The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.

Although methods in diagnosis and therapy of hepatocellular carcinoma (HCC) have made significant progress in the past decades, the overall survival (OS) of liver cancer is still disappointing. Machine learning models have several advantages over traditional cox models in prognostic prediction. This study aimed at designing an optimal panel and constructing an optimal machine learning model in predicting prognosis for HCC. A total of 941 HCC patients with completed survival data and preoperative clinical chemistry and immunology indicators from two medical centers were included. The OCC panel was designed by univariate and multivariate cox regression analysis. Subsequently, cox model and machine-learning models were established and assessed for predicting OS and PFS in discovery cohort and internal validation cohort. The best OCC model was validated in the external validation cohort and analyzed in different subgroups. In discovery, internal and external validation cohort, C-indexes of our optimal OCC model were 0.871 (95% CI, 0.863-0.878), 0.692 (95% CI, 0.667-0.717) and 0.648 (95% CI, 0.630-0.667), respectively; the 2-year AUCs of OCC model were 0.939 (95% CI, 0.920-0.959), 0.738 (95% CI, 0.667-0.809) and 0.725 (95% CI, 0.643-0.808), respectively. For subgroup analysis of HCC patients with HBV, aged less than 65, cirrhosis or resection as first therapy, C-indexes of our optimal OCC model were 0.772 (95% CI, 0.752-0.792), 0.769 (95% CI, 0.750-0.789), 0.855 (95% CI, 0.846-0.864) and 0.760 (95% CI, 0.741-0.778), respectively. In general, the optimal OCC model based on RSF algorithm shows prognostic guidance value in HCC patients undergoing individualized treatment.

DN-ODE: Data-driven neural-ODE modeling for breast cancer tumor dynamics and progression-free survivals.

Pharmacokinetic/Pharmacodynamic (PK/PD) modeling is crucial in the development of new drugs. However, traditional population-based PK/PD models encounter challenges when modeling for individual patients. We aim to explore the potential of constructing a pharmacodynamic model for individual breast cancer pharmacodynamics leveraging only limited data from early clinical trial phases. While previous studies on Neural Ordinary Differential Equations (ODEs) suggest promising results in clinical trial practices, they primarily focused on theoretical applications or independent PK/PD modeling. PD modeling from complex and irregular clinical trial data, especially when interacting with PK parameters, is still unclear. To achieve that, we introduce a Data-driven Neural Ordinary Differential Equation (DN-ODE) modeling for breast cancer tumor dynamics and progression-free survival data. To validate this approach, experiments are conducted with early-phase clinical trial data from the Amcenestrant (an oral treatment for breast cancer) dataset (AMEERA 1-2), aiming to predict pharmacodynamics in the later phase (AMEERA 3). DN-ODE model achieves RMSE scores of 8.78 and 0.21 in tumor size and progression-free survival, respectively, with R2 scores over 0.9 for each task. Compared to PK/PD methodologies, DN-ODE is able to predict robust individual tumor dynamics with only limited cycle data. We also introduce Principal Component Analysis visualizations for encoder results, demonstrating the DN-ODE's capability to discern individual distributions and diverse tumor growth patterns. Therefore, DN-ODE facilitates comprehensive drug efficacy assessments, pinpoints potential responders, and aids in trial design.

GATIS score for predicting the prognosis of rectal neuroendocrine neoplasms: A Chinese multicenter study of 12-year experience.

BACKGROUND: There is currently a shortage of accurate, efficient, and precise predictive instruments for rectal neuroendocrine neoplasms (NENs). AIM: To develop a predictive model for individuals with rectal NENs (R-NENs) using data from a large cohort. METHODS: Data from patients with primary R-NENs were retrospectively collected from 17 large-scale referral medical centers in China. Random forest and Cox proportional hazard models were used to identify the risk factors for overall survival and progression-free survival, and two nomograms were constructed. RESULTS: A total of 1408 patients with R-NENs were included. Tumor grade, T stage, tumor size, age, and a prognostic nutritional index were important risk factors for prognosis. The GATIS score was calculated based on these five indicators. For overall survival prediction, the respective C-indexes in the training set were 0.915 (95% confidence interval: 0.866-0.964) for overall survival prediction and 0.908 (95% confidence interval: 0.872-0.944) for progression-free survival prediction. According to decision curve analysis, net benefit of the GATIS score was higher than that of a single factor. The time-dependent area under the receiver operating characteristic curve showed that the predictive power of the GATIS score was higher than that of the TNM stage and pathological grade at all time periods. CONCLUSION: The GATIS score had a good predictive effect on the prognosis of patients with R-NENs, with efficacy superior to that of the World Health Organization grade and TNM stage.

Combination of pemetrexed with bevacizumab for non-small-cell lung cancer: a meta-analysis study.

