Influence Patient Survival Research Articles

The impact of diabetes mellitus on short and long term outcomes in patients with gastric cancer following radical surgery: a retrospective cohort study with propensity score matching

BackgroundThe objective of this study was to analyze the impact of diabetes mellitus (DM) on short and long term outcomes following radical gastrectomy using propensity score matching (PSM) method, as well as to further investigate the factors influencing patient survival post-radical gastrectomy.MethodsThe patients who underwent radical gastrectomy for gastric cancer (GC) between January 2011 and December 2015 were selected as study population, and PSM procedure was conducted with a matching ratio of 1:3 between the DM and non-DM groups. The short-term recovery and long-term survival outcomes were compared between the DM and non-DM group. Subsequently, univariate and multivariate COX regression analyses were conducted to further explore the factors that influence survival outcomes.ResultsAmong the cohort of 2508 GC patients who underwent radical surgery prior to PSM, a total of 295 (11.8%) individuals were diagnosed with DM. After conducting 1:3 PSM, 293 DM patients and 821 control patients were enrolled. The results of comparative analysis revealed that the DM group exhibited a significantly higher rate of overall complications (P < 0.001), grade III-V complications (P = 0.010), and prolonged hospitalization (P = 0.001) compared to the control group. However, no statistical difference was observed in survival outcomes between the two groups. Besides, age > 65years (P < 0.001), BMI < 18.5 kg/m2 (P = 0.001), tumor size > 5 cm (P < 0.001), higher T (P = 0.012) and N tumor stage (P < 0.001), and the occurrence of severe complications (P = 0.007) were identified as independent risk factors for overall survival (OS).ConclusionsThe presence of combined DM in GC patients can heighten the susceptibility to postoperative complications and protract the duration of postoperative recovery, while exerting no significant impact on OS. This study also explored the predictors for OS, thereby providing valuable guidance for the perioperative management and postoperative monitoring.

Impact of nutrition-related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol.

This study aimed to understand the collective impact of trace elements, vitamins, cholesterol, and prealbumin on patient outcomes in the intensive care unit (ICU) using an advanced artificial intelligence (AI) model for mortality prediction. Data from ICU patients (December 2016 to December 2021), including serum levels of trace elements, vitamins, cholesterol, and prealbumin, were retrospectively analyzed using AI models. Models employed included category boosting (CatBoost), extreme gradient boosting (XGBoost), light gradient boosting machine (LGBM), and multilayer perceptron (MLP). Performance was evaluated using area under the receiver operating characteristic curve (AUROC), accuracy, precision, recall, and F1-score. The performance was evaluated using 10-fold crossvalidation. The SHapley Additive exPlanations (SHAP) method provided interpretability. CatBoost emerged as the top-performing individual AI model with an AUROC of 0.756, closely followed by LGBM, MLP, and XGBoost. Furthermore, the ensemble model combining these four models achieved the highest AUROC of 0.776 and more balanced metrics, outperforming all models. SHAP analysis indicated significant influences of prealbumin, Acute Physiology and Chronic Health Evaluation II score, and age on predictions. Notably, the ratios of selenium to age and low-density lipoprotein to total cholesterol also had a notable impact on the models' output. The study underscores the critical role of nutrition-related parameters in ICU patient outcomes. Advanced AI models, particularly in an ensemble approach, demonstrated improved predictive accuracy. SHAP analysis offered insights into specific factors influencing patient survival, highlighting the need for broader consideration of these biomarkers in critical care management.

Integrated Analysis of Serum and Tissue microRNA Transcriptome for Biomarker Discovery in Gastric Cancer.

