Six-Gene Signature for Differential Diagnosis and Therapeutic Decisions in Non-Small-Cell Lung Cancer-A Validation Study.

Non-small-cell lung cancer (NSCLC) poses a challenge due to its heterogeneity, necessitating precise histopathological subtyping and prognostication for optimal treatment decision-making. Molecular markers emerge as a potential solution, overcoming the limitations of conventional methods and supporting the diagnostic-therapeutic interventions. In this study, we validated the expression of six genes (MIR205HG, KRT5, KRT6A, KRT6C, SERPINB5, and DSG3), previously identified within a 53-gene signature developed by our team, utilizing gene expression microarray technology. Real-time PCR on 140 thoroughly characterized early-stage NSCLC samples revealed substantial upregulation of all six genes in squamous cell carcinoma (SCC) compared to adenocarcinoma (ADC), regardless of clinical factors. The decision boundaries of the logistic regression model demonstrated effective separation of the relative expression levels between SCC and ADC for most genes, excluding KRT6C. Logistic regression and gradient boosting decision tree classifiers, incorporating all six validated genes, exhibited notable performance (AUC: 0.8930 and 0.8909, respectively) in distinguishing NSCLC subtypes. Nevertheless, our investigation revealed that the gene expression profiles failed to yield predictive value regarding the progression of early-stage NSCLC. Our molecular diagnostic models manifest the potential for an exhaustive molecular characterization of NSCLC, subsequently informing personalized treatment decisions and elevating the standards of clinical management and prognosis for patients.

The role of tumor-associated macrophages in hepatocellular carcinoma-from bench to bedside: A review.

Hepatocellular carcinoma is one of the most common cancers worldwide. Despite progress in treatment, recurrence after radical treatment is common, and the prognosis remains poor for patients with advanced disease. Therefore, there is a need to identify prognostic and predictive factors for the response to therapy or more intensive surveillance or treatment. Because the tumor microenvironment plays a crucial role in the development of cancer and metastasis, it is a crucial need to understand processes that are involved in carcinogenesis. Within the microenvironment, several immune cells with different roles are present. One of the most important of these is tumor-associated macrophages. These cells may exert either antitumor or protumor roles. Several studies have suggested that tumor-associated macrophages can be used as prognostic markers. Furthermore, they may be involved in resistance to immunotherapy or systemic treatment. As they play an important role in cancer development, tumor-associated macrophages are also a good target for therapy. In this review, we briefly summarize recent progress on knowledge regarding the basic molecular characteristics, impact on prognosis and potential clinical implications of tumor-associated macrophages in hepatocellular carcinoma.

Divarasib plus cetuximab in KRAS G12C-positive colorectal cancer: a phase 1b trial.

KRAS G12C mutation is prevalent in ~4% of colorectal cancer (CRC) and is associated with poor prognosis. Divarasib, a KRAS G12C inhibitor, has shown modest activity as a single agent in KRAS G12C-positive CRC at 400 mg. Epidermal growth factor receptor has been recognized as a major upstream activator of RAS-MAPK signaling, a proposed key mechanism of resistance to KRAS G12C inhibition in CRC. Here, we report on divarasib plus cetuximab (epidermal growth factor receptor inhibitor) in patients with KRAS G12C-positive CRC (n = 29) from arm C of an ongoing phase 1b trial. The primary objective was to evaluate safety. Secondary objectives included preliminary antitumor activity. The safety profile of this combination was consistent with those of single-agent divarasib and cetuximab. Treatment-related adverse events led to divarasib dose reductions in four patients (13.8%); there were no treatment withdrawals. The objective response rate was 62.5% (95% confidence interval: 40.6%, 81.2%) in KRAS G12C inhibitor-naive patients (n = 24). The median duration of response was 6.9 months. The median progression-free survival was 8.1 months (95% confidence interval: 5.5, 12.3). As an exploratory objective, we observed a decline in KRAS G12C variant allele frequency associated with response and identified acquired genomic alterations at disease progression that may be associated with resistance. The manageable safety profile and encouraging antitumor activity of divarasib plus cetuximab support the further investigation of this combination in KRAS G12C-positive CRC.ClinicalTrials.gov identifier: NCT04449874.

