Prognostic Significance of Inflammation-associated Blood Cell Markers in Nonmetastatic Clear Cell Renal Cell Carcinoma

ObjectivesOur objective was to evaluate the effect of the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), and red blood cell distribution width (RDW) on the survival outcomes of nonmetastatic clear cell renal cell carcinoma (ccRCC).Materials and MethodsWe accessed our single-center, urologic-oncologic registry to extract the data for patients who had undergone nephrectomy for nonmetastatic ccRCC. The optimal cutoff for these markers was determined using X-tile software, and survival analyses using Cox regression were performed.ResultsA total of 687 patients had undergone nephrectomy. The optimal cutoffs for NLR, PLR, LMR, and RDW were 3.3, 210, 2.4, and 14.3%, respectively. The NLR, PLR, LMR, and RDW were significantly associated with a larger pathologic tumor size, and stage, more aggressive Fuhrman grade, and the presence of tumor necrosis. After adjusting for age, baseline Eastern Cooperative Oncology Group, pathologic tumor and nodal stage, and Fuhrman grade, only PLR remained an independent prognostic marker for both cancer-specific survival (hazard ratio, 2.69; 95% confidence interval, 1.36-5.33; P = .004) and overall survival (hazard ratio, 2.19; 95% confidence interval, 1.36-3.50; P = .001). When the PLR was included with the Leibovich score and University of California, Los Angeles, integrated staging system, the Harrell’s c-index increased from 0.854 to 0.876 and 0.751 to 0.810, respectively, for cancer-specific survival at 5 years after nephrectomy. When risk stratified by the Leibovich risk group and UCLA integrated staging system, PLR was a significant prognostic factor only within the intermediate- to high-risk groups.ConclusionsPLR is a robust prognostic marker in nonmetastatic ccRCC that clearly outperforms other inflammatory indexes in those who had undergone nephrectomy. However, its prognostic effect was limited in the low-risk category of ccRCC.     

Pathological images for personal medicine in Hepatocellular carcinoma: Cross-talk of gene sequencing and pathological images

Background: Considering the great heterogeneity of Hepatocellular carcinoma (HCC), more accurate prognostic models are urgently needed. This paper combined the advantages of genomics and pathomics to construct a prognostic model. Methods: First, we collected data from hepatocellular carcinoma patients with complete mRNA expression profiles and clinical annotations from the TCGA database. Then, based on immune-related genes, we used random forest plots to screen prognosis-related genes and build prognostic models. Bioinformatics was used to identify biological pathways, evaluate the tumor microenvironment, and perform drug susceptibility testing. Finally, we divided the patients into different subgroups according to the gene model algorithm. Pathological models were constructed by obtaining HE-stained sections from TCGA in corresponding subgroups of patients. Results: In this study, we constructed a stable prognostic model that could predict overall survival in HCC patients. The signature consisted of six immune-related genes (BX537318.1, TMEM147, CSPG4P12, AC015908.3, CEBPZOS, and SRD5A3). We found increased levels of infiltration of immune cells in the tumor microenvironment in patients with low risk scores, indicating significant antitumor immunity and corresponding to better clinical outcomes. We then screened nine drugs that were more sensitive in the low-risk group than in the high-risk group. Finally, we addressed the complex cellular changes and phenotypic heterogeneity in the HCC microenvironment by combining genomics and pathomics analysis methods. Conclusion: Our study showed that the prognostic evaluation model of HCC based on the immune signaling pathway is feasible and provided a reference value for potential immunotherapy for HCC.     

