Evidence map›Paper›PMID 25502176›Full record

ReviewLaboratory investigation; a journal of technical methods and pathology2015

Quantitative measurement of cancer tissue biomarkers in the lab and in the clinic.

Daniel E Carvajal-Hausdorf, Kurt A Schalper, Veronique M Neumeister, David L Rimm

Open access · bronzeAbstract readReview
In one paragraph

Review in Laboratory investigation; a journal of technical methods and pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 96 citations in OpenAlex.

  1. Article
  2. Quantitative Assays for TROP2 Measurement in Breast Cancer and Comparison to H-Score.Applied immunohistochemistry & molecular morphology : AIMM · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Noninvasive PET imaging of tumor PD-L1 expression withAmerican journal of nuclear medicine and molecular imaging · 2024
    Article
  8. Article
  9. Quantile Index Biomarkers Based on Single-Cell Expression Data.Laboratory investigation; a journal of technical methods and pathology · 2023
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Multiplex Tissue Imaging Harmonization: A Multicenter Experience from CIMAC-CIDC Immuno-Oncology Biomarkers Network.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  19. Spatial Analysis and Clinical Significance of HLA Class-I and Class-II Subunit Expression in Non-Small Cell Lung Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Daniel E Carvajal-HausdorfDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.
Kurt A SchalperDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.
Veronique M NeumeisterDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.
David L RimmDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.
Yale University · US

Funding

Optimal Predictors of Response to TrastuzumabR01CA139431 · NCI · YALE UNIVERSITY · PI HARRIS, LYNDSAY NORINE, RIMM, DAVID L · 2009 to 2010
$1.2M
NCI NIH HHS R01 CA139431
6 · The paper itself

Abstract

Detection of biomolecules in tissues provides contextual information and the possibility to assess the interaction of different cell types and markers. Routine qualitative assessment of immune- and oligonucleotide-based methods in research and the clinic has been associated with assay variability because of lack of stringent validation and subjective interpretation of results. As a result, the vast majority of in situ assays in clinical usage are nonquantitative and, although useful, often of questionable scientific validity. Here, we revisit the reporters and methods used for single- and multiplexed in situ visualization of protein and RNA. Then we examine methods for the use of quantitative platforms for in situ measurement of protein and mRNA levels. Finally, we discuss the challenges of the transition of these methods to the clinic and their potential role as tools for development of companion diagnostic tests.

Indexed as

Biomarkers, TumorCell Line, TumorFemaleHumansImmunohistochemistryMaleMass SpectrometryMolecular ImagingNeoplasmsBiomarkers, Tumor

Identifiers

PMID25502176
PMCPMC4383674
OpenAlexW2085299433

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.