Evidence map›Paper›PMID 31783695›Full record

ReviewCancers2019

Bioprofiling TS/A Murine Mammary Cancer for a Functional Precision Experimental Model.

Carla De Giovanni, Giordano Nicoletti, Lorena Landuzzi, Arianna Palladini, Pier-Luigi Lollini, Patrizia Nanni

Abstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Evaluating [International journal of molecular sciences · 2023
    Article
  9. Article
  10. Article
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  12. Radiotherapy Delivered before CDK4/6 Inhibitors Mediates Superior Therapeutic Effects in ERClinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. 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.

Carla De GiovanniDepartment of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum University of Bologna, Bologna I-40126, Italy.
Giordano NicolettiLaboratory of Experimental Oncology, IRCCS Istituto Ortopedico Rizzoli, Bologna I-40136, Italy.
Lorena LanduzziLaboratory of Experimental Oncology, IRCCS Istituto Ortopedico Rizzoli, Bologna I-40136, Italy.
Arianna PalladiniDepartment of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum University of Bologna, Bologna I-40126, Italy.
Pier-Luigi LolliniDepartment of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum University of Bologna, Bologna I-40126, Italy.
Patrizia NanniDepartment of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum University of Bologna, Bologna I-40126, Italy.

Funding

Department of Experimental, Diagnostic and Specialty Medicine of the University of Bologna (DIMES) Pallotti grantItalian Association for Cancer Research (AIRC) IG15324University of Bologna n.a.
6 · The paper itself

Abstract

The TS/A cell line was established in 1983 from a spontaneous mammary tumor arisen in an inbred BALB/c female mouse. Its features (heterogeneity, low immunogenicity and metastatic ability) rendered the TS/A cell line suitable as a preclinical model for studies on tumor-host interactions and for gene therapy approaches. The integrated biological profile of TS/A resulting from the review of the literature could be a path towards the description of a precision experimental model of mammary cancer.

Indexed as

gene therapyimmunotherapymetastasesmurine mammary cancerpreclinical modelsTS/A

Identifiers

PMID31783695
PMCPMC6966465

What OpenQuestion holds

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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.