BACKGROUND: Combining pemetrexed with bevacizumab may have some potential in improving the efficacy in patients with non-small-cell lung cancer (NSCLC), and this meta-analysis aims to explore the impact of pemetrexed addition to bevacizumab on treatment efficacy for NSCLC. METHODS: PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases were systematically searched, and we included randomized controlled trials (RCTs) assessing the effect of pemetrexed addition to bevacizumab on treatment efficacy in patients with NSCLC. Overall survival and progression-free survival were included in this meta-analysis. RESULTS: Four RCTs were finally included in the meta-analysis. Overall, compared with bevacizumab for NSCLC, pemetrexed addition showed significantly improved overall survival (hazard ratio [HR] = 0.87; 95% confidence interval [CI] = 0.76 to 0.99; P = 0.03), survival rate (odd ratio [OR] = 1.41; 95% CI = 1.06 to 1.86; P = 0.02), progression-free survival (HR = 0.63; 95% CI = 0.55 to 0.72; P < 0.00001) and progression-free survival rate (OR = 1.92; 95% CI = 1.38 to 2.67; P < 0.00001), but led to the increase in grade ≥ 3 adverse events (OR = 2.15; 95% CI = 1.62 to 2.84; P < 0.00001). CONCLUSIONS: Pemetrexed addition may be effective to improve treatment efficacy for NSCLC compared to bevacizumab treatment.

Nomogram for predicting survival after first-line anti-PD-1-based immunotherapy in unresectable stage IV melanoma: a multicenter international study.

BACKGROUND: The introduction of anti-programmed cell death protein 1 (PD-1) immunotherapy has revolutionized the treatment landscape for melanoma, enhancing both response rates and survival outcomes in patients with advanced stages of the disease. Despite these remarkable advances, a noteworthy subset of patients (40%-60%) does not derive advantage from this therapeutic approach. This study aims to identify key predictive factors and create a user-friendly predictive nomogram for stage IV melanoma patients receiving first-line anti-PD-1-based immunotherapy, improving treatment decisions. MATERIALS AND METHODS: In this retrospective study, we included patients with unresectable stage IV melanoma who received first-line treatment with either anti-PD-1 monotherapy or anti-PD-1 plus anti-cytotoxic T-lymphocyte associated protein 4 between 2014 and 2018. We documented clinicopathological features and blood markers upon therapy initiation. By employing the random survival forest model and backward variable selection of the Cox model, we identified variables associated with progression-free survival (PFS) after the first-line anti-PD-1-based treatment. We developed and validated a predictive nomogram for PFS utilizing the identified variables. We assessed calibration and discrimination performance metrics as part of the evaluation process. RESULTS: The study involved 719 patients, divided into a training cohort of 405 (56%) patients and a validation cohort of 314 (44%) patients. We combined findings from the random survival forest and the Cox model to create a nomogram that incorporates the following factors: lactate dehydrogenase (LDH), S100, melanoma subtype, neutrophil-to-lymphocyte ratio (NLR), body mass index, type of immune checkpoint inhibitor, and presence of liver or brain metastasis. The resultant model had a C-index of 0.67 in the training cohort and 0.66 in the validation cohort. Performance remained in different patient subgroups. Calibration analysis revealed a favorable correlation between predicted and actual PFS rates. CONCLUSIONS: We developed and validated a predictive nomogram for long-term PFS in patients with unresectable stage IV melanoma undergoing first-line anti-PD-1-based immunotherapy.

Impact of body surface area on efficacy and safety in patients with EGFR-mutant non-small cell lung cancer treated with osimertinib as a first-line treatment.

BACKGROUND: The most recommended treatment for stage IV EGFR-positive lung cancer is osimertinib monotherapy. The dosage of osimertinib is fixed at 80 mg/day regardless of body surface area (BSA), however some patients withdraw or reduce the dosage due to adverse events (AEs). METHODS: We performed a retrospective cohort study of 98 patients with EGFR mutation-positive non-small cell lung cancer (NSCLC), who received 80 mg osimertinib as the initial treatment. We investigated the impact of BSA on efficacy and safety of osimertinib. RESULTS: The cut-off value of BSA was estimated using the receiver operating characteristics curve, and was determined to be 1.5 m2. There were 44 patients in the BSA < 1.5 group and 54 patients in the BSA ≥ 1.5 group. There was no significant difference in the incidence of AEs (hematologic toxicity of ≥grade 3 or higher, and non-hematologic toxicity of ≥grade 3) between the two groups. However, the incidence of dose reduction due to AEs was significantly higher in the BSA < 1.5 group compared with the BSA ≥ 1.5 group (16 patients vs 5 patients, p = 0.003). The main reasons were fatigue, anorexia, diarrhea, and liver disfunction. Median progression-free survival (PFS) was not significantly different (16.9 months in the BSA < 1.5 group vs 18.1 months in the BSA ≥ 1.5 group, p = 0.869). CONCLUSION: Differences in BSA affected the optimal dose of osimertinib. However, the PFS with osimertinib treatment was not affected by BSA. Therefore, when using osimertinib as an initial treatment for patients with EGFR-mutant NSCLC, dose reduction to control AEs should be considered, especially in the BSA<1.5 group.

