Dataset Information

Quantitative proteomics analysis of medullary thyroid carcinoma

ABSTRACT: Medullary thyroid cancer (MTC) accounts for less than 5% of all thyroid cancers, and it is a rare neuroendocrine tumor which derives from calcitonin-secreting thyroid C cells.Given the underlying mechanism involved in MTC remain unclear, the development and the specific pathways of MTC require further investigation.here we employed the application of TMT6plex-based LC-MS/MS to identify and analyze the novel differentially-expressed proteins(DEPs) from MTC patients, To our best knowledge, it is the first study to comprehensively investigate the molecular mechanisms of MTC by proteomics technology from Chinese MTC patients’ tissues, and these DEPs identified in our study will provide a better understanding of the underlying pathophysiology of MTC, as well as may provide potential therapeutic targets for patients with MTC.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Wei Ge

LAB HEAD: wei.ge

PROVIDER: PXD005898 | Pride | 2020-05-26

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	Human_reviewed_swissprot_20160907.fasta	Fasta
	MS161140-MTC-1.raw	Raw
	MS161140-MTC-10.raw	Raw
	MS161140-MTC-11_161031165414.raw	Raw
	MS161140-MTC-12.raw	Raw

Items per page:

1 - 5 of 23

Publications

Quantitative Proteomics Analysis of Sporadic Medullary Thyroid Cancer Reveals FN1 as a Potential Novel Candidate Prognostic Biomarker.

Zhan Shaohua S Li Jinming J Wang Tianxiao T Ge Wei W

The oncologist 20180508 12

<h4>Background</h4>Sporadic medullary thyroid cancer (MTC) is a rare neuroendocrine tumor. Currently, although the diagnosis of sporadic MTC is relatively simple, the need to discover novel candidate prognostic biomarkers for sporadic MTC and investigate the underlying mechanism involved in this rare disease is urgent.<h4>Materials and methods</h4>We employed tandem mass tag-based liquid chromatography-mass spectrometry to identify and analyze differentially expressed proteins (DEPs) in sporadic ...[more]

PMID: 29739896

Similar Datasets

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:Nowadays, risk stratification for oropharyngeal squamous cell carcinoma (OPSCC) is based on HPV status, tobacco smoking, and tumor stage. Although HPV positivity represents a strong prognostic factor for both reduced risk of relapse, and improved survival, there is a subset of HPV-positive OPSCC patients who still experience poor outcomes. Furthermore, HPV-negative OPSCC patients, who have an even higher risk of relapse within two years from the end of the treatment, are still lacking suitable prognostic biomarkers for clinical outcome. In this scenario, inclusion of new biomarkers that differentiate OPSCC patients with a diverse prognosis is urgently needed. Since genes encoding for epigenetic regulators have been frequently found mutated in several tumors, including OPSCC, it is expected that epigenetic changes may play a major role in OPSCC pathogenesis and response to therapy. Consistently, HPV oncoproteins have been also demonstrated to impact on epigenetic pattern by interacting with different epigenetic regulators, thus affecting the chromatin landscape of OPSCC HPV-positive cells. Along this line, we have recently demonstrated the methylation levels of the “Long interspersed nucleotide element-1” (LINE-1) repetitive elements, a widely accepted surrogate of overall genomic DNA methylation content, was different between HPV16-positive and -negative OPSCC patients. In particular, the lowest level of LINE-1 element methylation was observed in HPV16-negative OPSCC patients who relapsed within 24 months, thus indicating the overall level of genomic DNA methylation may have an impact on early OPSCC relapse risk. Despite these promising initial data, the influence of LINE1 methylation levels on OPSCC survival is not yet well defined. We retrospectively reviewed a cohort of 156 patients with stage III–IVB (AJCC TNM 7th Ed.) OPSCC. Forty patients were diagnosed and treated at Treviso Regional Hospital, and 116 at National Cancer Institute of Aviano and/or Pordenone Hospital. All patients were managed with curative intent with elective radiotherapy ± chemotherapy or surgery ± adjuvant (chemo)radiotherapy, in accordance with current clinical practice. Genomic DNA was extracted from OPSCC formalin-fixed paraffin-embedded tissues. The quantification of HPV16 DNA was performed by real-time quantitative PCR by using specific primers for the amplification of a region spanning the E6 genes of the HPV16 genome, whereas the methylation status of LINE1 repetitive sequences was evaluated by real-time quantitative Methylation-Specific PCR. The impact of genome-wide methylation patterns on progression-free survival (PFS) and overall survival (OS) was assessed using Kaplan-Meier analyses. Optimal cut-points for LINE-1 were search through a recursive algorithm which estimates the predictive value for PFS (Harrell's c-index) for each possible couple of LINE-1 values; optimal cut-points were defined as those which maximized Harrell's c-index. Multivariate hazard risk (HR) and corresponding confidence intervals (CI) were calculated according to Cox proportional hazard model adjusting for gender, age, TNM stage, and HPV status.The median follow up was 30 months (interquartile range: 17-72 months) Considering all cases, PFS and OS were respectively 64.6% and 71.8% at 2 years, and 49.5% and 53.7% at 5 years. HPV DNA prevalence was 28.8% (45/156). Compared to HPV-negative patients, HPV-positive ones had a better outcome in terms of PFS at 2 (81.0% vs. 58.2%) and 5 years (70.9% vs 41.6%; p=0.003), as well as in terms of OS (5-year OS: 74.1 vs. 45.9%, respectively; p=0.003). LINE-1 methylation level was significantly higher in HPV-positive OPSCC patients than in HPV-negative ones (median, 66.9% and 48.7% respectively; p<0.001). Three patterns of LINE-1 methylation status were indentified according to PFS: high ≥55%, medium 35-54%, low <35%. The same cut-points were identified from the analysis on OS. Analyzing all patients, PFS at 2 years was 75.9% in the high methylation group, 62.0% in the intermediate group, and 41.6% in the low methylation group (p≤0.001). Compared to LINE-1≥55%, multivariate HR were 1.66 (95% CI: 0.92-2.99) for LINE-1 35-54% and 2.84 (95% CI: 1.51-5.37) for LINE-1<35%. Moreover, OS at 2 and 5 years was significantly better in the high methylation group (p<0.001), with HRs of death similar to those for PFS. It is worth noting that the level of LINE-1 remained a prognostic factor for both PFS (p= 0.004) and of OS (p=0.011) when we restricted the analysis to HPV-negative patients. Among these patients, the multivariate HRs for LINE-1<35% were 2.87 (95% CI: 1.49-5.52) for PFS and 2.86 (1.43-5.74) for OS. In HPV-positive group, respect to patients with LINE-1 <55%, cases with a LINE-1≥55% have had better trend in terms of PFS and OS, but this difference was not statistically significant (p=0.112; p= 0.113), mainly due to small sample size. Between HPV-positive patients, only one had a methylation of LINE-1 < 35%. LINE-1 methylation has been identified as a molecular marker of prognosis for stage III-IV OPSCC patients, becoming a promising biomarker to be integrated in current prognostic factors (e.g., stage, HPV status, tobacco smoking) to refine the comprehensive clinical management of OPSCC. This is of particular clinical relevance for HPV-positive OPSCC patients, since this marker may help in indentify the subset of these patients with bad prognosis. However, further validation in a prospective study is needed for its application in daily clinical practice.