Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Polygenic Score Identifies Athletes at Increased Risk for Slower Recovery After Sport-Related Concussion: A Concussion Assessment, Research, and Education (CARE) Consortium Study.

Sports medicine (Auckland, N.Z.)Ā·2026
Same author

Regulatory mechanisms driven by functional 3'-UTR variants in alcohol use disorder and related traits.

Genome biologyĀ·2026
Same author

Quantification of Antibody-Drug Conjugate Targets in Head and Neck Squamous Cell Carcinoma.

Molecular cancer therapeuticsĀ·2026
Same author

Temperature-Dependent Long-term and Short-term Stability of Human Epidermal Growth Factor 2 Antigenicity on Pathology Slides.

Archives of pathology & laboratory medicineĀ·2026
Same author

Pathological response to herceptin-containing neoadjuvant therapy in HER2 IHC2+/ISH+ and IHC3+ early-stage invasive ductal carcinoma.

Human pathologyĀ·2026
Same author

Loss of luminal lineage drives resistance to next-generation ERα antagonists in pretreated ER<sup>+</sup> HER2<sup>-</sup> locally-advanced or metastatic breast cancer.

Nature communicationsĀ·2026

Related Experiment Video

Updated: Jun 14, 2026

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
07:54

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

Published on: October 25, 2011

Analytic variability in immunohistochemistry biomarker studies.

Valsamo K Anagnostou1, Allison W Welsh, Jennifer M Giltnane

  • 1Department of Pathology, Yale Cancer Center, New Haven, CT, USA. valsamo.anagnostou@yale.edu

Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology
|March 25, 2010
PubMed
Summary

Antibody variability in immunohistochemistry (IHC) impacts cancer biomarker assessment. Standardizing IHC protocols and validating antibodies are crucial for reliable diagnostic and prognostic results in cancer research.

More Related Videos

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
09:17

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
08:40

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

Related Experiment Videos

Last Updated: Jun 14, 2026

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
07:54

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

Published on: October 25, 2011

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
09:17

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
08:40

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

Area of Science:

  • Biomarker research
  • Cancer diagnostics
  • Immunohistochemistry (IHC)

Background:

  • Immunohistochemistry (IHC) is widely used for cancer biomarker assessment.
  • Lack of standardization for antibody variability poses challenges in IHC studies.
  • This study investigates the impact of different antibody reagents on IHC results.

Purpose of the Study:

  • To evaluate the variability of different antibody clones for Estrogen Receptor (ER), Epidermal Growth Factor Receptor (EGFR), and Human Epidermal Growth Factor Receptor 3 (HER3).
  • To assess the correlation between antibody performance and patient survival outcomes.
  • To highlight the need for standardization in IHC antibody usage for biomarker studies.

Main Methods:

  • Quantitative immunofluorescence and western blotting were used to evaluate antibody specificity and correlation.
  • Multiple antibody clones for ER, EGFR, and HER3 were tested in breast and lung cancer patient cohorts.
  • Survival analysis was performed using various cutoff points to determine prognostic significance.

Main Results:

  • Estrogen Receptor (ER) antibodies showed high correlation, confirming specificity.
  • Epidermal Growth Factor Receptor (EGFR) antibodies varied in specificity and correlation; only specific clones (31G7, 2-18C9) showed strong association.
  • HER3 staining was found to be nonspecific and nonreproducible.
  • Prognostic significance of EGFR was observed with specific antibodies (H11, 31G7), but not with others.

Conclusions:

  • Antibody validation is critical for accurate IHC readings in biomarker studies.
  • Quality control and proficiency evaluation are essential for IHC standardization.
  • Standardized IHC protocols can improve the clinical relevance of biomarker assessments.