Multicenter Real-World Analysis of Combined MET and EGFR Inhibition in Patients With Non-Small Cell Lung Cancer and Acquired MET Amplification or Polysomy After EGFR Inhibition.

PURPOSE: MET amplification is a common resistance mechanism to EGFR inhibition in EGFR-mutant non-small cell lung cancer (NSCLC). Several trials showed encouraging results with combined EGFR and MET inhibition (EGFRi/METi). However, MET amplification has been inconsistently defined and frequently included both polysomy and true amplification. METHODS: This is a multicenter, real-world analysis in patients with disease progression on EGFR inhibition and MET copy number gain (CNG), defined as either true amplification (MET to centromere of chromosome 7 ratio [MET-CEP7] ≥ 2) or polysomy (gene copy number ≥ 5, MET-CEP7 < 2). RESULTS: A total of 43 patients with MET CNG were included, 42 of whom were detected by FISH. Twenty-three, 7, and 14 received EGFRi/METi, METi, and SoC, respectively. Patients in the EGFRi/METi cohort exhibited a superior real-world clinical benefit rate, defined as stable disease or better, of 82% (95% confidence interval [CI], 60-95) compared to METi (29%, 4-71) and SoC (50%, 23-77). Median real-world progression-free survival was longer with EGFRi/METi with 9.8 vs. 4.3 months with METi (hazard ratio [HR], 0.19, 95% CI, 0.06-0.57) and 3.7 months with SoC (0.41, 0.18-0.91), respectively. Overall survival was numerically improved. Interaction analysis with treatment and type of CNG (amplification vs. polysomy) suggests that differences were exclusively driven by MET-amplified patients receiving EGFRi/METi (HR for OS, 0.09, 0.01-0.54). CONCLUSION: In this real-world study, EGFRi/METi showed clinical benefit over METi and SoC. Future studies should focus on the differential impact of the type of MET CNG with a focus on true MET amplification as predictor of response.

Optimal Management for Primary High Grade Ta Bladder Cancer: Role of re-staging TURBT and Intravesical Adjuvant Therapy.

Objective: This study aims to investigate the impact of risk group classification, restaging transurethral resection (re-TURBT), and adjuvant treatment intensity on recurrence and progression risks in high-grade Ta tumours in patients with non-muscle invasive bladder cancer (NMIBC). Materials and methods: Data from a comprehensive bladder cancer database were utilized for this study. Patients with primary high-grade Ta tumours were included. Risk groups were classified according to AUA/SUO criteria. Tumour characteristics and patient demographics were analysed using descriptive statistics. Cox proportional hazard regression models were used to assess the effect of re-TURBT and other clinical/treatment-related predictors on recurrence- and progression-free survivals. The survivals by selected predictors were estimated using Kaplan-Meier method, and groups were compared by the log-rank test. Results: Among 218 patients with high-grade Ta bladder cancer, those who underwent re-TURBT had significantly better 5-year recurrence-free survival (71.1% vs. 26.8%, p = 0.0009) and progression-free survival (98.6% vs. 73%, p = 0.0018) compared with those with initial TURBT alone. Full BCG treatment (induction and maintenance) showed lower recurrence risk, especially in high-risk patients. However, residual disease at re-TURBT did not significantly affect recurrence risk. Conclusions: This study highlights the significance of risk group classification, the role of re-TURBT, and the intensity of adjuvant treatment in the management of high-grade Ta tumours. A risk-adapted model is crucial to reduce the burden of unnecessary intravesical treatment and endoscopic procedures.

Lipiodol accumulation patterns and their impact on survival outcomes in transarterial chemoembolization for hepatocellular carcinoma: a single institution retrospective analysis.

