Evidence map›Paper›PMID 30102605›Full record

Trial reportApplied immunohistochemistry & molecular morphology : AIMM

Improved Tumor Purity Metrics in Next-generation Sequencing for Clinical Practice: The Integrated Interpretation of Neoplastic Cellularity and Sequencing Results (IINCaSe) Approach.

Nirali M Patel, Heejoon Jo, David A Eberhard, Xiaoying Yin, Michele C Hayward, Matthew K Stein, David Neil Hayes, Juneko E Grilley-Olson

Open access · hybridAbstract readClinical TrialComparative Study
In one paragraph

Trial report in Applied immunohistochemistry & molecular morphology : AIMM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. HighCancers · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Diagnostics (Basel, Switzerland) · 2025
    Article
  9. Article
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  12. Article
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  15. Article
  16. Integrative Analysis of miRNAs Identifies Clinically Relevant Epithelial and Stromal Subtypes of Head and Neck Squamous Cell Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  17. Article
  18. Fbxw7 is a driver of uterine carcinosarcoma by promoting epithelial-mesenchymal transition.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Nirali M PatelDepartment of Pathology and Laboratory Medicine.
Heejoon JoLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC.
David A EberhardDepartment of Pathology and Laboratory Medicine.
Xiaoying YinLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC.
Michele C HaywardLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC.
Matthew K SteinDepartment of Internal Medicine, Division of Hematology and Oncology.
David Neil HayesDepartment of Internal Medicine, Division of Hematology and Oncology.
Juneko E Grilley-OlsonLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC.
University of North Carolina at Chapel Hill · USUNC Lineberger Comprehensive Cancer CenterUniversity of Tennessee Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neoplastic cellularity contributes to the analytic sensitivity of most present technologies for mutation detection, such that they underperform when stroma and inflammatory cells dilute a cancer specimen's variant fraction. Thus, tumor purity assessment by light microscopy is used to determine sample adequacy before sequencing and to interpret the significance of negative results and mutant allele fraction afterwards. However, pathologist estimates of tumor purity are imprecise and have limited reproducibility. With the advent of massively parallel sequencing, large amounts of molecular data can be analyzed by computational purity algorithms. We retrospectively compared tumor purity of 3 computational algorithms with neoplastic cellularity using hematoxylin and eosin light microscopy to determine which was best for clinical evaluation of molecular profiling. Data were analyzed from 881 cancer patients from a clinical trial cohort, LCCC1108 (UNCseq), whose tumors had targeted massively parallel sequencing. Concordance among algorithms was poor, and the specimens analyzed had high rates of algorithm failure partially due to variable tumor purity. Computational tumor purity estimates did not add value beyond the pathologist's estimate of neoplastic cellularity microscopy. To improve present methods, we propose a semiquantitative, clinically applicable strategy based on mutant allele fraction and copy number changes present within a given specimen, which when combined with the morphologic tumor purity estimate, guide the interpretation of next-generation sequencing results in cancer patients.

Indexed as

AdolescentAdultAgedAged, 80 and overAlgorithmsChildChild, PreschoolCohort StudiesComputational BiologyFemaleHigh-Throughput Nucleotide SequencingHumansMaleMicroscopyMiddle AgedMutation

Identifiers

PMID30102605
PMCPMC6887630
OpenAlexW2885292229

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.