Evidence map›Paper›PMID 33296034›Full record

ArticleEJNMMI research2020

Relationship between tumor mutational burden and maximum standardized uptake value in 2-[

Amin Haghighat Jahromi, Donald A Barkauskas, Matthew Zabel, Aaron M Goodman, Garret Frampton, Mina Nikanjam, Carl K Hoh, Razelle Kurzrock

Abstract read
In one paragraph

Article in EJNMMI research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Respiratory research · 2025
    Article
  3. Review
  4. Integrative Analysis ofMolecular imaging and biology · 2025
    Article
  5. Article
  6. Article
  7. Predictive value ofCancer medicine · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

8 authors.

Amin Haghighat JahromiDepartment of Radiology, University of California, San Diego, La Jolla, CA, USA. ajahromi@ucsd.edu.ORCID http://orcid.org/0000-0002-8263-903X
Donald A BarkauskasDepartment of Preventive Medicine, Biostatistics Division, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Matthew ZabelDepartment of Radiology, University of California, San Diego, La Jolla, CA, USA.
Aaron M GoodmanDivision of Blood and Marrow Transplantation, Department of Medicine, University of California San Diego (UCSD), La Jolla, CA, USA.
Garret FramptonFoundation Medicine, Cambridge, MA, USA.
Mina NikanjamCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, University of California San Diego Moores Cancer Center, La Jolla, CA, USA.
Carl K HohDepartment of Radiology, University of California, San Diego, La Jolla, CA, USA.
Razelle KurzrockCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, University of California San Diego Moores Cancer Center, La Jolla, CA, USA.

Funding

Traning Clinical Scientists in Radiological ImagingT32EB005970 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric Y Chang, Rebecca Ann Rakow-Penner · 2007 to 2026
$3.2M
NIBIB NIH HHS T32 EB005970NIH HHS T32-4T32EB005970
6 · The paper itself

Abstract

purposeDeriving links between imaging and genomic markers is an evolving field. 2-[

methodsIn this pilot study, we analyzed 1923 patients with diverse cancers and available TMB values. Overall, 273 patients met our eligibility criteria in that they had no systemic treatment prior to imaging/biopsy, and also had 2-[

resultsWe found a linear correlation between TMB and SUV

conclusionOur observations link SUV

Indexed as

CancerImmunotherapySUVmaxTumor mutational burden

Identifiers

PMID33296034
PMCPMC7726049

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.