Aim: To evaluate the immunogenicity and safety of the CoronaVac vaccine in patients with cancer receiving active systemic therapy. Methods: This multicenter, prospective, observational study was conducted with 47 patients receiving active systemic therapy for cancer. CoronaVac was administered as two doses (3 μg/day) on days 0 and 28. Antibody level higher than 1 IU/ml was defined as ‘immunogenicity.’ Results: The immunogenicity rate was 63.8% (30/47) in the entire patient group, 59.5% (25/42) in those receiving at least one cytotoxic drug and 100% (five of five) in those receiving monoclonal antibody or immunotherapy alone. Age was an independent predictive factor for immunogenicity (odds ratio: 0.830; p = 0.043). Conclusion: More than half of cancer patients receiving active systemic therapy developed immunogenicity.

The immune system plays a fundamental role in the response to neoadjuvant chemotherapy (NAC) of locally advanced breast cancer (LABC) patients. Patients with pathological complete response (pCR) after NAC have a higher survival rate. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) are peripheral blood indicators of inflammatory response. This investigates the correlation between NLR, PLR, LMR, and other clinicopathological features of breast cancer patients before receiving NAC and pCR. Data of LABC patients who underwent NAC between 2009 and 2018 were retrospectively reviewed. Each patient's peripheral complete blood count was recorded before starting NAC. The cut-off values for neutrophils, lymphocytes, monocytes, and platelets in the peripheral blood and NLR, PLR, and LMR were determined by receiver operating characteristic curve analyses. The records of 131 patients were analyzed and divided into two groups, pCR (+ve) and pCR (−ve), and their clinicopathological features and laboratory findings were compared. pCR was achieved in 23.6% of patients. The cut-off values of neutrophils, lymphocytes, monocytes, and platelets at the time of diagnosis and NLR, PLR, and LMR were, respectively, 4150 μL, 2000 μL, 635 μL, 271 × 103 μL, 1.95, 119, and 3.35. The pCR rate was higher in patients with low neutrophil count, low NLR, and high lymphocyte count (P = .002, <.001, and .040, respectively). As per the findings of multivariate logistic regression analysis, the independent predictive factors of pCR were clinical tumor size T1 and T2, grade 3, ER negativity, and low NLR (P = .015, .001, .020, .022, and .001, respectively). While NLR was found to be an independent predictive factor of pCR in LABC patients receiving NAC, a similar result was not observed for PLR and LMR. NLR can be a useful biomarker for predicting the response of patients receiving NAC.

Objective: The prognostic nutritional index (PNI) has been shown to be prognostic value for many types of cancer of the gastrointestinal system. However, there are limited data on its value for metastatic colorectal cancer (mCRC). This study aimed to evaluate the prognostic value of PNI in newly diagnosed mCRC patients. Methods: The data of 468 patients who had been admitted to our center upon being diagnosed with mCRC between January 2010 and December 2017 were reviewed retrospectively, whereby satisfying the inclusion criteria were included in the study. Receiver operating characteristic (ROC) analysis was used for PNI's optimum cutoff value for overall survival (OS). The Cox regression model was used in the single-variable analysis in order to test whether or not variables with prognostic properties were independent prognostic factors. Findings: A total of 308 patients were included in the study. Sixty-two percent (n = 192) of the patients were males, and the median age was 57.5 years (range: 25-83). Forty-five percent (n = 137) of the patients had KRAS mutation. Tumors localized in the colon accounted for 63% (n = 193) of the patients. The liver was the most common region of metastasis at 69%. According to the ROC curve, the optimal cutoff value for PNI was 46 (sensitivity 74%, specificity 47%, AUC 0.615, 95% confidence interval [CI]: 0.54-0.68, P = .002). One hundred and eighty-two patients (59%) fell into the PNI-High (> 46) group, while 126 patients (41%) fell into the PNI-Low (≤ 46) group. The rectum localization was higher, whereas the neutrophil-lymphocyte ratio and plateletlymphocyte ratio were lower in the PNI-High group. There was no difference in terms of other patient characteristics. The median OS was significantly longer in the PNI-High group compared to the PNI-Low group (28.4 vs 19.1 months, P < .001). The Cox regression analysis showed that a high PNI was an independent positive prognostic factor (hazard ratio: 0.61, 95% CI: 0.42-0.87, P = .007). Discussion: We found PNI to be an independent prognostic factor in mCRC. We think that PNI, which can be calculated by a simple formula, may provide clinicians important clues in order to make desicion for individual treatment.

