Effect of antibiotic treatment on immune checkpoint inhibitors efficacy in patients with advanced non-small cell lung cancer.

BACKGROUND: Gut microbiotaplays a crucial role in immune response. Recent data have shown that antibiotic (ATB) usage influences efficacy of immune check point inhibitors (ICIs) via altering microbiota of the gut. METHODS: We retrospectively analyzed patients with advanced non-small cell lung cancer (NSCLC) treated with ICIs as monotherapy or combination with chemotherapy (ChT) at the one academic center. Those receiving ATB for the first 12 weeks of the initiation of ICIs were compared with those who did not. The primary objective of this study was to assess the impact of ATB use on overall survival (OS), progression-free survival (PFS), and objective response rate (ORR) during ICIs therapy. RESULTS: 90 patients were included in our analysis. Of these 90 patients, 27 (30%) received ATB in the first 12 weeks of the treatment. In patients who received ATB in the first 12 weeks of ICIs administration, PFS was significantly shorter (4.9 vs. 24.8 months, HR 2.52, 95% CI (1.52-4.18), p < 0.001). OS was also significantly shorter (5.4 vs. 37.8 months, HR 2.55, 95% CI (1.48-4.40), p = 0.001). We also examined the impact of ATB on ORR. Exposure to ATB for the first weeks consistently worsened the response rate; the ORR was 25.9% in the ATB group and 55.6% in the no ATB group (p = 0.01). CONCLUSION: Our findings demonstrated that the use of antibiotics around ICIs initiation was associated with decreased OS, PFS, and ORR in patients with NSCLC. This suggests that microbiota diversity may be one of the factors predicting the efficacy of ICIs.

Clinical Features and Prognostic Factors of Metastatic Non-Clear Cell Renal Cell Carcinoma: A Multicenter Study from the Turkish Oncology Group Kidney Cancer Consortium.

INTRODUCTION: We aimed to evaluate clinical features, prognostic factors, and treatment preferences in patients with non-clear cell renal cell carcinoma (nccRCC). METHODS: Patients with metastatic nccRCC were selected from the Turkish Oncology Group Kidney Cancer Consortium (TKCC) database. Clinical features, prognostic factors, and overall survival (OS) outcomes were investigated. RESULTS: A total of 118 patients diagnosed with nccRCC were included in this study. The median age at diagnosis was 62 years (interquartile range: 56-69). Papillary (57.6%) and chromophobe tumors (12.7%) are common histologic subtypes. Sarcomatoid differentiation was present in 19.5% of all patients. When the patients were categorized according to the International Metastatic RCC Database Consortium (IMDC) risk scores, 66.9% of the patients were found to be in the intermediate or poor risk group. Approximately half of the patients (55.9%) received interferon in the first line. At the median follow-up of 53.2 months (95% confidence interval [CI]: 34.7-71.8), the median OS was 19.3 months (95% CI: 14.1-24.5). In multivariate analysis, lung metastasis (hazard ratio [HR]:2.22, 95% CI: 1.23-3.99) and IMDC risk score (HR: 2.35, 95% CI: 1.01-5.44 for intermediate risk; HR: 8.86, 95% CI: 3.47-22.61 for poor risk) were found to be independent prognostic factors. CONCLUSION: In this study, survival outcomes are consistent with previous studies. The IMDC risk score and lung metastasis are the independent prognostic factors for OS. This is an area that needs research to better treat this group of patients and create new treatment options.

Relationship between pathological response and molecular subtypes in locally advanced breast cancer patients receiving neoadjuvant chemotherapy.

Majority of patients with breast cancer were diagnosed with locally advanced stages of the disease (54%). This study aimed to explain the pathological response received to neoadjuvant chemotherapy (NACT) according to the molecular classification of breast cancer in patients with locally advanced tumors. One hundred and one patients with locally advanced breast cancer treated with neoadjuvant chemotherapy were analyzed. Patients were classified into five molecular subtypes based on the profile of the estrogen receptor, progesterone receptor, HER2, and Ki-67. We determined associations between complete pathological response (no invasive tumor after neoadjuvant chemotherapy) and molecular subgroups. Most patients had luminal A tumors (n: 28, 27.7%). The overall rate of complete pathological response (pCR) was 34.7% (n:35). Tumors that presented with the highest rate of pCR were pure HER2-positive, at 60% (n:6; OR, 3.2; 95% CI, 0.8-12.2). According to logistic regression analysis, the factors affecting pCR were HER2 positivity and clinically positive axilla before NACT. Luminal A tumors had a significantly lower pCR rate. (7.1%,p: 0.001). Despite the low pCR rate, Luminal A tumor had the best survival rate in the subgroups (p < 0.001). However, there was no difference between EFS and OS according to pCR in any molecular subgroups. Pathological complete response is directly related to the subtypes of breast cancer. A high complete pathological response rate is observed in the pure HER2-positive group. However, EFS and OS were not statistically significant in patients with and without pCR.