Gastric cancer (GC) poses a significant global health challenge, demanding a detailed exploration of its molecular landscape. Studies suggest that exposure to environmental pollutants can lead to changes in microRNA (miRNA) expression patterns, which may contribute to the development and progression of GC. MiRNAs have emerged as crucial regulators implicated in GC pathogenesis. The largest GC serum miRNA dataset to date, comprising 1417 non-cancer controls and 1417 GC samples was used. We conducted a comprehensive analysis of miRNA expression profiles. Differential expression analysis, co-expression network construction, and machine learning models were employed to identify key serum miRNAs and their association with clinical parameters. Weighted Gene Co-expression Network Analysis (WGCNA) and immune infiltration analysis were used to validate the importance of the key miRNA. A total of 1766 differentially expressed miRNAs were identified, with miR-1290, miR-1246, and miR-451a among the top up-regulated, and miR-6875-5p, miR-6784-5p, miR-1228-5p, and miR-6765-5p among the top down-regulated. WGCNA revealed that modules M1 and M5 were significantly associated with GC subtypes and disease status. MiRNA-target gene network analysis identified prognostically significant genes TP53, EMCN, CBX8, and ALDH1A3. Machine learning models LASSO, SVM, randomforest, and XGBOOST demonstrated the diagnostic potential of miRNA profiles. Tissue and serum miR-187 emerged as an independent prognostic factor, influencing patient survival across clinical parameters. Gene expression and immune cell infiltration were different in tissues stratified by miR-187 expression. In summary, the integration of differential gene expression, co-expression analysis, and immune cell profiling provided insights into the molecular intricacies of GC progression.

Is surgery without curettage effective for periacetabular Metastasis? Insights from a survival study of 93 patients

BackgroundThe main aim of this study was to analyse the 6-month survival rates in peri-acetabular metastasis patients undergoing total hip arthroplasty (THA) with an acetabular cage and without curettage. The secondary objectives were to analyse the global survival rates, the factors influencing patient survival and to evaluate mechanical complication rates after THA. MethodsThis study was carried out on a cohort of 93 consecutive patients who underwent THA with an acetabular cage without curettage for acetabular metastasis or multiple myeloma lesions between 2010 and 2020. The National Death Registry was consulted to obtain the exact date of death of the patients; the minimum follow-up time was 2 years. ResultsThe 6-month survival rate for all types of cancer was 78 % [68 – 85], the 1-year survival rate was 66 % [55 – 74], and the 5-year survival rate was 26 % [17 – 36]. The median overall survival for the cohort was 24.37 months [16.10 – 32.63]. The mean overall survival was 46.02 months [32.89 – 59.16]. At last contact, 86 % of the operated patients were walking again.No patient died from surgery. The ECOG performance status score, the number of bone metastatic sites, the presence of visceral metastases and the number of lines of systemic therapy undertaken prior to surgery were negative survival factors. Three patients (3.2 %) had early prosthetic dislocation, 2 patients (2.2 %) showed aseptic loosening of her partial hip implant after 10 and 11 years respectively and 4 patients (4.3 %) had an early infection treated by debridement, antibiotics and implant retention to control the infection. During the follow-up period, no new femoral metastases were detected in any patient. ConclusionSurgery without curettage is an effective treatment for periacetabular metastasis. It gives reliable results, regardless of the type of acetabular lesion, allowing most patients to walk again and does not modify the patient’s survival.

500. PRIMARY ESOPHAGEAL LYMPHOMA: UNDERSTANDING PROGNOSTIC FACTORS AND OUTCOMES

Abstract Background Primary Esophageal Lymphoma (PEL) represents a rare subtype of gastrointestinal lymphomas, posing unique diagnostic and therapeutic challenges. Given its rarity, comprehensive insights into its prognostic factors and outcomes remain limited. This study examines the epidemiology, treatment modalities, and outcomes of PEL, aiming to identify significant prognostic factors that influence patient survival. Methods A systematic review of the literature was conducted across PubMed/Medline and Scopus databases, focusing on cases of adult PEL. Data extraction included demographic information, treatment modality, and patient outcomes. Survival rates were calculated, and prognostic factors were analyzed through unifactorial analysis. Results Out of 56 studies, 69 cases of PEL were analyzed, with a male-to-female ratio of 2.8:1 and mean age of 55.5 years. Patients were predominantly treated with chemotherapy (52.1%) while 20% underwent surgical treatment. The mean survival reported was 49.3 months with one-, three-, and five-year survival rates of 84.5%, 72.3%, and 28.9%, respectively, exhibiting a less favorable prognosis compared to common lymphoma types. Survival analysis revealed that local lymphadenopathy had a significant impact on prognosis (p=0.008), while gender, age, treatment approach, and type of lymphoma were not significant determinants of survival. Immunocompromised status showed a marginally significant effect on survival (p= 0.053). Discussion The study highlights the less favorable prognosis of PEL compared to more common lymphomas, emphasizing the importance of recognizing patients with unfavorable prognostic factors such as local lymphadenopathy and immunocompromised status. The findings advocate for the establishment of an international patient registry to better understand and manage PEL, aiming to standardize diagnostic criteria and treatment strategies.

