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66, 95%CI = 0.46-0.95,
= 0.025). Subgroup analysis in the matched cohort showed that patients could benefit more from LND if they were male, age <60 years, had no HBV infection, with ECOG score <2, CEA ≤5 ug/L, blood loss ≤400 ml, transfusion, major hepatectomy, resection margin ≥1 cm, tumor size >5cm, single tumor, mass-forming, no satellite, no MVI, and no perineural invasion (all
< 0.05). Furthermore, only patients with pathologically confirmed positive LNM were found to benefit from postoperative adjuvant therapy (
< 0.001).
With the current data, we concluded that LND would benefit the selected ICC patients with clinically negative LNM and might guide the postoperative management.
With the current data, we concluded that LND would benefit the selected ICC patients with clinically negative LNM and might guide the postoperative management.
Numerous studies showed that insulin resistance (IR) was associated with cancer risk. However, few studies investigated the relationship between IR and non-small cell lung cancer (NSCLC). The aim of this study is to explore the association of triglyceride glucose (TyG) index, a simple surrogate marker of IR, with NSCLC risk.
791 histologically confirmed NSCLC cases and 787 controls were enrolled in the present study. Fasting blood glucose and triglyceride were measured. The TyG index was calculated as ln [fasting triglycerides (mg/dl) ×fasting glucose (mg/dl)/2]. Logistic regression analysis was performed to estimate the relationship between NSCLC risk and the TyG index.
The TyG index was significantly higher in patients with NSCLC than that in controls (8.42 ± 0.55
8.00 ± 0.45,
< 0.01). Logistic regression analysis showed that the TyG index (
= 3.651, 95%
2.461-5.417,
< 0.001) was independently associated with NSCLC risk after adjusting for conventional risk factors. In addition, a continuous rise in the incidence of NSCLC was observed along the tertiles of the TyG index (29.4
53.8
67.2%,
< 0.001). However, there were no differences of the TyG index in different pathological or TNM stages. In receiver operating characteristic (ROC) curve analysis, the optimal cut-off level for the TyG index to predict incident NSCLC was 8.18, and the area under the ROC curve (AUROC) was 0.713(95%
0.688-0.738).
The TyG index is significantly correlated with NSCLC risk, and it may be suitable as a predictor for NSCLC.
The TyG index is significantly correlated with NSCLC risk, and it may be suitable as a predictor for NSCLC.Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide and has high mortality. Biomarkers related to HCC, such as alpha-fetoprotein, and imaging technology, such as ultrasound and computed tomography, have been used to screen and monitor HCC, but HCC is still difficult to diagnose effectively in the early stage due to the low sensitivity of the above mentioned traditional methods. There is an urgent need for noninvasive biomarkers to facilitate the screening and early diagnosis of HCC. With the advancement of next-generation sequencing, genetic biomarkers are becoming the core of cancer diagnosis. Genetic biomarkers such as peripheral blood circulating tumor DNA, microRNAs, long noncoding RNAs, circular RNAs, and exosomes have become the focus of early HCC diagnostics. HCC genetic biomarkers have been implemented in clinical practice. In this review, we describe the available literature on peripheral blood genetic biomarkers in the diagnosis of early HCC.Cellular autophagy plays an important role in the occurrence and development of colorectal cancer (CRC). Whether autophagy-related genes and lncRNAs can be used as ideal markers in CRC is still controversial. The purpose of this study is to identify novel treatment and prognosis markers of CRC. We downloaded transcription and clinical data of CRC from the GEO (GSE40967, GSE12954, GSE17536) and TCGA database, screened for differentially autophagy-related genes (DEAGs) and lncRNAs, constructed prognostic model, and analyzed its relationship with immune infiltration. TCGA and GEO datasets (GSE12954 and GSE17536) were used to validate the effect of the model. Oncomine database and Human Protein Atlas verified the expression of DEAGs. We obtained a total of 151 DEAGs in three verification sets collaboratively. Then we constructed a risk prognostic model through Lasso regression to obtain 15 prognostic DEAGs from the training set and verified the risk prognostic model in three verification sets. The low-risk group d showed same trend to the results mentioned above. In the final analysis, these results indicate that autophagy-related genes and lncRNAs can be used as prognostic and therapeutic markers for CRC.Purpose The dilemma of undertreatment and overtreatment of elderly breast cancer patients is common. This study aimed to investigate clinicopathological features, treatment modalities, and survival in women diagnosed with breast cancer at age 70 years or over, and to assist clinicians in developing individualized treatment plans by balancing the risks of breast cancer-specific death (BCSD) and other cause-specific death (OCSD). Methods This retrospective study included 420 women who were diagnosed with pathologically confirmed invasive breast cancer at age 70 years or older from January 2008 to December 2015 at Peking University People's Hospital (PKUPH). We collected baseline health status, tumor characteristics, treatment choices, and outcomes and created nomograms for clinicians to estimate individualized BCSD and OCSD risk directly. Results During a median follow-up of 71.5 months (range 2 to 144 months) in patients with stage I-III tumors, breast cancer specific survival (BCSS) was 92.4% (376/407) and ovs had greater risk of dying from non-breast cancer causes. ML264 Surgery, chemotherapy, and endocrine therapy were associated with improved survival. Competing risk nomograms allowed individual assessment of BCSD and OCSD, based on clinicopathological characteristics and treatment options, and can be used as a tool to help in choosing appropriate treatment strategies. This study was approved by the Peking University People's Hospital Research Ethics Board on September 4, 2018.
Homepage: https://www.selleckchem.com/products/ml264.html
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