Survival Outcomes In Patients Research Articles

The relationship between metabolic syndrome and survival of patients with endometrial cancer: a meta-analysis.

Metabolic syndrome (MetS) is associated with a high risk of endometrial cancer (EC). However, its impact on EC progression remains unclear. This meta-analysis examined the association between MetS and survival outcomes in EC patients. A comprehensive search of PubMed, EMBASE, and Web of Science databases up to May 22, 2024, was conducted. Two independent reviewers performed study selection, data extraction, and quality assessment. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using a random effects model. Nine studies comprising 13,579 endometrial cancer (EC) patients were included. Among these, 2,896 patients (21.3%) had MetS at the time of enrollment. The follow-up durations ranged from 3.4 to 14.2 years. The results showed that EC patients with MetS at baseline demonstrated significantly poorer overall survival (HR = 1.57, 95% CI = 1.19-2.07, p = 0.002; I2 = 25%) and progression-free survival (HR = 1.33, 95% CI = 1.08-1.63, p = 0.007; I2 = 16%). A similar association was observed for cancer-specific survival (HR = 1.26, 95% CI = 1.10-1.44, p = 0.001; I2 = 0%). Subgroup analyses based on study characteristics showed consistent results across studies conducted in countries with different follow-up durations. This meta-analysis suggests that MetS is associated with poor survival outcomes in EC patients. Further prospective studies are required to validate our findings. PROSPERO, identifier CRD42024561654.

A predictive model for survival outcomes of glioma patients based on multi-parametric, multi-regional MRI radiomics features and clinical features

To establish a predictive model for survival outcomes of glioma patients based on both brain radiomics features from preoperative MRI multi-sequence images and clinical features. We retrospectively analyzed the MRI images and clinical data of 388 glioma patients and extracted the radiomics features from the peritumoral edema zone, tumor core, and whole tumor on T1, T2, and T1-weighted contrast-enhanced (T1CE) and fluid attenuated inversion recovery (FLAIR) sequences. The cases were divided into a training set (271 cases) and a test set (117 cases). Random survival forest algorithms were used to select the radiomics features associated with overall survival (OS) in the training set to construct a radiomic score (Rad-score), based on which the patients were classified into high- and low-risk groups for Kaplan-Meier survival analysis. Cox proportional hazard regression models for the 3 different tumor zones were constructed, and their performance for predicting 1- and 3-year survival rates was evaluated using 5-fold cross-validation and AUC analysis followed by external validation using data from another 10 glioma patients. The best-performing model was used for constructing a nomogram for survival predictions. Five radiomics features from the tumor core, 7 from the peritumoral edema zone, and 5 from the whole tumor were selected. In both the training and test sets, the high- and low-risk groups had significantly different OS (P < 0.05), and age, IDH status and Rad-score were independent factors affecting OS. The combined model showed better performance than the Rad-score model with AUCs for 1-year and 3-year survival prediction of 0.750 and 0.778 in the training set, 0.764 and 0.800 in the test set, and 0.938 and 0.917 in external validation, respectively. The predictive model combining preoperative multi-modal MRI radiomics features and clinical features can effectively predict survival outcomes of glioma patients.

IN-HOSPITAL OUTCOMES AMONG PATIENTS PRESENTED WITH ST-ELEVATION MYOCARDIAL INFARCTION TREATED WITH PRIMARY PERCUTANEOUS CORONARY INTERVENTION

Primary Percutaneous Coronary Intervention (PCI) is considered the gold standard treatment for patients with ST-elevation myocardial Infarction (STEMI). Prompt intervention, aimed at restoring blood flow, plays a critical role in improving survival and minimizing complications in these patients. Objective: The objective of this study was to evaluate in-hospital outcomes among patients diagnosed with STEMI and treated with Primary PCI. Methods: This cross-sectional study was conducted in the Cardiology Department over one year. The study included patients aged 50 years and older who were diagnosed with STEMI based on electrocardiographic criteria and presented within 12 hours of symptom onset. Demographic information, clinical characteristics, comorbidities, and in-hospital outcomes were recorded. Statistical analyses were performed using relevant descriptive measures. Results: A total of 150 patients were included in the study. The mean age of patients was 60.89 ± 5.65 years, with 64.4% being male. The average door-to-balloon time was 89.93 ± 18.12 minutes. Successful reperfusion, defined as achieving a TIMI grade 3 flow, was observed in 87.8% of the patients. In-hospital mortality was recorded at 4.4%, while 3.3% of patients developed infections during their hospital stay. Conclusion: The study demonstrated favourable in-hospital outcomes for STEMI patients treated with Primary PCI, with a high success rate in achieving TIMI grade 3 flow and a relatively low in-hospital mortality rate. These findings underscore the efficacy of timely PCI in improving survival and procedural outcomes in STEMI patients, particularly when door-to-balloon time is minimized.