PD-1 Relevant Genes Predict the Prognosis of Breast Cancer and Their Prediction Effect in Tumor Response to Immunotherapy

Background: Immunotherapy is becoming a powerful approach in the treatment of breast cancer. However, high response rates in the majority of breast cancer patients have yet to be achieved. Materials and Methods: Based on public data sources, we identified 22 genes that are correlated with PD-1 expression as well as differentially expressed between tumor tissues and normal tissues, and high expression of all the key genes was correlated with a superior survival outcome. Using the least absolute shrinkage and selection operator Cox regression model, a risk score was constructed. Results: A multivariate Cox analysis showed that the constructed risk score was an independent prognostic factor (AUC of risk score: 0.63, HR of risk score: 11.7, C-index: 0.69). Furthermore, an analysis of TILs in the TCGA BRCA cohort identified 28 distinct immune cell types. T lymphocytes and myeloid-derived suppressor cells were enriched in low-risk patients. The risk score was positively correlated with immune checkpoint genes for PD-1, PD-L1, PD-L2, and CTLA4 (P < 0.05). In addition, two independent cohorts validated the prognostic value and the predictive value of the immunotherapy response of the risk score. Conclusions: The risk score demonstrated a stable predictive ability in breast cancer prognosis and a predictive value in tumor response to immunotherapy. The analysis of TILs revealed the correlation between risk score and immune cells, which also helps elucidate the complexity of the relationship between TILs and immunotherapy response.     

Construction of a competing endogenous RNA network related to the prognosis of cholangiocarcinoma and comprehensive analysis of the immunological correlation

BackgroundCholangiocarcinoma (CCA) is a malignant tumor of the digestive system, with occult onset in the early stage, a high degree of malignancy in the late stage, and poor prognosis. At present, the pathogenesis of CCA is not clear, and there is a lack of effective immunotherapy. The purpose of this study was to identify the potential regulatory mechanism of CCA and analyze the possibility of its related immunotherapy.MethodsThe circular RNAs (circRNAs) expression profile data of CCA was downloaded from the Gene Expression Omnibus (GEO) database; the miRNA and mRNA expression profile data of CCA were downloaded from The Cancer Genome Atlas (TCGA) database. Prognostic factors were screened by univariate Cox regression analysis, and the competing endogenous RNA (ceRNA) network was constructed via survival analysis. Multivariate Cox analysis was used to screen the independent prognostic factors and construct a prognostic correlation subnetwork. Analyzing the tumor microenvironment of CCA and survival analysis were performed according to the score of the microenvironment, and the distribution of tumor infiltrating immune cells (TICs) in CCA was calculated using the CIBERSORT algorithm. We explored the expression pattern of the target genes in pan-cancer, and the correlation between the key genes in the ceRNA subnetwork, TICs and immune checkpoints was analyzed using an online database. Finally, the expression levels of target genes were validated based on the Human Protein Atlas (HPA) databases.ResultsWe screened four circRNAs, 10 miRNAs, and 17 mRNAs with significant differences, and constructed the ceRNA network. Independent prognostic factors were screened by multivariate Cox regression analysis, and a subnetwork containing five nodes (hsa_circ_0002073→hsa-mir-4524a-3p→SLC16A3/SLC35E4/DDX4) was constructed. Further analysis showed that SLC16A3 was not only an independent posterior factor of CCA, but was also closely correlated with immune cells, immune checkpoints, and immunotherapy, and had a certain regulatory effect on the tumor microenvironment.ConclusionsOur study identified a novel prognostic marker of CCA, SLC16A3, and revealed the regulatory role of SLC16A3 in the tumor microenvironment, which is expected to provide new insights for the early diagnosis, prognosis, and targeted therapy of CCA.     

Neoadjuvant Sorafenib Treatment of Clear Cell Renal Cell Carcinoma and Release of Circulating Tumor Fragments