Genes Co-Expressed with ESR2 Influence Clinical Outcomes in Cancer Patients: TCGA Data Analysis.

ERβ has been assigned a tumor suppressor role in many cancer types. However, as conflicting findings emerge, ERβ's tissue-specific expression and functional role have remained elusive. There remains a notable gap in compact and comprehensive analyses of ESR2 mRNA expression levels across diverse tumor types coupled with an exploration of its potential gene network. In this study, we aim to address these gaps by presenting a comprehensive analysis of ESR2 transcriptomic data. We distinguished cancer types with significant changes in ESR2 expression levels compared to corresponding healthy tissue and concluded that ESR2 influences patient survival. Gene Set Enrichment Analysis (GSEA) distinguished molecular pathways affected by ESR2, including oxidative phosphorylation and epithelial-mesenchymal transition. Finally, we investigated genes displaying similar expression patterns as ESR2 in tumor tissues, identifying potential co-expressed genes that may exert a synergistic effect on clinical outcomes, with significant results, including the expression of ACIN1, SYNE2, TNFRSF13C, and MDM4. Collectively, our results highlight the significant influence of ESR2 mRNA expression on the transcriptomic landscape and the overall metabolism of cancerous cells across various tumor types.

Risk and mediation analyses of hemoglobin glycation index and survival prognosis in patients with sepsis

An increasing number of studies have reported the close relation of the hemoglobin glycation index (HGI) with metabolism, inflammation, and disease prognosis. However, the prognostic relationship between the HGI and patients with sepsis remains unclear. Thus, this study aimed to analyze the association between the HGI and all-cause mortality in patients with sepsis using data from the MIMIC-IV database. In this study, 2605 patients with sepsis were retrospectively analyzed. The linear regression equation was established by incorporating glycated hemoglobin (HbA1c) and fasting plasma glucose levels. Subsequently, the HGI was calculated based on the difference between the predicted and observed HbA1c levels. Furthermore, the HGI was divided into the following three groups using X-tile software: Q1 (HGI ≤ − 0.50%), Q2 (− 0.49% ≤ HGI ≤ 1.18%), and Q3 (HGI ≥ 1.19%). Kaplan–Meier survival curves were further plotted to analyze the differences in 28-day and 365-day mortality among patients with sepsis patients in these HGI groups. Multivariate corrected Cox proportional risk model and restricted cubic spline (RCS) were used. Lastly, mediation analysis was performed to assess the factors through which HGI affects sepsis prognosis. This study included 2605 patients with sepsis, and the 28-day and 365-day mortality rates were 19.7% and 38.9%, respectively. The Q3 group had the highest mortality risk at 28 days (HR = 2.55, 95% CI: 1.89–3.44, p < 0.001) and 365 days (HR = 1.59, 95% CI: 1.29–1.97, p < 0.001). In the fully adjusted multivariate Cox proportional hazards model, patients in the Q3 group still displayed the highest mortality rates at 28 days (HR = 2.02, 95% CI: 1.45–2.80, p < 0.001) and 365 days (HR = 1.28, 95% CI: 1.08–1.56, p < 0.001). The RCS analysis revealed that HGI was positively associated with adverse clinical outcomes. Finally, the mediation effect analysis demonstrated that the HGI might influence patient survival prognosis via multiple indicators related to the SOFA and SAPS II scores. There was a significant association between HGI and all-cause mortality in patients with sepsis, and patients with higher HGI values had a higher risk of death. Therefore, HGI can be used as a potential indicator to assess the prognostic risk of death in patients with sepsis.

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

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. 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. 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). 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.

Effect of Flow Cytometric MRD Detection at Different Time Points during AML Chemotherapy on Prognosis

