Plasma protein signatures associated with lymph node metastasis in colorectal cancer
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ABSTRACT:
ORGANISM(S): Homo Sapiens
SUBMITTER: 
Lifen Zhao
PROVIDER: PXD056886 | iProX | Thu Oct 17 00:00:00 BST 2024
REPOSITORIES: iProX
Similar Datasets
Project description:Background Breast cancer patients who present in the early stage of disease are affected by metastasis to the axillary group of lymph nodes. The first among this group that is affected is called as sentinel lymph node, and metastasis to this lymph node is crucial for the staging of cancer and the quality of surgical intervention. Sentinel Lymph Node Biopsy (SLNB) that is currently used to assess lymph node metastasis is neither sensitive, nor specific, is time-consuming, thereby necessitating the identification of novel biomarkers that can flag sentinel lymph node metastasis. Methods Breast cancer patients were screened, and those with early stage were recruited in the study. Surgical resection of the breast was followed by identification of sentinel lymph nodes by methylene fluorescent technique. Histo-pathology of fresh frozen section biopsy was used as the gold standard to assign the clinical phenotypes of metastatic (SLNM+) and non-metastatic sentinel lymph nodes (SLNM-). Discovery phase of the experiment included isobaric Tags for Relative and Absolute Quantitation (iTRAQ) technique comprising of six comparative experiments coupled with mass spectrometric analysis on Orbitrap Fusion to identify differentially expressed proteins on Proteome Discoverer 2.4. Functional enrichment and pathway analyses of differentially regulated genes was carried out in DAVID functional annotation tool. Validation was done by ELISA and protein concentrations were used to estimate the ROC for computing diagnostic parameters. Results Based on MS/MS spectra there were 2396 unique protein groups and 81 differentially expressed proteins comparing SLNB + and SLNB -. Nineteen proteins up-regulated, and eight proteins that were down regulated in SLNB+ as compared to SLNB-. Bioinformatic analysis showed the implication of extra cellular matrix proteins and ECM-receptor interaction pathways to be implicated in lymph node metastasis. ELISA confirmed the up-regulation of caveolin 1, collagen α-1, desmin, fibrillin-1, and microfibrillar associated glycoprotein 4 in metastatic, as compared to non-metastatic lymph nodes. These proteins are known to be integral in tumorogenesis, cell proliferation, invasion, cell survival and anti-apoptosis. These proteins have 80%-100%, of sensitivity and specificity to differentiate the two clinical phenotypes. Conclusion Identified extra cellular matrix protein biomarkers have requisite diagnostic parameters to be developed as a translational tool to assess the status of sentinel lymph nodes during mastectomy procedure to guide surgical therapy of axillary lymph nodes in early breast oncology.
2022-05-01 | PXD027668 | Pride
Project description:Despite available diagnostic tests and recent advances, diagnosis of pulmonary invasive aspergillosis (IPA) remains challenging. By undertaking a longitudinal case-control study, we explored the possibility to identify novel non-invasive human biomarkers candidates for IPA in patients post allogeneic stem cell transplantation (alloSCT). Using both RNA-sequencing and immunoassays, we investigated 66 blood samples of 3 probable IPA cases and 3 matched controls without Aspergillus infection. Selected potential biomarker candidates were evaluated further in additional alloSCT (n=23) and patients suffering from COVID-19-associated pulmonary aspergillosis (CAPA) and their appropriate control patients (n=65). Profiling analysis suggested LGALS2, MMP1 and caspase-3 as potential biomarker candidates indicating IPA in investigated alloSCT patients. Significant differences in IL-8 and caspase-3 levels were observed among CAPA patients compared to control patients. Given our conceptual work we demonstrate the value of seeking human IPA indicating biomarkers, which together with already established fungal biomarkers potentially improve the accuracy of IPA diagnostic.