Conventional Transarterial chemoembolization (TACE) using Lipiodol is a pivotal therapeutic modality for hepatocellular carcinoma (HCC). The link between Lipiodol accumulation patterns and patient survival outcomes remains underexplored. This study assesses the impact of these patterns on the prognosis of HCC patients undergoing TACE. We evaluated HCC patients treated with selective TACE between July 2015 and March 2020, classifying post-procedure Lipiodol accumulation observed on CT scans into four distinct patterns: homogeneous, heterogeneous, defective, and deficient. We analyzed cumulative local tumor recurrence (LTR), progression-free survival (PFS), and overall survival (OS) rates across these groups. Univariate and multivariate logistic regression analyses were performed to identify potential prognostic factors influencing PFS and OS. Among 124 HCC nodules, the distribution of Lipiodol patterns was: 65 homogeneous, 24 heterogeneous, 10 defective, and 25 deficient. Median PFS was 33.2, 9.1, 1.1, and 1.0 months, respectively, while median OS spanned 54.8, 44.5, 25.0, and 29.1 months for these groups. A significant difference in survival was found only between the homogeneous and defective patterns (hazard ratio, 2.33; confidence interval 1.25-4.36). Multivariate analyses revealed nonhomogeneous patterns as significant predictors of shorter PFS (HR 6.45, p < 0.001) and OS (HR 1.73, p = 0.033). Nonhomogeneous Lipiodol patterns in HCC following TACE significantly correlate with higher recurrence and decreased survival rates, especially with defective patterns. Early detection of these patterns may guide timely intervention strategies, potentially enhancing survival outcomes for patients with HCC.

Exploring the therapeutic potential of autologous hematopoietic stem cell transplantation in progressive multiple sclerosis-a systematic review.

BACKGROUND AND PURPOSE: The aim was to determine the value of autologous haematopoietic stem cell transplantation (aHSCT) as a therapeutic intervention for progressive multiple sclerosis (PMS) based on a systematic review of the current literature. METHODS: All studies from the databases PubMed and Google Scholar published in English before February 2024 which provided individual data for PMS patients were systematically reviewed. PICO was defined as population (P), primary progressive MS and secondary progressive MS patients; intervention (I), treatment with aHSCT; comparison (C), none, disease-modifying therapy treated/relapsing-remitting MS cohorts if available; outcome (O), transplant-related mortality, progression-free survival (PFS) and no evidence of disease activity. RESULTS: A total of 15 studies met the criteria including 665 patients with PMS (74 primary progressive MS, 591 secondary progressive MS) and 801 patients with relapsing-remitting MS as controls. PFS data were available for 647 patients. PMS patients showed more severe disability at baseline than relapsing-remitting MS patients. The average transplant-related mortality for PMS in 10 studies was 1.9%, with 10 deaths in 528 patients. PFS ranged from 0% to 78% in PMS groups 5 years after treatment initiation, demonstrating a high variability. No evidence of disease activity scores at 5 years ranged from 0% to 75%. CONCLUSION: Based on the available data, aHSCT does not halt progression in people with PMS. However, there appears to be evidence of improved outcome in selected patients. Due to the heterogeneity of the available data, more comprehensive clinical trials assessing the efficacy of aHSCT across different patient groups are urgently needed to reduce variability and improve patient stratification.

Real-world efficacy of low dose osimertinib as second-line treatment in patients with epidermal growth factor receptor-mutated advanced non-small cell lung cancer.

Background: Response rates of epidermal growth factor receptor (EGFR)-mutated advanced non-small cell lung cancer (NSCLC) to lower doses of osimertinib [20 mg once daily (OD) and 40 mg OD] are similar to those of the recommended dose of 80 mg OD, but there is a lack of real-world evidence on the effect of the lower doses of osimertinib on survival outcomes. We conducted this study to assess the efficacy and safety of lower osimertinib doses for patients with EGFR-mutated advanced NSCLC whose disease had progressed on earlier generation EGFR tyrosine kinase inhibitors (TKIs) in a real-world clinical practice. Methods: This multicenter, retrospective study included patients with EGFR-mutated advanced NSCLC treated with low doses of osimertinib after failing first- or second-generation EGFR TKIs due to acquired T790M mutation. Data on demographics, staging, treatment history, best overall response rate (ORR) based on RECIST 1.1, and adverse events (AEs) were collected from the patients' case notes. Descriptive data were described in percentages and medians. Progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan-Meier method. Results: Of the 22 patients studied [males =8 and females =14; Eastern Cooperative Oncology Group (ECOG) 1 or 2 =7 and ECOG 3 or 4 =15], 45.5% were on 40 mg OD, 31.8% were on 80 mg every other day (EOD), and 22.7% on 40 mg EOD. First-line EGFR TKIs used included afatinib, erlotinib, and gefitinib. The ORR with lower doses of second-line osimertinib was 77.3%. Overall, the median PFS was 10.0 months [95% confidence interval (CI): 8.6-11.4] and median OS was 13.0 months (95% CI: 9.4-16.6). In patients with ECOG 1 or 2, the median PFS was 18.0 months (95% CI: 5.8-30.2) and the median OS was not reached at the time of analysis. In patients with poor ECOG performance status of 3 and 4, good survival outcomes were also seen with a median PFS of 7.0 months (95% CI: 4.7-9.3) and median OS of 10.0 months (95% CI: 7.5-12.5). All AEs except one case of paronychia were Grade 1. There were no Grade 3 or 4 AEs. Conclusions: Treatment with low dose osimertinib demonstrated good efficacy and tolerability in EGFR-mutated advanced NSCLC patients who failed first-line treatment with first- or second-generation EGFR TKIs due to T790M mutation.

