Elevated apolipoprotein B predicts poor postsurgery prognosis in patients with hepatocellular carcinoma.
OncoTargets and therapy
AIMS:To date, curative resection remains to be the most optimal therapeutic choice of hepatocellular carcinoma (HCC), though the overall survival (OS) remains extremely unsatisfactory. To better manage the HCC patients, we evaluated the prognosis predicting values of apolipoprotein B (ApoB) and low-density lipoprotein cholesterol (LDL-C) on the long-time survival of patients who underwent surgical treatment in this study. METHODS:A subgroup of 164 patients from our previously described follow-up cohort were enrolled in this study, of whom the pre-surgery ApoB and LDL-C measurements were available. They had been followed until January 2017, with a 19.5 months median survival time. The prognosis predicting values of serum ApoB, LDL-C, and other clinical variables were evaluated through Cox univariate and multivariate analyses, meanwhile, Kaplan-Meier analysis was conducted to obtain the OS curves. RESULTS:Pre-surgery ApoB was an independent prognosis predicting factor with HR as 1.396 (=0.033), elevated ApoB was associated with worse postsurgery prognosis in HCC patients. Concordantly, Spearman's correlation analysis revealed that value of pre-surgery ApoB was to some extent correlated with tumor size (=0.355, <0.001). In line with this, further univariate and multivariate logistic regression analysis revealed that patients with higher ApoB value were more likely to have larger tumor size (≥5 cm), with the OR value as high as 2.221 (95% CI: 1.288-3.830, =0.004). Additionally, level of ApoB was found to be highly correlated with the serum level of LDL-C (=0.686, <0.001). CONCLUSION:ApoB could be a valuable novel prognosis predicting marker for HCC patients who underwent curative liver resection. Moreover, elevated ApoB level could indicate worse outcome in HCC patients, which could be explained by the relationship between ApoB and residual liver function.
10.2147/OTT.S192631
Inflammation and cholesterol at the crossroads of vascular risk.
Cell metabolism
Although the role of inflammation in atherosclerosis is established, whether this relationship remains important after lowering low-density lipoprotein cholesterol (LDL-C) is still unclear. Recently in The Lancet, Ridker et al. demonstrated that residual inflammatory risk was a stronger predictor of fatal and non-fatal events compared to residual cholesterol risk, supporting the concept of inflammation testing to guide vascular risk reduction.
10.1016/j.cmet.2023.06.011
Association between residual cholesterol and sarcopenia in American adults.
Frontiers in endocrinology
Background:Remnant cholesterol (RC) is a novel lipid metabolism indicator; however, its relationship with sarcopenia has not been clearly established. This study was conducted to explore the association between RC and sarcopenia. Methods:An analysis was performed utilizing cross-sectional data from the NHANES 2011-2018. The variable RC was subjected to a logarithmic transformation to address its skewness. Logistic regression studies were conducted to examine the association between RC and sarcopenia. This study used restricted cubic spline (RCS) and threshold saturation techniques to investigate nonlinear connections. Subgroup, sensitivity, and additional analyses were performed to assess the robustness and validity of the findings. Results:The study included 4636 participants. Participants with sarcopenia had significantly higher RC levels. Logistic regression demonstrated a substantial positive association between the prevalence of sarcopenia and log RC (OR=1.69, 95% CI=1.32-2.17). RCS analysis revealed a nonlinear relationship, identifying a threshold at RC=25. When the RC is below this threshold, every one-unit increase in RC increases the chance of sarcopenia by 7% (OR=1.07, 95% CI=1.04-1.10); above this threshold, changes in RC were not significant. Subgroup analysis confirmed that RC was an independent risk factor for sarcopenia. The sensitivity and supplementary analyses supported the main findings. Conclusion:This study demonstrates a significant positive association between RC levels and the prevalence of sarcopenia in U.S. adults, offering novel evidence that RC may serve as a valuable indicator for sarcopenia assessment.
