Dataset Information

In-depth analysis of differential protein expression in patients greater than 45 years old with papillary thyroid cancer through quantitative proteomics

ABSTRACT: Papillary thyroid cancer (PTC) accounts for the predominant histological types of all thyroid cancers. Additionally, 15% PTC with LNM are unfortunately associated with increased radioiodine resistance, distant metastasis, recurrence and increased mortality. Additionally, 15% PTC with LNM are unfortunately associated with increased radioiodine resistance, distant metastasis, recurrence and increased mortality.Two proteomics research has been implemented to investigate the molecular mechanisms involved in pathogenesis of PTC patients younger than 45 years with LNM and identified several candidate biomarker.However, until now there is no study to comprehensively investigate the differential expressed proteins (DEPs) in PTC patients older than age 45 years.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Thyroid Nodule

DISEASE(S): Thyroid Cancer

SUBMITTER: Wei Ge

LAB HEAD: Wei Ge

PROVIDER: PXD007971 | Pride | 2022-06-09

REPOSITORIES: Pride

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Publications

Asporin Interacts With HER2 to Promote Thyroid Cancer Metastasis <i>via</i> the MAPK/EMT Signaling Pathway.

Zhan Shaohua S Wang Tianxiao T Li Jingying J Zhu Hanyang H Ge Wei W Li Jinming J

Frontiers in oncology 20220502

Approximately 85% of histological subtypes of thyroid cancer are papillary thyroid cancer (PTC), and the morbidity and mortality of PTC patients rapidly increased due to lymph node metastases or distant metastasis. Therefore, it needs to distill an enhanced understanding of the pathogenesis of PTC patients with lymph node metastases or distant metastasis. We employed the TMT-based quantitative proteomics approach to identify and analyze differentially expressed proteins in PTC with different deg ...[more]

PMID: 35600399

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Project description:The biology underlying nodal metastasis is poorly understood. Transcriptome profiling has helped to characterize both primary tumors seeding nodal metastasis and the metastasis themselves. The interpretation of these data, however, is not without ambiguities. Here we profiled the transcriptomes of 17 papillary thyroid cancer (PTC) nodal metastases, associated primary tumors and primary tumors from N0 patients. We also included patient-matched normal thyroid and lymph node samples as controls to address some limits of previous studies. We found that the transcriptomes of patient-matched primary tumors and metastases were more similar than of unrelated metastases/primary pairs, a result also reported in other organ systems, and that part of this similarity reflected patient background. We found that the comparison of patient-matched primary tumors and metastases was heavily confounded by the presence of lymphoid tissues in the metastasis samples. An original data adjustment procedure was developed to circumvent this problem. It revealed a differential expression of stroma-related gene expression signatures also regulated in other organ systems. The comparison of N0 vs. N+ primary tumors uncovered a signal irreproducible across independent PTC datasets. This signal was also detectable when comparing the normal thyroid tissues adjacent to N0 and N+ tumors, suggesting a cohort specific bias also likely to be present in previous studies with similar statistical power. Classification of N0 vs. N+ yielded an accuracy of 63%, but additional statistical controls not presented in previous studies, revealed that this is likely to occur by chance alone. To address this issue, we used large datasets from The Cancer Genome Atlas and showed that N0 vs. N+ classification rates could not be reached randomly for most cancers. Yet, it was significant, but of limited accuracy (<70%) for thyroid, breast and head and neck cancers. We profiled the transcriptomes of 11 primary PTCs with no detectable nodal invasion, 17 primary PTCs with nodal invasion and 17 patient-matched nodal metastases. We also profiled a number of control samples. These included 24 patient-matched normal thyroid tissues (11 from N0, 13 from N+ patients), and 4 normal lymph nodes; technical and biological replicates including additional nodal metastasis for 3 patients, adjacent blocks for 5 primary tumors, 4 normal thyroid tissues and 1 nodal metastasis.

Project description:To comprehensively characterize microRNAs (miRNA) expression and their target genes in thyroid cancer, we performed next-generation sequencing expression analysis of this disease. Recent studies have found that only the most abundant microRNAs mediate significant target suppression. We sequenced small RNA from 8 papillary thyroid carcinomas (PTC) with paired samples of normal thyroid tissue. We found that only a small set of abundant miRNAs are differentially expressed after pair-wise comparison (12 upregulated and 8 downregulated) reaching the minimum threshold amount to repress target mRNAs. We integrated computational prediction of potential targets and mRNA sequencing from the paired normal and tumor thyroid tissues from the same eight patients with PTC. The integrated analyses identified a master microRNA regulatory network in PTC that is involved in essential biological processes such as thyroid differentiation. As both mature products of miR-146b (miR-146b-5p and -3p) were among the most abundant upregulated in tumors, we unveil their target genes and found that miR-146b-3p specifically binds to the 3`UTR of PAX8 and NIS, leading to an impaired translation of the proteins and subsequently decreasing the iodide uptake of the cells. Furthermore, we show that mir-146b and PAX8 regulate each other, describing a novel regulatory circuit that determines the differentiated phenotype of PTC. In conclusion, our integrative genomic analysis uncovers the target genes of two of the most upregulated miRNAs and highlights the importance of a miR-146b3p-PAX8-NIS regulatory circuit that determines thyroid differentiation in thyroid cancer. Samples from Papillary Thyroid Carcinoma tumors (n=8) and contralateral normal thyroid tissue from the same patient (n=8) were collected at the Biobank of the Hospital Universitario La Paz (Madrid, Spain). The clinical characteristics of patients are summarized in Table S1. Surgically removed tissues were quickly frozen in liquid nitrogen until analysis. The samples were snap frozen on dry ice and stored at -80°C.

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