Evidence map›Paper›PMID 36959495›Full record

ArticleNPJ precision oncology2023

Defining incidence and complications of fibrolamellar liver cancer through tiered computational analysis of clinical data.

Travis Zack, Kurt P Losert, Samantha M Maisel, Jennifer Wild, Amin Yaqubie, Michael Herman, Jennifer J Knox, Robert J Mayer, Alan P Venook, Atul Butte and 3 more

Full text read
In one paragraph

Article in NPJ precision oncology, 2023. 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.

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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

13 authors.

Travis Zack *Helen Diller Family Comprehensive Cancer Center (HDFCCC), University of California, San Francisco (UCSF), San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-1620-6455
Kurt P Losert *Fibrolamellar Cancer Foundation, Greenwich, CT, USA.ORCID http://orcid.org/0009-0003-4360-0399
Samantha M MaiselSchool of Medicine, University of California, Los Angeles, CA, USA.
Jennifer WildHelen Diller Family Comprehensive Cancer Center (HDFCCC), University of California, San Francisco (UCSF), San Francisco, CA, USA.
Amin YaqubieMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Michael HermanDepartment of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Jennifer J KnoxDepartment of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Robert J MayerDana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Alan P VenookHelen Diller Family Comprehensive Cancer Center (HDFCCC), University of California, San Francisco (UCSF), San Francisco, CA, USA.
Atul ButteBakar Computational Health Sciences Institute, University of California, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-7433-2740
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.
Ghassan K Abou-AlfaMemorial Sloan Kettering Cancer Center, New York, NY, USA. abou-alg@mskcc.org.ORCID http://orcid.org/0000-0002-1522-8054
John D GordanHelen Diller Family Comprehensive Cancer Center (HDFCCC), University of California, San Francisco (UCSF), San Francisco, CA, USA. john.gordan@ucsf.edu.ORCID http://orcid.org/0000-0001-8997-5725

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

The incidence and biochemical consequences of rare tumor subtypes are often hard to study. Fibrolamellar liver cancer (FLC) is a rare malignancy affecting adolescents and young adults. To better characterize the incidence and biochemical consequences of this disease, we combined a comprehensive analysis of the electronic medical record and national payer data and found that FLC incidence is likely five to eight times higher than previous estimates. By employing unsupervised learning on clinical laboratory data from patients with hyperammonemia, we find that FLC-associated hyperammonemia mirrors metabolic dysregulation in urea cycle disorders. Our findings demonstrate that advanced computational analysis of rich clinical datasets can provide key clinical and biochemical insights into rare cancers.

Identifiers

PMID36959495
PMCPMC10034241

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Registered trials

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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.