Association between radiation therapy for primary endometrial cancer and risk of second primary malignancies: a retrospective cohort study

Our objective was to evaluate the association of adjuvant radiation therapy (RT) to subsequent second primary malignancies (SPMs) in endometrial cancer survivors. Patients with endometrial cancer as their first malignancy were identified from 8 registries of the Surveillance, Epidemiology, and End Results (SEER) database. SPMs were defined as any type of primary malignancy that occurred more than 12 months after the diagnosis of endometrial cancer. Fine-Gray competing risk regression and Poisson regression were used to evaluate the radiotherapy-associated risk (RR) for SPMs. The Kaplan-Meier method was applied to assess the survival outcomes of endometrial cancer patients. Of 62,108 endometrial cancer patients,16,846 patients (27.12%) were in the RT group, and 45,262 patients (72.88%) were in the no-RT group. During the 30-year follow-up period, the cumulative incidence of SPMs was 20.9% and 19.7% in each group, respectively. In both multivariable competing risk regression analysis and Poisson regression analysis, adjuvant RT was found to be associated with a higher risk of developing colon and rectum cancer (adjusted hazard ratio (HR), 1.29; 95% confidence interval (CI), 1.12–1.50; P < 0.001; adjusted RR, 1.29; 95% CI, 1.11–1.49; P < 0.001), lung and bronchus cancer (adjusted HR, 1.27; 95% CI, 1.08–1.50; P = 0.004; adjusted RR, 1.26; 95% CI, 1.07–1.49; P = 0.005), vulva cancer (adjusted HR, 1.72; 95% CI, 1.04–2.85; P = 0.036; adjusted RR, 1.74; 95% CI, 1.03–2.88; P = 0.035), urinary bladder cancer (adjusted HR, 1.86; 95% CI, 1.41–2.46; P < 0.001; adjusted RR, 1.85; 95% CI, 1.40–2.44; P < 0.001), and non-Hodgkin lymphoma (adjusted HR, 1.37; 95% CI, 1.06–1.77; P = 0.016; adjusted RR, 1.37; 95% CI, 1.05–1.76; P = 0.017). However, a slightly decreased risk of breast cancer was observed in patients who underwent adjuvant RT (adjusted HR, 0.89; 95% CI, 0.80–0.98; P = 0.021; adjusted RR, 0.88; 95% CI, 0.80–0.98; P = 0.020). The RR for colon and rectum cancer decreased with age and elevated with increasing latency since endometrial cancer diagnosis, and the RR for urinary bladder cancer showed a similar tendency with latency. SPMs can significantly impair the survival outcomes of primary endometrial cancer survivors. Our findings suggest that adjuvant RT for endometrial cancer patients increases the risk of non-Hodgkin lymphoma and several types of solid cancer. Long-term surveillance of these patients should be recommended for detecting SPMs.

Patterns of Care, Prognostic Factors, and Survival Outcomes for Patients of Cervical Carcinoma: A Study From North India

Patterns of Care, Prognostic Factors, and Survival Outcomes for Patients of Cervical Carcinoma: A Study From North India

Predictive markers of response to immune checkpoint inhibitor rechallenge in metastatic non-small cell lung cancer.

The present study aims to evaluate the efficacy of rechallenge with immune checkpoint inhibitors (ICIs) compared to chemotherapy and the predictive role of clinical parameters in non-small cell lung cancer (NSCLC) patients who were rechallenged. The study included 113 metastatic NSCLC patients who had initially responded to ICIs and platinum-based chemotherapy, either in combination in the first line or sequentially in the first and second line, but later experienced disease progression. Of those patients, 52 later received ICI rechallenge and 61 were exposed to chemotherapy. In the rechallenge cohort, the median age was 67 years, 38 patients were men (73.1%), 26 (50.0%) had squamous cell carcinoma. Patients who underwent ICI rechallenge had longer overall survival (OS) compared to those who received chemotherapy (12.9 months vs. 9.6 months, P = 0.008). Multivariate analysis for progression-free survival (PFS) and OS revealed that poor Eastern Cooperative Oncology Group Performance Status (ECOG PS; PFS: P = 0.013 and OS: P = 0.037), absence of objective response during initial ICI therapy (PFS: P = 0.014 and OS: P = 0.028), and baseline neutrophil-to-lymphocyte ratio (NLR) ≥ 3.8 (PFS: P = 0.001 and OS: P = 0.003) were negative predictive factors of ICI rechallenge. The three parameters were included in a risk model named as the NEO score, which stratified patients who received ICI rechallenge into two predictive groups. Patients with ECOG PS 0-1, objective response during initial ICI treatment, and NLR < 3.8 (favorable group) had longer PFS (8.6 months vs. 3.0 months, P < 0.001) and OS (16.6 months vs. 5.5 months, P < 0.001) compared to those with absence of all three markers (poor group). There was no association between the NEO score and survival outcomes in patients who did not undergo rechallenge. ICI rechallenge showed a survival benefit, particularly in NSCLC patients with NLR < 3.8, good ECOG PS, and objective response.

