Evidence map›Paper›PMID 30595971›Full record

ReviewCurrent pathobiology reports2018

Tumor Pre-Analytics in Molecular Pathology: Impact on Protein Expression and Analysis.

Veronique M Neumeister, Hartmut Juhl

Abstract readReview
In one paragraph

Review in Current pathobiology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Optimizing Tissue Sampling Timing for Accurate Gene Expression Analysis.International journal of molecular sciences · 2025
    Article
  3. Analysis of DNA Methylation in Gliomas: Assessment of Preanalytical Variables.Laboratory investigation; a journal of technical methods and pathology · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Essentials of Multiomics.The oncologist · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. A Root Cause Analysis Into the High Error Rate in Clinical Immunohistochemistry.Applied immunohistochemistry & molecular morphology : AIMM
    Article
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

2 authors.

Veronique M NeumeisterIndivumed, GmbH, Falkenried 88, D-20251 Hamburg, Germany.
Hartmut JuhlIndivumed, GmbH, Falkenried 88, D-20251 Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewPrecision medicine promises patient tailored, individualized diagnosis and treatment of diseases and relies on clinical specimen integrity and accuracy of companion diagnostic testing. Therefore, pre-analytics, which are defined as the collection, processing, and storage of clinical specimens, are critically important to enable optimal diagnostics, molecular profiling, and clinical decision-making around harvested specimens. This review article discusses the impact of tumor pre-analytics on molecular pathology focusing on biospecimen protein expression and analysis. RECENT

findingsDue to busy clinical schedules and workflows that have been established for many years and to lack of standardization and limited assessment tools to quantify variability in pre-analytical processing, the effects of pre-analytics on biospecimen integrity are often overlooked. Several studies have recently emphasized an emerging crisis in science and reproducibility of results. SUMMARY: Biomarker instability due to pre-analytical variables affects comprehensive analysis and molecular phenotyping of patients' tissue. This problematic emphasizes the critical need for standardized protocols and technologies to be applied in the clinical and research setting.

Indexed as

Biospecimen processing and storageProtein biomarkers as companion diagnosticsTissue integrityTumor pre-analytics in precision medicine

Identifiers

PMID30595971
PMCPMC6290693

What OpenQuestion holds

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LicenceCC BY
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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.