CD4, CD20 and PD-L1 as Markers of Recurrence in Non-Muscle-Invasive Bladder Cancer.

INTRODUCTION: A tumor microenvironment plays an important role in bladder cancer development and in treatment response. PURPOSE: The aim of the study was to assess how the components of the microenvironment affect tumor recurrence and to find the potential biomarkers for immunotherapy in NMIBC. METHODS: The study group consisted of 55 patients with primary NMIBC. Immunohistochemistry was performed on sections of primary papillary urothelial carcinoma of the bladder. Cox proportional hazard multiple regression analysis was performed to characterize tumors with the highest probability of an unfavorable outcome. RESULTS: Multivariate analysis confirmed that the CD4 (p = 0.001), CD20 (p = 0.008) and PD-L1 expressed on tumor cells (p = 0.01) were independently associated with the risk of recurrence of bladder cancer. Patients with weak CD4+ cell infiltration (<4.6%) and severe CD20+ infiltration (>10%) belong to the group with a lower risk of recurrence. The cancer in this group also frequently recurs after 12 months (p = 0.0005). CONCLUSIONS: The evaluation of CD4+ and CD20+ cells in the tumor microenvironment, in addition to PD-L1 on tumor cells, facilitates the determination of a group of patients with a low risk of recurrence.

Defining Tumor Microenvironment as a Possible Target for Effective GEP-NENs Immunotherapy-A Systematic Review.

Neuroendocrine neoplasms (NENs) are a heterogenous and recurrent group of malignancies originating from neuroendocrine secretory cells diffused on all parts of the human body. Gastro-entero-pancreatic neuroendocrine tumors (GEP-NETs) account for most NENs. Considering the abundance of possible origins, locations, and tumor specifications, there is still no consensus about optimal treatment options for these neoplasms. In light of the escalating immunotherapeutic approaches, it is crucial to define indications for such therapy in GEP-NETs. Bearing in mind the significance of pathophysiological mechanisms and tumor microenvironment (TME) impact on carcinogenesis, defining TME structure and correlation with the immune system in GEP-NETs appears essential. This paper aimed to assess the characterization of the tumor immune microenvironment for a better understanding of the possible therapeutic options in GEP-NETS. The authors performed a systematic review, extracting papers from the PubMed, Web of Science, and Scopus databases according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Among 3800 articles identified through database searching, 292 were assessed for eligibility. Ultimately, 28 articles were included in the qualitative synthesis. This paper sums up the research on the immune cell infiltrates, immune checkpoint expression, cytokine profile, neoangiogenesis, and microbiome in the TME of GEP-NETs.

Serum Insights: Leveraging the Power of miRNA Profiling as an Early Diagnostic Tool for Non-Small Cell Lung Cancer.

Non-small cell lung cancer is the predominant form of lung cancer and is associated with a poor prognosis. MiRNAs implicated in cancer initiation and progression can be easily detected in liquid biopsy samples and have the potential to serve as non-invasive biomarkers. In this study, we employed next-generation sequencing to globally profile miRNAs in serum samples from 71 early-stage NSCLC patients and 47 non-cancerous pulmonary condition patients. Preliminary analysis of differentially expressed miRNAs revealed 28 upregulated miRNAs in NSCLC compared to the control group. Functional enrichment analyses unveiled their involvement in NSCLC signaling pathways. Subsequently, we developed a gradient-boosting decision tree classifier based on 2588 miRNAs, which demonstrated high accuracy (0.837), sensitivity (0.806), and specificity (0.859) in effectively distinguishing NSCLC from non-cancerous individuals. Shapley Additive exPlanations analysis improved the model metrics by identifying the top 15 miRNAs with the strongest discriminatory value, yielding an AUC of 0.96 ± 0.04, accuracy of 0.896, sensitivity of 0.884, and specificity of 0.903. Our study establishes the potential utility of a non-invasive serum miRNA signature as a supportive tool for early detection of NSCLC while also shedding light on dysregulated miRNAs in NSCLC biology. For enhanced credibility and understanding, further validation in an independent cohort of patients is warranted.

miRNA-Seq Tissue Diagnostic Signature: A Novel Model for NSCLC Subtyping.