A Phase 1b Study of Lenvatinib plus Pembrolizumab in Patients with Unresectable Hepatocellular Carcinoma: Extended Analysis of Study 116.

Introduction: Lenvatinib (dosing for patients who weigh ≥60 kg was 12 mg/day; for patients who weigh <60 kg, the dose was 8 mg/day) plus pembrolizumab 200 mg once every 3 weeks demonstrated antitumor activity and a manageable safety profile in patients with first-line unresectable hepatocellular carcinoma (uHCC) in the open-label phase 1b Study 116/KEYNOTE-524 (primary analysis data cutoff date: October 31, 2019; median follow-up: 10.6 months). This analysis (updated data cutoff date: March 31, 2021) reports efficacy results from 17 months of additional follow-up time. Methods: 100 patients with uHCC were included in the primary analysis (median follow-up: 27.6 months). Endpoints included overall survival (OS), investigator-assessed progression-free survival (PFS), objective response rate (ORR), and duration of response (DOR) per modified RECIST. Landmark analyses of OS by the best response at 3 and 9 months were performed. Pembrolizumab antidrug antibodies (ADAs) and concentrations were also measured (cutoff date: August 7, 2020). Results: ORR was 43.0% (95% CI 33.1-53.3%) and median DOR was 17.1 months (95% CI 6.9-19.3 months). Median PFS and OS were 9.3 months (95% CI 7.4-9.8 months) and 20.4 months (95% CI 14.4-25.9 months), respectively. No treatment-emergent ADAs were detected. Conclusion: Results show a sustained treatment effect with lenvatinib plus pembrolizumab in patients with uHCC in the first-line setting.

Endometrial cancer treatment and outcomes in Argentina: ECHOS-A real-world study.

Objective: Real-world data for patients with endometrial cancer (EC) are limited, particularly in Latin America. We present treatment pattern findings from ECHOS-A - Endometrial Cancer Health Outcomes Study in Argentina. Materials and methods: A retrospective study using clinical data from privately insured patients with EC diagnosed from 2010 to 2019. Index (diagnosis proxy) was first date of an EC-related health term or treatment. Demographics, clinical characteristics, and FIGO staging were described. Disease progression and survival were assessed until study end, loss to follow-up, or death. Results: Of 805 patients with EC, 77.4 % (n = 623/805) received any treatment and 22.6 % (n = 182/805) received none. Among those treated, 31.8 % (n = 198/623) had first-line (1L) systemic therapy, and 45.5 % (n = 90/198) proceeded to second-line (2L) therapy. Mean follow-up was 33.6 (SD 31.8) months. Of those receiving any treatment, 87.3 % (n = 544/623) had FIGO stage data (I, 62.9 %; II, 18.6 %; III, 13.6 %; IV, 5.0 %). Treatment by class in 1L and 2L, respectively, were platinum chemotherapy, 73.7 %, 36.7 %; non-platinum chemotherapy, 73.7 %, 62.2 %; immunotherapy, 1.0 %, 11.1 %; hormone therapy, 17.7 %, 26.7 %. Carboplatin/paclitaxel was the most frequent 1L (52.5 %) and 2L (14.4 %) regimen. Mean time to progression was 14.1 (SD 16.3) and 8.8 (SD 8.3) months in 1L and 2L, respectively. Adjusted 1- to 5-year risk of progression/death was 46.5-77.5 % and 65.0-86.2 % in 1L and 2L, respectively. Conclusions: Approximately one-quarter of patients with EC received no treatment, and approximately two-thirds were not treated with 1L systemic therapy. Efforts to better understand the reasons for these treatment patterns are crucial for improving patient outcomes.

Predicting Tumor Volume Doubling Time and Progression-Free Survival in Untreated Patients from Patient-Derived-Xenograft (PDX) Models: A Translational Model-Based Approach.