External Validation of a Novel Risk Model in Patients With Favorable Risk Renal Cell Carcinoma Defined by International Metastatic Renal Cell Carcinoma Database Consortium (IMDC): Results From the Turkish Oncology Group Kidney Cancer Consortium (TKCC) Database.

BACKGROUND: A novel prognostic model was recommended for patients with metastatic RCC (mRCC) by the International mRCC Database Consortium (IMDC). In this study, we aimed to externally validate a novel risk model for the IMDC-favorable risk group in patients with mRCC. METHODS: The Turkish Oncology Group Kidney Cancer Consortium (TKCC) is a multicenter registry that includes 13 cancer centers in Turkey. As described by Schmidt et al., 3 parameters (ie, time from diagnosis to systemic therapy <3 vs. ≥3 years, Karnofsky Performance Status [KPS] 80 vs. >80, and the presence of brain, liver, or bone metastasis) were used to divide the IMDC favorable risk group into 2 new categories: very favorable and favorable risk groups. The primary endpoint was overall survival (OS). Time to treatment failure (TTF) and objective response rate (ORR) in the very favorable and favorable risk groups were the secondary endpoints. RESULTS: A total of 545 patients with mRCC from all IMDC risk groups and 112 patients from the favorable risk group were included in this study. According to the novel classification model, 44 (39.3%) and 68 (60.7%) patients with former favorable risk were categorized into very favorable and favorable risk groups, respectively. The median OS (55.8 months vs. 34.2 months, P = .025) and TTF (25.5 months vs. 15.5 months, P = .010) were longer in the very favorable risk group than in the favorable risk group. The concordance index of the new IMDC model in all patients was 0.65 for OS. Despite the higher ORR in the very favorable risk group than in the favorable risk group, the difference between the groups was not statistically significant (52.4% vs. 44.7, P = .573). CONCLUSIONS: This was the first study to externally validate the novel IMDC risk model presented in the American Society of Clinical Oncology Genitourinary Cancers Symposium 2021.

The relationship between pan-immune-inflammation value and survival outcomes in patients with metastatic renal cell carcinoma treated with nivolumab in the second line and beyond: a Turkish oncology group kidney cancer consortium (TKCC) study.

BACKGROUND: Pan-immune-inflammation value (PIV) is an easily accessible immune marker based on peripheral blood to estimate prognosis in patients with cancer. This study evaluates the prognostic value of PIV in patients with metastatic renal cell carcinoma (mRCC) treated with nivolumab. METHODS: In this retrospective cohort study, patients with mRCC treated with nivolumab in the second line and beyond were selected from the Turkish Oncology Group Kidney Cancer Consortium (TKCC) database. PIV was calculated using the following formula: neutrophil (103/mm3) x monocyte (103/mm3) x platelet (103/mm3)/lymphocyte (103/mm3). RESULTS: A total of 152 patients with mRCC were included in this study. According to cut-off value for PIV, 77 (50.7%) and 75 (49.3%) patients fell into PIV-low ([Formula: see text] 372) and PIV-high (> 372) groups, respectively. In multivariate analysis, PIV-high (HR: 1.64, 95% CI 1.04-2.58, p = 0.033 for overall survival (OS); HR: 1.55, 95% CI 1.02-2.38, p = 0.042 for progression-free survival (PFS)) was independent risk factor for OS and PFS after adjusting for confounding variables, such as performance score, the International mRCC Database Consortium (IMDC) risk score, and liver metastasis. CONCLUSION: This study established that pre-treatment PIV might be a prognostic biomarker in patients with mRCC treated with nivolumab in the second line and beyond.

The demographic characteristics, prognosis, and relationship with cancer subtypes of hospitalized COVID-19 patients with malignancy: A single-center experience.

Undoubtedly, cancer patients have suffered the most from the COVID-19 pandemic process. However, cancer is a heterogeneous disease, and each patient has responded differently to COVID-19. We aimed to describe the clinical characteristics and outcomes of patients with cancer and COVID-19. We retrospectively reviewed 45 cancer patients hospitalized in the Cerrahpasa Medical Faculty COVID-19 department from March 23 to October 23, 2020. We analyzed the demographic characteristics, symptoms, laboratory findings, treatment, prognosis, and cancer subtypes of patients and mortality who were hospitalized for COVID-19. Between March 23 and October 23, 2020, 45 hospitalized cancer patients who had laboratory-confirmed COVID-19 infection were included, with a median age of 60 years (range: 23-92). Patients were divided into two groups a survivor and a non-survivor. Symptoms, demographic information, comorbidities, treatments for COVID-19, and laboratory findings of the two groups were evaluated separately. Two parameters were found, which showed a significant difference between non-survivors and survivors displaying a disadvantage for COPD and low platelet count (p = 0.044-0.038). The mortality rate of all patients was 66%. The presence of comorbidities such as COPD and low platelet count in cancer patients with COVID-19 infection may draw the attention of physicians.