Non-small cell lung cancer (NSCLC) encompasses distinct histopathological subtypes, namely adenocarcinoma (AC) and squamous cell lung carcinoma (SCC), which require precise differentiation for effective treatment strategies. In this study, we present a novel molecular diagnostic model that integrates tissue-specific expression profiles of microRNAs (miRNAs) obtained through next-generation sequencing (NGS) to discriminate between AC and SCC subtypes of NSCLC. This approach offers a more comprehensive and precise molecular characterization compared to conventional methods such as histopathology or immunohistochemistry. Firstly, we identified 31 miRNAs with significant differential expression between AC and SCC cases. Subsequently, we constructed a 17-miRNA signature through rigorous multistep analyses, including LASSO/elastic net regression. The signature includes both upregulated miRNAs (hsa-miR-326, hsa-miR-450a-5p, hsa-miR-1287-5p, hsa-miR-556-5p, hsa-miR-542-3p, hsa-miR-30b-5p, hsa-miR-4728-3p, hsa-miR-450a-1-3p, hsa-miR-375, hsa-miR-147b, hsa-miR-7705, and hsa-miR-653-3p) and downregulated miRNAs (hsa-miR-944, hsa-miR-205-5p, hsa-miR-205-3p, hsa-miR-149-5p, and hsa-miR-6510-3p). To assess the discriminative capability of the 17-miRNA signature, we performed receiver operating characteristic (ROC) curve analysis, which demonstrated an impressive area under the curve (AUC) value of 0.994. Our findings highlight the exceptional diagnostic performance of the miRNA signature as a stratifying biomarker for distinguishing between AC and SCC subtypes in lung cancer. The developed molecular diagnostic model holds promise for providing a more accurate and comprehensive molecular characterization of NSCLC, thereby guiding personalized treatment decisions and improving clinical management and prognosis for patients.

Tumour microenvironment as a predictive factor for immunotherapy in non-muscle-invasive bladder cancer.

Bladder cancer (BC) can be divided into two subgroups depending on invasion of the muscular layer: non-muscle-invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC). Its aggressiveness is associated, inter alia, with genetic aberrations like losses of 1p, 6q, 9p, 9q and 13q; gain of 5p; or alterations in the p53 and p16 pathways. Moreover, there are reported metabolic disturbances connected with poor diagnosis-for example, enhanced aerobic glycolysis, gluconeogenesis or haem catabolism.Currently, the primary way of treatment method is transurethral resection of the bladder tumour (TURBT) with adjuvant Bacillus Calmette-Guérin (BCG) therapy for NMIBC or radical cystectomy for MIBC combined with chemotherapy or immunotherapy. However, intravesical BCG immunotherapy and immune checkpoint inhibitors are not efficient in every case, so appropriate biomarkers are needed in order to select the proper treatment options. It seems that the success of immunotherapy depends mainly on the tumour microenvironment (TME), which reflects the molecular disturbances in the tumour. TME consists of specific conditions like hypoxia or local acidosis and different populations of immune cells including tumour-infiltrating lymphocytes, natural killer cells, neutrophils and B lymphocytes, which are responsible for shaping the response against tumour neoantigens and crucial pathways like the PD-L1/PD-1 axis.In this review, we summarise holistically the impact of the immune system, genetic alterations and metabolic changes that are key factors in immunotherapy success. These findings should enable better understanding of the TME complexity in case of NMIBC and causes of failures of current therapies.

The immune landscape of hepatocellular carcinoma-where we are?

