Evidence map›Paper›PMID 26439683›Full record

ArticleBritish journal of cancer2015

Automated prognostic pattern detection shows favourable diffuse pattern of FOXP3(+) Tregs in follicular lymphoma.

Lilli S Nelson, James R Mansfield, Roslyn Lloyd, Kenneth Oguejiofor, Zena Salih, Lia P Menasce, Kim M Linton, Chris J Rose, Richard J Byers

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Spatial Heterogeneity in the Tumor Microenvironment.Cold Spring Harbor perspectives in medicine · 2016
    Review
  7. 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

9 authors at 3 institutions in 2 countries.

Lilli S NelsonMedical School, The University of Manchester, Oxford Road, Manchester M13 9PT, UK.
James R MansfieldPerkin-Elmer, 68 Elm Street, Hopkinton, Massachusetts 01748, USA.
Roslyn LloydPerkin-Elmer, 68 Elm Street, Hopkinton, Massachusetts 01748, USA.
Kenneth OguejioforInstitute of Cancer Sciences, The University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Zena SalihDepartment of Medical Oncology, The Christie Foundation NHS Trust, 550 Wilmslow Rd, Manchester M20 4BX, UK.
Lia P MenasceDepartment of Histopathology, The Christie Foundation NHS Trust, 550 Wilmslow Rd, Manchester M20 4BX, UK.
Kim M LintonInstitute of Cancer Sciences, The University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Chris J RoseInstitute of Population Health, The University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Richard J ByersInstitute of Cancer Sciences, The University of Manchester, Oxford Road, Manchester M13 9PT, UK.
University of Manchester · GBThe Christie NHS Foundation Trust · GBPerkinElmer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHistopathological prognostication relies on morphological pattern recognition, but as numbers of biomarkers increase, human prognostic pattern-recognition ability decreases. Follicular lymphoma (FL) has a variable outcome, partly determined by FOXP3 Tregs. We have developed an automated method, hypothesised interaction distribution (HID) analysis, to analyse spatial patterns of multiple biomarkers which we have applied to tumour-infiltrating lymphocytes in FL.

methodsA tissue microarray of 40 patient samples was used in triplex immunohistochemistry for FOXP3, CD3 and CD69, and multispectral imaging used to determine the numbers and locations of CD3(+), FOXP3/CD3(+) and CD69/CD3(+) T cells. HID analysis was used to identify associations between cellular pattern and outcome.

resultsHigher numbers of CD3(+) (P=0.0001), FOXP3/CD3(+) (P=0.0031) and CD69/CD3(+) (P=0.0006) cells were favourable. Cross-validated HID analysis of cell pattern identified patient subgroups with statistically significantly different survival (35.5 vs 142 months, P=0.00255), a more diffuse pattern associated with favourable outcome and an aggregated pattern with unfavourable outcome.

conclusionsA diffuse pattern of FOXP3 and CD69 positivity was favourable, demonstrating ability of HID analysis to automatically identify prognostic cellular patterns. It is applicable to large numbers of biomarkers, representing an unsupervised, automated method for identification of undiscovered prognostic cellular patterns in cancer tissue samples.

Indexed as

AdultAgedAntigens, CDAntigens, Differentiation, T-LymphocyteBiomarkers, TumorCD3 ComplexCD69 AntigensFemaleForkhead Transcription FactorsHumansLectins, C-TypeLymphocytes, Tumor-InfiltratingLymphoma, FollicularMaleMiddle AgedPrognosisAntigens, CDAntigens, Differentiation, T-LymphocyteBiomarkers, TumorCD3 ComplexCD69 AntigensForkhead Transcription FactorsFOXP3 protein, humanLectins, C-Type

Identifiers

PMID26439683
PMCPMC4647874
OpenAlexW2253252582

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.