To investigate the effect of flow cytometric minimal residual disease (MRD) detection at different time points during AML chemotherapy on prognosis. 130 adult primary AML patients diagnosed and standardized with chemotherapy from March 2018 to March 2022 were retrospectively analyzed, MRD was detected by flow cytometry, Kaplan-Meier curves was used for survival analysis and log-rank test was used for variance analysis, and univariate and multifactor influencing patient survival with COX proportional risk regression model analysis. Cumulative incidence rate (CIR) analysis with competing risk model and variance analysis using Fine-Gray. There were 81 CR1, 26 CR2, 14 PR, and 9 NR patients in 130 patients. OS of the CR1 group was higher than that in the CR2, PR,and NR groups. OS of the CR2 group was higher than that in the PR group, but there was no statistically difference compared to the NR group. There was no statistically difference in OS between the PR and NR groups. 107 patients in CR1 and CR2 were grouped according to MRD detected by flow cytometry, and after the first induction chemotherapy, for patients in the MRD- and MRD+ groups, the 4-year expected RFS rates were 65.3% and 27.9% respectively, the 4-year expected OS rates were 58.7% and 41.4% respectively, and the 4-year expected CIR were 34.7% and 69.7% respectively, with statistically significant differences between 2 groups (χ2=6.639, P =0.010; χ2=6.131, P =0.013 and χ2=6.637， P =0.010). After the second chemotherapy, for patients in the MRD- and MRD+ groups, the 4-year expected RFS rates were 50.8% and 37.9% respectively, the 4-year expected OS rates were 49.2% and 44.5% respectively, and the 4-year expected CIR were 49.2% and 59.5% respectively, with no statistically significant differences between 2 groups (χ2=1.475, P =0.225; χ2=2.432, P =0.119 and χ2=1.416， P =0.234). During consolidation therapy, for patients in the MRD - and MRD+ groups, the 4-year expected RFS rates were 51.9% and 29.6% respectively, the 4-year expected OS rates were 67.5% and 24.6% respectively, and the 4-year expected CIR were 48.1% and 70.4% respectively, with statistically significant differences between 2 groups (χ2=20.982, P < 0.001; χ2=17.794, P < 0.001 and χ2=19.879， P < 0.001). For patients with MRD- at all three time points and positive at either time point, the 4-year expected RFS rates were 69.9% and 33.3% respectively, the 4-year expected OS rates were 59.1% and 44.7% respectively, and the 4-year expected CIR were 30.1% and 65.1% respectively, with statistically significant differences between 2 groups (χ2=7.367, P =0.007; χ2=6.042, P =0.014 and χ2=7.662， P =0.006). Univariate analysis showed that karyotype at high risk of chromosome was an unfavorable factor affecting patients' RFS and OS, while 2 cycles of induction chemotherapy achieved CR, MRD- after the first induction chemotherapy and MRD- after the second induction chemotherapy was a protective factor affecting patients' RFS and OS. MRD- during consolidation therapy and MRD- at all three time points were all protective factors affecting patients' RFS, OS and CIR. Multivariate analysis showed that induction chemotherapy for 2 cycles achieved CR was a protective factor affecting patients' RFS and CIR, and MRD- during consolidation therapy was a protective factor affecting patients' RFS, OS and CIR. Early achievement of CR and MRD- in adult AML patients, especially MRD- during consolidation therapy, is a marker of good prognosis, and flow cytometry is the most commonly used method for MRD detection in AML patients.

Retrospective Analysis of Glioblastoma Outcomes.

This retrospective mono-center study focuses on 144 cases of glioblastoma treated over a time span of 12 years in our clinic in Romania. We offer critical insight into the dreadful aspect of this tumor by highlighting the principal characteristics such as localization, the genetic information of each case, progression-free survival (PFS), and overall survival (OS). A tenth of our patients underwent a second surgical procedure, providing a comparable OS to the other part of our study group, proving that surgical treatment as salvage therapy is a viable option. Also, our research reinforces the fact that utilizing the Karnofsky Performance Scale is a great predictor of patient outcomes in glioblastoma patients. Even though radiotherapy and chemotherapy have mild effects in the context of this oncological disease, our research shows that O6-methylguanine-DNA methyltransferase (MGMT) methylation status and epidermal growth factor receptor (EGFR) amplification have an important effect on OS. Moreover, the particularity of our study, that our patients did not start adjuvant therapy right after surgery, highlighted by a low OS compared to the international literature, sheds light on the fact that chemotherapy and radiotherapy must be started right after the surgical procedure, according to the Stupp protocol. To sum up, our research takes into consideration the factors that influence patient survival and outcome in the battle against glioblastoma.

Survey of long term survivors of oral cancer: Looking beyond cancer biology.