Hepatocellular carcinoma (HCC) is one of the most common types of cancer diagnosed worldwide. After a decade of stagnation, several novel compounds have recently been shown to be effective in the treatment of HCC. Since immunotherapy is associated with important clinical benefits in some, but not all patients, it is essential to identify reliable predictive biomarkers. As the complex interplay between hepatocytes and immune cells is highly dependent on the tumor microenvironment, the tumor microenviroment has been suggested to be an important factor associated with the response to therapy and is currently being extensively investigated. Within this network, several important factors should be highlighted. Most of the cells are hepatocytes, but fibroblasts, endothelial cells, and immune cells are also present. Tumor-infiltrating leukocytes include several populations of cells and each of them plays a role in forming the tumor environment. Some of these cells may have antitumor effects, whereas others may be associated with the progression of the disease. The most important subsets include tumor-associated macrophages, tumor-associated neutrophils, and lymphocytes. These groups are described in the present review. The immune response is controlled by immune checkpoint molecules. One of the most important molecules involved in this checkpoint process seems to be the programmed death-1 (PD-1) receptor, which typically is induced on activated T cells, natural killer (NK) cells, B cells, and antigen-presenting cells. On the other hand, programmed death ligand 1 (PD-L1) is expressed by tumor cells, hepatocytes and hepatic stellate cells, and Kupffer cells or liver sinusoidal cells. Complex interactions between ligands and receptors are dependent on the signals from the microenvironment leading to either cancer development or apoptosis. Evidence from several studies indicates that patients with higher expression levels of PD-L1 on tumor cells or immune cells are more likely to achieve beneficial results from treatment with checkpoint blockers. This review focuses on the basic information regarding the microenvironment and its components, particularly on immune system involvement.

Polish Consensus on Gastric Cancer Diagnosis and Treatment - Update 2022.

This document - "Polish Consensus on Gastric Cancer Diagnosis and Treatment - Update 2022" - represents an expert consensus following a year's worth of dedicated effort by a team of specialists throughout 2021, put forward in a conference in December 2021 in Krakow, and finalized below for publication in 2022. The effective date of this document is June 14th 2022. The work that went into updating this consensus was made under auspices of the Polish Society of Surgical Oncology and the Association of Polish Surgeons.

Malignancy Prevalence in the Dialyzed Population and in Waitlisted Potential Kidney Transplant Recipients.

Malignancy is the second cause of death in the dialyzed population. However, data on the prevalence of cancer are very scarce. Kidney transplantation improves quality of life, prolongs survival, and is cost-effective but bears some serious complications including malignancy. Therefore, active screening for cancer is of utmost importance. The aim of this study was to assess the prevalence of malignancy in dialyzed patients in relation to status on the on the waiting list and type of dialysis. This cross-sectional study was conducted in 108 hemodialyzed patients (mean age 65 years, 47 women) and 47 peritoneally dialyzed patients (mean age 51 years, 25 women). Among the population studied, 20 patients were actively waitlisted, including 14 peritoneal dialysis patients. Patients who had been active on the cadaver kidney waiting list and not listed did not differ in regard to sex, dialysis vintage, and causes of end-stage renal failure, but were significantly younger. Among hemodialysis patients, 24 of them had a history of malignancy and 10 in the peritoneal dialysis population. The most common were renal cell carcinoma in 6, breast cancer in 4, lung cancer in 3, prostate cancer in 3, hepatocellular cancer in 2, colorectal cancer in 2, esophageal cancer in 2, and others 14. In waitlisted patients, only 2 hemodialysis patients had a history of malignancy. Waitlisted patients represent a very selected and healthier dialyzed population. Malignancy has become a more common comorbidity in dialyzed patients, which may have important clinical implication regarding therapy. Guidelines for cancer screening in potential transplant recipients should be developed, as nowadays there are scarcity of data in this matter.

Oncometabolites-A Link between Cancer Cells and Tumor Microenvironment.

