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INTRODUCTION: Our study delves into the intricate interplay of risk factors and the strategic selection of adjuvant therapy, scrutinizing their influence on recurrence and survival outcomes in stage IIA (T3N0M0) colon cancer patients. MATERIALS AND METHODS: The study examined the medical records of patients who underwent surgery for stage IIA colon cancer. Identification of stage IIA (pT3N0M0) colon cancer involved a comprehensive review of postoperative clinical records and histological reports. Parameters such as demographic data, tumor characteristics, MSI status, tumor locations, recurrence risk factors, preoperative CEA levels, and adjuvant treatments were systematically evaluated. RESULTS: In our study involving 220 patients, 138 were male (62.7%), with a median age of 62 years and a median body mass index (BMI) of 25.1 kg/m². In the patient group without risk factors, no statistically significant difference was detected in DFS rates between those who received treatment and those who did not (p=0.546). DFS rates of patients with >1 risk factor were found to be statistically significantly lower than those with a single risk factor (p=0.017). In patients with >1 risk factor, the DFS of those who did not receive adjuvant treatment was significantly lower than those who received adjuvant treatment (p<0.001). In the patient group with recurrence, when adjuvant treatments were considered, recurrence was observed to be significantly higher in the group receiving capecitabine (p=0.01). CONCLUSION: The decision for adjuvant chemotherapy in stage IIA colon cancer patients involves careful consideration of various parameters and risk factors. The evolving landscape of research may refine recommendations, ensuring optimal treatment outcomes while minimizing unnecessary toxicity.
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Many developing countries lack access to recommended first-line treatments for metastatic renal cell carcinoma (mRCC), such as immune checkpoint inhibitors (ICIs) or ICI-tyrosine kinase inhibitor (TKI) combinations. As a result, predictive markers are necessary to identify patients who may benefit from single-agent TKIs for long-term response. This study aims to identify such parameters. This was a multi-centre, retrospective study of patients with mRCC who were undergoing first-line treatment with sunitinib or pazopanib. Patients who had been diagnosed with mRCC and had not experienced disease progression for 36 months or more were deemed to have achieved a long-term response. Predictive clinical and pathological characteristics of patients who did not experience long-term disease progression were investigated. A total of 320 patients from four hospitals were included in the study. The median age of the patients was 60 years (range 20-89 years). According to the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) risk classification, 109 patients were classified as having favourable risk and 211 were in the intermediate-poor risk group. The median progression-free survival (PFS) and overall survival (OS) for all patients were 12.5 months and 76.4 months, respectively. In the long-term responder's group, the median PFS was 78.4 months. Among all patients, prior nephrectomy, the Eastern Cooperative Oncology Group (ECOG) Performance Status (PS) <1, and the absence of brain metastasis were predictive factors for long-term response. For patients in the favourable risk group, the lack of brain metastasis was a predictor of long-term response. In the intermediate-poor risk group, prior nephrectomy and ECOG PS <1 were predictive factors for long-term response. Some individuals with mRCC may experience a durable response to TKIs. The likelihood of a long-term response can be determined by factors such as nephrectomy, ECOG PS < 1, and the absence of brain metastases.
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OBJECTIVE: In studies conducted on non-small cell lung cancer (NSCLC) patients, many factors such as age, stage, weight loss, lymph node, and pleural involvement have been shown to affect survival. On the other hand, systemic inflammation plays a critical role in proliferation, migration, invasion, and metastasis. Inflammation and nutrition-based prognostic scores are reported to be associated with survival in patients with NSCLC. The aim of our study is to show the effects of these scores on survival and disease progression in NSCLC patients. SUBJECTS AND METHODS: Neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), modified Glasgow prognostic score (mGPS), and prognostic nutritional index (PNI) values in 102 patients with stage 1,2 and 3A NSCLC were analyzed retrospectively. RESULTS: NLR (p < 0.001), PLR (p = 0.001), PNI (p < 0.001), and mGPS (p = 0.001) variables showed a statistically significant difference according to mortality groups. NLR and PLR values were higher in exitus patients. However, PNI values were higher in surviving patients. NLR (p < 0.001), PLR (p = 0.004), PNI (p = 0.001), and mGPS (p = 0.015) variables showed a statistically significant difference in terms of locoregional recurrence. PNI (p = 0.001) and mGPS (p = 0.001) in terms of distant metastasis development during follow-up and treatment, showed a statistically significant difference. CONCLUSION: NLR, PLR, PNI, and mGPS are easily accessible and non-invasive parameters and provide predictive information about survival and disease course. We showed the effect of these parameters on the prognosis.
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AIM: We aimed to evaluate the effect of concomitant proton pump inhibitors (PPI) use with nivolumab on survival outcomes in metastatic renal cell carcinoma (mRCC) in second-line setting. METHODS: The study was designed as a multicenter and retrospective involving patients with metastatic renal cell carcinoma receiving second-line nivolumab therapy. One hundred and nine patients with mRCC were divided into two groups based on whether they use PPI concomitantly with nivolumab: concomitant PPI users and non-users. Overall survival (OS) and progression-free survival (PFS) were compared between the groups with and without concurrent PPIs. RESULTS: Of 109 patients in our study, 59 were not using PPI concomitantly with nivolumab and 50 were using PPI concomitantly. The median PFS was 6.37 (5.2-7.5) months in the concomitant PPI group and 9.7 (4.5-15) months in the non-users (p = 0.03). The median OS was 14.6 (7.1-22.1) months in patients on PPI concurrently with nivolumab and 29.9 (17.1-42.7) months in the non-users (p = 0.01). Accordingly, PPI use for PFS (Non-use vs. Use = HR: 0.44, 95%Cl 0.28-0.96, p = 0.014) and PPI use for OS (Non-use vs. Use = HR: 0.68, 95%Cl 0.22-0.88, p = 0.01) were found to be as independent risk factors. CONCLUSIONS: Concomitant use of PPIs is associated with worse survival outcomes in patients with mRCC treated with nivolumab. Clinicians should carefully consider the concomitant use of PPIs in such patients.