Efficacy and safety of combining radiotherapy with immune checkpoint inhibitors in patients with advanced non-small cell lung cancer: a real-world study

Background The significance of local radiotherapy (RT) in advanced non-small-cell lung cancer (NSCLC) is well documented. However, the advent of immunotherapy has raised questions regarding the synergistic survival benefits or potential adverse effects. Objective This study aimed to explore whether a combination of RT and systematic immune checkpoint inhibitors (ICIs) can improve the survival outcomes for NSCLC patients. Methods Based on collected data patients who received RT were defined as the RT group, and those who had not for any site were defined as the non-RT group. Propensity score matching (PSM) was employed to mitigate bias. The primary endpoint was progression-free survival (PFS), with secondary endpoints including overall survival (OS) and treatment-related adverse events (AEs). Results Out of 709 patients (235 in RT group and 474 in non-RT group) were included, with 213 patients per group. The median PFS of the RT group was better than that of the non-RT group (13.8 months versus 9.5 months; p < 0.0001), although no superiority in median overall survival (OS) of the RT group was observed (p = 0.715). However, among the cohort of patients with ≤3 metastases, the median OS of the RT group improved significantly (HR = 0.60, [95% CI 0.44–0.83]; p = 0.004). Treatment-related AEs occurred in 94.5% of RT group patients and in 94.9% of non-RT group patients (p = 0.792), which indicated no observable increase in AEs from RT. Conclusions These results demonstrate the tolerability of RT when administered along with immunotherapy, suggesting its potential to positively impact the survival outcomes of NSCLC patients.

Clinical study on conversion therapy of hepatocellular carcinoma - summary and comparison of clinical data from a single center of consecutive four years

AimThe purpose of this study was to interpret real-world clinical data to analyze the surgical safety and survival outcomes of patients with initial unresectable hepatocellular carcinoma (uHCC) after conversion therapy.MethodsA retrospective analysis was performed on 2984 hepatocellular carcinoma (HCC) patients hospitalized in Shandong Cancer Hospital Affiliated to Shandong First Medical University from June 1st, 2019 to June 1st, 2023. Clinicopathological features, response to systemic and/or loco-regional treatments, surgical resection rate after conversion therapy, surgical safety, and postoperative recurrence were analyzed.ResultsA total of 38 patients were successfully converted to obtain surgical resection. 35 patients underwent radical resection. A high objective response rate (ORR) (52.6% under RECIST v1.1 and 78.9% under mRECIST criteria) was observed in patients under conversion therapy, and the disease control rate (DCR) was 100%. Pathologic complete response (pCR) was 42.9%. Treatment-related adverse events (TRAEs) of any grade were observed in 37 patients (97.4%). Safety of conversion or direct surgery continues to improve. The median follow-up time was 19.3 months. The 1-year Disease-free survival (DFS) rate of patients with direct surgery and patients with conversion surgery were 91.4% and 86.8%, respectively.ConclusionsWith conversion therapy, a small percentage (1.81%) of uHCC patients are likely to be converted to radical resection. Local combined systemic therapy is a relatively safe and effective conversion therapy, and the safety of surgery is gradually improved after successful conversion. Preliminary follow-up data showed satisfactory survival benefits for patients undergoing conversion surgery.Trial registrationThis was a retrospective study and it did not interfere with treatment decisions.

Assessing Influence of Mismatch Repair Mutations on Survival in Patients After Resection of Pancreatic Ductal and Periampullary Adenocarcinoma.

