Evidence map›Paper›PMID 26461005›Full record

ArticleInternational journal of radiation oncology, biology, physics2015

Integration of a Radiosensitivity Molecular Signature Into the Assessment of Local Recurrence Risk in Breast Cancer.

Javier F Torres-Roca, William J Fulp, Jimmy J Caudell, Nicolas Servant, Marc A Bollet, Marc van de Vijver, Arash O Naghavi, Eleanor E Harris, Steven A Eschrich

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

68 citing papers in PubMed, 120 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Machine Learning & Molecular Radiation Tumor Biomarkers.Seminars in radiation oncology · 2023
    Review
  20. Evolution-Informed Strategies for Combating Drug Resistance in Cancer.International journal of molecular sciences · 2023
    Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Javier F Torres-RocaDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida; Department of Chemical Biology and Molecular Medicine, Moffitt Cancer Center, Tampa, Florida. Electronic address: javier.torresroca@moffitt.org.
William J FulpDepartment of Bioinformatics, Moffitt Cancer Center, Tampa, Florida; Department of Biostatistics, Moffitt Cancer Center, Tampa, Florida.
Jimmy J CaudellDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida.
Nicolas ServantInstitut Curie, INSERM U900, Paris, France; Mines ParisTech, Paris, France.
Marc A BolletInstitut Curie, INSERM U900, Paris, France.
Marc van de VijverNetherlands Cancer Institute, Amsterdam, The Netherlands.
Arash O NaghaviDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida.
Eleanor E HarrisEast Carolina University, Greensborough, North Carolina.
Steven A EschrichDepartment of Bioinformatics, Moffitt Cancer Center, Tampa, Florida.
Moffitt Cancer Center · USInserm · FREast Carolina University · USThe Netherlands Cancer Institute · NL

Funding

Molecular Profiling to Predict Response to ChemotherapyR21CA101355 · NCI · H. LEE MOFFITT CANCER CTR &RES INST · PI YEATMAN, TIMOTHY J · 2003 to 2004
$725k
Validation of a Predictive Model of Clinical Response to Concurrent RadiochemotheR21CA135620 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI TORRES-ROCA, JAVIER F · 2009 to 2010
$712k
NCI NIH HHS R21 CA101355NCI NIH HHS R21CA101355/R21CA135620NCI NIH HHS R21 CA135620
6 · The paper itself

Abstract

purposeRecently, we developed radiosensitivity (RSI), a clinically validated molecular signature that estimates tumor radiosensitivity. In the present study, we tested whether integrating RSI with the molecular subtype refines the classification of local recurrence (LR) risk in breast cancer. METHODS AND MATERIALS: RSI and molecular subtype were evaluated in 343 patients treated with breast-conserving therapy that included whole-breast radiation therapy with or without a tumor bed boost (dose range 45-72 Gy). The follow-up period for patients without recurrence was 10 years. The clinical endpoint was LR-free survival.

resultsAlthough RSI did not uniformly predict for LR across the entire cohort, combining RSI and the molecular subtype identified a subpopulation with an increased risk of LR: triple negative (TN) and radioresistant (reference TN-radioresistant, hazard ratio [HR] 0.37, 95% confidence interval [CI] 0.15-0.92, P=.02). TN patients who were RSI-sensitive/intermediate had LR rates similar to those of luminal (LUM) patients (HR 0.86, 95% CI 0.47-1.57, P=.63). On multivariate analysis, combined RSI and molecular subtype (P=.004) and age (P=.001) were the most significant predictors of LR. In contrast, integrating RSI into the LUM subtype did not identify additional risk groups. We hypothesized that radiation dose escalation was affecting radioresistance in the LUM subtype and serving as a confounder. An increased radiation dose decreased LR only in the luminal-resistant (LUM-R) subset (HR 0.23, 95% CI 0.05-0.98, P=.03). On multivariate analysis, the radiation dose was an independent variable only in the LUMA/B-RR subset (HR 0.025, 95% CI 0.001-0.946, P=.046), along with age (P=.008), T stage (P=.004), and chemotherapy (P=.008).

conclusionsThe combined molecular subtype-RSI identified a novel molecular subpopulation (TN and radioresistant) with an increased risk of LR after breast-conserving therapy. We propose that the combination of RSI and molecular subtype could be useful in guiding radiation therapy-based decisions in breast cancer.

Indexed as

Neoplasm Recurrence, LocalBreast NeoplasmsConfidence IntervalsErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesGene ExpressionHumansMastectomy, SegmentalMiddle AgedMultivariate AnalysisNeoplasms, Second PrimaryPrognosisRadiation ToleranceRadiotherapy DosageReceptors, EstrogenErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID26461005
PMCPMC5811194
OpenAlexW1926432155

What OpenQuestion holds

Textmetadata
LicenceTDM
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.