6087 Background: While surgery is the main stay of treatment for early stage oral cancers, advanced stages require adjuvant treatments in the form of radiotherapy or concurrent radiotherapy. Yet, the effectiveness of these interventions is not solely determined by clinical measures but also by personal factors such as individual motivation, support from loved ones, and financial security. These aspects might explain the survival rate variations among patients who, despite having similar prognostic categories and stages of disease, show differing outcomes. The role of social determinants in influencing patient survival, apart from the acknowledged impact of disease biology, is not well understood. Methods: All treatment-naive oral cavity cancer patients who underwent definitive treatment during 2014 to 2018 at our institute and are alive for more than five years were selected for this study. A custom investigator-administered questionnaire was developed and it had 32 questions under six domains- personal, habit history, financial, social, functional, and emotional. The study was approved by the institutional ethics committee. Of the 1787 potential participants, we found that 219 had expired, only 442 patients agreed to answer the questionnaire, while 45 refused to participate. The rest of the patients were not reachable telephonically. Results: This survey had 442 patients, of which 90% were males, with a mean age of 52.1 years. The most common site of the presentation was buccal mucosa (60%), and 59% presented in the locally advanced stage. Post-operatively, 71% received adjuvant therapy. All patients were motivated to undergo the radical treatments and had their family support. However, post-treatment, about 10% of individuals experienced a change in marital status. Financial constraints did affect 20% of patients during and after treatment, and more than 70% had their out-of-pocket expenditure above 50% of the total cost. While 80% did not have trouble attending social functions, 46% reported trouble eating socially. However, this was more common for patients who received adjuvant treatment (p &lt; 0.001). About 21% reported shoulder dysfunction and body discomfort. However, no statistically significant associations could be drawn for any of the domains of the questionnaire when compared to patients between the early and late stages. Shoulder discomfort was experienced more by patients who were treated for tongue cancer (p-value 0.010). Conclusions: The results of this study shed light on the challenges faced by long-term survivors of oral cancer following radical treatment regimens. More than half of patients reported that out-of-pocket expenses constituted more than half of their total treatment costs. A notable minority of people suffer from shoulder dysfunction, suggesting there is a clear opportunity for advancements in reconstruction and rehabilitation.

Enhancing cisplatin drug sensitivity through PARP3 inhibition: The influence on PDGF and G-coupled signal pathways in cancer

Drug resistance poses a significant challenge in cancer treatment despite the clinical efficacy of cisplatin. Identifying and targeting biomarkers open new ways to improve therapeutic outcomes. In this study, comprehensive bioinformatic analyses were employed, including a comparative analysis of multiple datasets, to evaluate overall survival and mutation hotspots in 27 base excision repair (BER) genes of more than 7,500 tumors across 23 cancer types.By using various parameters influencing patient survival, revealing that the overexpression of 15 distinct BER genes, particularly PARP3, NEIL3, and TDG, consistently correlated with poorer survival across multiple factors such as race, gender, and metastasis. Single nucleotide polymorphism (SNP) analyses within protein-coding regions highlighted the potential deleterious effects of mutations on protein structure and function. The investigation of mutation hotspots in BER proteins identified PARP3 due to its high mutation frequency.Moving from bioinformatics to wet lab experiments, cytotoxic experiments demonstrated that the absence of PARP3 by CRISPR/Cas9-mediated knockdown in MDA-MB-231 breast cancer cells increased drug activity towards cisplatin, carboplatin, and doxorubicin. Pathway analyses indicated the impact of PARP3 absence on the platelet-derived growth factor (PDGF) and G-coupled signal pathways on cisplatin exposure.PDGF, a critical regulator of various cellular functions, was downregulated in the absence of PARP3, suggesting a role in cancer progression. Moreover, the influence of PARP3 knockdown on G protein-coupled receptors (GPCRs) affects their function in the presence of cisplatin.In conclusion, the study demonstrated a synthetic lethal interaction between GPCRs, PDGF signaling pathways, and PARP3 gene silencing. PARP3 emerged as a promising target.

Effect of different preoperative nutritional treatments on postoperative recovery and clinical outcomes in patients with gastric cancer and early gastric outlet obstruction.

