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Related Concept Videos

Real Time RT-PCR02:57

Real Time RT-PCR

Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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Related Experiment Video

Updated: Jun 9, 2026

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
09:06

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method

Published on: October 7, 2025

[mRNA quantification. The next challenge in routine diagnostics].

A Jung1, S Jaitner, A J Schäffauer

  • 1Pathologisches Institut, Ludwig-Maximilians-Universität München, Thalkirchner Str. 36, 80337 München. andreas.jung@lmu.de

Der Pathologe
|September 9, 2010
PubMed
Summary
This summary is machine-generated.

Predictive biomarkers improve cancer treatment outcomes. Qualitative mutation detection (e.g., KRAS, EGFR) and quantitative mRNA expression analysis enhance patient response and survival rates.

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Area of Science:

  • Oncology
  • Biomarker Discovery
  • Molecular Diagnostics

Background:

  • Predictive biomarkers significantly enhance cancer patient response rates and overall survival.
  • Established examples include KRAS and EGFR mutations for targeted therapies in colorectal and lung cancers.
  • Biomarkers are also crucial for chemotherapeutics like 5-fluorouracil, platinum, and Irinotecan.

Purpose of the Study:

  • To highlight the impact of predictive biomarkers in oncology.
  • To differentiate between qualitative and quantitative biomarker detection methods.
  • To discuss the implications for clinical application and establishment.

Main Methods:

  • Review of existing literature on predictive biomarkers in cancer therapy.
  • Analysis of qualitative mutation detection for targeted therapies.
  • Examination of quantitative mRNA expression analysis for chemotherapeutics.

Main Results:

  • Qualitative detection of mutations (e.g., KRAS, EGFR) improves outcomes in targeted therapies.
  • Quantitative determination of mRNA expression levels for common chemotherapeutics also increases response and survival.
  • Quantitative methods require greater detection efforts, defined cut-off levels, and broader establishment.

Conclusions:

  • Predictive biomarkers are essential for optimizing cancer treatment efficacy.
  • Qualitative and quantitative biomarker approaches offer distinct advantages and challenges.
  • Standardization and accessibility of biomarker testing are key for widespread clinical benefit.