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Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

8.6K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
8.6K
  1. Home
  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. Targeted Sequencing Of Dna/rna Combined With Radiomics Predicts Lymph Node Metastasis Of Papillary Thyroid Carcinoma.
  1. Home
  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. Targeted Sequencing Of Dna/rna Combined With Radiomics Predicts Lymph Node Metastasis Of Papillary Thyroid Carcinoma.

Related Experiment Video

In Vivo Inhibition of MicroRNA to Decrease Tumor Growth in Mice
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In Vivo Inhibition of MicroRNA to Decrease Tumor Growth in Mice

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Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma.

Runjiao Zhang1,2, Linfei Hu2,3, Yanan Cheng1,2

  • 1Cancer Molecular Diagnostics Core, Key Laboratory of Cancer Immunology and Biotherapy, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Tianjin, China.

Cancer Imaging : the Official Publication of the International Cancer Imaging Society
|June 17, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Identifying aggressive papillary thyroid carcinoma (PTC) is crucial. Genetic alterations, particularly ATM mutations, combined with clinical and radiomic features, significantly improve lymph node metastasis prediction in PTC.

Keywords:
Clinical applicationDNA damage repairMutationNext generation sequencing

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Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

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Related Experiment Videos

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Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Papillary thyroid carcinoma (PTC) presents variable behaviors.
  • Accurate identification of aggressive PTC subtypes and prediction of lymph node metastasis are clinically significant.

Purpose of the Study:

  • To identify aggressive PTC subtypes.
  • To develop a predictive model for lymph node metastasis in PTC.

Main Methods:

  • Targeted DNA/RNA sequencing for genetic alterations.
  • Quantitative real-time PCR, western blotting, and immunohistochemistry for gene expression.
  • CCK8, transwell assay, and flow cytometry for functional analysis.
  • LASSO-logistics regression for nomogram model construction integrating radiomic, genetic, and clinical data.
Predictive model
Thyroid carcinoma
Ultrasonography

Main Results:

  • High-risk variants and gene fusions were detected. Mutation frequencies of BRAF, TERT, RET, ATM, and GGT1 were elevated in cancer tissues.
  • ATM mutations (ATMMUT) were associated with BRAFMUT, TERTMUT, or gene fusions and positively correlated with lymph node metastasis.
  • Combining genetic alterations and clinical features improved lymph node metastasis prediction accuracy from 71.5% to 87.0%.

Conclusions:

  • Comprehensive genetic alterations in PTC possess significant prognostic value.
  • Integrating genetic alterations with clinical and radiomic features enhances the accuracy of predicting invasive PTC and lymph node metastasis.