Ontology highlight
ABSTRACT:
PROVIDER: PRJNA740302 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14893100.fastq.gz | Fastqsanger.gz | |||
| SRR14893101.fastq.gz | Fastqsanger.gz | |||
| SRR14893102.fastq.gz | Fastqsanger.gz | |||
| SRR14893103_1.fastq.gz | Fastqsanger.gz | |||
| SRR14893103_2.fastq.gz | Fastqsanger.gz |
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Project description:Background: Current histopathological methods are inadequate for predicting outcome and recurrence in patients with non-small cell lung carcinoma (NSCLC) after surgery. In this study, we investigated the use of gene expression signatures to predict outcome and metastasis in lung cancer patients. Methods: Gene expression was studied by microarray and the real-time reverse transcriptase polymerase chain reaction (RT-PCR) in normal and lung tumor tissue of 188 NSCLC patients who underwent surgical resection. The 5 cancer-related genes and 1 reference gene expression levels measureed by real-time RT-PCR were used in a prospectively defined algorithm to determine the risk for each patient. Finally, we used an independent cohort to verify the 5 gene-based predictive model derived from decision tree analysis. Results: The 5 gene-based decision tree model was able to predict the prognosis. The recurrence rate at 36 months was 53% in the low-risk group versus 83% in the high-risk group (P=0.002). The 5 gene-based model could also predict overall survival (P<0.001). In multivariate analysis, the decision tree model predicted that high-low dichotomy and stage were both significant for recurrence. In addition, it could also predict metastasis and survival of NSCLC patients within the stage I-II subgroups. A similar result was found using an independent cohort of NSCLC patients. The high-risk patients had a significantly poorer overall survival than the low-risk patients (P=0.005). We also found distinct gene signatures which could distinguish between NSCLC, and normal tissue and histology subtypes. Conclusions: A gene expression signature can predict metastasis and survival of NSCLC patients. Keywords: Survival and metastasis analysis
2006-06-07 | GSE4882 | GEO
Project description:Early-stage epithelial ovarian cancer (eEOC) patients have a generally favorable prognosis but heterogeneous behavior at recurrence. Accurate prediction of the risk of relapse is still a major concern, essentially to avoid overtreatment. We have identified a robust miRNA-based signature named MiROvaR able to predict early disease recurrence in case materials of mostly advanced-stage EOC patients. We challenged MiROvaR in the eEOC sub-setting (stage IA-IIB) and it proved to accurately classify eEOC patients according to their risk of relapse.
2022-12-21 | GSE169314 | GEO
Project description:The early detection of tissue and organ damage associated with autoimmune diseases (AID) has been identified as key to improve long-term survival, but non-invasive biomarkers are lacking. Elevated cell-free DNA (cfDNA) levels have been observed in AID and inflammatory bowel disease (IBD), prompting interest to use cfDNA as a potential non-invasive diagnostic and prognostic biomarker. Despite these known disease-related changes in concentration, it remains impossible to identify AID and IBD patients through cfDNA analysis alone. By using unsupervised clustering on large sets of shallow whole-genome sequencing (sWGS) cfDNA data, we uncover AID- and IBD-specific genome-wide patterns in plasma cfDNA in both the obstetric and general AID and IBD populations. Supervised learning of the genome-wide patterns allows AID prediction with 50% sensitivity at 95% specificity. Importantly, the method can identify pregnant women with AID during routine non-invasive prenatal screening. Since AID pregnancies have an increased risk of severe complications, early recognition or detection of new onset AID can redirect pregnancy management and limit potential adverse events. This method opens up new avenues for screening, diagnosis and monitoring of AID and IBD.