Background: Pancreatic ductal adenocarcinoma (PDAC) is the third leading cause of cancer-related deaths in the United States. Previous studies have indicated that microsatellite instability and deficient mismatch repair (MMR) may be associated with improved survival in patients with pancreatic cancer. Here, we aim to investigate the impact of deficient MMR (dMMR) status on oncologic outcomes in patients after resection of PDAC and periampullary adenocarcinoma. Methods: This is a single-institution, retrospective study based on a prospectively maintained database. Pancreatic ductal adenocarcinoma (N = 342) and periampullary adenocarcinoma patients (N = 76) who underwent pancreatic resection surgery between 2016 and 2021 were included. Immunohistochemistry staining results of MMR proteins and next-generation sequencing data were recorded. Cancer-type dependent Cox regression analyses were performed to assess overall and disease-free survival, which was complemented with a 1:2 propensity-score matching for each of the cancer types in order to compare oncologic outcomes. Results: A total of 418 pancreatic cancer patients were included in the analysis. Fifteen patients (3.5%) were diagnosed as dMMR (PDAC N = 7 and periampullary adenocarcinoma N = 8). Cox regression modeling of dMMR status interaction with TNM staging and cancer type revealed that dMMR status strongly improves overall survival (p < 0.05). After propensity-score matching, Cox regression identified dMMR status as a significant marker of improved overall survival (HR = 0.27, 95%CI 0.09-0.88, p = 0.029). Conclusions: Overall, our findings suggest that dMMR status is associated with markedly improved survival outcomes in patients after resection of pancreatic and periampullary cancer. Future large-scale studies are needed to further validate this finding.

Large Scale Comparative Analysis of Canine and Human Osteosarcomas Uncovers Conserved Clinically Relevant Tumor Microenvironment Subtypes.

Osteosarcoma is an aggressive bone cancer lacking robust biomarkers for personalized treatment. Despite its scarcity in humans, it is relatively common in adult pet dogs. This study aimed to analyze clinically annotated bulk tumor transcriptomic datasets of canine and human osteosarcoma patients to identify potentially conserved patterns of disease progression. Bulk transcriptomic data from 245 pet dogs with treatment-naïve appendicular osteosarcoma were analyzed using deconvolution to characterize the tumor microenvironment (TME). The TME of both primary and metastatic tumors derived from the same dog was compared, and its impact on canine survival was assessed. A machine learning model was developed to classify the TME based on its inferred composition using canine tumor data. This model was applied to 8 independent human osteosarcoma datasets to assess its generalizability and prognostic value. This study found three distinct TME subtypes of canine osteosarcoma based on cell type composition of bulk tumor samples: Immune Enriched (IE), Immune Enriched Dense Extra-Cellular Matrix-like (IE-ECM), and Immune Desert (ID). These three TME-based subtypes of canine osteosarcomas were conserved in humans and could predict progression-free survival outcomes of human patients, independent of conventional prognostic factors such as percent tumor necrosis post standard of care chemotherapy treatment and disease stage at diagnosis. These findings demonstrate the potential of leveraging data from naturally occurring cancers in canines to model the complexity of the human osteosarcoma TME, offering a promising avenue for the discovery of novel biomarkers and developing more effective precision oncology treatments.

Body Composition Decrease and Impact on Clinical Outcome in Gastric Cancer Patients Undergoing Radical Gastrectomy After Neoadjuvant Treatment

This study investigates the impact of neoadjuvant therapy (NT) on body composition and its correlation with long-term survival and other clinical outcomes in patients with advanced gastric cancer. We utilized Computed Tomography (CT) scans to measure body composition before and after NT, including Subcutaneous Adipose Tissue Index (SATI), Visceral Adipose Tissue Index (VATI), Skeletal Muscle Index (SMI), and Muscle Density (MA). We then analyzed the decrease in body composition in relation to tumor regression, inflammatory markers, nutritional scores, and long-term survival. Our findings reveal a negative correlation between the decrease in SATI and VATI after NT, and both tumor regression and nutritional score. Notably, patients who experienced a significant loss in SATI or VATI post-NT had shorter Recurrence-Free Survival (RFS) and Overall Survival (OS). Additionally, significant loss in SATI and VATI emerged as an independent risk factor for both RFS and OS. In conclusion, our study convincingly demonstrates that in patients with advanced gastric cancer, SATI and VATI decreases after NT and is negatively associated with tumor regression and nutritional score. A significant loss in SATI and VATI is a risk factor for shorter RFS and OS, thereby underscoring the importance of maintaining body composition during NT.

