Evidence map›Paper›PMID 27745603›Full record

ReviewCytotherapy2016

Genetically modified mesenchymal stromal cells in cancer therapy.

Elizabeth K Sage, Ricky M Thakrar, Sam M Janes

Open access · hybridAbstract readReview
In one paragraph

Review in Cytotherapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

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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.

Elizabeth K SageLungs for Living Research Centre, UCL Respiratory, Rayne Institute, University College London, London, United Kingdom.
Ricky M ThakrarLungs for Living Research Centre, UCL Respiratory, Rayne Institute, University College London, London, United Kingdom; Department of Thoracic Medicine, University College London Hospital, London, United Kingdom.
Sam M JanesLungs for Living Research Centre, UCL Respiratory, Rayne Institute, University College London, London, United Kingdom; Department of Thoracic Medicine, University College London Hospital, London, United Kingdom. Electronic address: s.janes@ucl.ac.uk.
University College Hospital · GBUniversity College London · GB

Funding

Cancer Research UKDepartment of HealthMedical Research Council G1000355Medical Research Council MR/M015831/1Wellcome Trust WT107963AIA
6 · The paper itself

Abstract

The cell therapy industry has grown rapidly over the past 3 decades, and multiple clinical trials have been performed to date covering a wide range of diseases. The most frequently used cell is mesenchymal stromal cells (MSCs), which have been used largely for their anti-inflammatory actions and in situations of tissue repair and although they have demonstrated a good safety profile, their therapeutic efficacy has been limited. In addition to these characteristics MSCs are being used for their homing and engraftment properties and have been genetically modified to enable targeted delivery of a variety of therapeutic agents in both malignant and nonmalignant conditions. This review discusses the science and technology behind genetically modified MSC therapy in malignant disease and how potential problems have been overcome to enable their use in two novel clinical trials in metastatic gastrointestinal and lung cancer.

Indexed as

Genetic TherapyMesenchymal Stem Cell TransplantationAnimalsClinical Trials as TopicHumansMesenchymal Stem CellsNeoplasmsWound Healing

Identifiers

PMID27745603
PMCPMC5082580
OpenAlexW2530349582

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.