Patients with gastric cancer and early gastric outlet obstruction often experience malnutrition and require various nutritional support strategies. This study aimed to evaluate the impact of different preoperative nutritional treatments on their postoperative recovery and prognosis. The present retrospective study collected data from 467 patients with gastric cancer and early gastric outlet obstruction who underwent surgery at Harbin Medical University Cancer Hospital (Harbin, China) between January 2016 and December 2018. All patients received preoperative nutritional treatment, with a mean treatment duration of 8.23±2.33 days. The present study analyzed associations and survival in different groups using χ2, independent-samples t-test, ANOVA and log-rank tests. Furthermore, single- and multi-factor survival analyses were conducted and nomograms and calibration curves constructed to investigate factors influencing patient survival. In this study, 230 patients (49.3%) received only parenteral nutrition (PN; Group 1), 162 patients (34.7%) received PN combined with enteral nutrition (EN; Group 2) and 75 patients (16.0%) received PN combined with a full- or semi-liquid diet (Group 3). No significant differences in clinical and pathological parameters were observed among the groups. However, Group 2 showed significant advantages in postoperative recovery, including faster time to first postoperative bowel sounds, flatus and bowel movement. Survival analysis indicated that Group 3 had shorter progression-free survival (χ2=30.485) and overall survival (χ2=31.249). Preoperative nutritional treatment was identified as an independent prognostic factor. Preoperative PN combined with EN proved advantageous for postoperative recovery of patients with gastric cancer and early gastric outlet obstruction. Furthermore, PN combined with full- or semi-liquid diets may not have fully met the nutritional needs of these patients, resulting in less favorable clinical outcomes.

Intraoperative Ketorolac and Outcomes after Ovarian Cancer Surgery.

Surgery is the cornerstone of ovarian cancer treatment. However, surgery and perioperative inflammation have been described as potentially pro-metastagenic. In various animal models and other human cancers, intraoperative administration of non-steroidal anti-inflammatory drugs (NSAIDs) appears to have a positive impact on patient outcomes. In this unicentric retrospective study, we provide an exploratory analysis of the safety and potential benefit of intraoperative administration of ketorolac on the outcome of patients undergoing surgery for ovarian cancer. The study population included all patients who were given a diagnosis of ovarian, fallopian tube or peritoneal cancer by the multidisciplinary oncology committee (MOC) of the Cliniques universitaires Saint-Luc between 2015 and 2020. We included 166 patients in our analyses, with a median follow-up of 21.8 months. Both progression-free survival and overall survival were superior in patients who received an intraoperative injection of ketorolac (34.4 months of progression-free survival in the ketorolac group versus 21.5 months in the non-ketorolac group (p = 0.002), and median overall survival was not reached in either group but there was significantly higher survival in the ketorolac group (p = 0.004)). We also performed subgroup analyses to minimise bias due to imbalance between groups on factors that could influence patient survival, and the group of patients receiving ketorolac systematically showed a better outcome. Uni- and multivariate analyses confirmed that administration of ketorolac intraoperatively was associated with better progression-free survival (HR = 0.47 on univariate analysis and 0.43 on multivariate analysis, p = 0.003 and 0.023, respectively). In terms of complications, there were no differences between the two groups, either intraoperatively or postoperatively. Our study has shown a favourable association between the use of ketorolac during surgery and the postoperative progression of ovarian cancer in a group of 166 patients, without any rise in intra- or postoperative complications. These encouraging results point to the need for a prospective study to confirm the benefit of intraoperative administration of ketorolac in ovarian cancer surgery.

Association of BRAF V600E Mutant Allele Proportion with the Dissemination Stage of Papillary Thyroid Cancer.

The early identification of aggressive forms of cancer is of high importance in treating papillary thyroid cancer (PTC). Disease dissemination is a major factor influencing patient survival. Mutation status of BRAF oncogene, BRAF V600E, is proposed to be an indicator of disease recurrence; however, its influence on PTC dissemination has not been deciphered. This study aimed to explore the association of the frequency of BRAF V600E alleles in PTC with disease dissemination. In this study, 173 PTC samples were analyzed, measuring the proportion of BRAF V600E alleles by qPCR, which was then normalized against the proportion of tumor cells. Semiquantitative analysis of BRAF V600E mutant protein was performed by immunohistochemistry. The BRAF V600E mutation was present in 60% of samples, while the normalized frequency of mutated BRAF alleles ranged from 1.55% to 92.06%. There was no significant association between the presence and/or proportion of the BRAF V600E mutation with the degree of PTC dissemination. However, the presence of the BRAF mutation was significantly linked with angioinvasion. This study's results suggest that there is a heterogeneous distribution of the BRAF mutation and the presence of oligoclonal forms of PTC. It is likely that the BRAF mutation alone does not significantly contribute to PTC aggressiveness.

