Evidence map›Paper›PMID 38280378›Full record

ArticleCell reports. Medicine2024

Lineage and ecology define liver tumor evolution in response to treatment.

Mahler Revsine, Limin Wang, Marshonna Forgues, Shay Behrens, Amanda J Craig, Meng Liu, Bao Tran, Michael Kelly, Anuradha Budhu, Cecilia Monge and 5 more

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Oncogenic function and transcriptional dynamics of MYCN in liver tumorigenesis.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

15 authors.

Mahler RevsineLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Limin WangLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Marshonna ForguesLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Shay BehrensLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Amanda J CraigLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Meng LiuCancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Bao TranFrederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 20701, USA.
Michael KellyFrederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 20701, USA.
Anuradha BudhuLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Cecilia MongeThoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Changqing XieThoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Jonathan M HernandezSurgical Oncology Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Tim F GretenLiver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Xin Wei WangLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA. Electronic address: xw3u@nih.gov.
Lichun MaCancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA. Electronic address: lichun.ma@nih.gov.

Funding

Interrogating the molecular underpinnings of metastatic colonizationZIABC011759 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HERNANDEZ, JONATHAN · 2017 to 2025
$18.9M
Strategies for improving early detection, diagnosis and treatment of liver cancerZIABC010313 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, XIN WEI · 2009 to 2025
$18.1M
Surgical Oncology Program Training ProgramZIEBC012097 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BLAKELY, ANDREW · 2022 to 2025
$17.3M
The role of cancer stem cells in liver cancer heterogeneity and subtypesZIABC010876 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, XIN WEI · 2009 to 2025
$12.6M
Liver Cancer ProgramZIABC011870 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, XIN WEI · 2019 to 2025
$10.1M
The identification of human hepatocellular carcinoma metastasis genesZIABC010877 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, XIN WEI · 2009 to 2025
$8.3M
Single Cell Analysis FacilityZICBC012123 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KELLY, MICHAEL · 2022 to 2025
$7.3M
Cancer Stem Cells in CholangiocarcinomaZIABC011888 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI XIE, CHANGQING · 2019 to 2024
$3.4M
Identification of viral exposure signatures for early detection of liver cancerZICBC012048 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, LIMIN · 2021 to 2025
$2.2M
Tumor heterogeneity in liver cancerZIABC012079 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MA, LICHUN · 2022 to 2025
$1.9M
Tumor evolution in response to treatmentZIABC012083 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MA, LICHUN · 2022 to 2025
$1.5M
Intramural NIH HHS ZIA BC010313Intramural NIH HHS ZIA BC010876Intramural NIH HHS ZIA BC010877Intramural NIH HHS ZIA BC011870Intramural NIH HHS ZIA BC012079Intramural NIH HHS ZIA BC012083
6 · The paper itself

Abstract

A tumor ecosystem constantly evolves over time in the face of immune predation or therapeutic intervention, resulting in treatment failure and tumor progression. Here, we present a single-cell transcriptome-based strategy to determine the evolution of longitudinal tumor biopsies from liver cancer patients by measuring cellular lineage and ecology. We construct a lineage and ecological score as joint dynamics of tumor cells and their microenvironments. Tumors may be classified into four main states in the lineage-ecological space, which are associated with clinical outcomes. Analysis of longitudinal samples reveals the evolutionary trajectory of tumors in response to treatment. We validate the lineage-ecology-based scoring system in predicting clinical outcomes using bulk transcriptomic data of additional cohorts of 716 liver cancer patients. Our study provides a framework for monitoring tumor evolution in response to therapeutic intervention.

Indexed as

Liver NeoplasmsCell LineageGene Expression ProfilingHumansTranscriptomeTumor Microenvironmentcholangiocarcinomahepatocellular carcinomaimmunotherapyliver cancersingle celltumor ecologytumor evolutiontumor heterogeneitytumor lineagetumor microenvironment

Identifiers

PMID38280378
PMCPMC10897542

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.