Evidence map›Paper›PMID 31990369›Full record

ReviewThe Journal of pathology2020

Radiation-induced tissue damage and response.

William H McBride, Dörthe Schaue

Registry-linked trialAbstract readReview
In one paragraph

Review in The Journal of pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05684432 (Frequency and Classification of Radiation-induced Diarrhoea in Patients With Prostate and Rectal Cancer During Curative External Radiotherapy), which is not on this map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing 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.

NCT05684432 completednot on this mapstarted 2022, after this paper: background citation

Frequency and Classification of Radiation-induced Diarrhoea in Patients With Prostate and Rectal Cancer During Curative External Radiotherapy

TypeobservationalSponsorAalborg University HospitalRan2022 to 2024Enrolled40ConditionsRadiation-induced Diarrhoea in Prostate and Rectal CancerArmsNo intervention
3 · Its place in the literature

Who cites it

82 citing papers in PubMed.

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22 more citing papers are in PubMed but not listed here.

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

2 authors.

William H McBrideDepartent of Radiation Oncology, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.ORCID 0000-0001-5008-3180
Dörthe SchaueDepartent of Radiation Oncology, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.

Funding

UCLA Center for Biological RadioprotectorsU19AI067769 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHUTE, JOHN P, MCBRIDE, WILLIAM H. · 2005 to 2019
$44.6M
Acute radiation injury alters microRNA profiles that predict late tissue-specific damageU01AI148322 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SCHAUE, DORTHE · 2020 to 2024
$2.4M
Myeloid reprogramming in response to acute radiation tissue damageR01CA226875 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SCHAUE, DORTHE · 2019 to 2023
$1.8M
Radiotherapy-induced tumor immunityR01CA191234 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SCHAUE, DORTHE · 2015 to 2019
$1.8M
NCI NIH HHS R01 CA191234NCI NIH HHS R01 CA226875NIAID NIH HHS U01 AI148322NIAID NIH HHS U19 AI067769
6 · The paper itself

Abstract

Normal tissue responses to ionizing radiation have been a major subject for study since the discovery of X-rays at the end of the 19th century. Shortly thereafter, time-dose relationships were established for some normal tissue endpoints that led to investigations into how the size of dose per fraction and the quality of radiation affected outcome. The assessment of the radiosensitivity of bone marrow stem cells using colony-forming assays by Till and McCulloch prompted the establishment of in situ clonogenic assays for other tissues that added to the radiobiology toolbox. These clonogenic and functional endpoints enabled mathematical modeling to be performed that elucidated how tissue structure, and in particular turnover time, impacted clinically relevant fractionated radiation schedules. More recently, lineage tracing technology, advanced imaging and single cell sequencing have shed further light on the behavior of cells within stem, and other, cellular compartments, both in homeostasis and after radiation damage. The discovery of heterogeneity within the stem cell compartment and plasticity in response to injury have added new dimensions to the consideration of radiation-induced tissue damage. Clinically, radiobiology of the 20th century garnered wisdom relevant to photon treatments delivered to a fairly wide field at around 2 Gy per fraction, 5 days per week, for 5-7 weeks. Recently, the scope of radiobiology has been extended by advances in technology, imaging and computing, as well as by the use of charged particles. These allow radiation to be delivered more precisely to tumors while minimizing the amount of normal tissue receiving high doses. One result has been an increase in the use of schedules with higher doses per fraction given in a shorter time frame (hypofractionation). We are unable to cover these new technologies in detail in this review, just as we must omit low-dose stochastic effects, and many aspects of dose, dose rate and radiation quality. We argue that structural diversity and plasticity within tissue compartments provides a general context for discussion of most radiation responses, while acknowledging many omissions. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.

Indexed as

Dose-Response Relationship, RadiationAcute Radiation SyndromeDNA DamageHumansNeoplasmsRadiation ToleranceTime Factorsacute and late responsessenescenceautophagyinflammationregenerationclonogenionizing radiationoxidative stressstem cell

Identifiers

PMID31990369
PMCPMC7216989

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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 Socratic graph.