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is characterized by high constitutive vascular endothelial growth factor A (VEGF-A) production that induces a specific vascular phenotype. We previously reported that this phenotype may allow shedding of multicellular tumor fragments into the circulation, possibly contributing to the development of metastasis. Disruption of this phenotype through inhibition of VEGF signaling may therefore result in reduced shedding of tumor fragments and improved prognosis. To test this hypothesis, we investigated the effect of neoadjuvant sorafenib treatment on tumor cluster shedding. PATIENTS AND METHODS: Patients with renal cancer (n = 10, of which 8 have ccRCC) received sorafenib for 4 weeks before tumor nephrectomy. The resection specimens were perfused, and the perfundate was examined for the presence of tumor clusters. Effects of the treatment on the tumor morphology and overall survival were investigated (follow-up of 2 years) and compared with a carefully matched control group. RESULTS: Neoadjuvant sorafenib treatment induced extensive ischemic tumor necrosis and, as expected, destroyed the characteristic ccRCC vascular phenotype. In contrast to the expectation, vital groups of tumor cells with high proliferation indices were detected in postsurgical renal venous outflow in 75% of the cases. Overall survival of patients receiving neoadjuvant treatment was reduced compared to a control group, matched with regard to prognostic parameters. CONCLUSIONS: These results suggest that neoadjuvant sorafenib therapy for ccRCC does not prevent shedding of tumor fragments. Although this is a nonrandomized study with a small patient group, our results suggest that neoadjuvant treatment may worsen survival through as yet undefined mechanisms.Abbreviations: ccRCC, clear cell renal cell carcinoma; VEGF, vascular endothelial growth factor     

Prognostic Impact of Loss of SETD2 in Clear Cell Renal Cell Carcinoma

PurposeTo evaluate the prognostic impact of immunohistochemical expression of SETD2 in patients with clear cell renal cell carcinoma (ccRCC).Patients and MethodsA total of 662 patients with primary or metastatic ccRCC were evaluated. Two genitourinary pathologist reviewed all of the cases for uniform reclassification and determined the selection of the most representative tumor areas for construction of the tissue microarray (TMA).ResultsSETD2 nuclear staining showed that 101 areas (15.3%) had negative expression, and 561 areas (84,7%) had positive expression of SETD2. The protein expression of SETD2 was associated with clinical stage (P < .001), pathological stage (P < .001), tumor size (P < .001), perinephric fat invasion (P < .001), Eastern Cooperative Oncology Group status (P = .004), surgery type (P < .001), International Society of Urologic Pathologists grade (P < .001), and tumor necrosis (P < .001). SETD2 influenced disease-specific survival (DSS) and overall survival (OS). DSS rates in patients with positive and negative expression of SETD2 were 90.2% and 58.4%, respectively (P < .001). OS rates in patients with positive and negative expression of SETD2 were 87% and 55.4%, respectively (P < .001). In a multivariate Cox analysis, low SETD2 expression was an independent predictor of DSS (hazard ratio [HR], 1.690; 95% confidence interval [CI], 1.0582.700; P = .031) and OS (HR, 1.641; 95% CI, 1.039-2.593; P = .037).ConclusionOur study showed that the negative expression of SETD2 was associated with a worse prognosis, and it was an independent predictor of survival in patients with ccRCC. We believe that the protein expression of SETD2 is an important biomarker in the management of patients with ccRCC.     

Low Expression of ATM Indicates a Poor Prognosis in Clear Cell Renal Cell Carcinoma

IntroductionThe study was carried out to examine the expression of ataxia telangiectasia mutant (ATM) of clear cell renal cell carcinoma (ccRCC), and to explore the relationship between the expression of ATM and the clinicopathologic parameters and prognosis of ccRCC.Materials and MethodsClinicopathologic data of the patients with ccRCC were collected from January 2011 to August 2015 in Xiangya Hospital, Central South University. The immunohistochemical method was used to detect the expression of ATM in ccRCC and adjacent tissues. The Kaplan-Meier survival method and log-rank test were used to analyze the relationship between ATM expression and the survival time of the patients with ccRCC. Univariate and multivariate Cox regression analysis was used to evaluate the risk factors for the prognosis of ccRCC.ResultsA total of 110 patients were selected in this study, including 73 men and 37 women. The expression of ATM in ccRCC is significantly lower than that in adjacent tissues. Further analysis found that the expression of ATM in the ccRCC tissues above grade II was lower than that of grade II or below. Kaplan-Meier survival analysis showed that the total survival time of the ATM low expression group was significantly shorter than that of the ATM high expression group. The multivariate Cox regression analysis showed that expression of ATM and clinical stage were independent factors affecting the prognosis of ccRCC.ConclusionATM expression level could serve as an independent risk factor for the prognosis of ccRCC and could be considered as a potential therapeutic target of ccRCC.     