Tumor volume doubling time (TVDT) has been shown to be a potential surrogate marker of biological tumor activity. However, its availability in clinics is strongly limited due to ethical and practical reasons, as its assessment requires at least two subsequent tumor volume measurements in untreated patients. Here, a translational modeling framework to predict TVDT distributions in untreated cancer patient populations from tumor growth data in patient-derived xenograft (PDX) mice is proposed. Eleven solid cancer types were considered. For each of them, a set of tumor growth studies in PDX mice was selected and analyzed through a mathematical model to characterize the distribution of the exponential tumor growth rate in mice. Then, assuming an exponential growth of the tumor mass in humans, the growth rates were scaled from PDX mice to humans through an allometric scaling approach and used to predict TVDTs in untreated patients. A very good agreement was found between model predicted and clinically observed TVDTs, with 91% of the predicted TVDT medians fell within 1.5-fold of observations. Further, exploiting the intrinsic relationship between tumor growth dynamics and progression free survival (PFS), the exponential growth rates in humans were used to generate the expected PFS curves in absence of anticancer treatment. Predicted curves were extremely close to published PFS data from studies involving patient cohorts treated with supportive care or low effective therapies. The proposed approach shows promise as a potential tool to increase knowledge about TVDT in humans without the need of directly measuring tumor dimensions in untreated patients, and to predict PFS curves in untreated patients, that could fill the absence of placebo-controlled arms against which to compare treaded arms during clinical trials. However, further validation and refinement are needed to fully assess its effectiveness in this regard.

Circulating interleukin-8 and osteopontin are promising biomarkers of clinical outcomes in advanced melanoma patients treated with targeted therapy.

BACKGROUND: Circulating cytokines can represent non-invasive biomarkers to improve prediction of clinical outcomes of cancer patients. Here, plasma levels of IL-8, CCL4, osteopontin, LIF and BDNF were determined at baseline (T0), after 2 months of therapy (T2) and, when feasible, at progression (TP), in 70 melanoma patients treated with BRAF and MEK inhibitors. The association of baseline cytokine levels with clinical response, progression-free survival (PFS) and overall survival (OS) was evaluated. METHODS: Cytokine concentrations were measured using the xMAP technology. Their ability to discriminate between responding (Rs) and non-responding (NRs) patients was assessed by Receiver Operating Characteristics analysis. PFS and OS were estimated with the Kaplan-Meier method. The Cox proportional hazard model was used in the univariate and multivariate analyses to estimate crude and adjusted hazard ratios with 95% confidence intervals. RESULTS: CCL4 and LIF were undetectable in the majority of samples. The median osteopontin concentration at T0 and T2 was significantly higher in NRs than in Rs. The median T0 and T2 values of IL-8 were also higher in NRs than in Rs, although the statistical significance was not reached. No differences were detected for BDNF. In 39 Rs with matched T0, T2, and TP samples, osteopontin and IL-8 significantly decreased from T0 to T2 and rose again at TP, while BDNF levels remained unchanged. In NRs, none of the cytokines showed a significant decrease at T2. Only osteopontin demonstrated a good ability to discriminate between Rs and NRs. A high IL-8 T0 level was associated with significantly shorter PFS and OS and higher risk of progression and mortality, and remained an independent negative prognostic factor for OS in multivariate analysis. An elevated osteopontin T0 concentration was also significantly associated with worse OS and increased risk of death. Patients with high IL-8 and high osteopontin showed the lowest PFS and OS, and in multivariate analysis this cytokine combination remained independently associated with a three- to six-fold increased risk of mortality. CONCLUSION: Circulating IL-8 and osteopontin appear useful biomarkers to refine prognosis evaluation of patients undergoing targeted therapy, and deserve attention as potential targets to improve its clinical efficacy.

A multivariate retrospective analysis of high-grade gliomas: Survival and prognostic factors.

OBJECTIVES: High-grade gliomas (HGGs) are highly malignant, aggressive, and have a high incidence and mortality rate. The aim of this study was to investigate survival outcomes and prognostic factors in patients with HGGs. METHODS: In this retrospective study, a total of 159 patients with histologically confirmed HGGs were included. The recruitment period was from January 2011 to December 2019. We evaluated patient demographic data, tumor characteristics, treatment methods, immunocytochemistry results, overall survival (OS) time, and progression-free survival (PFS) time using Kaplan-<>Meier survival analysis with log-rank testing. Additionally, we employed Cox regression analysis to identify independent factors associated with survival outcomes. RESULTS: Kaplan-Meier survival analysis revealed that the 1-, 2-, and 5-years OS rates were 81.8%, 50.3%, and 12.6%, respectively. Similarly, the 1-, 2-, and 5-years PFS rates were 50.9%, 22.4%, and 3.1%, respectively. The median OS duration was 35.0 months. The univariate analysis indicated that postoperative pathological classification, grade, and age were significantly associated with patient outcomes (p < 0.01). Among the patients, 147 received concurrent chemoradiotherapy, while 12 did not. The immunohistochemical markers of ki-67, MGMT, IDH1R132H, and p53 demonstrated statistically significant differences in their prognostic impact (p = 0.001, p = 0.020, p = 0.003, and p = 0.021, respectively). In conclusion, we found that grades, age, pathological classification, ki-67, MGMT, and IDH1R132H expression were statistically significantly associated with PFS (p < 0.01, p = 0.004, p = 0.003, p = 0.001, p = 0.036, and p = 0.028). Additionally, immunohistochemical expressions of TRIB3 and AURKA were significantly higher in patients with shorter survival (p = 0.015 and p = 0.023). CONCLUSIONS: Tumor grade and the use of concurrent chemoradiotherapy after surgery were independent prognostic factors that significantly influenced patient survival. Additionally, tumor grade and MGMT expression were found to be independent factors affecting progression-free survival (PFS). Notably, the expression of TRIB3 and AURKA was higher in patients with poor survival outcomes.

