Evidence map›Paper›PMID 31759077›Full record

ArticleInternational journal of radiation oncology, biology, physics2020

Using the Radiosensitivity Index (RSI) to Predict Pelvic Failure in Endometrial Cancer Treated With Adjuvant Radiation Therapy.

Homan Mohammadi, Austin Prince, Nicholas B Figura, Jeffrey S Peacock, Daniel C Fernandez, Michael E Montejo, Hye Sook Chon, Robert M Wenham, Steven A Eschrich, Javier F Torres-Roca and 1 more

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
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  16. Evolution-Informed Strategies for Combating Drug Resistance in Cancer.International journal of molecular sciences · 2023
    Review
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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

11 authors at 1 institution in 1 country.

Homan MohammadiDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Austin PrinceDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Nicholas B FiguraDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Jeffrey S PeacockDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Daniel C FernandezDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Michael E MontejoDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Hye Sook ChonDepartment of Gynecologic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Robert M WenhamDepartment of Gynecologic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Steven A EschrichDepartment of Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Javier F Torres-RocaDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Kamran A AhmedDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida. Electronic address: kamran.ahmed@moffitt.org.
Moffitt Cancer Center · US

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 R21 CA135620
6 · The paper itself

Abstract

purposeVariability exists in the adjuvant treatment for endometrial cancer (EC) based on surgical pathology and institutional preference. The radiosensitivity index (RSI) is a previously validated multigene expression index that estimates tumor radiosensitivity. We evaluate RSI as a genomic predictor for pelvic failure (PF) in EC patients treated with adjuvant radiation therapy (RT). METHODS AND MATERIALS: Using our institutional tissue biorepository, we identified EC patients treated between January 1999 and April 2011 with primarily endometrioid histology (n = 176; 86%) who received various adjuvant therapies. The RSI 10-gene signature was calculated for each sample using the previously published algorithm. Radiophenotype was determined using the previously identified cutpoint where RSI ≥ 0.375 denotes radioresistance (RR) and RSI < 0.375 describes radiosensitivity.

resultsA total of 204 patients were identified, of which 83 (41%) were treated with adjuvant RT. Median follow-up was 38.5 months. All patients underwent hysterectomy with bilateral salpingo-oophorectomy with the majority undergoing lymph node dissection (n = 181; 88%). In patients treated with radiation, RR tumors were more likely to experience PF (3-year pelvic control 84% vs 100%; P = .02) with worse PF-free survival (PFFS) (3-year PFFS 65% vs 89%; P = .04). Furthermore, in the patients who did not receive RT, there was no difference in PF (P = .87) or PFFS (P = .57) between the RR/radiosensitive tumors. On multivariable analysis, factors that continued to predict for PF included the RR phenotype (hazard ratio [HR], 12.2; P = .003), lymph node involvement (HR, 4.4; P = .02), and serosal or adnexal involvement (HR, 5.3; P = .01).

conclusionsOn multivariable analysis, RSI was found to be a significant predictor of PF in patients treated with adjuvant RT. We propose using RSI to predict which patients are at higher risk for failing in the pelvis and may be candidates for treatment escalation in the adjuvant setting.

Indexed as

Gene Expression ProfilingAdultAgedAged, 80 and overEndometrial NeoplasmsFemaleHumansHysterectomyLymph Node ExcisionMiddle AgedMultivariate AnalysisNeoplasm Recurrence, LocalPelvic NeoplasmsPhenotypeProgression-Free SurvivalRadiation Tolerance

Identifiers

PMID31759077
PMCPMC7050205
OpenAlexW2972948353

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.