An investigation of the COVID-19 impact on liver cancer using exploratory and predictive analytics

This study presents the influence of COVID-19 and the pandemic on individuals diagnosed with hepatocellular carcinoma and intrahepatic cholangiocarcinoma, the two most common types of primary liver cancer. The study compares the effects before and after the pandemic on these patients. Additionally, it endeavors to predict the likelihood of survival for liver cancer patients. Our research will employ various methodologies to investigate this. Exploratory data analysis techniques are utilized, including univariate analysis, correlation analysis, bivariate analysis, chi-square testing, and T-sample testing. For predictive analytics, machine learning algorithms such as Logistic Regression, Decision Trees, Classification And Regression Tree (CART), Artificial Neural Networks (ANN), K-Nearest Neighbors (KNN), and Support Vector Machines (SVMs) will be applied. For our outputs, Logistic Regression and SVMs emerged as top-performing algorithms, boasting a remarkable accuracy rate of 93%. The study reveals that COVID-19 affected all age groups similarly. However, a gender-based difference was observed, indicating that males faced a higher risk of both cancer and mortality. Furthermore, the study found that variables such as year, month, bleeding, cirrhosis, and previously known cirrhosis did not significantly influence patient survival.

Who can benefit from postmastectomy radiotherapy among HR+/HER2- T1-2 N1M0 breast cancer patients? An explainable machine learning mortality prediction based approach.

The necessity of postmastectomy radiotherapy(PMRT) for patients with HR+/HER2 T1-2 N1M0 breast cancer remains controversial. We want to use explainable machine learning to learn the feature importance of the patients and identify the subgroup of the patients who may benefit from the PMRT. Additionally, develop tools to provide guidance to the doctors. In this study, we trained and validated 2 machine learning survival models: deep learning neural network and Cox proportional hazard model. The training dataset consisted of 35,347 patients with HR+/HER2- T1-2 N1M0 breast cancer who received mastectomies from the SEER database from 2013 to 2018. The performance of survival models were assessed using a concordance index (c-index).Then we did subgroup analysis to identify the subgroup who could benefit from PMRT. We also analyzed the global feature importance for the model and individual feature importance for individual survival prediction. Finally, we developed a Cloud-based recommendation system for PMRT to visualize the survival curve of each treatment plan and deployed it on the Internet. A total of 35,347 patients were included in this study. We identified that radiotherapy improved the OS in patients with tumor size >14mm and age older than 54: 5-year OS rates of 91.9 versus 87.2% (radio vs. nonradio, P <0.001) and cohort with tumor size >14mm and grade worse than well-differentiated, 5-year OS rates of 90.8 versus 82.3% (radio vs. nonradio, P <0.001).The deep learning network performed more stably and accurately in predicting patients survival than the random survival forest and Cox proportional hazard model on the internal test dataset (C-index=0.776 vs 0.641) and in the external validation(C-index=0.769 vs 0.650).Besides, the deep learning model identified several key factors that significantly influence patient survival, including tumor size, examined regional nodes, age at 45-49 years old and positive regional nodes (PRN). Patients with tumor size >14mm and age older than 54 and cohort with tumor size >14mm and grade worse than well-differentiated could benefit from the PMRT. The deep learning network performed more stably and accurately in predicting patients survival than Cox proportional hazard model on the internal test. Besides, tumor size, examined regional nodes, age at 45-49 years old and PRN are the most significant factors to the overall survival (OS).

Relationship between mortality and vitality in patients with mild cognitive impairment/dementia: An 8-year retrospective study.

