Evidence map›Paper›PMID 37878787›Full record

SynthesisThe oncologist2024

The Landscape of US and Global Rare Tumor Research Programs: A Systematic Review.

Christina Vivelo, Karlyne M Reilly, Brigitte C Widemann, Mary Frances Wedekind, Corrie Painter, Allison F O'Neill, Sabine Mueller, Olivier Elemento, Andrea M Gross, Abby B Sandler

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in The oncologist, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Christina ViveloPediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Karlyne M ReillyPediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Brigitte C WidemannPediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Mary Frances WedekindPediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Corrie PainterBroad Institute, Cambridge, MA, USA.
Allison F O'NeillDana-Farber Cancer Institute/Boston Children's Cancer and Blood Disorders, Center and Harvard Medical School, Department of Pediatric Oncology, Boston, MA, USA.
Sabine MuellerDepartment of Neurology, Neurosurgery, and Pediatrics, University of California San Francisco, San Francisco, CA, USA.
Olivier ElementoCaryl and Israel Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
Andrea M GrossPediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Abby B SandlerPediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.ORCID 0009-0004-0630-4205
National Cancer Institute · USBroad Institute · USCornell University · USDana-Farber Cancer Institute · USUniversity of California, San Francisco · US

Funding

MyPART: My Pediatric and Adult Rare Tumor Network - CuresZIABC011852 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WIDEMANN, BRIGITTE · 2020 to 2025
$39.2M
NCI Program for Natural Products Discovery - CuresZIABC011854 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI OKEEFE, BARRY · 2020 to 2025
$5.2M
Biology and molecular vulnerabilities in SMARCB1-deficient tumorsZIABC012152 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI REILLY, KARLYNE M · 2023 to 2025
$1.1M
SCIENTIFIC, OPERATIONS, AND ADMINISTRATIVE RESOURCES (SOAR) TO NIH.75N95021D00012 · NIDA · KELLY SERVICES, INC. · PI SPROSE, SARA · 2021 to 2021
$57k
CCR NIH HHSIntramural NIH HHS ZIA BC011854NCI NIH HHS 75N95021D00012NIDA NIH HHS 75N95021D00012
6 · The paper itself

Abstract

Rare cancers and other rare nonmalignant tumors comprise 25% of all cancer diagnoses and account for 25% of all cancer deaths. They are difficult to study due to many factors, including infrequent occurrence, lack of a universal infrastructure for data and/or tissue collection, and a paucity of disease models to test potential treatments. For each individual rare cancer, the limited number of diagnosed cases makes it difficult to recruit sufficient patients for clinical studies, and rare cancer research studies are often siloed. As a result, progress has been slow for many of these cancers. While rare cancer research efforts have increased over time, the breadth of the research landscape is not known. A recent literature search revealed a sharp increase in rare tumor, and rare cancer publications began in the early 2000s. To identify rare cancer research efforts being conducted in the US and globally, we conducted an online search of rare tumor/rare cancer research programs and identified 76 programs. To gain a deeper understanding of these programs, we composed and conducted a survey to ask programs for details about their research efforts. Of the 42 programs contacted to complete the survey, 23 programs responded. Survey results show most programs are collecting clinical data, molecular data, and biospecimens, and many are conducting molecular analyses. This landscape analysis demonstrates that multiple rare cancer research efforts are ongoing, and the rare cancer community may benefit from collaboration among stakeholders to accelerate research and improve patient outcomes.

Indexed as

Biomedical ResearchNeoplasmsHumansRare DiseasesTissue Banksbiospecimensclinical datamolecular datarare cancer

Identifiers

PMID37878787
PMCPMC10836296
OpenAlexW4387950134

What OpenQuestion holds

Textmetadata
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.