2022-03-02 | GSE174825 | GEO
Project description:Lymph node metastasis is a poor prognosis indicator in esophageal cancer. Although tumor spreading currently forms the main basis for therapy selection, the molecular mechanisms underlying the metastatic pathway remain insufficiently understood. Several studies aimed to investigate these mechanisms but focused mainly on regulatory patterns in the tumors themselves and/or the invaded lymph nodes. To date no study has yet investigated the potential changes on transcription level, which take place within the yet non-invaded niche. Here we provide a comprehensive description of these regulations in patients. In this study the transcriptomic profiles of regional lymph nodes were determined for two patient groups: patients classified as pN1 (metastasis) or pN0 (no metastasis) respectively. All investigated lymph nodes, also those from pN1 patients, were still free of metastasis. The gene expression data was obtained via microarray analysis. Top candidates were validated via PCR and immunohistochemistry. The results show that regional lymph nodes of pN1 patients differ decisively from those of pN0 patients – even before metastasis has taken place. In the pN0 group distinct immune response patterns were observed. In contrast, lymph nodes of the pN1 group exhibited a clear profile of reduced immune response and reduced proliferation, but increased apoptosis, enhanced hypoplasia and morphological conversion processes. DKK1 was the most significant gene associated with the molecular mechanisms taking place in lymph nodes of patients suffering from metastasis (pN1). We assume that the two molecular profiles observed constitute two different stages of a progressive disease. Finally we suggest that DKK1 might play an important role within the mechanisms leading to lymph node metastasis. First, samples were classified according to the principal status of the patients exhibiting (pN1 group) or non-exhibiting (pN0 group) metastasis in regional lymph nodes. The comparison of pN1 and pN0 patients should highlight the general differences in regulations that might lead to or prevent from metastasis. Second, two lymph node samples were collected from each patient, one node located close to the tumor (regional) and the second node distant to the tumor. While the distant nodes served as reference sample the regional nodes were investigated for transcriptional regulations. Key to the work presented here is that all nodes investigated were made sure to be still metastasis free, independent of the patients’ pN1/pN0 classification and of the location relative to the tumor. This should allow the identification of early changes occurring prior to metastasis homing.
2015-05-18 | E-GEOD-51021 | biostudies-arrayexpress
Project description:Despite advances in Hodgkin lymphoma (HL) treatment, about 20% of patients still die due to progressive disease. Current prognostic models predict treatment outcome with imperfect accuracy, and clinically relevant biomarkers are yet to be established that improve upon the International Prognostic Scoring (IPS) system. We analyzed 130 frozen diagnostic lymph node biopsies from classical HL patients by gene expression profiling to describe cellular signatures correlated with treatment outcome. Diagnostic fresh-frozen lymph node specimens from 130 patients with cHL were selected for GEP from the tissue archive at the British Columbia Cancer Agency and the University of Nebraska Medical Center according to the following criteria: primary diagnosis of cHL following central review, representative lymph node tissue (at least 1 cm² area in tissue sections), HIV-negative status and first line treatment with systemic chemotherapy ABVD (doxorubicin, bleomycin, vinblastine and dacarbazine) or ABVD-like regimen with or without radiation therapy if indicated or, in the case of seven patients with limited-stage disease, wide field radiation.
2010-03-08 | E-GEOD-17920 | biostudies-arrayexpress
Project description:To describe the accuracy of FAPI PET/CT in the detection of regional lymph node metastases in patients with colorectal cancer in comparison with standard diagnostic imaging and (in operated patients) histopathology, aiming to provide early evidence of the diagnostic value of FAPI PET/CT.
