Evidence map›Paper›PMID 31520358›Full record

ReviewAdvances in experimental medicine and biology2019

What Drosophila Can Teach Us About Radiation Biology of Human Cancers.

Tin Tin Su

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2019. 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
–field-weighted citation impact, top 81% 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. Deciphering Ultra-High Dose Rate Irradiation withAntioxidants (Basel, Switzerland) · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. SVC112: From Hummingbirds to Head and Neck Cancer.Advances in experimental medicine and biology · 2025
    Article
  6. DNA repair in tumor radioresistance: insights from fruit flies genetics.Cellular oncology (Dordrecht, Netherlands) · 2024
    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

1 author at 1 institution in 1 country.

Tin Tin SuDepartment of Molecular, Cellular, and Developmental Biology 347 UCB, University of Colorado, Boulder, CO, USA. tin.su@colorado.edu.
University of Colorado Boulder · US

Funding

Cellular Plasticity and Regeneration after Radiation Damage in DrosophilaR35GM130374 · NIGMS · UNIVERSITY OF COLORADO · PI Tin Tin Su · 2019 to 2026
$3.2M
Consequences of Cell Death in DrosophilaR01GM106317 · NIGMS · UNIVERSITY OF COLORADO · PI SU, TIN TIN · 2014 to 2017
$1.2M
NIGMS NIH HHS R01 GM106317NIGMS NIH HHS R35 GM130374
6 · The paper itself

Abstract

Ionizing radiation (IR) is used to treat more than half of human cancer patients. The therapeutic effect of IR is due to its ability to induce apoptosis. Success of radiation therapy relies not only on apoptosis induction but also on whether surviving cancer cells proliferate and regenerate a tumor. Drosophila melanogaster is a premier genetic model and, relevant to radiation biology of cancer, Drosophila larvae display an amazing capacity to regenerate. IR doses that kill more than half of the cells in larval tissues still allow complete regeneration to produce an adult fly of normal size and pattern. It is by understanding not only the initial effects of IR such as DNA damage and cell death but also longer-term regenerative responses that we may manipulate and improve radiation therapy of cancer. In this regard, Drosophila offers an unparalleled model to study both types of responses.

Indexed as

Drosophila melanogasterAnimalsApoptosisDisease Models, AnimalHumansNeoplasmsRadiation, IonizingRadiobiologyApoptosisCancerDrosophilaIonizing radiationRegeneration

Identifiers

PMID31520358
OpenAlexW2972509932

What OpenQuestion holds

Textmetadata
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.