Objectives:The purpose of this study is to investigate bone marrow metastasis in patients with Gastric cancer. Methods: We retrospectively evaluated patients with gastric cancer who applied to our clinic between 2010-2016. Results: 896 patients with gastric cancer were included in the study. Patients had metastatic bone marrow in 8 patients. When the laboratory results were evaluated; in 5 patients trombocytopenia with anemia were present, 2 patients had only tromboscytopenia, one patient had only anemia. In all patients white blood cell count was within normal range. The median survival of the 8 patients in our study was 72 days. In our chemoteraphy group (6 patients) median survival was 77 days (range, 49 to 145 days), in the non-treatment group was 7,5 days (range, 3 to 12 days). Conclusion: Gastric cancer with bone marrow metastasis is usually seen in younger patients, and is related to poorly differantiated subtypes and is a disease with worse prognosis. Median survival with paliative chemotraphy is under 3 months. Keywords: Bone marrow metastasis, gastric cancer, signet ring cell AbstractResearch Article

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Background There is no standard treatment recommended at category 1 level in international guidelines for subsequent therapy after cyclin-dependent kinase 4/6 inhibitor (CDK4/6) based therapy. We aimed to evaluate which subsequent treatment oncologists prefer in patients with disease progression under CDKi. In addition, we aimed to show the effectiveness of systemic treatments after CDKi and whether there is a survival difference between hormonal treatments (monotherapy vs. mTOR-based). Methods A total of 609 patients from 53 centers were included in the study. Progression-free-survivals (PFS) of subsequent treatments (chemotherapy (CT, n:434) or endocrine therapy (ET, n:175)) after CDKi were calculated. Patients were evaluated in three groups as those who received CDKi in first-line (group A, n:202), second-line (group B, n: 153) and ≥ 3rd-line (group C, n: 254). PFS was compared according to the use of ET and CT. In addition, ET was compared as monotherapy versus everolimus-based combination therapy. Results The median duration of CDKi in the ET arms of Group A, B, and C was 17.0, 11.0, and 8.5 months in respectively; it was 9.0, 7.0, and 5.0 months in the CT arm. Median PFS after CDKi was 9.5 (5.0–14.0) months in the ET arm of group A, and 5.3 (3.9–6.8) months in the CT arm (p = 0.073). It was 6.7 (5.8–7.7) months in the ET arm of group B, and 5.7 (4.6–6.7) months in the CT arm (p = 0.311). It was 5.3 (2.5–8.0) months in the ET arm of group C and 4.0 (3.5–4.6) months in the CT arm (p = 0.434). Patients who received ET after CDKi were compared as those who received everolimus-based combination therapy versus those who received monotherapy ET: the median PFS in group A, B, and C was 11.0 vs. 5.9 (p = 0.047), 6.7 vs. 5.0 (p = 0.164), 6.7 vs. 3.9 (p = 0.763) months. Conclusion Physicians preferred CT rather than ET in patients with early progression under CDKi. It has been shown that subsequent ET after CDKi can be as effective as CT. It was also observed that better PFS could be achieved with the subsequent everolimus-based treatments after first-line CDKi compared to monotherapy ET.

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Colorectal cancer (CRC) is the third most common cancer in the world and is the second leading cause of cancer-related deaths. Several mutations are involved in the development of CRC. The prognostic significance of the KRAS mutation has been discussed in many studies. We aimed to investigate the prognostic significance of the number of KRAS mutations in metastatic CRC (mCRC). Patients with mutations in the KRAS gene were included in the study. They were divided into 2 groups as single mutation and multiple mutations in the KRAS gene. For the study, 425 CRC patients were screened. KRAS mutation was positive in 191 patients (45%). One hundred ninety-one patients were included in the study, 171 patients (90%) had single mutations and 20 patients (10%) had multiple mutations. Median progression-free survival was 12.8 months in patients with multiple mutations, while it was 8.8 months in patients with single mutations ( P : .05). The median overall survival of patients with multiple mutations was 40.7 months, while it was 22.7 months for patients with single mutations ( P = .01) We found that the presence of multiple mutations in KRAS mutant patients was associated with better overall survival and progression-free survival than a single mutation.