The tumor microenvironment is the space between healthy tissues and cancer cells, created by the extracellular matrix, blood vessels, infiltrating cells such as immune cells, and cancer-associated fibroblasts. These components constantly interact and influence each other, enabling cancer cells to survive and develop in the host organism. Accumulated intermediate metabolites favoring dysregulation and compensatory responses in the cell, called oncometabolites, provide a method of communication between cells and might also play a role in cancer growth. Here, we describe the changes in metabolic pathways that lead to accumulation of intermediate metabolites: lactate, glutamate, fumarate, and succinate in the tumor and their impact on the tumor microenvironment. These oncometabolites are not only waste products, but also link all types of cells involved in tumor survival and progression. Oncometabolites play a particularly important role in neoangiogenesis and in the infiltration of immune cells in cancer. Oncometabolites are also associated with a disrupted DNA damage response and make the tumor microenvironment more favorable for cell migration. The knowledge summarized in this article will allow for a better understanding of associations between therapeutic targets and oncometabolites, as well as the direct effects of these particles on the formation of the tumor microenvironment. In the future, targeting oncometabolites could improve treatment standards or represent a novel method for fighting cancer.

Chemotherapy During Active SARS-CoV2 Infection: A Case Report and Review of the Literature.

COVID-19 has become the biggest public health problem and one of the most important causes of death in many countries in the world. SARS-CoV-2 infection is most likely to be fatal in elderly patients with concomitant diseases. In this article we present two cases of asymptomatic SARS-CoV-2-positive patients suffering from cancer who were treated with chemotherapy. The first case, a patient with primary mediastinal B-cell lymphoma, shows that confirmed SARS-CoV-2 infection does not have to be a contraindication to chemotherapy. We describe the course of disease and discuss doubts related to the choice of chemotherapy regimen. The second patient was a male with metastatic sigmoid cancer treated with FOLFOX4 as first-line palliative chemotherapy. This case draws attention to asymptomatic SARS-CoV-2 carriers who underwent chemotherapy. Our patient was safely treated with chemotherapy without long break caused by viral infection. It should be remembered that there are asymptomatic carriers among cancer patients and that they may spread infection to others. On the other hand, delaying chemotherapy can cause rapid disease progression and reduce overall survival of our patients.

Milestones in the treatment of hepatocellular carcinoma: A systematic review.

According to data provided by WHO (World Health Organization), hepatocellular carcinoma (HCC) is the fourth most common cause of cancer-related deaths worldwide. Since the approval of sorafenib in 2008, several trials have assessed other particles for the treatment of HCC, but few have proven to be effective. ESMO (European Society for Medical Oncology) guidelines have been changed several times recently. This systematic review aims to describe both successful and failed trials of systemic treatments for HCC. Methods: We examined randomized, phase III trials of first- and second-line treatments in adults, identifying 23 fully-published trials and 2 reported as abstracts. The latest advances in immunotherapy were also briefly discussed. Conclusions: The landscape of HCC treatment has changed significantly in recent years. Several small molecule inhibitors currently form the core of HCC treatment; however, immunotherapy is now emerging as a promising treatment option.

Impact of COVID-19 on anxiety levels among patients with cancer actively treated with systemic therapy.