Perioperative immunotherapy for non-small cell lung cancer: consensus and controversy (2024 edition)

Lung cancer is the malignant tumour with the highest morbidity and mortality rate in China, among which non-small cell lung cancer (NSCLC) is the main pathological type of lung cancer, accounting for about 80% to 85%. Radial surgery is the standard treatment for early-stage NSCLC, but postoperative recurrence is an inevitable problem in clinical practice. Adding perioperative chemotherapy to surgery can only increase the 5-year overall survival rate by about 5%. There is an urgent need for better systemic treatments. In recent years, immunotherapeutic drugs, represented by PD-1/PD-L1 monoclonal antibodies, have brought breakthroughs from subsequent-line treatment to front-line treatment for NSCLC. Several Phase III studies on perioperative immunotherapy have shown that adding immunotherapy during the neoadjuvant and adjuvant treatment can significantly improve survival outcomes for patients, leading to the development of a new standard treatment for resectable NSCLC. In January 2024, the first PD-1 monoclonal antibodies (Toripalimab) were approved for perioperative treatment of NSCLC in China, starting a new era of perioperative immunotherapy. At present, there is still a lack of unified consensus on the application of perioperative immunotherapy at all levels of medical institutions. In order to privide diagnostic and treatment guidance for clinicians, promote the standardization of clinical practice for immunotherapy in resectable NSCLC, and clarify the controversial opinions regarding perioperative immunotherapy, Lung Cancer Expert Committee of the Chinese Anti-Cancer Association, Chinese Thoracic Oncology Group, Lung Cancer Expert Committee of the Chinese Medical Association Oncology Society jointly published this Consensus and Controversy to provide a guidance for the standardized management of perioperative immunotherapy for NSCLC.

Anatomy-guided resections for paralimbic tumors in the temporo-insular region: combining tumor and epilepsy surgery concepts.

Tumors in the temporo-mesial region often extend into the insula and vice versa. The present study investigated the results of a surgical strategy that combines principles of tumor and epilepsy surgery. We retrospectively analyzed 157 consecutive patients with intrinsic brain tumors in the temporo-mesial region, with varying degrees of extensions into the insula (44 patients, 28.0%). The surgical strategy utilized "anatomy-guided resection," targeting specific anatomical compartments infiltrated by the tumor (e.g., temporal pole, anterior temporo-mesial region = uncus and hippocampal head, posterior temporo-mesial, insula) rather than treating the tumor as a single mass. The most frequent histologies were ganglioglioma CNS WHO grade 1 (55 patients, 35.0%) and IDH1 wildtype glioblastoma (36 patients, 22.9%). Tumor infiltration was most commonly found in the anterior temporo-mesial compartment (145 patients, 92.4%). An anterior temporal lobectomy was part of the surgical strategy in 131 cases (83.4%). Seventy-six patients (48.4%) with drug-resistant epilepsy underwent a formal presurgical epilepsy work-up, including depth electrode placement in three cases. Complete resections were achieved in 117 patients (74.5%), with supramarginal resections performed in 89 cases (56.7%). Four patients experienced non-temporary neurological complications (CTCAE grade 3-5). At 6 months, 127 of 147 assessable patients (86.4%) were free from seizures or auras (ILAE class 1), excluding early postoperative seizures (<30 days). At 24 months, 122 of 144 assessable cases (84.7%) remained seizure-free (ILAE class 1). Kaplan-Meier estimates for 5-year overall survival were 98.5% for non-recurrent glioneuronal tumors. The 2-year overall survival estimates were 96.0% for 24 primary diffuse CNS WHO grade 2 and 3 gliomas and 55.2% for 30 patients undergoing first surgeries for glioblastomas/astrocytomas CNS WHO grade 4. Combining both epilepsy and tumor surgery concepts in the surgical treatment of intrinsic brain tumors involving the mesial temporal lobe, often extending into the insula, led to more extensive resections, improved seizure outcomes, and potentially even better patient survival outcomes.

Construction and interpretation of machine learning-based prognostic models for survival prediction among intestinal-type and diffuse-type gastric cancer patients

BackgroundGastric cancer is one of the most common malignant tumors worldwide, with high incidence and mortality rates, and it has a complex etiology and complex pathological features. Depending on the tumor type, gastric cancer can be classified as intestinal-type and diffuse-type gastric cancer, each with distinct pathogenic mechanisms and clinical presentations. In recent years, machine learning techniques have been widely applied in the medical field, offering new perspectives for the diagnosis, treatment, and prognosis of gastric cancer patients.MethodsThis study recruited 2158 gastric cancer patients and constructed prognostic prediction models for both intestinal-type and diffuse-type gastric cancer. Clinical pathological data were collected from patients, and machine learning algorithms were used for feature selection and model construction. The performance of the models was validated with training and testing datasets. The Shapley additive explanations (SHAP) values were used to interpret the model predictions and identify the main factors that influence patient survival.ResultsIn the prognostic model for intestinal-type gastric cancer, the gradient boosting decision tree (GBDT) model demonstrated the best performance, with key features including pTNM, CA125, tumor size, CA199, and PALB. Similarly, in the prognostic model for diffuse-type gastric cancer, the GBDT model was utilized, with key features comprising pTNM, Borrmann type IV disease, lymphocyte (LYM), lactate dehydrogenase (LDH), potassium (K), perineural invasion (PNI), tumor size, and whole stomach location. Risk stratification analysis revealed that the prognosis of high-risk patients was significantly worse than that of low-risk patients.ConclusionMachine learning shows great potential in predicting survival outcomes of gastric cancer patients, providing strong support for the development of personalized treatment plans.