2022-09-14 | E-MTAB-11607 | biostudies-arrayexpress
Project description:To date, the 5-year overall survival of early-stage non-small cell lung cancer (NSCLC) is still unsatisfactory at 59.8%. Therefore, reliable prognostic factors are needed. Growing evidence shows that cancer progression may depend on a double interconnection between cancer cells and the surrounding tumor microenvironment; hence, circulating molecules may represent promising markers of cancer recurrence. Here, we performed in-depth analysis of circolome-derived markers, including Exo-miRnome and peptidome in 67 radically resected NSCLCs, to identify a prognostic score. The miRnome profile selected exo-miR130a-3p as the most overexpressed in patients with relapse. Peptidome analysis identified 4 progressively more degraded forms of fibrinopeptide A (fpA) in progressing patients. Notably, the combination of exo-miR130a-3p and the greatest fpA (2-16) built a score where high-risk patients had 24 months of disease-free survival. Moreover, in vitro transfections showed that higher levels of exo-miR-130a-3p lead to a deregulation of some pathways involved in metastasis, in angiogenesis, such as in coagulation which could be linked to the FpA reduction. In conclusion, the identified risk score integrating circulating markers can help clinicians predict early-stage NSCLC patients who are more likely to relapse after initial surgery.
2022-03-16 | MSV000089072 | MassIVE
Project description:To date, the 5-year overall survival of early stage non-small cell lung cancer (NSCLC) is still unsatisfactory at 59.8%. Therefore, reliable prognostic factors are needed. Growing evidence shows that cancer progression may depend on a double interconnection between cancer cells and the surrounding tumor microenvironment, and circulating molecules may represent promising markers of cancer recurrence. Here, we performed in-depth analysis of circolome-derived markers, including Exo-miRnome and peptidome in 67 radically resected NSCLCs, to identify a prognostic score. The miRnome profile selected exo-miR130a-3p as the most overexpressed in patients with relapse. Peptidome analysis identified 4 fibrinopeptide A (fpA), which were depleted in progressing patients. Notably, the combination of exo-miR130a-3p and the greatest fpA (2-16) built a score where high-risk patients had 24 months of disease-free survival. Moreover, in vitro transfections showed that higher levels of exo-miR-130a-3p lead to a deregulation of some pathways involved in metastasis, in angiogenesis, such as in coagulation. In conclusion, the identified risk score integrating circulating markers can help clinicians predict early-stage NSCLC patients who are more likely to relapse after initial surgery.
2022-05-01 | GSE198958 | GEO
Project description:Background Despite improvement in diagnostic and therapeutic techniques, a significant percentage of patients with early stage laryngeal cancer still recur after treatment. Gene expression models prognostic of recurrence risk could suggest which patients with early stage laryngeal cancer would be more appropriate for testing adjuvant strategies. Patients and Methods Expression profiling using whole genome DASL arrays was performed on 56 formalin-fixed paraffin-embedded tumor samples of patients with early stage laryngeal cancer, treated with surgery or radiation therapy. We split the samples into a training set and a validation set. Using the supervised principal components survival analysis in the first cohort, we identified multiple gene expression profiles that predict the risk of recurrence. These profiles were then validated in the second independent cohort. Results Gene models comprising different number of genes (40-100) identified a subgroup of patients who were at high risk of recurrence. Of these, the best prognostic model distinguished between a high- and a low-risk group (median DFS: 92 and 123 months, log rank p<0.005, permutation p<0.05), Hazard Ratio (HR): 8.51 (95% CI, 1.01 to 71.77; p<0.05). These models performed similarly in the independent cohort of our study (median DFS: 38 vs 161 months, log rank p=0.018), HR=5.19 (95% CI, 1.14 to 23.57; p<0.05). Conclusions We have identified gene expression prognostic models which can refine the estimation of a patient’s risk of recurrence. These findings, if further validated, should aid in patient stratification for testing adjuvant treatment strategies. 56 patients with early stage laryngeal cancer were included in this study.
2011-11-26 | E-GEOD-25727 | biostudies-arrayexpress
Project description:Postoperative recurrence is the main cause of poor prognosis in early stage lung adenocarcinoma (LUAD). Factors that can predict recurrence risk are critically needed.we designed a screening procedure based on gene profile data.The differentially expressed genes (DEGs) between patients with recurrence-free survival (RFS)<1 year and RFS>3 years were found.Cox proportional hazards model, IHC and Kaplan-Meier survival analysis were preformed to validate these biomarkers in TCGA and Daping validation sets.
