Evidence map›Paper›PMID 37331778›Full record

ReviewSeminars in radiation oncology2023

Histology Specific Molecular Biomarkers: Ushering in a New Era of Precision Radiation Oncology.

Philip Sutera, Heath Skinner, Matthew Witek, Mark Mishra, Young Kwok, Elai Davicioni, Felix Feng, Daniel Song, Elizabeth Nichols, Phuoc T Tran and 1 more

Abstract readReview
In one paragraph

Review in Seminars in radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Philip SuteraDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD.
Heath SkinnerDepartment of Radiation Oncology, University of Pittsburgh, Pittsburgh, PA.
Matthew WitekDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD.
Mark MishraDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD.
Young KwokDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD.
Elai DavicioniVeracyte, San Diego, CA.
Felix FengDepartments of Radiation Oncology, Medicine and Urology, UCSF, San Francisco, CA.
Daniel SongDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD.
Elizabeth NicholsDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD.
Phuoc T TranDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD.
Carmen BergomDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO.. Electronic address: cbergom@wustl.edu.

Funding

Resource Sharing CoreU54CA273956 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI Luigi Marchionni · 2022 to 2026
$8.9M
Tumor-barcoding coupled with high-throughput sequencing of a novel chemoradiation resistant SCLC mouse modelU01CA231776 · NCI · JOHNS HOPKINS UNIVERSITY · PI HANN, CHRISTINE L., MARCHIONNI, LUIGI · 2018 to 2022
$3.9M
Integrating bioinformatics into multiscale models for hepatocellular carcinomaU01CA212007 · NCI · JOHNS HOPKINS UNIVERSITY · PI EWALD, ANDREW JOSEF, FERTIG, ELANA · 2018 to 2022
$3.2M
Tumor-barcoding coupled with high-throughput sequencing for quantitative radiogenomics of the abscopal response in NSCLCR01CA271540 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Phuoc T. Tran · 2023 to 2026
$2.3M
NCI NIH HHS R01 CA271540NCI NIH HHS U01 CA212007NCI NIH HHS U01 CA231776NCI NIH HHS U54 CA273956
6 · The paper itself

Abstract

Histopathology and clinical staging have historically formed the backbone for allocation of treatment decisions in oncology. Although this has provided an extremely practical and fruitful approach for decades, it has long been evident that these data alone do not adequately capture the heterogeneity and breadth of disease trajectories experienced by patients. As efficient and affordable DNA and RNA sequencing have become available, the ability to provide precision therapy has become within grasp. This has been realized with systemic oncologic therapy, as targeted therapies have demonstrated immense promise for subsets of patients with oncogene-driver mutations. Further, several studies have evaluated predictive biomarkers for response to systemic therapy within a variety of malignancies. Within radiation oncology, the use of genomics/transcriptomics to guide the use, dose, and fractionation of radiation therapy is rapidly evolving but still in its infancy. The genomic adjusted radiation dose/radiation sensitivity index is one such early and exciting effort to provide genomically guided radiation dosing with a pan-cancer approach. In addition to this broad method, a histology specific approach to precision radiation therapy is also underway. Herein we review select literature surrounding the use of histology specific, molecular biomarkers to allow for precision radiotherapy with the greatest emphasis on commercially available and prospectively validated biomarkers.

Indexed as

NeoplasmsRadiation OncologyBiomarkersBiomarkers, TumorHumansMedical OncologyRadiation ToleranceBiomarkersBiomarkers, Tumor

Identifiers

PMID37331778
PMCPMC10446901

What OpenQuestion holds

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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.