Initial Assessment of Resectability of Colorectal Cancer Liver Metastases Versus Clinical Outcome

BackgroundSurgery improves long-term survival for resectable, liver-only metastatic colorectal cancer (mCRC). With no consensus definition of “resectable” disease, decisions regarding resectability are reliant on the expertise and judgement of the treating clinician working in consultation with a multidisciplinary team (MDT). This study examines the clinical outcome versus initial assessment of resectability in an Australian population with mCRC. Patients and MethodsPatients with liver-only mCRC diagnosed January 2009 to December 2022 were identified from the Treatment of Recurrent and Advanced Colorectal Cancer (TRACC) registry. Patients were classified based on prospectively documented treatment assessment as “resectable,” “potentially resectable,” or “unresectable.” The correlation between initial assessment of resectability and clinical outcome, and any impact of clinicopathologic factors were examined. Kaplan-Meier analysis assessed overall survival based on initial resectability assessment and resection status. Results: Of 4437 patients with mCRC identified through TRACC, 1250 (28%) had liver-only disease at presentation, with 497 (43%), 277 (24%), and 374 (33%) classified as “unresectable,” “potentially resectable,” and “resectable,” respectively. In total, 516 (41%) ultimately underwent surgical resection, including 30 (6%) of the “initially unresectable,” 148 (53%) of the “potentially resectable,” and 338 (90%) of the “resectable” at a median of 9.5, 5.9, and 2.4 months from the diagnosis of liver metastases, respectively. Resection in the “unresectable” patient population was associated with younger age (mean age 63 vs. 69, P = .0006), better performance status (ECOG 0-1 100% vs. 74%, P = .0017), and fewer comorbidities (Charlson index 0-3 in 73% vs. 53%, P = .0296) compared with no resection. Median overall survival was longer for resected versus nonresected patients across all categories: “unresectable” (59.2 vs. 17.6 months, P < .0001), “potentially resectable” (57.2 vs. 22.8 months, P < .0001), and “resectable” (108 vs. 55 months, P < .0001). ConclusionsThis real-world study demonstrates the potential for “initially unresectable” patients to become surgical candidates following systemic therapy, more likely in younger and fitter patients, with overall excellent survival outcomes in resected patients. This highlights the value of routine, repeated MDT assessments for patients with liver-only disease who are continuing to respond to systemic therapy, even for those initially considered never to be surgical candidates.

Integrating Biomarker Testing into EHR Systems: Implications for the Laboratory Based on Findings from a Multistakeholder Summit

Abstract Introduction/Objective Guideline-driven tumor biomarker testing remains standard of care for precision oncology due to the increasing number of treatment decisions that can be made based on tumor-specific alterations. However, most electronic health record (EHR) systems lack bidirectional interfaces with labs that enable computerized order entry and tumor biomarker testing results. Without these integrations, cancer centers may experience delays in test ordering and resulting, manual data entry errors, and operational inefficiencies that impact patient care and survival outcomes. Methods/Case Report To explore how cancer centers, hospitals, oncology practices, and labs integrate EHRs to streamline cancer biomarker testing processes, the Association of Cancer Care Centers (ACCC), in partnership with LUNGevity, convened a multistakeholder summit on Oct. 4, 2023. The summit brought together clinicians, pathologists, genetic counselors, and administrators to discuss practical solutions to issues surrounding interoperability, clinical workflows, and access to clinical data. Results (if a Case Study enter NA) Key findings from the summit include: -EHR-integrated orders and results save time, reduce errors, and streamline clinical workflow. These electronic interfaces enable clear communication between multidisciplinary teams system-wide and ensure that required patient information is readily available at the time of therapy planning. -Standardized workflows that define test ordering, tracking, and resulting protocols for in-house and send-out testing offer important downstream benefits. Staff should clearly understand how specimens are handled for in-house and send-out testing. -Integrations should be planned and built based on the EHR/laboratory information systems (LIS) in place can incorporate solutions to integrate with reference labs using HL7 standards and/or add-on modules to enable discrete genomic data elements. Conclusion Clinicians, pathologists, and administrators should prioritize EHR/LIS integrations to enable more effective cancer biomarker test ordering and resulting. These pre/post-analytic processes have significant implications for patient care. Findings from this summit can enable cancer programs and labs to evaluate current processes, work collaboratively to build integrations, and streamline biomarker testing workflows to enhance the quality and efficiency of delivering precision oncology.

