Adjuvant Concurrent Chemoradiotherapy (CRT) plus Docetaxel-Cisplatin-Fluorouracil (DCF) versus CRT plus Fluorouracil-Folinic Acid (FUFA) in Stage III Gastric Cancer.

INTRODUCTION: Adjuvant chemoradiotherapy (CRT) is the optimal management strategy in resectable gastric cancer. There is a debate about the efficacy of more aggressive CRT plus chemotherapy regimens in adjuvant setting. This study aimed to compare the efficacy of adjuvant CRT plus docetaxel-cisplatin-fluorouracil (DCF) versus CRT plus fluorouracil-folinic acid (FUFA) in stage III gastric cancer. METHODS: Patients with a diagnosis of stage III gastric cancer treated with adjuvant therapy after curative resection were analyzed. Patients' disease characteristics and impacts of the regimens on median disease-free survival (DFS) and median overall survival (OS) were analyzed retrospectively. RESULTS: One hundred sixty-one patients (102 in FUFA arm and 59 in DCF arm) with a median age of 56.0 (29-79) were evaluated. In the DCF arm, there were more renal toxicities (31.6% vs 6.4% P < 0.001), emergency department admissions (64.9% vs 23.7%, P < 0.001), and dose reductions/treatment modifications in the DCF arm (51.6% vs 37.2, P < 0.001). The median follow-up was 23 months (1-124) in the FUFA arm and 26.0 months (1-77) in the DCF arm. The median DFS was 25.0 months (%95 CI, 12.7-37.2) in the DCF arm and 17.0 months (%95 CI, 2.6-31.3) in the FUFA arm, P = 0.66. The median OS was 28.0 months (%95 CI, 17.0-38.9) in the DCF arm and 25.0 months (%95 CI, 11.9-36.0) in the FUFA arm, P = 0.70. CONCLUSION: In conclusion, when compared with FUFA regimen, more aggressive therapy with DCF was more toxic and did not improve OS in adjuvant setting of stage III gastric cancer.

PROPSEA, safety evaluation of palbociclib and ribociclib in older patients with breast cancer: A prospective real-world TOG study.

INTRODUCTION: In this study, the toxicities and management of palbociclib and ribociclib in older patients (≥65 years) with metastatic breast cancer patients were investigated. MATERIALS AND METHODS: Among older patients receiving palbociclib and ribociclib, Geriatric 8 (G8) and Groningen Frailty Index were used to evaluate frailty status. Dose modifications, drug withdrawal and other serious adverse events (SAEs) were recorded and analyzed according to baseline patient characteristics. RESULTS: A total of 160 patients from 28 centers in Turkey were included (palbociclib = 76, ribociclib = 84). Forty-three patients were ≥ 75 years of age. The most common cause of first dose modification was neutropenia for both drugs (97% palbociclib, 69% ribociclib). Liver function tests elevation (10%) and renal function impairment (6%) were also causes for ribociclib dose modification. Drug withdrawal rate was 3.9% for palbociclib and 6% for ribociclib. SAEs were seen in 11.8% of those taking palbociclib and 15.5% of those on riboclib. An ECOG performance status of ≥2 and being older than 75 years were associated with dose reductions. Severe neutropenia was more common in patients with non-bone-only metastatic disease, those receiving treatment third-line therapy or higher, coexistance of non-neutropenic hematological side effects (for ribociclib). Neutropenia was less common among patients with obesity. DISCUSSION: Our results show that it can be reasonable to start palbociclib and ribociclib at reduced dose in patients aged ≥75 years and/or with an ECOG performance status ≥2.

Vaccination in oncology practice and predictors.

PURPOSE: Despite, vaccination is a highly effective and widely recommended for prevention of certain infections, vaccination coverage is very low. The purposes of this study were to evaluate the attitudes of medical oncologists towards vaccination and to identify predictors of intention to recommend vaccination in patients with cancer. METHODS: A structured questionnaire is formed to evaluate the daily practice of vaccination. Turkish medical oncologists were invited to this study via email, SMS, or phone call. Questionnaire was filled out and the data were stored in an online survey platform. RESULTS: Two hundred seventy-three medical oncologists participated in the survey. Influenza, Pneumococcus, and hepatitis B were the most commonly recommended vaccines (87.1, 72.8, 67.0%, respectively). Patients with lung cancer, lymphoma and breast cancer were the main malignancies that medical oncologists suggest vaccination (68.1, 68.1, 24.6%, respectively). The most common times for vaccination were during remission/follow-up period (68.4%) or before beginning chemotherapy (64.1%). Only 23.4% of the physicians thought that their recommendation for vaccination was efficient and adequate. Lack of time and lack of knowledge or experience about vaccination are the most common limitations. There is a positive correlation between experience in the field and evaluating patients for vaccination (r = 0.390, p < 0.001); on the other hand, there is negative correlation between number of patients seen per day and evaluating patients for vaccination (r = -0.080, p = 0.18). Experience with autologous or allogeneic bone marrow transplant patients is related with more tendency to evaluate patients for vaccination (p < 0.001). CONCLUSIONS: Degree of experience in oncology especially in bone marrow transplant units and total number of patients seen per day are important predictors of vaccination practice in oncology. The frequency of recommendation increases with degree of experience, knowledge, and visit time per patient.

Severe drug interactions and potentially inappropriate medication usage in elderly cancer patients.

PURPOSE: Due to more comorbidities, polypharmacy is common in elderly patients and drug interactions are inevitable. It is also challenging to treat an elderly patient with a diagnosis of cancer. Prevalence and clinical impacts of drug interactions and using potentially inappropriate medications (PIMs) have been studied in geriatric patients. However, these are not well defined in oncology practice. The purpose of this study is to define the prevalence of PIMs and severe drug interactions (SDIs) in elderly cancer patients and investigate the factors associated with them. METHODS: Patients more than 65 years of age in both inpatient and outpatient clinics were evaluated. Patient, disease characteristics, and medications used were collected by self reports and medical records. Drug interactions were checked with Lexicomp® and PIM was defined with 2012 update of Beers criteria. Severe drug interactions are defined with category D or X DIs. Logistic regression was used to compute odds ratios (ORs) and 95 % confidence intervals (CIs) for the association between SDIs, PIMs, and clinical parameters. RESULTS: Four hundered and forty-five elderly patients (286 outpatient, 159 inpatient), with a median age of 70 (65-89) were evaluated. SDIs were present in 156 (35.1 %) of patients, 81 (28.3 %), and 75 (47.2 %) for outpatient and inpatients, respectively (p < 0.001). PIMs were present in 117 (26.6 %) of the patients, 40 (14.2 %), and 77(48.4 %) for outpatient and inpatients, respectively (p < 0.001). In multivariate analysis; polypharmacy (≥5 drugs), inpatient status and diagnosis of lung cancer were associated with severe DIs. Polypharmacy, inpatient status, and bad performance score (ECOG 3-4) were associated with PIMs. CONCLUSIONS: Nearly one third of the elderly cancer patients are exposed to severe drug interactions and PIMs. Clinicians dealing with elderly cancer patients should be more cautious when prescribing/ planning drugs to this group of patients. More strategies should be developed in this group of patients to minimize the medications prescribed and prevent severe DIs.