Evidence map›Paper›PMID 34210685›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2021

Deciphering Intratumoral Molecular Heterogeneity in Clear Cell Renal Cell Carcinoma with a Radiogenomics Platform.

Durga Udayakumar, Ze Zhang, Yin Xi, Durgesh K Dwivedi, Michael Fulkerson, Sydney Haldeman, Tiffani McKenzie, Qurratulain Yousuf, Allison Joyce, Asghar Hajibeigi and 17 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
9.8field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. A radiogenomics biomarker based on tumor angiogenesis for non-invasive prognosis of clear cell renal cell carcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Navigating advanced renal cell carcinoma in the era of artificial intelligence.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Review
  16. Article
  17. Review
  18. [Research progress and prospects of the application of radiographic imaging in the precise diagnosis and treatment of hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
    Review
  19. Article
  20. Article
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

27 authors at 1 institution in 1 country.

Durga Udayakumar *Department of Radiology, UT Southwestern Medical Center, Dallas, Texas.
Ze Zhang *Quantitative Biomedical Research Center, UT Southwestern Medical Center, Dallas, Texas.
Yin XiDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas.ORCID 0000-0001-9743-3010
Durgesh K DwivediDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas.ORCID 0000-0001-5472-976X
Michael FulkersonDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas.
Sydney HaldemanDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas.
Tiffani McKenzieDepartment of Pathology, UT Southwestern Medical Center, Dallas, Texas.
Qurratulain YousufKidney Cancer Program - Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas.
Allison JoyceKidney Cancer Program - Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas.
Asghar HajibeigiDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas.
Hollis NotgrassDepartment of Pathology, UT Southwestern Medical Center, Dallas, Texas.
Alberto Diaz de LeonDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas.
Qing YuanDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas.
Matthew A LewisDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-3714-9031
Ananth J MadhuranthakamDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas.
Robert C SibleyDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas.
Roy EliasKidney Cancer Program - Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-8555-4322
Junyu GuoDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas.
Alana ChristieKidney Cancer Program - Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas.
Renée M McKayKidney Cancer Program - Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas.
Jeffrey A CadedduDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas.
Aditya BagrodiaKidney Cancer Program - Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-3358-1193
Vitaly MargulisDepartment of Urology, UT Southwestern Medical Center, Dallas, Texas.
James BrugarolasKidney Cancer Program - Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas.
Tao WangQuantitative Biomedical Research Center, UT Southwestern Medical Center, Dallas, Texas.
Payal KapurKidney Cancer Program - Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas.
Ivan PedrosaDepartment of Radiology, UT Southwestern Medical Center, Dallas, Texas. Ivan.Pedrosa@UTSouthwestern.edu.
Southwestern Medical Center · US

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MELANIE H. COBB · 2010 to 2026
$53.7M
University of Texas Southwestern Medical Center SPORE in Kidney CancerP50CA196516 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI James Brugarolas · 2016 to 2026
$24.7M
NON-INVASIVE PHYSIOLOGIC PREDICTORS OF AGGRESSIVENESS IN RENAL CELL CARCINOMAR01CA154475 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI PEDROSA, IVAN · 2011 to 2024
$4.3M
Quantitative Non-Contrast Perfusion using Arterial Spin Labeling for Assessment of Cancer Therapy ResponseU01CA207091 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MADHURANTHAKAM, ANANTH J, MALDJIAN, JOSEPH A · 2017 to 2022
$3.1M
Applying deep learning to predict T cell receptor binding specificity of neoantigens and response to checkpoint inhibitorsR01CA258584 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, TAO, WANG, XINLEI · 2021 to 2025
$1.4M
NCI NIH HHS P30 CA142543NCI NIH HHS P50 CA196516NCI NIH HHS R01 CA154475NCI NIH HHS R01 CA258584NCI NIH HHS U01 CA207091
6 · The paper itself

Abstract

purposeIntratumoral heterogeneity (ITH) challenges the molecular characterization of clear cell renal cell carcinoma (ccRCC) and is a confounding factor for therapy selection. Most approaches to evaluate ITH are limited by two-dimensional EXPERIMENTAL

designWe report the results of a prospective study of 49 patients with ccRCC who underwent DCE-MRI prior to nephrectomy. Surgical specimens were sectioned to match the MRI acquisition plane. RNA sequencing data from multi-region tumor sampling (80 samples) were correlated with percent enhancement on DCE-MRI in spatially colocalized regions of the tumor. Independently, we evaluated clinical applicability of our findings in 19 patients with metastatic RCC (39 metastases) treated with first-line antiangiogenic drugs or checkpoint inhibitors.

resultsDCE-MRI identified tumor features associated with angiogenesis and inflammation, which differed within and across tumors, and likely contribute to the efficacy of antiangiogenic drugs and immunotherapies. Our vertically integrated analyses show that angiogenesis and inflammation frequently coexist and spatially anti-correlate in the same tumor. Furthermore, MRI contrast enhancement identifies phenotypes with better response to antiangiogenic therapy among patients with metastatic RCC.

conclusionsThese findings have important implications for decision models based on biopsy samples and highlight the potential of more comprehensive imaging-based approaches.

Indexed as

Radiation GenomicsTumor MicroenvironmentAdultAgedAged, 80 and overAngiogenesis InhibitorsCarcinoma, Renal CellFemaleHumansKidney NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesAngiogenesis Inhibitors

Identifiers

PMID34210685
PMCPMC8493519
OpenAlexW3173350211

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.