Histologic Growth Patterns in Clear Cell Renal Cell Carcinoma Stratify Patients into Survival Risk Groups

IntroductionGenomic and morphologic heterogeneity in clear cell renal cell carcinoma (ccRCC) presents a barrier to prognostication and treatment decisions. Data from pathology are used with clinical markers to predict disease progression after nephrectomy. However, determining the risk of cancer recurrence, and survival with metastatic cancer remains challenging. Recently, analysis of histologic growth patterns (HGP) in ccRCC revealed promising associations with survival outcomes.MethodsTo investigate whether HGPs can be used to predict overall survival (OS) after nephrectomy, we examined 24 HGPs in primary tumors of 147 patients that included 107 patients with metastatic disease.ResultsThe median number of HGPs per case was 5 and was greater in metastatic and larger tumors. After adjustment for 6 pathologic and demographic variables, HGPs were significantly associated with OS post nephrectomy. Small nests, expansile nests and nests with high nuclear to cytoplasmic ratio were associated with favorable outcomes; while spindled low grade, fused nests/solid sheets, rhabdoid, and sarcomatoid patterns were associated with unfavorable outcomes. A 3-tiered and a 2-tiered risk model were developed based on combinations of HGPs. The models performed equally well as WHO/ISUP nucleolar plus necrosis grade (necrosis grade), and better than WHO/ISUP nucleolar grade alone in predicting OS at the median OS of 6 years. Pairwise correlations between HGPs revealed 2 tumor evolutionary branches that differed in risk of metastatic disease: one with mesenchymal differentiation, and other with epithelial tubulopapillary differentiation. While 44 of 107 (41%) patients with metastatic ccRCC displayed evidence of mesenchymal differentiation, mesenchymal features were only observed in 1 of 40 (3%) patients without evidence of metastatic disease.ConclusionThese findings suggest that HGPs may provide a novel path to refine the estimation of OS after nephrectomy and to determine the molecular basis of tumor evolution.     

Impact of Histology and Tumor Grade on Clinical Outcomes Beyond 5 Years of Follow-Up in a Large Cohort of Renal Cell Carcinomas

IntroductionThe optimal length for clinical follow-up of renal cell carcinoma (RCC) patients is unclear. We evaluated the impact of ISUP/WHO tumor grade and histological subtype on short- and long-term survival and risk of recurrence/metastasis in a large cohort of RCC patients.Patients and MethodsWe studied 1679 RCC patients from a single referral center in Italy. Adjusted hazard ratios for overall survival were estimated using Cox regression models. Adjusted absolute risk of developing recurrence or metastasis was computed considering competing risks of mortality.ResultsDuring up to 13 years of follow-up, 175 (10.4%) RCC patients died, of whom 92% beyond 5 years. Hazard ratio of grade IV clear cell carcinomas (ccRCC) was 3.82 compared to grade II. Notably, 33% of recurrences and 56% of distant metastases occurred beyond 5 years of follow-up. The estimated probabilities of recurrence/metastasis were 15% and 45% within and beyond 5 years of follow-up, respectively. After 5 years, the absolute risk of recurrences increased also for papillary renal cell carcinoma type I (35.2%) and grade I ccRCC (17%).ConclusionAfter 5 years of follow-up, both risk of mortality and recurrences or metastases were high and were modified by histological types and tumor grade. These data strongly support histology- and grade-tailored surveillance strategies and long-term follow-up for RCC patients.     

Magnetic Resonance Imaging Radiomics Analyses for Prediction of High-Grade Histology and Necrosis in Clear Cell Renal Cell Carcinoma: Preliminary Experience

