Evidence map›Paper›PMID 34608214›Full record

ArticleScientific reports2021

Determining the immune environment of cutaneous T-cell lymphoma lesions through the assessment of lesional blood drops.

Kan Torii, Yukinori Okada, Akimichi Morita

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Assessing T-Cell Profile Shifts through IL-23 Inhibition by Guselkumab on Psoriasis.JID innovations : skin science from molecules to population health · 2026
    Article
  2. 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

3 authors at 2 institutions in 1 country.

Kan Torii *Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Mizuho-Ku, Nagoya, 467-8601, Japan.ORCID 0000-0003-1964-0529
Yukinori OkadaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID 0000-0002-0311-8472
Akimichi Morita *Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Mizuho-Ku, Nagoya, 467-8601, Japan. amorita@med.nagoya-cu.ac.jp.ORCID 0000-0001-8372-3754
Nagoya City University · JPThe University of Osaka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detailed analysis of the cells that infiltrate lesional skin cannot be performed in skin biopsy specimens using immunohistochemistry or cell separation techniques because enzyme treatments applied during the isolation step can destroy small amounts of protein and minor cell populations in the biopsy specimen. Here, we describe a method for isolating T cells from drops of whole blood obtained from lesions during skin biopsy in patients with cutaneous T-cell lymphoma. Lesional blood is assumed to contain lesional resident cells, cells from capillary vessels, and blood overflowing from capillary vessels into the lesion area. The lesional blood showed substantial increases in distinct cell populations, chemokines, and the expression of various genes. The proportion of CD8

Indexed as

Biomarkers, TumorAdultAgedAged, 80 and overDisease ManagementDisease SusceptibilityFemaleHumansImmunohistochemistryImmunophenotypingLymphocyte CountLymphocytes, Tumor-InfiltratingLymphoma, T-Cell, CutaneousMaleMiddle AgedNeoplasm StagingBiomarkers, TumorReceptors, Antigen, T-Cell

Identifiers

PMID34608214
PMCPMC8490448
OpenAlexW3202626262

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.