The study aimed to investigate the association of vitality, as measured using the vitality index (Vix), with the survival outcomes of older adults with mild cognitive impairment (MCI) or dementia. We analyzed data from 3731 patients in the National Center for Geriatrics and Gerontology - Life Stories of Individuals with Dementia cohort from July 2010 to September 2018. The main focus was to correlate Vix scores with the time from the initial visit to death. Vix was categorized into "moderately to severely impaired" (0-7 points), "mildly impaired" (8-9 points), and "normal" (10 points) groups. Survival outcomes were assessed using a Cox proportional hazards model, adjusted for various factors. We conducted a mediation analysis to evaluate the effect of body mass index (BMI), instrumental activities of daily living (IADL), and basic activities of daily living (BADL) on the association between vitality and mortality. Stratified analysis was also conducted for the Mini-Mental State Examination groups. We included 2740 patients with an average follow-up of 1315 days. The mortality rate was 15.7%. The Vix distribution was 16% at 0-7 points; 40%, 8-9 points; and 44%, 10 points. Patients in the "moderately to severely impaired" category, characterized by lower Vix scores, exhibited notably higher mortality rates. Mediation effects emphasized the significant roles of BMI, IADL, and BADL in influencing survival outcomes. Vitality significantly influences patient survival rates. The association between vitality and mortality seems to be mediated by IADL and BADL, which has significant clinical implications. Geriatr Gerontol Int 2024; 24: 221-228.

IPCEF1: Expression Patterns, Clinical Correlates and New Target of Papillary Thyroid Carcinoma.

Introduction: Despite the generally favorable prognosis of PTC (Papillary Thyroid Carcinoma), it can still exhibit aggressive behavior and lead to patient mortality. IPCEF1 (interaction protein for cytohesin exchange factors 1) has emerged as a critical player in cell signaling related to proliferation and migration in cancer progression. Objective: Our research aimed to determine whether IPCEF1 is a key gene in PTC, elucidate its possible molecular mechanisms and ultimately search for new targets. Methods: This research utilized four gene expression array datasets and TCGA database to examine the role of IPCEF1 in PTC. Differential gene expression analysis, survival analysis, KEGG and GO enrichment and immune cell infiltration correlations were realized by bioinformatic methods. The expressions of IPCEF1 in PTC tissues were examined by IHC and the proliferation, migration, cell cycles of PTC cells were examined by CCK8, transwell and flow cytometry. Results: IPCEF1 had lower expression in PTC tumor tissues and its lower expression might lead to worse T/N stage and DFS/ PFS, which is perhaps related to its regulation of the JAK/STAT signaling pathway and immune microenvironment (macrophage and Tregs). IPCEF1 reduced the proliferation and migration ability of PTC cells, which is consistent with our clinical observations. Besides, we also found that high expression level of IPCEF1 lead to cell cycle arrest in the S or G2 phase, which ultimately reduced cell growth and proliferation. Conclusion: IPCEF1 is a cancer suppressor gene in the progression of PTC, influencing patient survival and prognosis through modulation of immune infiltration and signaling pathways.

Survival Outcomes in Malignancy-related Hypercalcemia: A Tertiary Care Single-center Experience.

Malignancy-related hypercalcemia is commonly observed in patients with advanced stages of cancer. It is intricately linked with an unfavorable prognosis among oncology patients. This study aimed to evaluate survival outcomes among individuals diagnosed with hypercalcemia associated with malignancy. This retrospective analysis of 173 cancer patients with hypercalcemia who sought treatment at Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan, between July 2019 and June 2020. This cohort of patients underwent a longitudinal follow-up for 2.5 years. To assess survival outcomes, the Kaplan-Meier tool was used to construct survival curves and estimate the survival probability over time. The significance of potential survival factors was evaluated using the log-rank test. All patients exhibited elevated levels of calcium. At admission, the cohort demonstrated varying degrees of hypercalcemia severity attributable to malignancy: Mild hypercalcemia was observed in approximately 61.3% of patients, moderate hypercalcemia in 23.7%, and severe hypercalcemia in 15% of cases. Among the total sample, most patients were female (54.9%), with a median age of 54. The primary tumor site most frequently observed was in cases of breast cancer (35.3%), wherein the prevalent histological subtype was lobular/ductal invasive carcinoma (34.1%). Most of the patients (93.6%) had an Eastern Cooperative Oncology Group (ECOG) performance status (ECOG) >1. In addition, the median overall survival for patients diagnosed with hypercalcemia was 51 days. Notably, there was a significant association between survival factors, including the primary site of malignancy (P = 0.001), bone metastasis (P = 0.04), severity and symptoms of hypercalcemia (P = 0.001), altered mental state (P = 0.001), albumin levels (P = 0.001), and ECOG (P = 0.001). Malignancy-related hypercalcemia in patients with cancer is a significant predictor of an unfavorable prognosis. The aforementioned survival factors may have the potential to influence patient survival outcomes. Further studies on larger cohorts are warranted.