinical association of systemic inflammatory and nutrition status (SINS) including C-reactive protein/albumin ratio (CAR), the neutrophil/lymphocyte ratio (NLR), and the platelet/hemoglobin ratio (PHR). This study aimed to investigate the predictive value of the score integrating these variables (CANLPH) in patients with renal cell carcinoma (RCC).

METHODS

Using cohort data from a multi-institutional study, 757 of 1109 patients were retrospectively analyzed. The optimal cutoff value for outcome prediction of continuous variables in CAR, NLR, and PHR was determined and the CANLPH score was then calculated as the sum score of 0 or 1 by the cutoff value in each ratio.

RESULTS

The median follow-up time was 76 months for the patients who survived (n = 585) and 31 months for those who died (n = 172). The Youden Index offered an optimal cutoff of 1.5 for CAR and 2.8 for NLR, and a higher value from the cutoff was assigned as a score of 1. The cutoff value of the PHR was defined as 2.1 for males and 2.3 for females. The patients were assigned a CANLPH score of 0 (47.2%), 1 (31.3%), 2 (13.1%), or 3 (8.5%). In the multivariate analysis, the CANLPH score served as an independent predictor of cancer-specific mortality in both localized and metastatic RCC.

CONCLUSION

The score was well-correlated with clinical outcome for the RCC patients. Because this score can be concisely measured at the point of diagnosis, physicians may be encouraged to incorporate this model into the treatment for RCC.

The high-sensitivity modified Glasgow prognostic score is superior to the modified Glasgow prognostic score as a prognostic predictor for head and neck cancer

Background

There is increasing evidence that the inflammatory indices of modified Glasgow prognostic score (mGPS) and high-sensitivity mGPS (HS-mGPS) play important roles in predicting the survival in many cancer; however, evidence supporting such an association in head and neck cancer (HNC) is scarce.

Materials and Methods

We evaluated the impact of the mGPS and HS-mGPS on the overall survival (OS) in 129 patients with HNC treated at Aichi Cancer Center Central Hospital from 2012-2013. The mGPS was calculated as follows: mGPS of 0, C-reactive protein (CRP) ≤1.0 mg/dl; 1, CRP >1.0 mg/dl; 2, CRP>1.0 mg/dl and albumin <3.5 mg/dl. Regarding the HS-mGPS, the CRP threshold level was set as 0.3 mg/dl. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were estimated by Cox proportional hazard models after adjusting for potential confounders.

Results

The prognosis of HNC worsened significantly as both the mGPS and HS-mGPS increased in a univariate analysis. After adjusting for covariates, the HS-mGPS was significantly associated with the OS (adjusted HR for HS-mGPS of 2 compared to an HS-mGPS of 0 [HR_score2-0] 3.14 [95% CI: 1.23-8.07], P_trend < 0.001), while the mGPS was suggested to be associated with the survival (HR_score2-0 2.37 [95% CI:0.89-6.33], P_trend = 0.145). Even after stratification by clinical covariates, these associations persisted.

Conclusion

We conclude that the HS-mGPS is useful as an independent prognostic factor in HNC.

Role of systemic inflammatory response markers in urological malignancy

The systemic inflammatory response is associated with survival in patients with a variety of cancers. This inflammatory response is measured in the peripheral blood, and can be monitored using two categories of indices: concentration of specific serum proteins (albumin, C-reactive protein) and differential blood cell count (neutrophils, lymphocytes and platelets). Furthermore, combinations of these indices, such as the Glasgow Prognostic Score, which consists of the serum C-reactive protein and albumin level; the neutrophil-to-lymphocyte ratio; the platelet-to-lymphocyte ratio; and the prognostic nutritional index, which is based on peripheral blood lymphocyte count and serum albumin level, have also been evaluated and compared in cancer research. To date, there are hundreds of studies that have shown the prognostic value of systemic inflammatory response markers in patients with urological cancer. Most studies have evaluated the prognostic and predictive role of the pretreatment value of the markers, although some have focused on the role of the post-treatment value at specific points during the clinical course. The advantages of systemic inflammatory response markers are that they are easily measurable and inexpensive in the clinical setting. However, it is important to consider how clinicians use these markers in clinical practice. The present review provides a concise overview regarding systemic inflammatory markers in urological cancers, specifically C-reactive protein, Glasgow Prognostic Score/modified Glasgow Prognostic Score, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio and prognostic nutritional index.

