Evidence map›Paper›PMID 17897680›Full record

ArticleJournal of theoretical biology2007

Second cancers after fractionated radiotherapy: stochastic population dynamics effects.

Rainer K Sachs, Igor Shuryak, David Brenner, Hatim Fakir, Lynn Hlatky, Philip Hahnfeldt

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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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

6 authors.

Rainer K SachsDepartments of Mathematics and of Physics, University of California, 970 Evans Hall, MC 3840, Berkeley, CA 94720, USA. sachs@math.berkeley.edu
Igor Shuryak
David Brenner
Hatim Fakir
Lynn Hlatky
Philip Hahnfeldt

Funding

TR&D 3P41EB002033 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRENNER, DAVID JONATHAN · 2003 to 2018
$17.0M
CANCER EPIDEMIOLOGY/BIOSTATISTICS/ENVIRONMENTAL SCIENCEST32CA009529 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NEUGUT, ALFRED I. · 1985 to 2012
$4.3M
QUANTIFYING EFFECTIVENESS OF ANGIOGENIC INHIBITORSR01CA078496 · NCI · DANA-FARBER CANCER INSTITUTE · PI HAHNFELDT, PHILIP · 1998 to 2004
$1.1M
Updating Chromosome Aberration Simulator (CAS) SoftwareR01GM068423 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SACHS, RAINER K · 2003 to 2006
$785k
NCI NIH HHS 5-T32-CA09529NCI NIH HHS CA78496NCI NIH HHS R01 CA078496NCI NIH HHS T32 CA009529NIBIB NIH HHS P41 EB-002033NIBIB NIH HHS P41 EB002033NIGMS NIH HHS R01 GM068423
6 · The paper itself

Abstract

When ionizing radiation is used in cancer therapy it can induce second cancers in nearby organs. Mainly due to longer patient survival times, these second cancers have become of increasing concern. Estimating the risk of solid second cancers involves modeling: because of long latency times, available data is usually for older, obsolescent treatment regimens. Moreover, modeling second cancers gives unique insights into human carcinogenesis, since the therapy involves administering well-characterized doses of a well-studied carcinogen, followed by long-term monitoring. In addition to putative radiation initiation that produces pre-malignant cells, inactivation (i.e. cell killing), and subsequent cell repopulation by proliferation, can be important at the doses relevant to second cancer situations. A recent initiation/inactivation/proliferation (IIP) model characterized quantitatively the observed occurrence of second breast and lung cancers, using a deterministic cell population dynamics approach. To analyze if radiation-initiated pre-malignant clones become extinct before full repopulation can occur, we here give a stochastic version of this IIP model. Combining Monte-Carlo simulations with standard solutions for time-inhomogeneous birth-death equations, we show that repeated cycles of inactivation and repopulation, as occur during fractionated radiation therapy, can lead to distributions of pre-malignant cells per patient with variance>>mean, even when pre-malignant clones are Poisson-distributed. Thus fewer patients would be affected, but with a higher probability, than a deterministic model, tracking average pre-malignant cell numbers, would predict. Our results are applied to data on breast cancers after radiotherapy for Hodgkin disease. The stochastic IIP analysis, unlike the deterministic one, indicates: (a) initiated, pre-malignant cells can have a growth advantage during repopulation, not just during the longer tumor latency period that follows; (b) weekend treatment gaps during radiotherapy, apart from decreasing the probability of eradicating the primary cancer, substantially increase the risk of later second cancers.

Indexed as

Models, BiologicalCell Transformation, NeoplasticDose Fractionation, RadiationHumansNeoplasmsNeoplasms, Radiation-InducedNeoplasms, Second PrimaryNeoplastic Stem CellsRadiotherapyRisk AssessmentStochastic Processes

Identifiers

PMID17897680
PMCPMC2169295

What OpenQuestion holds

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Registered trials

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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.