10.3389/fendo.2024.1461961
Non-HDL-cholesterol in dyslipidemia: Review of the state-of-the-art literature and outlook.
Atherosclerosis
Dyslipidemia refers to unhealthy changes in blood lipid composition and is a risk factor for atherosclerotic cardiovascular diseases (ASCVD). Usually, low-density lipoprotein-cholesterol (LDL-C) is the primary goal for dyslipidemia management. However, non-high-density lipoprotein cholesterol (non-HDL-C) has gained attention as an alternative, reliable goal. It encompasses all plasma lipoproteins like LDL, triglyceride-rich lipoproteins (TRL), TRL-remnants, and lipoprotein a [Lp(a)] except high-density lipoproteins (HDL). In addition to LDL-C, several other constituents of non-HDL-C have been reported to be atherogenic, aiding the pathophysiology of atherosclerosis. They are acknowledged as contributors to residual ASCVD risk that exists in patients on statin therapy with controlled LDL-C levels. Therefore, non-HDL-C is now considered an independent risk factor or predictor for CVD. The popularity of non-HDL-C is attributed to its ease of estimation and non-dependency on fasting status. It is also better at predicting ASCVD risk in patients on statin therapy, and/or in those with obesity, diabetes, and metabolic disorders. In addition, large follow-up studies have reported that individuals with higher baseline non-HDL-C at a younger age (<45 years) were more prone to adverse CVD events at an older age, suggesting a predictive ability of non-HDL-C over the long term. Consequently, non-HDL-C is recommended as a secondary goal for dyslipidemia management by most international guidelines. Intriguingly, geographical patterns in recent epidemiological studies showed remarkably high non-HDL-C attributable mortality in high-risk countries. This review highlights the independent role of non-HDL-C in ASCVD pathogenesis and prognosis. In addition, the need for a country-specific approach to dyslipidemia management at the community/population level is discussed. Overall, non-HDL-C can become a co-primary or primary goal in dyslipidemia management.
10.1016/j.atherosclerosis.2023.117312
Nomogram for predicting overall survival in stage II-III colorectal cancer.
Liu Jungang,Huang Xiaoliang,Yang Wenkang,Li Chan,Li Zhengtian,Zhang Chuqiao,Chen Shaomei,Wu Guo,Xie Weishun,Wei Chunyin,Tian Chao,Huang Lingxu,Jeen Franco,Mo Xianwei,Tang Weizhong
Cancer medicine
PURPOSE:The overall survival (OS) of patients diagnosed with stage II-III colorectal cancer (CRC) can vary greatly, even between patients with the same tumor stage. We aimed to design a nomogram to predict OS in resected, stage II-III CRC and stratify patients with CRC into different risk groups. PATIENTS AND METHODS:Based on data from 873 patients with CRC, we used univariate Cox regression analysis to select the significant prognostic features, which were subjected to the least absolute shrinkage and selection operator (LASSO) regression algorithm for feature selection. Cross-validation was used to confirm suitable tuning parameters (λ) for LASSO logistic regression. Then, the nomogram was used to estimate 3- and 5-year OS based on the multivariable Cox regression model. The survival curves of the two groups were produced using the Kaplan-Meier method. Risk group stratification was performed to assess the predictive capacity of the nomogram. RESULTS:Preoperative mean platelet volume, preoperative platelet distribution width, monocytes, and postoperative adjuvant chemotherapy were identified as independent prognostic factors by LASSO regression and integrated for the construction of the nomogram. The nomogram provided good discrimination, with C-indices of 0.67 and 0.69 for the training and validation sets, respectively. Calibration plots illustrated excellent agreement between the nomogram predictions and actual observations for 3- and 5-year OS. Moreover, a significant difference in OS was shown between patients stratified into different risk groups (P < .001). CONCLUSION:We constructed and validated an original predictive nomogram for OS in patients with CRC after surgery, facilitating physicians to appraise the individual survival of postoperative patients accurately and identify high-risk patients who need more aggressive treatment and follow-up strategies.
