Evidence map›Paper›PMID 38254814›Full record

ArticleCancers2024

Exploring the Genomic Landscape of Hepatobiliary Cancers to Establish a Novel Molecular Classification System.

Anthony J Scholer, Rebecca K Marcus, Mary Garland-Kledzik, Debopriya Ghosh, Miquel Ensenyat-Mendez, Joshua Germany, Juan A Santamaria-Barria, Adam Khader, Javier I J Orozco, Melanie Goldfarb

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 99% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

10 authors at 7 institutions in 2 countries.

Anthony J ScholerDivision of Surgical Oncology, University of South Carolina School of Medicine, Greenville, SC 29605, USA.ORCID 0000-0002-7693-9298
Rebecca K MarcusDepartment of Surgery, Saint John's Cancer Institute at Providence St. John's Health Center, Santa Monica, CA 90404, USA.
Mary Garland-KledzikDepartment of Surgery, Division of Surgical Oncology, West Virginia University, Morgantown, WV 26506, USA.
Debopriya GhoshJanssen Research and Development LLC, Early Development and Oncology, Biostatistics, Raritan, NJ 08869, USA.ORCID 0000-0001-8487-7894
Miquel Ensenyat-MendezCancer Epigenetics Laboratory, Health Research Institute of the Balearic Islands, 07120 Palma, Spain.
Joshua GermanyDivision of Surgical Oncology, University of South Carolina School of Medicine, Greenville, SC 29605, USA.
Juan A Santamaria-BarriaDepartment of Surgery, Division of Surgical Oncology, University of Nebraska Medical Center, Omaha, NE 68105, USA.ORCID 0000-0002-6132-7328
Adam KhaderDepartment of Surgery, Division of Surgical Oncology, Hunter Holmes McGuire Veterans Affairs Medical Center, Richmond, VA 23249, USA.
Javier I J OrozcoDepartment of Surgery, Saint John's Cancer Institute at Providence St. John's Health Center, Santa Monica, CA 90404, USA.ORCID 0000-0003-2585-358X
Melanie GoldfarbDepartment of Surgery, Saint John's Cancer Institute at Providence St. John's Health Center, Santa Monica, CA 90404, USA.
Saint John's Health Center · USUniversity of South Carolina · USHealth Research Institute of the Balearic Islands · ESHunter Holmes McGuire VA Medical Center · USJanssen (United States) · USUniversity of Nebraska Medical Center · USWest Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Taxonomy of hepatobiliary cancer (HBC) categorizes tumors by location or histopathology (tissue of origin, TO). Tumors originating from different TOs can also be grouped by overlapping genomic alterations (GA) into molecular subtypes (MS). The aim of this study was to create novel HBC MSs. Next-generation sequencing (NGS) data from the AACR-GENIE database were used to examine the genomic landscape of HBCs. Machine learning and gene enrichment analysis identified MSs and their oncogenomic pathways. Descriptive statistics were used to compare subtypes and their associations with clinical and molecular variables. Integrative analyses generated three MSs with different oncogenomic pathways independent of TO (

Indexed as

hepatobiliary cancermolecular subtypesnext-generation sequencingoncogenic pathways

Identifiers

PMID38254814
PMCPMC10814719
OpenAlexW4390806542

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.