Dataset Information

LC-MS of Human Blood of Pancreatic neuroendocrine tumors

ABSTRACT: Pancreatic Neuroendocrine tumors are challenging to diagnose and often detected at advanced stages due to lack of specific and sensitive biomarkers. This study utilized proteomics as a valuable approach for cancer biomarker discovery, therefore, mass spectrometry-based proteomic profiling was conducted on plasma samples from 12 subjects (3 controls; 9 PanNET patients) to identify potential proteins capable of effectively distinguish PanNET from healthy controls. 13.2% of proteins were uniquely identified in PanNET, while 60% were commonly expressed in PanNET and controls. 17 proteins exhibiting significant differential expression between PanNET and controls were identified with downstream analysis.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

DISEASE(S): Endocrine Pancreas Disease

SUBMITTER: Priya Kumari Gorai

LAB HEAD: Neerja Rani

PROVIDER: PXD045045 | Pride | 2024-01-26

REPOSITORIES: Pride

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Publications

C1QA and COMP: plasma-based biomarkers for early diagnosis of pancreatic neuroendocrine tumors.

Gorai Priya Kumari PK Bharti Prahalad Singh PS Kumar Shashi S Rajacharya Girish H GH Bandyopadhyay Sabyasachi S Pal Sujoy S Dhingra Renu R Kumar Rakesh R Nikolajeff Fredrik F Kumar Saroj S Rani Neerja N

Scientific reports 20231129 1

Pancreatic Neuroendocrine tumors (PanNET) are challenging to diagnose and often detected at advanced stages due to a lack of specific and sensitive biomarkers. This study utilized proteomics as a valuable approach for cancer biomarker discovery; therefore, mass spectrometry-based proteomic profiling was conducted on plasma samples from 12 subjects (3 controls; 5 Grade I, 4 Grade II PanNET patients) to identify potential proteins capable of effectively distinguishing PanNET from healthy controls. ...[more]

PMID: 38030709

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Project description:The management of neuroendocrine tumors (NETs) is very variable, depending on many specific aspects, such as the type of tumor, spread and patient general health. Several advances have been made with the newly developed somatostatin analogues to cure this type of malignancies. Somatostain analogues such as octreotide have been used in clinic to treat patients with neuroendocrine tumors (NETs). However, the molecular mechanism leading either to successful therapy or acquired resistance to the analogues is still to large extent unclear. Patients develop drugs resistance during a long term treatment. Therefore, to identify the pivotal regulatory genes involved in the development of drug resistance is an actual challenge. We studied five human neuroendocrine tumor cell lines, CNDT2.5, KRJ1, QGP-1, NCI H720 and NCI H727. We also investigated a long-term treated CNDT2.5 by using octreotide. We performed gene expression profiling in all the human neuroendocrine cell lines. Keywords: Gene Expression profiling, treatment comparison We investigated 5 human neuroendocrine cell lines, CNDT2.5 and KRJ1, established from ileum NETs, QGP1 by a pancreatic NET, NCI H720 and NCI H727 from bronchopulmonary NETs. CNDT2.5 cell were constantly treated with 1M-BM-5M octreotide for 10 and 16 months. We isolated total RNA (Ambion, PARISM-bM-^DM-" Kit) from 5 WT cell lines and CNDT2.5 treated with octreotide (Santostatin, Novartis). Total RNA was hybridized onto the Affymetrix Human Gene 1.0 ST Array by Affymetrix Uppsala Platform, UU. SE (Uppsala, Sweden). We first wanted to verify whether the different cell lines may become reliable models to study neuroendocrine signaling pathways. The main objective of this project aimed at understanding the mechanisms by which octrotide (Sandostatin, Novartis) alter cellular growth and differentiation of CNDT2.5 cells. We therefore focused on intermediate (10 months) and long stimulation (16 months) events triggered by sandostatin, which lead variation of CNDT.2.5 cells gene expression to identify potential pivotal genes involved in the development of drug resistance in neuroendocrine cells.

Project description:The tumorigenesis of small intestinal neuroendocrine tumors (NETs) is poorly understood. Recent studies have associated alternative polyadenylation with proliferation, cell transformation and cancer. Polyadenylation is the process in which the pre-mRNA is cleaved at a polyA site and a polyA tail is added. Genes with two or more polyA sites can undergo alternative polyadenylation. This produces two or more distinct mRNA isoforms with different 3M-bM-^@M-^Y untranslated regions. Additionally, alternative polyadenylation can also produce mRNAs containing different 3M-bM-^@M-^Y-terminal coding regions. Therefore, alternative polyadenylation alters both the repertoire and the expression level of proteins. Here we used high-throughput sequencing data to map polyA sites and characterize polyadenylation genome-wide in three small intestinal neuroendocrine tumors and a reference sample. In the tumors sixteen genes showed significant changes of alternative polyadenylation pattern, which lead to either the 3M-bM-^@M-^Y truncation of mRNA coding regions or 3M-bM-^@M-^Y untranslated regions. Among these, 11 genes had been previously associated with cancer, with 4 genes being known tumor suppressors: DCC, PDZD2, MAGI1 and DACT2. We validated the alternative polyadenylation in 3 out of 3 cases with Q-RT-PCR. Our findings suggest that changes of alternative polyadenylation pattern in these 16 genes could be involved in the tumorigenesis of small intestinal neuroendocrine tumors. Furthermore, they also point to alternative polyadenylation as a new target for both diagnostic and treatment of small intestinal neuroendocrine tumors. The identified genes with alternative polyadenylation specific to the small intestinal neuroendocrine tumors could be further tested as diagnostic markers and drug targets for disease prevention and treatment. PolyA-seq profiling of 3 human neuroendocrine tumors compared and pituitary using Direct RNA Sequencing from Helicos Biosciences Technology

Dataset Information

LC-MS of Human Blood of Pancreatic neuroendocrine tumors

Publications

C1QA and COMP: plasma-based biomarkers for early diagnosis of pancreatic neuroendocrine tumors.

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