Early primary tumor response in metastatic RCC patients treated with immune checkpoint inhibitors-based combinations

Background: 25-30% of renal cell carcinoma presents with metastases (mRCC) at diagnosis. The activity of immune checkpoint inhibitor (ICI)-combinations on the primary tumor (PT) is debated. Patients andMethods: mRCC patients (pts) with PT who received first-line nivolumab plus ipilimumab (N/I) or pembrolizumab plus axitinib (P/A) were included. We investigated the early primary tumor response (EPTR) at the first radiological assessment. Results: 73 pts were included. The median early reduction of the PT longest diameter was 12.4% with P/A versus 6.2% with N/I (p = 0.42). We evaluated if the type of EPTR could affect the metastases response. Among pts with PT stable disease (SD), 8.3% had metastatic disease progression (PD) with P/A and 34.8% with N/I. Early PT partial response (PR) was associated with no metastatic PD with both N/I and P/A. The 2 pts with PT PD had also metastatic PD to P/A. Of the 3 PT with PD to N/I, 1 had metastatic SD and 2 PD. In the overall population, of the 94.1% without PT progression (PR+SD), 47.5% had metastatic PR, 35.6% SD, 16.9% PD. Conclusions: ICIs-combinations achieved an early PT PR in about 10-20%, without any complete responses. Only a small percentage of PT had an early PD, mainly associated with metastatic PD. However, among those PT without an early progression, metastatic PR can be achieved in approximately 50% of cases

Epidemiology and clinical course of severe acute respiratory syndrome coronavirus 2 infection in cancer patients in the Veneto Oncology Network: The Rete Oncologica Veneta covID19 study

Introduction: Coronavirus disease 2019 (COVID-19) pandemic started in Italy with clusters identified in Northern Italy. The Veneto Oncology Network (Rete Oncologica Veneta) licenced dedicated guidelines to ensure proper care minimising the risk of infection in patients with cancer. Rete Oncologica Veneta covID19 (ROVID) is a regional registry aimed at describing epidemiology and clinical course of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients with cancer. Materials and methods: Patients with cancer diagnosis and documented SARS-CoV-2 infection are eligible. Data on cancer diagnosis, comorbidities, anticancer treatments, as well as details on SARS-CoV-2 infection (hospitalisation, treatments, fate of the infection), have been recorded. Logistic regression analysis was applied to calculate the association between clinical/laboratory variables and death from any cause. Results: One hundred seventy patients have been enrolled. The median age at time of the SARS-CoV infection was 70 years (25-92). The most common cancer type was breast cancer (n = 40). The majority of the patients had stage IV disease. Half of the patients had two or more comorbidities. The majority of the patients (78%) presented with COVID-19 symptoms. More than 77% of the patients were hospitalized and 6% were admitted to intensive care units. Overall, 104 patients have documented resolution of the infection. Fifty-seven patients (33%) have died. In 29 cases (17%), the cause of death was directly correlated to SARS-CoV-2 infection. Factors significantly correlated with the risk of death were the following: Eastern Cooperative Oncology Group performance status (PS), age, presence of two or more comorbidities, presence of dyspnoea, COVID-19 phenotype ≥ 3, hospitalisation, intensive care unit admission, neutrophil/lymphocyte ratio and thrombocytopenia. Conclusions: The mortality rate reported in this confirms the frailty of this population. These data reinforce the need to protect patients with cancer from SARS-CoV-2 infection

Renal cell carcinoma in one year: Going inside the news of 2017 - A report of the main advances in RCC cancer research

Very interesting issues regarding RCC treatment have been raised during 2017. We analysed the main news that may potentially modified clinical practice. Conflicting data came from trials testing targeted therapies in the adjuvant setting, supporting the necessity of further investigations. One of the key goals of RCC research is focused on the first-line therapy, with particular interest focus on immunotherapy combinations. Redefine the standard of care with the aim of improving patients' survival represents an imperative need. Enhancing immunotherapy antitumor activity by combining immune checkpoint inhibitors with anti-angiogenetic therapies is a noteworthy research field, with promising results. In addiction, we analysed in the metastatic setting data about the role of cytoreductive nephrectomy and the possibility of delay the start of first-line therapy after an active surveillance period. Based on recent developments, the paper outlines future prospective of RCC research

Subpopulation Treatment Effect Pattern Plot (STEPP) analysis of Ki67 assay according to histology: prognostic relevance for resected early stage 'pure' and 'mixed' lobular breast cancer

