Project description:We developed a discovery-validation mass-spectrometry based pipeline to identify a set of proteins that are regulated in serum of patients with cervical intraepithelial neoplasia (CIN) and squamous cell cervical cancer using isobaric Tags for Relative and Absolute Quantitation (iTRAQ®), label-free shotgun and targeted mass-spectrometric quantification. At the discovery stage we used a “pooling” strategy for the comparative analysis of immunodepleted serum from patients with early-(CES) and late-stage (CLS) cervical cancer versus healthy controls that revealed 15 up- and 26 down-regulated proteins. The analysis of non-depleted serum samples from patients with CIN, CES, CLS, and healthy controls showed significant changes in abundance of alpha-1-acid glycoprotein 1, alpha-1-antitrypsin, serotransferrin, haptoglobin, alpha-2-HS-glycoprotein and vitamin D-binding protein. To further validate our findings we developed a fast UPLC/MRM method for the simultaneous targeted quantification of these proteins in an independent set of serum from patients with cervical cancer or CIN and healthy controls as well as serum samples from patients with ovarian cancer. The panel of six proteins showed 72 % sensitivity and 82 % specificity for discrimination of patients with CIN from healthy controls, a stage of the disease where current protein-based biomarkers, e.g. squamous cell carcinoma antigen fail to show any discrimination.
Project description:We developed a discovery-validation mass-spectrometry based pipeline to identify a set of proteins that are regulated in serum of patients with cervical intraepithelial neoplasia (CIN) and squamous cell cervical cancer using isobaric Tags for Relative and Absolute Quantitation (iTRAQ®), label-free shotgun and targeted mass-spectrometric quantification. At the discovery stage we used a “pooling” strategy for the comparative analysis of immunodepleted serum from patients with early-(CES) and late-stage (CLS) cervical cancer versus healthy controls that revealed 15 up- and 26 down-regulated proteins. The analysis of a new of non-depleted serum samples from patients with CIN, CES, CLS, and healthy controls showed significant changes in abundance of alpha-1-acid glycoprotein 1, alpha-1-antitrypsin, serotransferrin, haptoglobin, alpha-2-HS-glycoprotein and vitamin D-binding protein. To further validate our findings we developed a fast UPLC/MRM method for the simultaneous targeted quantification of these proteins in a new set of 48 CIN, 50 CES, 34 CLS and 48 healthy controls as well as 49 serum samples from patients with ovarian cancer. The panel of six proteins showed 62% sensitivity and 82 % specificity for discrimination of patients with CIN grade 2 or worse from healthy controls, a stage of the disease where current protein-based biomarkers fail to show any discrimination.
Project description:Using RNA-sequencing analysis of peripheral blood cells from 11 cervical cancer patients, 21 cervical intraepithelial neoplasia patients and 19 healthy controls, we identified a group of differentially expressed genes. A real time quantitative reverse transcription polymerase chain reaction (qRT-PCR) was applied to the validation of candidate markers in the blood of 115 patients and 46 healthy controls. The results suggest that a six-gene predictor set (GZMB, NDUFA1, GPR84, NUAK1, AGAP1 and CIR1) can be used as candidate genes for the detection of cervical cancer.
Project description:We developed a discovery-validation mass-spectrometry based pipeline to identify a set of proteins that are regulated in serum of patients with cervical intraepithelial neoplasia (CIN) and squamous cell cervical cancer using isobaric Tags for Relative and Absolute Quantitation (iTRAQ®), label-free shotgun and targeted mass-spectrometric quantification. At the discovery stage we used a â??poolingâ?? strategy for the comparative analysis of immunodepleted serum from patients with early-(CES) and late-stage (CLS) cervical cancer versus healthy controls that revealed 15 up- and 26 down-regulated proteins. The analysis of a new of non-depleted serum samples from patients with CIN, CES, CLS, and healthy controls showed significant changes in abundance of alpha-1-acid glycoprotein 1, alpha-1-antitrypsin, serotransferrin, haptoglobin, alpha-2-HS-glycoprotein and vitamin D-binding protein. To further validate our findings we developed a fast UPLC/MRM method for the simultaneous targeted quantification of these proteins in a new set of 48 CIN, 50 CES, 34 CLS and 48 healthy controls as well as 49 serum samples from patients with ovarian cancer. The panel of six proteins showed 62% sensitivity and 82 % specificity for discrimination of patients with CIN grade 2 or worse from healthy controls, a stage of the disease where current protein-based biomarkers fail to show any discrimination.