IntroductionPercutaneous renal mass biopsy results can accurately diagnose clear cell renal cell carcinoma (ccRCC); however, their reliability to determine nuclear grade in larger, heterogeneous tumors is limited. We assessed the ability of radiomics analyses of magnetic resonance imaging (MRI) to predict high-grade (HG) histology in ccRCC.Patients and MethodsSeventy patients with a renal mass underwent 3 T MRI before surgery between August 2012 and August 2017. Tumor length, first-order statistics, and Haralick texture features were calculated on T2-weighted and dynamic contrast-enhanced (DCE) MRI after manual tumor segmentation. After a variable clustering algorithm was applied, tumor length, washout, and all cluster features were evaluated univariably by receiver operating characteristic curves. Three logistic regression models were constructed to assess the predictability of HG ccRCC and then cross-validated.ResultsAt univariate analysis, area under the curve values of length, and DCE texture cluster 1 and cluster 3 for diagnosis of HG ccRCC were 0.7 (95% confidence interval [CI], 0.58-0.82, false discovery rate P = .008), 0.72 (95% CI, 0.59-0.84, false discovery rate P = .004), and 0.75 (95% CI, 0.63-0.87, false discovery rate P = .0009), respectively. At multivariable analysis, area under the curve for model 1 (tumor length only), model 2 (length + DCE clusters 3 and 4), and model 3 (DCE cluster 1 and 3) for diagnosis of HG ccRCC were 0.67 (95% CI, 0.54-0.79), 0.82 (95% CI, 0.71-0.92), and 0.81 (95% CI, 0.70-0.91), respectively.ConclusionRadiomics analysis of MRI images was superior to tumor size for the prediction of HG histology in ccRCC in our cohort.     

Clinicopathological features and prognostic impact of splenic hilar lymph node metastasis in proximal gastric carcinoma

BackgroundLymph nodes (LNs) at the splenic hilum (no. 10) are treated as regional LNs in proximal gastric carcinoma. However, patients with no.10 LN metastasis show a poor prognosis after curative surgery. This study aimed to investigate the prognostic impact of no.10 LN metastasis in proximal gastric carcinoma.MethodsWe retrospective reviewed 665 proximal gastric carcinoma patients who underwent total gastrectomy and D2 LN dissection. Clinicopathological features were compared between patients with and without no.10 LN metastasis. The prognostic value of no.10 LN metastasis was examined using Cox prognostic model.ResultsThere were 63 (9.5%) patients with no. 10 LN metastasis. No. 10 LN metastasis only existed in stage III/IV, and was significantly associated with greater curvature/circumferential tumor location, larger tumor size, B4 gross type, undifferentiated histology, lymphovascular invasion. The 5-year survival of no.10 LN metastasis group was 26%, which was significantly lower than those without no.10 LN metastasis (79%, p < 0.001). Patients with no. 10 LN metastasis also showed a significantly worse survival than those without in each tumor stage (stage III = 45% vs. 66%, p = 0.044, stage IV = 13% vs. 33%, p = 0.024). In the multivariate cox model, no.10 LN metastasis was an independent poor prognostic factor when adjusting for TNM stage and other prognostic factors.ConclusionThe prognosis of no.10 LN metastasis is as poor as that of distant metastasis. This suggests that no. 10 LN should rather be considered as non-regional LNs in the treatment of proximal gastric carcinoma.     

Tumor Necrosis on Magnetic Resonance Imaging Correlates With Aggressive Histology and Disease Progression in Clear Cell Renal Cell Carcinoma

ObjectiveThe study objective was to correlate the magnetic resonance imaging (MRI) features of clear cell renal cell carcinoma (ccRCC) with the histopathologic features and disease progression.MethodsInstitutional review board approval for this retrospective study was obtained; patient consent was not required. The initial staging MRI scans of 75 patients with histologically confirmed ccRCC were retrospectively reviewed. The imaging was assessed by 2 radiologists for the presence of tumor necrosis, cystic degeneration, intracellular fat, hemorrhage, retroperitoneal collaterals, and renal vein thrombosis. Quantitative analysis for the MRI presence of intracellular lipid within tumors was performed. MRI findings were correlated with histopathologic findings of clear cell percentage, alveolar and tubular growth pattern, and disease progression. Statistical associations were evaluated with nonparametric univariable analyses and multivariable logistic regression models.ResultsCorrelation between MRI and histopathologic features was performed in 75 patients, whereas follow-up data were available for progression analysis in 68 patients. The presence of tumor necrosis, retroperitoneal collaterals, and renal vein thrombosis on MRI was significantly associated with a low percentage of tumor cells with clear cytoplasm (P < .01) and metastatic disease at presentation or disease progression (P < .01). At multivariable analysis, necrosis remained the only feature statistically associated with disease progression (P = .03; adjusted odds ratio, 27.7; 95% confidence interval, 1.4-554.7 for reader 1 and P = .02; adjusted odds ratio, 29.3; 95% confidence interval, 1.7-520.8 for reader 2).ConclusionsNecrosis in ccRCC on MRI correlates with the histopathologic finding of lower percentage of tumor cells with clear cytoplasm and is a poor prognostic indicator irrespective of tumor size.     