Development and confirmation of potential gene classifiers of human clear cell renal cell carcinoma using next-generation RNA sequencing

OBJECTIVE

A previous study by this group demonstrated the feasibility of RNA sequencing (RNAseq) technology for capturing disease biology of clear cell renal cell carcinoma (ccRCC), and presented initial results for carbonic anhydrase-9 (CA9) and tumor necrosis factor-α-induced protein-6 (TNFAIP6) as possible biomarkers of ccRCC (discovery set) [Eikrem et al. PLoS One 2016;11:e0149743]. To confirm these results, the previous study is expanded, and RNAseq data from additional matched ccRCC and normal renal biopsies are analyzed (confirmation set).

MATERIALS AND METHODS

Two core biopsies from patients (n = 12) undergoing partial or full nephrectomy were obtained with a 16 g needle. RNA sequencing libraries were generated with the Illumina TruSeq^® Access library preparation protocol. Comparative analysis was done using linear modeling (voom/Limma; R Bioconductor).

RESULTS

The formalin-fixed and paraffin-embedded discovery and confirmation data yielded 8957 and 11,047 detected transcripts, respectively. The two data sets shared 1193 of differentially expressed genes with each other. The average expression and the log₂-fold changes of differentially expressed transcripts in both data sets correlated, with R²=.95 and R²=.94, respectively. Among transcripts with the highest fold changes were CA9, neuronal pentraxin-2 and uromodulin. Epithelial-mesenchymal transition was highlighted by differential expression of, for example, transforming growth factor-β₁ and delta-like ligand-4. The diagnostic accuracy of CA9 was 100% and 93.9% when using the discovery set as the training set and the confirmation data as the test set, and vice versa, respectively. These data further support TNFAIP6 as a novel biomarker of ccRCC. TNFAIP6 had combined accuracy of 98.5% in the two data sets.

CONCLUSIONS

This study provides confirmatory data on the potential use of CA9 and TNFAIP6 as biomarkers of ccRCC. Thus, next-generation sequencing expands the clinical application of tissue analyses.

Prognostic value of the Glasgow Prognostic Score in renal cell carcinoma: a meta-analysis

PURPOSE

Glasgow Prognostic Score (GPS) has been reported to predict oncologic outcomes in various type of cancer. However, their prognostic value in patients with renal cell carcinoma (RCC) is unclear. In this meta-analysis, we evaluated the prognostic significance of GPS in RCC patients.

METHODS

We performed comprehensive searches of electronic databases to identify studies that evaluated the prognostic impact of pretreatment GPS in RCC patients. The end points were cancer-specific survival (CSS), recurrence-free/disease-free survival (RFS/DFS). Meta-analysis using random-effects models was performed to calculate hazard ratios (HRs) or odds ratios with 95 % confidence intervals (CIs).

RESULTS

Nine retrospective, observational, cohort studies involving 2096 patients were included. Seven studies evaluated CSS, and three evaluated RFS. Our results showed that higher GPS (0 vs. 1 vs. 2) was significantly predictive of poorer CSS (HR 3.68, 95 % CI 2.52-5.40, p < 0.001) and RFS/DFS (HR 2.83, 95 % CI 1.86-4.30, p < 0.001) in patients with RCC. These findings were robust when stratified by sample size, presence of metastasis, and study region. We also conducted subgroup analysis by assessment of Newcastle-Ottawa quality assessment scale (NOS) score, and the HRs were 2.708 (95 % CI 1.969, 3.725) in under 7 points group, 3.685 (95 % CI 2.516, 5.396) in over than 7 points group in CSS. Meta-regression analysis indicated that NOS score group had a significant difference in HRs (p = 0.032).

CONCLUSIONS

Higher GPS is associated with tumor progression and is predictive of poorer survival in patients with RCC. Therefore, GPS may help to inform treatment decisions and predict treatment outcomes.