2018-10-27 | GSE121841 | GEO
Project description:Relapse and metastatic progression is a frequent event in colorectal cancer patients detected at early stages. The risk of recurrence requires the development of new biomarkers to correctly predict biological behavior of early stage II and stage III patients and their response to adjuvant chemotherapy. Here, we combined the proteomic quantification of secreted proteins involved in metastasis with a transcriptional analysis to develop a risk score algorithm based on the expression of six genes (SEC6). The SEC6 signature was predictive of survival and recurrence for stage II and III patients in four different datasets including a total of 1534 patients and was also associated with deficient mismatch repair, CpG-island methylator positive status and BRAF mutation. SEC6 was also predictive of beneficial or detrimental effects from 5-Fluorouracil-containing regimes and the improved response to more aggressive chemotherapies based on FOLFOX and FOLFIRI. In summary, the SEC6 risk-score algorithm may constitute a new tool for decision-making in colorectal cancer management.
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Project description:Colorectal cancer (CRC) is one of the most common gastrointestinal tumors. According to the latest cancer report, the incidence and mortality rates of CRC are both ranked top 5 among malignant tumors worldwide and continue to rise. Patients who receive treatment in the early stage (stage I) have a 5-year survival rate of approximately 90%. However, for high-risk stage II and III colorectal cancer patients, the 5-year survival rate is only 40%-70%, and almost half of the patients experience postoperative recurrence and metastasis.
Circulating tumor DNA (ctDNA) is a small fraction of total cell-free DNA (cfDNA) in peripheral blood circulation, carrying tumor-specific genetic and epigenetic information. It can usually be detected in the serum or plasma of tumor patients in peripheral blood. Studies have shown that methylation detection of plasma ctDNA can be used for predicting the efficacy and prognosis of tumor postoperatively, as well as for dynamic monitoring.
Current methods for monitoring CRC recurrence include testing for carcinoembryonic antigen (CEA) in blood and periodic computed tomography (CT) scans. However, due to the low sensitivity of CEA and the radiation and cost limitations of CT examination, the disease status of postoperative CRC patients cannot be well-monitored.
ctDNA is a promising biomarker for monitoring the recurrence and metastasis of CRC. Research results have shown that ctDNA can be detected in all subjects before surgery, and the changes in ctDNA levels are related to the extent of surgical resection. The detection of ctDNA after surgery generally indicates recurrence within one year. ctDNA may be a more reliable and sensitive indicator than the current standard biomarker CEA, providing a window for early intervention.
This multicenter, prospective, and randomized controlled cohort study uses a single-tube methylation-specific quantitative PCR (mqMSP) detection, which detects 10 different methylation markers and can quantitatively analyze plasma samples containing tumor DNA as low as 0.05%. This study will use the ctDNA methylation detection technology to conduct quantitative detection of ctDNA methylation in the plasma of enrolled patients, hoping to predict the recurrence and metastasis risk of patients at an earlier stage through ctDNA changes, and to explore the value of ctDNA detection in guiding postoperative follow-up for high-risk stage II and III CRC.
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Project description:To date, the 5-year overall survival of early stage non-small cell lung cancer (NSCLC) is still unsatisfactory at 59.8%. Therefore, reliable prognostic factors are needed. Growing evidence shows that cancer progression may depend on a double interconnection between cancer cells and the surrounding tumor microenvironment, and circulating molecules may represent promising markers of cancer recurrence. Here, we performed in-depth analysis of circolome-derived markers, including Exo-miRnome and peptidome in 67 radically resected NSCLCs, to identify a prognostic score. The miRnome profile selected exo-miR130a-3p as the most overexpressed in patients with relapse. Peptidome analysis identified 4 fibrinopeptide A (fpA), which were depleted in progressing patients. Notably, the combination of exo-miR130a-3p and the greatest fpA (2-16) built a score where high-risk patients had 24 months of disease-free survival. Moreover, in vitro transfections showed that higher levels of exo-miR-130a-3p lead to a deregulation of some pathways involved in metastasis, in angiogenesis, such as in coagulation which could be linked to the FpA reduction. In conclusion, the identified risk score integrating circulating markers can help clinicians predict early-stage NSCLC patients who are more likely to relapse after initial surgery.
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