Adjustment for imbalances in baseline characteristics in the MAGNITUDE phase 3 study confirms the clinical benefit of niraparib in combination with abiraterone acetate plus prednisone in patients with metastatic prostate cancer.

BACKGROUND: MAGNITUDE (NCT03748641) demonstrated favourable outcomes with niraparib plus abiraterone acetate plus prednisone (+AAP) versus placebo+AAP in patients with BRCA1/2-altered metastatic castration-resistant prostate cancer (mCRPC). Imbalances in prognostic variables were reported between arms, which impacts estimation of both the clinical benefit and cost­effectiveness of niraparib+AAP for healthcare systems. A pre-specified multivariable analysis (MVA) demonstrated improved overall survival (OS) with niraparib+AAP. Here, we used an inverse probability of treatment weighting (IPTW) model to adjust for covariate imbalances and assess time-to-event outcomes. METHODS: IPTW analysis of time-to-event outcomes was conducted using data from patients with BRCA1/2-altered mCRPC (N = 225) in MAGNITUDE. Patients received niraparib+AAP or placebo+AAP. OS, radiographic progression-free survival, time to symptomatic progression, time to initiation of cytotoxic chemotherapy and time to prostate-specific antigen progression were assessed. Weighted Kaplan-Meier curves were generated for each endpoint, and adjusted hazard ratios (HR) were obtained from a weighted Cox model. RESULTS: Improvements in survival outcomes were estimated for niraparib+AAP versus placebo+AAP: unadjusted median OS was 30.4 months versus 28.6 months, respectively (HR: 0.79; 95 % confidence interval [CI]: 0.55, 1.12; p = 0.183). Following IPTW, median OS increased to 34.1 months with niraparib+AAP versus a decrease to 27.4 with placebo (HR: 0.65; 95 % CI: 0.46, 0.93; p = 0.017). Similar improvements were observed for other time-to-event endpoints. CONCLUSIONS: IPTW adjustment provided a more precise estimate of the clinical benefit of niraparib+AAP versus placebo+AAP in patients with BRCA1/2-altered mCRPC. Results were consistent with the pre-specified MVA, and further demonstrated the value of adjusting for baseline imbalances, particularly in smaller studies. TRIAL REGISTRATION: NCT03748641 (MAGNITUDE).

Survival Outcomes of Primary versus Interval Cytoreductive Surgery for FIGO IV Ovarian Cancer (SOFI-4): a Nationwide Population-based Target Trial Emulation.

BACKGROUND: The effect of primary cytoreductive surgery versus interval cytoreductive surgery on FIGO IV ovarian cancer outcomes remains uncertain, and may vary depending on the stage and the extraperitoneal metastasis location. Emulating target trials through causal assessment combined with propensity score adjustment has become a leading method for evaluating interventions using observational data. OBJECTIVE: To assess the effect of primary versus interval cytoreductive surgery on progression-free and overall survival in patients with FIGO IV ovarian cancer using target trial emulation. STUDY DESIGN: Utilizing the comprehensive French national health insurance database, we emulated a target trial to explore primary versus interval cytoreductive surgery causal impacts on FIGO IV ovarian cancer prognosis (Surgery for Ovarian cancer FIGO 4: SOFI-4). The clone method with inverse probability of censoring weighting was used to adjust for informative censoring and balance baseline characteristics between the groups. Subgroup analyses were conducted based on FIGO stages and extraperitoneal metastasis locations. The study included patients under 75 years of age, in good health condition, diagnosed with FIGO IV ovarian cancer between January 1, 2014, and December 31, 2022. The primary and secondary outcomes were respectively five-year progression-free survival and seven-year overall survival. RESULTS: Among the 2,772 patients included in the study, 948 (34.2%) were classified as FIGO IVA and 1,824 (65.8%) as FIGO IVB at inclusion. Primary cytoreductive surgery was performed on 1,182 patients (42.6%), while interval cytoreductive surgery was conducted on 1,590 patients (57.4%). The median progression survival for primary cytoreductive surgery was 19.7 months (interquartile range [IQR]: 19.3-20.1), compared to 15.7 months (IQR: 15.7-16.1) for those who underwent interval cytoreductive surgery. The median overall survival was 63.1 months [IQR: 61.7-65.4] for primary cytoreductive surgery, in comparison to 55.6 months [IQR: 53.8-56.3] for interval cytoreductive surgery. The findings of our study indicate that primary cytoreductive surgery is associated with a 5.0-month increase in five-year progression-free survival (95% Confidence Intervals [CI]: 3.8-6.2) and a 3.9-month increase in seven-year overall survival (95% CI: 1.9-6.2). These survival benefits of primary over interval cytoreductive surgery were observed in both the FIGO IVA and IVB subgroups. Primary cytoreductive surgery demonstrated improved progression-free survival and overall survival in patients with pleural, supra-diaphragmatic, or extra-abdominal lymph node metastasis. CONCLUSIONS: SOFI-4 advocates for the benefits of primary cytoreductive surgery over interval cytoreductive surgery for patients with FIGO IV ovarian cancer, suggesting extraperitoneal metastases like supra-diaphragmatic or extra-abdominal lymph nodes should not automatically preclude primary cytoreductive surgery consideration in suitable patients.