Project description:Cervical cancer is one of the most common cancers in women worldwide. Patients diagnosed with early-stage cervical cancer have a good prognosis, however, 10-20% suffer from local or distant recurrent disease after primary treatment. Treatment options for recurrent cervical cancer are limited. Therefore, it is crucial to identify factors that can predict patients with an increased risk of recurrence to optimize treatment to prevent the recurrence of cervical cancer. We aimed to identify biomarkers in early-stage primary cervical cancer which recurred after surgery. Formalin-Fixed, Paraffin-Embedded surgical specimens of 34 patients with early-stage cervical cancer (FIGO 2009 stage 1B1) and 7 healthy controls were analyzed. Targeted gene expression profiling using the PanCancer IO 360 panel of NanoString Technology was performed. The findings were confirmed by performing immunohistochemistry stainings. Various genes, namely GLS, CD36, WNT5a, HRAS, DDB2, PIK3R2, and CDH2 were found to be differentially highly expressed in primary cervical cancer samples of patients who developed distant recurrence. In addition, The relative infiltration score of CD8+ T cells, CD80+CD86+ macrophages, CD163+MRC1+ macrophages, and FOXP3+IL2RA+ regulatory T cells were significantly higher in this group of samples. In contrast, no significant differences in gene expression and relative immune infiltration were found in samples of patients who developed local recurrence. The infiltration of CD8 and FOXP3 cells were validated by immunohistochemistry using all samples included in the study. We identified molecular alterations in primary cervical cancer samples from patients who developed recurrent Q9 disease. These findings can be utilized towards developing a molecular signature for the early detection of patients with a high risk to develop metastasis.
Project description:We profiled scRNA-seq of 284 samples collected from 196 individuals, including 22 patients with mild/moderate symptoms, 54 hospitalized patients with severe symptoms, and 95 recovered convalescent persons, as well as 25 healthy controls. The samples were obtained from various tissue types, including human peripheral blood mononuclear cells (249), bronchoalveolar lavage fluid (12) and pleural pleural effusion (1)/sputum (22).
Project description:Microarray based circRNAs profiling was determined between neutrophil samples from patients with asymptomatic MMD and healthy subjects. The microarray results were followingly confirmed by quantitative reverse-transcription PCR. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses (KEGG) were adopted for annotation and predicting the functions of differentially expressed circRNAs. Results From this comparative circRNA microarray analysis of neutrophil samples from patients with asymptomatic MMD and healthy subjects, 123 circRNAs were identified differentially expressed between the two groups. Of these, 54 were upregulated and 69 were downregulated compared to controls (fold change > 2.0 and P < 0.05).
Project description:Gene expression profiling of early stage cervical cancer tumours with and without lymph node metastasis, in order to predict lymph node metastasis before treatment. Subsequently, comparing gene expression profiles between healthy cervical tissue and early stage cervical cancer tissue. Experiment Overall Design: All patients had clinical FIGO stage IB-IIA cervical cancer, the low-risk group (N) included 19 patients without unfavourable prognostic factors (positive lymph nodes, parametrial invasion, positive margins or a combination of unfavourable prognostic factors); the high risk group (P) consisted of 16 patients with lymph node metastasis, who were treated with adjuvant radiation therapy with or without chemotherapy. Healthy cervical tissue biopsies (H) were collected from 5 non-cervical carcinoma patients who underwent hysterectomy for benign reasons. RNA pooled from all tumour tissue samples was used as reference sample. Log-ratios of five technical replicates were used for normalization.