Background: The aim of this analysis was to investigate the potential impact of Ki67 assay in a series of patients affected by early stage invasive lobular carcinoma (ILC) undergone surgery. Methods: Clinical-pathological data were correlated with disease-free and overall survival (DFS/OS). The maximally selected Log-Rank statistics analysis was applied to the Ki67 continuous variable to estimate appropriate cut-offs. The Subpopulation Treatment Effect Pattern Plot (STEPP) analysis was performed to assess the interaction between 'pure' or 'mixed' histology ILC and Ki67. Results: At a median follow-up of 67 months, 10-years DFS and OS of 405 patients were 67.8 and 79.8 %, respectively. Standardized Log-Rank statistics identified 2 optimal cut-offs (6 and 21 %); 10-years DFS and OS were 75.1, 66.5, and 30.2 % (p = 0.01) and 84.3, 76.4 and 59 % (p = 0.003), for patients with a Ki67 < 6 %, between 6 and 21 %, and >21 %, respectively. Ki67 and lymph-node status were independent predictor for longer DFS and OS at the multivariate analysis, with radiotherapy (for DFS) and age (for OS). Ki67 highly replicated at the internal cross-validation analysis (DFS 85 %, OS 100 %). The STEPP analysis showed that DFS rate decreases as Ki67 increases and those patients with 'pure' ILC performed worse than 'mixed' histology. Conclusions: Despite the retrospective and exploratory nature of the study, Ki67 was able to significantly discriminate the prognosis of patients with ILC, and the effect was more pronounced for patients with 'pure' ILC

Prognostic model for advanced breast carcinoma with luminal subtype and impact of hormonal maintenance: Implications for post-progression and conditional survival

The aim of this analysis was to develop and validate a prognostic model for advanced breast cancer (ABC) with luminal subtype based on the combination of clinical, pathological and therapeutic predictors to provide a practical tool to evaluate patients' prognosis

Prognostic impact of proliferation for resected early stage \ue2\u80\u98pure\ue2\u80\u99 invasive lobular breast cancer: Cut-off analysis of Ki67 according to histology and clinical validation

INTRODUCTION: The intent of this analysis was to investigate and validate the prognostic potential of Ki67 in a multi-center series of patients affected by early stage 'pure' invasive lobular carcinoma (ILC). METHODS: Clinical-pathological data of patients affected by ILC were correlated with overall survival and disease-free survival (OS/DFS); data from a parallel invasive ductal carcinoma (IDC) patients' cohort were gathered as well. The maximally selected Log-Rank statistics analysis was applied to Ki67 continuous variable to estimate the appropriate cut-off. The Subpopulation Treatment Effect Pattern Plot (STEPP) analysis was performed as well. RESULTS: Data from overall 1097 (457/222 ILC: training/validation set; 418 IDC) patients were gathered. The identified optimal Ki67 cut-offs were 4% and 14% for DFS in ILC and IDC cohort, respectively. In ILC patients, the Ki67 cut-off was an independent OS predictor. Ten-years OS and DFS were 89.9% and 77.2% (p = 0.007) and 79.4% and 69.2% (p = 0.03) for patients with Ki67 64 4% and >4%, respectively. In IDC patients, 10-years OS was 93.8% and 71.7%, p = 0.02, DFS was 84.0% and 52.6%, p = 0.0003, for patients with Ki67 64 14% and >14%, respectively. In the validation set, the optimal Ki67 OS cut-off was 5%. The STEPP analysis showed that in the presence of low Ki67 values, IDC patients have a better DFS than ILC patients, while with the increase of values the prognosis tends to overlap. CONCLUSIONS: Despite the retrospective design of the study, the prognostic relevance of Ki67 (as well as its optimal cut-off) seems to significantly differ according to breast cancer histology

Additional file 2: Figure S2. of Subpopulation Treatment Effect Pattern Plot (STEPP) analysis of Ki67 assay according to histology: prognostic relevance for resected early stage ‘pure’ and ‘mixed’ lobular breast cancer

Disease-Free Survival (DFS) [Panel A and C] and Overall Survival (OS) [Panel B and D] according to Ki67, for patients with lymph-nodes negative [Panel A and B] and lymph-nodes positive [Panel C and D] estrogen receptor positive/HER2-negative invasive lobular carcinoma (ILC); p-value: log-rank analysis. (TIF 386 kb

Organisational challenges, volumes of oncological activity\ua0and patients' perception during the severe acute respiratory syndrome coronavirus 2 epidemic

On February 23rd, the 1st case of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was diagnosed at the University Hospital Trust of Verona, Italy. On March 13th, the Oncology Section was converted into a 22-inpatient bed coronavirus disease (COVID) Unit, and we reshaped our organisation to face the SARS-CoV-2 epidemic, while maintaining oncological activities