BACKGROUND: Life-threatening diseases have a negative impact on emotional well-being and psychosocial functioning. This study aimed to assess the relationship between the level of anxiety caused by a neoplasm and the threat of coronavirus infection among patients with cancer actively treated with systemic therapy during the COVID-19 pandemic. Additionally, we searched for clinical factors associated with a higher level of anxiety. METHODS: In this multicentre, prospective, non-interventional study conducted in Poland, we enrolled 306 actively treated patients with cancer and collected their clinical data, including age, gender, cancer type and treatment intention. The fear/anxiety of SARS-CoV-2 were rated in Fear of COVID-19 Scale (SRA-FCV-19S) and Numerical Anxiety Scale (SRA-NAS). The fear and anxiety associated with cancer (CRA) were rated with the NAS (CRA-NAS). RESULTS: The mean level of SRA-FCV-19S was 18.5±7.44, which was correlated with the SRA-NAS (r=0.741, p<0.001). SRA-FCV-19S was significantly higher in women versus men (20.18±7.56 vs 16.54±6.83; p<0.001) and was tumour type-dependent (p=0.037), with the highest anxiety observed in patients with breast cancer (17.63±8.75). In the multivariate analysis, only the female gender was significantly associated with higher SRA. CRA-NAS was higher in women versus men (7.07±2.99 vs 5.47±3.01; p<0.001), in patients treated with curative versus palliative intention (7.14±3.06 vs 5.99±3.06; p=0.01) and in individuals aged ≤65 years versus >65 years (6.73±2.96 vs 5.66±3.24; p=0.007). CONCLUSIONS: For an actively treated patient with cancer, cancer remains the main life-threatening disease during the COVID-19 pandemic. The need for more attentive psychological care should be provided especially to female patients, patients with breast cancer, those under 65 years of age and treated with curative intention, as these factors are associated with a higher level of anxiety.

Selected protein expression in a new prognostic model for patients with non-muscle-invasive bladder cancer.

INTRODUCTION: After transurethral resection of a bladder tumor, patients frequently have a recurrence of the disease, thereby requiring adjuvant therapy. PURPOSE: The study aimed to determine the prognostic value of expression levels of p53, Ki-67, and survivin, and to develop a new prognostic model for patients with non-muscle-invasive bladder cancer (NMIBC) after transurethral resection of a bladder tumor. METHODS: The study group consisted of 101 patients with primary NMIBC. Univariate followed by multivariate Cox proportional hazard regression analysis was performed to obtain a model including the smallest possible number of descriptive variables with the highest statistical significance and impact on risk. RESULTS: The RECINT model (RECurrence In Not Treated) including factors independently associated with cancer recurrence (tumor size [HR 1.148; p = 0.034], intensity of the color reaction for p53 [HR 1.716; p = 0.008], Ki-67 [HR 3.001; p = 0.022], and survivin [HR 1.461; p = 0.021]) adequately stratified recurrence free-survival (R2 = 0.341, p < 0.001) in patients with primary NMIBC. Patients with the lowest RECINT score (0-6) had the lowest probability of cancer recurrence (1- and 5-year recurrence of 16%) in comparison with other groups (p < 0.001). CONCLUSIONS: The RECINT model may be useful for stratifying the risk of recurrence in patients with non-muscle-invasive bladder cancer and may allow for identification of those who may benefit the most from adjuvant BCG immunotherapy.

Intensity of Nuclear Staining for Ki-67, p53 and Survivin as a New Prognostic Factor in Non-muscle Invasive Bladder Cancer.

The aim of the study was to determine the prognostic value of expression levels of biomarkers selected on the basis of the literature: p53, Ki-67, survivin, ß-catenin, E-cadherin and N-cadherin in patients with non-muscle invasive bladder cancer. Immunohistochemistry was performed on sections of primary papillary carcinoma of the bladder removed during transurethral resection of the tumor in 134 patients. The expression of ß-catenin and E-cadherin was found in all analyzed cases and N-cadherin expression was demonstrated in 3.73% of the tissues examined. The expression of the p53 protein was confirmed in 96.27% of tissues examined. The expression of the Ki-67 protein was demonstrated in all analyzed cases. Survivin expression was found in 95.52% of the study group. Multivariate analysis confirmed the relationship between the recurrence-free survival (RFS) and the intensity of the nuclear reaction for p53 (HR 1417, 95% CI 1.001-2.007, p = 0.049) and survivin (HR 1.451; 95% CI 1.078-1.955; p = 0.014), the expression level of the Ki-67 protein expressed by the TS index (HR 1.146, 95% CI 1.116-1.823, p = 0.005) and the use of adjuvant BCG therapy (HR 0.218, 95% CI 0.097-0.489, p = 0.0002). The evaluation of Ki-67 expression and the intensity of nuclear staining for survivin and p53 may provide additional information that will allow more accurate stratification of the risk of NMIBC recurrence after TURBT.