| 2402368 | ecrin-mdr-crc
Project description:Expression profiling of breast cancer tumours, comparing 10 year survivors to deceased patients Background It is of great significance to find better markers to correctly distinguish between high-risk and low-risk breast cancer patients since the majority of breast cancer cases are at present being overtreated. Methods 46 tumours from node-negative breast cancer patients were studied with gene expression microarrays. A t-test was carried out in order to find a set of genes where the expression might predict clinical outcome. Two classifiers were used to evaluate the gene lists on the different data sets, a correlation-based classifier and a VFI (Voting Features Interval) classifier. We then evaluated the predictive accuracy of this expression signature on tumour sets from two similar studies on lymph-node negative patients which had developed gene expression signatures superior to current methods in classifying node-negative breast tumours. These two signatures were also tested on our material. Results A list of 51 genes whose expression profiles could predict clinical outcome with high accuracy in our material (96% or 89% accuracy in cross-validation, depending on type of classifier) was developed. When tested on two independent data sets, the expression signature based on the 51 identified genes had good predictive qualities in one of the data sets (74% accuracy), whereas their predictive value on the other data set were poor, presumably due to the fact that only 23 of the 51 genes were found in that material. We also found that previously developed expression signatures could predict clinical outcome well to moderately well in our material (72% and 61%, respectively). Conclusion The list of 51 genes derived in this study might have potential for clinical utility as a prognostic gene set, and may include candidate genes of potential relevance for clinical outcome in breast cancer. According to the predictions by this expression signature, 30 of the 46 patients should have had different adjuvant treatment than they did. Keywords: Expression Microarray, Lymph-node-negative Breast Cancer, Clinical Outcome, Classification
2008-08-29 | GSE12071 | GEO
Project description:Analyses whether, and if so, gene expression can add prognostic information in the subgroups of patients with tumours with low or high proliferative activity. As proliferation measured with MAI and PPH3 has repeatedly been shown to be the best prognosticator in node-negative breast cancer (high sensitivity, little overtreatment). Total RNA were extracted from 94 lymph node negative breast cancer patients
2014-03-05 | E-GEOD-46563 | biostudies-arrayexpress
Project description:Endobronchial ultrasound (EBUS) guided biopsy is becoming the mainstay for investigation of mediastinal lymphadenopathy to aid laboratory diagnosis of malignancy, sarcoidosis or tuberculosis. However, diagnostic uncertainty is still common in the distinction between culture negative tuberculosis and sarcoidosis or malignancy and reactive lymphadenitis. We sought to evaluate the role of genome-wide transcriptional profiling of EBUS guided lymph node samples to aid diagnostic processes in this setting.
2016-01-06 | E-MTAB-2547 | biostudies-arrayexpress
Project description:Primary outcome(s): Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for lymph node metastasis
| 2724955 | ecrin-mdr-crc
Project description:Lymph node metastasis is a poor prognosis indicator in esophageal cancer. Although tumor spreading currently forms the main basis for therapy selection, the molecular mechanisms underlying the metastatic pathway remain insufficiently understood. Several studies aimed to investigate these mechanisms but focused mainly on regulatory patterns in the tumors themselves and/or the invaded lymph nodes. To date no study has yet investigated the potential changes on transcription level, which take place within the yet non-invaded niche. Here we provide a comprehensive description of these regulations in patients. In this study the transcriptomic profiles of regional lymph nodes were determined for two patient groups: patients classified as pN1 (metastasis) or pN0 (no metastasis) respectively. All investigated lymph nodes, also those from pN1 patients, were still free of metastasis. The gene expression data was obtained via microarray analysis. Top candidates were validated via PCR and immunohistochemistry. The results show that regional lymph nodes of pN1 patients differ decisively from those of pN0 patients – even before metastasis has taken place. In the pN0 group distinct immune response patterns were observed. In contrast, lymph nodes of the pN1 group exhibited a clear profile of reduced immune response and reduced proliferation, but increased apoptosis, enhanced hypoplasia and morphological conversion processes. DKK1 was the most significant gene associated with the molecular mechanisms taking place in lymph nodes of patients suffering from metastasis (pN1). We assume that the two molecular profiles observed constitute two different stages of a progressive disease. Finally we suggest that DKK1 might play an important role within the mechanisms leading to lymph node metastasis.
2015-05-18 | GSE51021 | GEO