Construction and evaluation of prognostic models for esophageal cancer patients with distant and non-distant metastases: providing a reference process for clinical diagnosis and treatment

BackgroundAlthough the current treatment for esophageal cancer has great technological progress, the 5-year survival rate of patients is not optimistic. About 70% of patients with esophageal cancer are at an advanced stage at first diagnosis. These patients are prone to distant metastasis, and the prognosis is poor. Therefore, understanding the risk factors for distant metastasis in patients with esophageal cancer, combined with the prognosis of the patient, can aid in choosing the optimal diagnosis and treatment plan. Ultimately, it will improve the patient’s survival time and quality of life. This research aims to construct a model for the risk assessment of distant metastasis in patients with esophageal cancer and prognostic models for patients with distant and non-distant metastases.MethodsThe Surveillance Epidemiology and End Results (SEER) database was used to select patients with esophageal cancer from 2010 to 2015. The optimal cutoff point was selected for the age and tumor size variables using X-tile. The nomogram was constructed using R software (The R Foundation for Statistical Computing).ResultsGender, grade, T stage, N stage, and tumor size were independent risk factors associated with distant metastasis in patients with esophageal cancer. The concordance index (C-index) of the nomogram prediction model for whether the patient will have distant metastasis was 0.609. Age, grade, T stage, N stage, and tumor size were independent risk factors affecting the prognosis without distant metastasis. The C-index of the nomogram prediction model for patients with distant metastases was 0.590. Age and T stage were independent risk factors affecting the prognosis of patients with distant metastases. The C-index of the nomogram prediction model was 0.543. The combination of radiotherapy, chemotherapy, and primary surgery yielded the best overall survival for both patients with distant metastases and patients with non-distant metastases.ConclusionsA comprehensive assessment of the risk of distant metastasis in patients with esophageal cancer, combined with prognosis prediction, is necessary to provide patients with a reasonable treatment plan.     

Diagnostic Utility of RNA-Seq for Evaluation of PD-L1 Expression in Clear Cell Renal Cell Carcinoma

BackgroundAlthough there are immune checkpoint inhibitors (ICIs) available for the treatment of renal cell carcinoma (RCC), the utility of PD-L1 detection by immunohistochemistry (IHC) as a predictive biomarker in clear cell RCC (ccRCC) remains controversial. Nevertheless, alternative methods for PD-L1 detection, such as RNA sequencing (RNA-Seq), may be clinically useful in ccRCC; therefore, we sought to determine the ability of RNA-Seq to accurately and sensitively detect PD-L1 expression across different ccRCC clinical samples in comparison with IHC.Patients and MethodsPatients with ccRCC (n=127) who received treatment from Washington University in St. Louis between 2018 and 2020 were identified. Tumors from these patients were analyzed using RNA-Seq and IHC.ResultsPD-L1 detection by RNA-Seq strongly correlated with IHC (P < .001), which was further validated using two independent datasets. Furthermore, RNA-Seq analysis identified an immune-enriched (higher PD-L1 positivity) and an immune-desert (lower PD-L1 positivity) microenvironment of ccRCC, which also correlated with IHC (P < .00001).ConclusionThe results demonstrate the ability of RNA-Seq to detect PD-L1 in various ccRCC clinical samples compared to IHC. Ultimately, these findings suggest that PD-L1 detection by RNA-Seq can be further developed to determine the clinical utility of this methodology in ccRCC.