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Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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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...
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Metallic Solids02:37

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Metallic solids such as crystals of copper, aluminum, and iron are formed by metal atoms. The structure of metallic crystals is often described as a uniform distribution of atomic nuclei within a “sea” of delocalized electrons. The atoms within such a metallic solid are held together by a unique force known as metallic bonding that gives rise to many useful and varied bulk properties.
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Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
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Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
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Network Covalent Solids02:18

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Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
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Related Experiment Video

Updated: Feb 6, 2026

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

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Long non-coding RNA CASC2 in solid tumors: A meta-analysis.

Chaojie Liang1, Jinghong Zhang1, Hua Ge1

  • 1Department of General Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.

Clinica Chimica Acta; International Journal of Clinical Chemistry
|August 26, 2018
PubMed
Summary

This meta-analysis found that low expression of cancer susceptibility 2 (CASC2) is linked to advanced cancer characteristics. Higher CASC2 levels correlate with better patient survival, suggesting CASC2 as a potential cancer biomarker.

Keywords:
LncRNA CASC2Meta-analysisNeoplasmPrognosis

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Last Updated: Feb 6, 2026

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Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Long non-coding RNA cancer susceptibility 2 (CASC2) is frequently downregulated in human solid tumors.
  • Previous studies had limited sample sizes, leaving the role of CASC2 in cancer unclear.

Purpose of the Study:

  • To conduct a meta-analysis to explore the role of CASC2 in solid tumors.
  • To investigate the association between CASC2 expression and clinicopathological characteristics and prognosis of cancer patients.

Main Methods:

  • Systematic literature search across multiple databases (PubMed, Medline, Web of Science, EMBASE, etc.).
  • Meta-analysis of 15 studies involving 1158 patients.
  • Analysis of The Cancer Genome Atlas (TCGA) dataset for CASC2 expression.

Main Results:

  • Low CASC2 expression correlated with larger tumor size, lower differentiation, and advanced TNM stage.
  • High CASC2 expression was associated with improved overall survival (OS) and disease-free survival (DFS).
  • CASC2 was identified as an independent predictive factor for OS.

Conclusions:

  • Reduced CASC2 expression is linked to unfavorable clinicopathological features in human cancers.
  • CASC2 shows potential as a prognostic biomarker for cancer.
  • Further research is recommended to validate these findings.