The Role of the Gut Microbiome in Colorectal Cancer: Where Are We? Where Are We Going?

Microbiome (microbiota) is a community of all microorganisms inhabiting a specific site of the body, including pathogens, which distinguishes it from the physiological microflora. Intestinal dysbiosis plays a key role in the development of colorectal cancer. In the process of carcinogenesis, inflammation, immune response, and toxic metabolites play a significant role. Specific species of bacteria might affect the risk of colorectal cancer and growth of tumor already present. Assessment of changes in the intestinal microbiome during the development and progression of colorectal cancer might create a simple diagnostic tool, a useful biomarker, or might influence treatment strategies in colorectal cancer patients. Analysis of the gut microbiome provides the potential to develop noninvasive diagnostic tests that would be useful as new protective markers of colorectal cancer, prognostic markers in already present colorectal cancer, and predictive markers of response to treatment, especially immunotherapy.

External validation of the systemic immune-inflammation index as a prognostic factor in metastatic renal cell carcinoma and its implementation within the international metastatic renal cell carcinoma database consortium model.

BACKGROUND: We conducted a study to validate the influence of the systemic immune-inflammation index (SII) on overall survival (OS) in patients with metastatic renal cell carcinoma (mRCC) and to verify whether the implementation of the SII in place of neutrophil and platelet counts within the International Metastatic Renal Cell Carcinoma Consortium (IMDC) model might increase its prognostic accuracy. PATIENTS AND METHODS: We retrospectively analyzed consecutive patients with mRCC, who were treated with first-line tyrosine kinase inhibitors from 2008 to 2016 in two major oncology centres in Poland. We stratified patients into low SII (< 730) and high SII (≥ 730) groups according to a recent literature report. We used multivariable Cox proportional hazards regressions (CPHRs) to assess the impact of the SII on OS and concordance, global 'goodness-of-fit', calibration and reclassification measures to quantify a potential prognostic benefit from the modification of the IMDC model. RESULTS: Overall, 502 patients (294 with low and 208 with high SII) were included. Median OS was 36.7 months [95% confidence interval (CI) 30.4-41.5 months] and 17.0 months (95% CI 12.5-19.6 months) in the low and high SII groups, respectively. The SII status was significant in CPHRs with the hazard ratio ranging from 1.38 to 1.68. All prognostic accuracy measures favored the SII-modified-IMDC model over the original IMDC model. CONCLUSIONS: Using an external dataset, we showed that high SII was an independent factor for poor OS. The addition of the SII to the IMDC model in place of neutrophil and platelet counts increased the model's prognostic performance.

Biomarkers defining probability of receiving second-line targeted therapy in metastatic renal cell carcinoma.

In order to facilitate long-term treatment decisions, we aimed to define biomarkers defining the probability of receiving second-line (SL) targeted therapy (TT) in patients with metastatic renal cell carcinoma (mRCC) based on their characteristics present at first-line TT initiation. We analysed 152 consecutive mRCC patients treated and used multivariable binominal logistic regression to identify factors contributing to the probability of receiving SL TT. Final model was assessed with bias-corrected indices (Nagelkerke's R2 and area under receiver operating characteristic curve [AUC]) and two bootstrap procedures were used for internal validation. Factors associated with the probability of SL TT eligibility were the presence of brain metastases (odds ratio [OR] 0.084, 95% confidence interval [CI] 0.010-0.707), number of metastatic sites (OR 0.740, 95% CI 0.575-0.953 per each site), platelet count (OR 0.971, 95% CI 0.947-0.997, per 104/ml), lactate dehydrogenase level (OR 0.952, 95% CI 0.910-0.997 per 10 units/l), and albumin concentration (OR 1.924, 95% CI 1.057-3.503 per 1 g/dl). We developed on-line calculator that enables practicing clinicians to estimate SL treatment probability ( http://www.r-calc.com ).