Evidence map›Paper›PMID 31494779›Full record

ReviewJournal of mammary gland biology and neoplasia2019

The Eleventh ENBDC Workshop: Advances in Technology Help to Unveil Mechanisms of Mammary Gland Development and Cancerogenesis.

Vida Vafaizadeh, Emilia Peuhu, Marja L Mikkola, Walid T Khaled, Mohamed Bentires-Alj, Zuzana Koledova

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of mammary gland biology and neoplasia, 2019. 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
–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

2 citing papers in PubMed.

  1. 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

6 authors.

Vida VafaizadehDepartment of Biomedicine, University of Basel, Basel, Switzerland.ORCID 0000-0002-0875-6246
Emilia PeuhuTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
Marja L MikkolaDevelopmental Biology Program, Institute of Biotechnology, HiLIFE, University of Helsinki, Helsinki, Finland.
Walid T KhaledDepartment of Pharmacology, University of Cambridge, Cambridge, UK.
Mohamed Bentires-AljDepartment of Biomedicine, Department of Surgery, University Hospital Basel, University of Basel, Basel, Switzerland.
Zuzana KoledovaDepartment of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czech Republic. koledova@med.muni.cz.ORCID 0000-0002-9333-1399

Funding

Cancer Research UK 17348Cancer Research UK 25850National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/N002369/1
6 · The paper itself

Abstract

The eleventh annual workshop of the European Network for Breast Development and Cancer, Methods in mammary gland biology and breast cancer, took place on the 16th to 18th of May 2019 in Weggis, Switzerland. The main topics of the meeting were high resolution genomics and proteomics for the study of mammary gland development and cancer, breast cancer signaling, tumor microenvironment, preclinical models of breast cancer, and tissue morphogenesis. Exciting novel findings in, or highly relevant to, mammary gland biology and breast cancer field were presented, with insights into the methods used to obtain them. Among others, the discussed methods included single-cell RNA sequencing, genetic barcoding, lineage tracing, spatial transcriptomics, optogenetics, genetic mouse models and organoids.

Indexed as

Tumor MicroenvironmentAnimalsBreastBreast NeoplasmsCarcinogenesisFemaleGenomicsHumansProteomicsSignal TransductionSocieties, ScientificBarcodingProteomicsSignalingTissue morphogenesisTranscriptomicsTumor microenvironment

Identifiers

PMID31494779

What OpenQuestion holds

Textmetadata
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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.