Evidence map›Paper›PMID 32824917›Full record

ArticleInternational journal of molecular sciences2020

High Numbers and Densities of PD1

Peter Bronsert, Anna von Schoenfeld, Jose Villacorta Hidalgo, Stefan Kraft, Jens Pfeiffer, Thalia Erbes, Martin Werner, Maximilian Seidl

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

6 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. 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

8 authors at 2 institutions in 1 country.

Peter BronsertInstitute of Surgical Pathology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany.ORCID 0000-0001-8558-0347
Anna von SchoenfeldInstitute of Surgical Pathology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany.
Jose Villacorta HidalgoInstitute of Surgical Pathology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany.
Stefan KraftCenter of Dermatopathology, Freiburg, 79106 Freiburg, Germany.
Jens PfeifferFaculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
Thalia ErbesGerman Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Martin WernerInstitute of Surgical Pathology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany.
Maximilian SeidlInstitute of Surgical Pathology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany.ORCID 0000-0002-5559-4980
University of Freiburg · DEDermatologie Freiburg · DE

Funding

Deutschen Konsortium für Translationale Krebsforschung NAresearch council ("Forschungskommission") of the Faculty of Medicine, University of Freiburg, Germany NA
6 · The paper itself

Abstract

Breast cancer tumor draining lymph nodes (TDLNs) display distinct morphologic changes depending on the breast cancer subtype. For triple-negative breast cancers (TNBC), draining LNs display a higher amount of secondary lymphoid follicles, which can be regarded as a surrogate marker for an activated humoral immune response. In the present study, we focus on PD1

Indexed as

AdultAgedFemaleGerminal CenterHumansMiddle AgedProgrammed Cell Death 1 ReceptorSentinel Lymph NodeSurvival AnalysisT-Lymphocytes, Helper-InducerTriple Negative Breast NeoplasmsProgrammed Cell Death 1 Receptorbreast cancergerminal centerPD1+ T-follicular helper cellstumor draining lymph node

Identifiers

PMID32824917
PMCPMC7504397
OpenAlexW3057950625

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.