Cancer Biomarkers最新文献

Background: Assessing the clinical utility of biomarkers is a critical step before clinical implementation. The reclassification of patients across clinically relevant subgroups is considered one of the best methods to estimate clinical utility. However, there are important limitations with this methodology. We recently proposed the intervention probability curve (IPC) which models the likelihood that a provider will choose an intervention as a continuous function of the probability, or risk, of disease.

Objective: To assess the potential impact of a new biomarker for lung cancer using the IPC.

Methods: The IPC derived from the National Lung Screening Trial was used to assess the potential clinical utility of a biomarker for suspected lung cancer. The summary statistics of the change in likelihood of intervention over the population can be interpreted as the expected clinical impact of the added biomarker.

Results: The IPC analysis of the novel biomarker estimated that 8% of the benign nodules could avoid an invasive procedure while the cancer nodules would largely remain unchanged (0.1%). We showed the benefits of this approach compared to traditional reclassification methods based on thresholds.

Conclusions: The IPC methodology can be a valuable tool for assessing biomarkers prior to clinical implementation.

Objectives: Significant progress has been made in the treatment of patients with pulmonary adenocarcinoma (ADCA) based on molecular profiling. However, no such molecular target exists for squamous cell carcinoma (SQCC). An exome sequence may provide new markers for personalized medicine for lung cancer patients of all subtypes. The current study aims to discover new genetic markers that can be used as universal biomarkers for non-small cell lung cancer (NSCLC).

Methods: WES of 19 advanced NSCLC patients (10 ADCA and 9 SQCC) was performed using Illumina HiSeq 2000. Variant calling was performed using GATK HaplotypeCaller and then the impacts of variants on protein structure or function were predicted using SnpEff and ANNOVAR. The clinical impact of somatic variants in cancer was assessed using cancer archives. Somatic variants were further prioritized using a knowledge-driven variant interpretation approach. Sanger sequencing was used to validate functionally important variants.

Results: We identified 24 rare single-nucleotide variants (SNVs) including 17 non-synonymous SNVs, and 7 INDELs in 18 genes possibly linked to lung carcinoma. Variants were classified as known somatic (n= 10), deleterious (n= 8), and variant of uncertain significance (n= 6). We found TBP and MPRIP genes exclusively associated with ADCA subtypes, FBOX6 with SQCC subtypes and GPRIN2, KCNJ18 and TEKT4 genes mutated in all the patients. The Sanger sequencing of 10 high-confidence somatic SNVs showed 100% concordance in 7 genes, and 80% concordance in the remaining 3 genes.

Conclusions: Our bioinformatics analysis identified KCNJ18, GPRIN2, TEKT4, HRNR, FOLR3, ESSRA, CTBP2, MPRIP, TBP, and FBXO6 may contribute to progression in NSCLC and could be used as new biomarkers for the treatment. The mechanism by which GPRIN2, KCNJ12, and TEKT4 contribute to tumorigenesis is unclear, but our results suggest they may play an important role in NSCLC and it is worth investigating in future.

Background: Gastric cancer (GC) remains a huge challenge to the heathy of human beings, largely due to lacking of effective therapeutic measures. Though an oncogenic role for circular RNAs (circRNAs) circ_0067997 in the progression of GC has been described recently, the molecular modulatory mechanism of it still remains to be further explored. The aim of present study is to examine the molecular network of circ_0067997 in GC.

Methods: qRT-PCR was carried out to determine the mRNA levels of circ_0067997, miR-615-5p and AKT1 in cisplatin (DDP)-insensitive or sensitive GC tumor tissues and cells, while the correlations among the contents of these molecules were determined by statistical analysis. The expression of circ_0067997 was manipulated by short-hairpin RNA and lentiviral-mediated approaches, while that of miR-615-5p was achieved by the application of its inhibitor or mimic. The in vivo action of circ_0067997 on tumor formation was determined by measuring tumor weight/volume/size and analyzing tumor apoptosis through TUNEL staining in mouse xenograft model and, while the in vitro effects of this circRNA and its target miR-615-5p on the cell survival and death were separately evaluated by CCK-8 assay and flow cytometry. Additionally, luciferase reporter assays were executed to determine the sequentially regulatory relationships of circ_0067997, miR-615-5p, and AKT1.

Results: Our data demonstrated that the level of circ_0067997 level was increased in DDP-insensitive GC tissues and cell line, while miR-615-5p presented the opposite results. Moreover, the relationships between circ_0067997 and miR-615-5p levels, circ_0067997 and AKT1 contents presented negative and positive correlations in clinic samples, respectively. Importantly, circ_0067997 was found to repress miR-615-5p expression, consequently leading to increased growth while reduced apoptosis of GC cells in the presence of DDP. Furthermore, the validated sequential regulation was circ_0067997 modulating miR-615-5p adjusting AKT1.

Conclusions: This study demonstrated that circ_0067997 functioned as a sponge of miR-615-5p to target AKT1 expression, thereby enhancing the growth and restricting the apoptosis of DDP-insensitive GC cells. These new findings offered a valuable target for the detection and management of GC.