10.1002/cam4.2896
Prognostic Factors for Effectiveness Outcomes After Transarterial Radioembolization in Metastatic Colorectal Cancer: Results From the Multicentre Observational Study CIRT.
Clinical colorectal cancer
BACKGROUND:Transarterial radioembolisation (TARE) with Yttrium-90 resin microspheres is a treatment option for patients with metastatic colorectal cancer in the liver (mCRC). A better understanding of the prognostic factors and treatment application can improve survival outcomes. METHODS:We analysed the safety and effectiveness of 237 mCRC patients included in the prospective observational study CIRSE Registry for SIR-Spheres Therapy (CIRT) for independent prognostic factors for overall survival (OS), progression-free survival (PFS) and hepatic progression-free survival (hPFS) using the Cox proportional-hazard model. RESULTS:The median OS was 9.8 months, median PFS was 3.4 months and median hPFS was 4.2 months. Independent prognostic factors for an improved overall survival were the absence of extra-hepatic disease (P= .0391), prior locoregional procedures (P= .0037), an Aspartate transaminase to Platelet Ratio Index (APRI) value of ≤0.40 (P< .0001) and International Normalized Ratio (INR) ≤1 (P= .0078). Partition model dosimetry resulted in improved OS outcomes compared to the body surface area model (P = .0120). Independent predictors for PFS were APRI >0.40 (P = .0416) and prior ablation (P = .0323), and for hPFS these were 2 to 5 tumor nodules (P = .0148), Albumin-bilirubin (ALBI) grade 3 (P = .0075) and APRI >0.40 (P = .0207). During the study, 95 of 237 (40.1%) patients experienced 197 adverse events, with 28 of 237 (11.8%) patients having a grade 3 or higher adverse events. CONCLUSION:Including easy-to-acquire laboratory markers INR, APRI, ALBI and using partition model dosimetry can identify mCRC patients that may benefit from TARE.
10.1016/j.clcc.2022.09.002
Personalizing Survival Predictions in Advanced Colorectal Cancer: The ARCAD Nomogram Project.
Journal of the National Cancer Institute
Background:Estimating prognosis on the basis of clinicopathologic factors can inform clinical practice and improve risk stratification for clinical trials. We constructed prognostic nomograms for one-year overall survival and six-month progression-free survival in metastatic colorectal carcinoma by using the ARCAD database. Methods:Data from 22 674 patients in 26 randomized phase III clinical trials since 1997 were used to construct and validate Cox models, stratified by treatment arm within each study. Candidate variables included baseline age, sex, body mass index, performance status, colon vs rectal cancer, prior chemotherapy, number and location of metastatic sites, tumor mutation status (BRAF, KRAS), bilirubin, albumin, white blood cell count, hemoglobin, platelets, absolute neutrophil count, and derived neutrophil-to-lymphocyte ratio. Missing data (<11%) were imputed, continuous variables modeled with splines, and clinically relevant pairwise interactions tested if P values were less than .001. Final models were internally validated via bootstrapping to obtain optimism-corrected calibration and discrimination C-indices, and externally validated on a 10% holdout sample from each trial (n = 2257). Results:In final models, all included variables were associated with overall survival except for lung metastases, and all but total white cell count associated with progression-free survival. No clinically relevant pairwise interactions were identified. Final nomogram calibration was good (C = 0.68 for overall and C = 0.62 for progression-free survival), as was external validity (concordance between predicted >50% vs < 50% probability) and actual (yes/no) survival (72.8% and 68.2% concordance, respectively, for one-year overall and six-month progression-free survival, between predicted [>50% vs < 50% probability] and actual [yes/no] overall and progression-free survival). Median survival predictions fell within the actual 95% Kaplan-Meier confidence intervals. Conclusions:The nomograms are well calibrated and internally and externally valid. They have the potential to aid prognostication and patient-physician communication and balance risk in colorectal cancer trials.
10.1093/jnci/djx253