Global Leadership Initiative on Malnutrition Criteria and Immunonutritional Status Predict Chemoadherence and Survival in Stage II/III Gastric Cancer Treated with XELOX Chemotherapy.

Adjuvant chemotherapy is crucial for the treatment of advanced gastric cancer. However, various factors negatively impact chemoadherence, with malnutrition after gastrectomy being a critical determinant. This study aims to analyze the impact of malnutrition, assessed through the Global Leadership Initiative on Malnutrition (GLIM) and other immunonutritional indices, on chemoadherence and its subsequent effect on survival. This retrospective study included 116 patients who underwent curative gastrectomy and received oxaliplatin and capecitabine (XELOX). Preoperative nutritional status was assessed using the GLIM criteria along with other immunonutritional indices, such as the prognostic nutritional index (PNI), C-reactive protein-to-albumin ratio (CAR), neutrophil-lymphocyte ratio (NLR), controlling nutritional status (CONUT) score, and modified Glasgow Prognostic Score (mGPS). Chemotherapy adherence was measured using relative dose intensity (RDI). Statistical analyses included least absolute shrinkage and selection operator (LASSO) regression to identify the key predictors of RDI and Cox proportional hazards models and assess the impact on survival. Overall, 116 patients were included in this analysis. In the multivariate analysis using LASSO regression, higher GLIM severity was independently associated with a lower RDI (coefficient = -0.0216; p < 0.01). Other significant factors influencing RDI included older age (p < 0.01), female sex (p = 0.02), higher mGPS (p = 0.03), higher CONUT score (p = 0.04), and higher CAR (p = 0.05), all of which were associated with a lower RDI. The Cox proportional hazards analysis revealed that higher RDI was significantly associated with better survival (hazard ratio [HR] = 0.06; p < 0.005). This study highlights the critical role of immunonutritional status, particularly as measured using the GLIM criteria, in maintaining adherence to chemotherapy and improving survival outcomes in patients with gastric cancer. Routine preoperative nutritional assessments using GLIM can help identify high-risk patients, and early nutritional interventions may improve chemotherapy adherence and outcomes. These findings support the integration of nutritional strategies, specifically targeting those identified by the GLIM, into standard care to enhance the efficacy and survival of chemotherapy.

Obesity and survival in advanced non-small cell lung cancer patients treated with chemotherapy, immunotherapy, or chemoimmunotherapy: a multicenter cohort study

BackgroundThe association of body mass index (BMI) with survival outcomes in patients with advanced non-small cell lung cancer (NSCLC) treated with first-line chemotherapy, immunotherapy, or chemoimmunotherapy is controversial. We aimed to investigate these associations, including associations in male and female patients specifically, in a multicenter cohort study.MethodsWe retrospectively analyzed data from seven cohorts comprising 7021 advanced non-small cell lung cancer patients who received chemotherapy (three cohorts), immunotherapy (two cohorts), and chemoimmunotherapy (two cohorts) from five data sources, including a de-identified nationwide (US-based) NSCLC clinico-genomic database and two randomized, double-blind, phase 3 clinical trials. BMI was categorized as underweight, normal weight, overweight, or obese. Underweight patients were excluded because of their small proportion. The primary endpoints were the associations between BMI and progression-free survival (PFS) and overall survival (OS) stratified by treatment type and sex, which were assessed using Kaplan–Meier methods and adjusted Cox modeling. Meta-analyses were performed to combine the adjusted hazard ratios.ResultsIn the pooled analysis, obesity was significantly associated with improved OS in patients receiving chemotherapy (hazard ratios [HR] = 0.84, 95% confidence interval (CI) 0.76–0.93), but there was no association with PFS (HR = 0.91, 95% CI 0.82–1.02). The association of BMI with OS for patients receiving chemotherapy differed by sex, with an inverse association in men (HR = 0.74, 95% CI 0.64–0.84), but no association observed in women (HR = 0.96, 95% CI 0.81–1.13, Pinteraction = 0.018). No impact of BMI on OS or PFS was detected in patients receiving immunotherapy or chemoimmunotherapy. Obese patients had the lowest level of tumor mutational burden, similar level of programmed death-ligand 1 expression and ESTIMATE scores.ConclusionsObesity may be associated with an increased overall survival among male patients treated with chemotherapy, whereas not associated with the outcomes in patients treated with immunotherapy or chemoimmunotherapy.