Retrospective Analysis of Efficacy and Toxicity of Stereotactic Body Radiotherapy and Surgical Resection of Adrenal Metastases from Solid Tumors.

BACKGROUND: This single-center retrospective study aimed to evaluate the efficacy and toxicity profiles of stereotactic body radiotherapy (SBRT) and surgical resection in patients with adrenal metastases originating from solid tumors. METHODS/MATERIALS: Patients with advanced tumor conditions or comorbidities typically received SBRT, whereas those considered physically fit underwent standard surgical treatment. Endpoints included local control (LC), progression free survival (PFS), overall survival (OS), and complication rates (CR). RESULTS: 41 patients with 48 adrenal metastases were included, with 27 (65.9%) patients receiving SBRT and 14 (34.1%) patients undergoing adrenalectomy. One- and two-year LC values were 100% for both periods after adrenalectomy, and 70.0% and 52.5% after SBRT (p = 0.001). PFS showed values of 40.2% and 32.1% at one and two years after adrenalectomy and of 10.6% for both periods after SBRT (p = 0.223). OS was 83.3% both one and two years after surgery and 67.0% and 40.2% after SBRT (p = 0.031). There was no statistically significant difference between the two groups regarding acute complications (p = 0.123). CONCLUSION: Despite potential confounders, adrenalectomy exhibited statistically significant superior LC and OS compared to SBRT in managing adrenal metastases, while both treatment methods displayed acceptable toxicity profiles. However, patient selection bias must be taken into account when directly comparing the two therapy modalities. Nevertheless, the study provides new and important results for the scientific and medical communities regarding oncological outcomes after SBRT or surgical resection of adrenal metastases.

Avelumab as second-line or later treatment in patients with metastatic Merkel cell carcinoma: Analysis of real-world outcomes in France using the CARADERM database linked to the French national healthcare database.

AIM: Avelumab has been approved worldwide for treatment of metastatic Merkel cell carcinoma (mMCC), a rare and aggressive skin cancer. This study evaluated outcomes in patients with mMCC in France who received avelumab as second-line or later (2L+) treatment in routine clinical practice. METHODS: This retrospective, noninterventional study evaluated all patients diagnosed with mMCC using two databases: CARADERM (French national database of rare dermatological cancers) and SNDS (national healthcare database), identified via probabilistic linkage. Eligible patients initiated avelumab as 2L+ treatment between August 2016 and December 2019 and were followed for 24 months. The primary endpoint was overall survival (OS) at 24 months. RESULTS: Overall, 180 patients who received 2L+ avelumab were identified (112 from CARADERM, 68 after SNDS linkage). Median age at diagnosis was 74.0 years and 177 (98.3 %) had received chemotherapy alone as first-line treatment. Median follow-up was 13.1 months. Median OS from start of avelumab was 14.6 months (95 % CI, 9.9-21.3) in the overall population, 15.9 months (95 % CI, 8.6-28.3) in CARADERM patients, and 13.3 months (95 % CI, 6.7-19.1) in non-CARADERM patients. OS rates at 12 and 24 months were 53.8 % (95 % CI, 46.2 %-60.8 %) and 40.5 % (95 % CI, 33.2 %-47.6 %), respectively. In evaluable patients (CARADERM database), median progression-free survival was 3.6 months (95 % CI, 2.7-7.5) and the objective response rate was 55.3 % (95 % CI, 45.3-65.4), including complete response in 31.9 %. CONCLUSIONS: Real-world outcomes with 2L+ avelumab treatment for mMCC are consistent with clinical trial findings, supporting the recommendation of avelumab as a standard of care.