Evidence map›Paper›PMID 24156027›Full record

Trial reportCancer medicine2013

FDG-PET as a predictive biomarker for therapy with everolimus in metastatic renal cell cancer.

James L Chen, Daniel E Appelbaum, Masha Kocherginsky, Charles L Cowey, Wendy Kimryn Rathmell, David F McDermott, Walter M Stadler

Registry-linked trialOpen access · goldAbstract readClinical Trial, Phase IIMulticenter Study
In one paragraph

Trial report in Cancer medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00529802 (An Exploratory Study Evaluating FDG-PET as a Predictive Marker for mTOR Directed Therapy With RAD001 in Metastatic Renal Cell Cancer), which is not on this map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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.

NCT00529802 phase2completednot on this map

An Exploratory Study Evaluating FDG-PET as a Predictive Marker for mTOR Directed Therapy With RAD001 in Metastatic Renal Cell Cancer

TypeinterventionalSponsorUniversity of ChicagoRan2007 to 2010Enrolled60ConditionsCarcinoma, Renal CellArmsRAD001
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 55 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. Article
  6. Non-invasive molecular imaging of kidney diseases.Nature reviews. Nephrology · 2021
    Review
  7. [Journal of endocrinological investigation · 2021
    Article
  8. Review
  9. Annals of translational medicine · 2019
    Article
  10. Article
  11. Metabolic Pathways in Kidney Cancer: Current Therapies and Future Directions.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Alternate Metabolic Programs Define Regional Variation of Relevant Biological Features in Renal Cell Carcinoma Progression.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
    Article
  17. Article
  18. Article
  19. Review
  20. 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

7 authors at 5 institutions in 1 country.

James L ChenDepartments of Biomedical Informatics and Internal Medicine, The Ohio State University Columbus, Ohio.
Daniel E Appelbaum
Masha Kocherginsky
Charles L Cowey
Wendy Kimryn Rathmell
David F McDermott
Walter M Stadler
University of Chicago · USBeth Israel Deaconess Medical Center · USTexas Oncology · USThe Ohio State University · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mTOR (mammalian target of rapamycin) inhibitor, everolimus, affects tumor growth by targeting cellular metabolic proliferation pathways and delays renal cell carcinoma (RCC) progression. Preclinical evidence suggests that baseline elevated tumor glucose metabolism as quantified by FDG-PET ([(18)F] fluorodeoxy-glucose positron emission tomography) may predict antitumor activity. Metastatic RCC (mRCC) patients refractory to vascular endothelial growth factor (VEGF) pathway inhibition were treated with standard dose everolimus. FDG-PET scans were obtained at baseline and 2 weeks; serial computed tomography (CT) scans were obtained at baseline and every 8 weeks. Maximum standardized uptake value (SUVmax) of the most FDG avid lesion, average SUVmax of all measured lesions and their corresponding 2-week relative changes were examined for association with 8-week change in tumor size. A total of 63 patients were enrolled; 50 were evaluable for the primary endpoint of which 48 had both PET scans. Patient characteristics included the following: 36 (72%) clear cell histology and median age 59 (range: 37-80). Median pre- and 2-week treatment average SUVmax were 6.6 (1-17.9) and 4.2 (1-13.9), respectively. Response evaluation criteria in solid tumors (RECIST)-based measurements demonstrated an average change in tumor burden of 0.2% (-32.7% to 35.9%) at 8 weeks. Relative change in average SUVmax was the best predictor of change in tumor burden (all evaluable P = 0.01; clear cell subtype P = 0.02), with modest correlation. Baseline average SUVmax was correlated with overall survival and progression-free survival (PFS) (P = 0.023; 0.020), but not with change in tumor burden. Everolimus therapy decreased SUVs on follow-up PET scans in mRCC patients, but changes were only modestly correlated with changes in tumor size. Thus, clinical use of FDG-PET-based biomarkers is challenged by high variability.

Indexed as

Fluorodeoxyglucose F18Positron-Emission TomographyAdultAgedAntineoplastic AgentsBiomarkersCarcinoma, Renal CellEverolimusFemaleHumansKidney NeoplasmsMaleMiddle AgedNeoplasm MetastasisSirolimusTreatment OutcomeAntineoplastic AgentsBiomarkersEverolimusFluorodeoxyglucose F18SirolimusKidney carcinomamTOR proteinpharmacological biomarkerspositron emission tomography

Identifiers

PMID24156027
PMCPMC3799289
OpenAlexW2095524269

What OpenQuestion holds

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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 OpenQuestion graph.