Clinical characteristics and survival outcomes of patients with primary central nervous system lymphoma treated with high-dose methotrexate-based polychemotherapy and consolidation therapies

Given the rarity of primary central nervous system lymphoma (PCNSL), evaluations of different high-dose methotrexate-(HD-MTX)-based treatment regimens is sparse. This retrospective, multicenter study evaluates clinical characteristics and outcomes (progression-free, overall and disease-specific survival) after five HD-MTX-based polychemotherapeutic regimens and two consolidation therapies. 346 patients with histologically confirmed PCNSL, treated with ≥ 1 cycle HD-MTX-based strategies (≥3g/m2/cycle) were included. The regimens included MATRIX (HD-MTX, HD-AraC, thiotepa, and rituximab), (R)MBVP±HD-AraC (HD-MTX, teniposide/etoposide, carmustine, prednisolone, ± HD-AraC, ± rituximab), (R)MP (HD-MTX, procarbazine, ± rituximab), and a combination of HD-MTX and HD-AraC. The overall response rate after induction was 69 %, 28 % complete remission and progressive disease was observed in 100 (29 %) patients. 126 (36 %) patients received consolidation, including high-dose-BCNU-thiotepa with autologous stem cell transplantation (HD-BCNU-TT/ASCT, n = 59 (17 %)) or whole brain radiotherapy (WBRT, n = 67 (19 %)). Clinical characteristics associated with adverse mortality risk by multivariable prognostication contained age > 60 years (HR 1.61, p = 0.011), elevated LDH (HR 1.75, p = 0.004) and WHO status ≥ 2 (HR 1.56, p = 0.010). Independently, induction regimens containing HD-AraC demonstrated survival benefit compared to induction regimens without HD-AraC (HR 0.59, p = 0.002). Without preference for HD-BCNU-TT/ASCT or WBRT, a favorable effect of consolidation (HR 0.44 and HR 0.42, p < 0.001) was confirmed, also with consolidation as time-dependent variable. Competing risk analysis showed similar low incidence of lymphoma-unrelated deaths in consolidated and unconsolidated patients. This study confirms that age, elevated LDH and WHO status increase the mortality risk. HD-AraC containing treatment regimens and consolidation with HD-BCU-TT/ASCT or WBRT were associated with superior survival, including a favorable low incidence of lymphoma-unrelated deaths.

Analysis of postoperative complications and long term survival following radical gastrectomy for patients with gastric cancer

This study aimed to analyze the complications and long-term survival outcomes in patients who underwent radical gastrectomy for gastric cancer, as well as to identify the risk factors associated with postoperative complications. After conducting a comprehensive search within the medical records system, a total of 2508 patients who underwent radical gastrectomy and met the inclusion criteria were enrolled. Of the 2508 patients, 301 were diagnosed with postoperative complications. The pathological data, postoperative recovery, and survival outcome were compared between complication and control group. Subsequently, univariate and multivariate logistic regression analyses were conducted to identified the risk factors. According to the Clavien-Dindo grading criteria for postoperative complications, the proportions of grade I, II, III, IV, and V complications following radical gastrectomy were observed to be 28.2%, 42.9%, 19.6%, 8.0%, and 1.3%, respectively. The presence of postoperative complications significantly prolonged the duration of gastrointestinal decompression (P < 0.001), catheter retention (P < 0.001), fasting (P < 0.001), and hospitalization (P < 0.001). Additionally, it had a detrimental impact on survival outcomes. Age > 65years [odds ratio (OR) = 1.378, P = 0.020], presence of diabetes (OR = 2.042, P < 0.001), operative duration > 215 min (OR = 1.450, P = 0.006), intraoperative blood loss > 275 ml (OR = 1.474, P = 0.004), and Roux-en-Y anastomosis for both whole stomach (OR = 1.567, P = 0.021) and distal gastric cancer (OR = 2.083, P = 0.003) were identified as independent risk factors for postoperative complications. This study analyzed the complications and survival outcomes following radical gastrectomy, and investigated the predictors for postoperative complications, thereby providing valuable guidance on the prevention and management of surgical complications in gastric cancer.