Evidence map›Paper›PMID 38266053›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Computational inference of eIF4F complex function and structure in human cancers.

Su Wu, Gerhard Wagner

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Identification of Key Active Constituents inInternational journal of molecular sciences · 2025
    Article
  5. Article
  6. Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Su WuDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115.ORCID 0000-0002-7317-3389
Gerhard WagnerDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115.ORCID 0000-0002-2063-4401
Harvard University · US

Funding

Protein Production CoreP01AI143565 · NIAID · DANA-FARBER CANCER INST · PI Matthew J. Lang, ELLIS L REINHERZ · 2020 to 2026
$19.9M
Roles of Eukaryotic Translation Initiation Factors in Gene ExpressionR01CA200913 · NCI · HARVARD MEDICAL SCHOOL · PI WAGNER, GERHARD · 2016 to 2020
$2.3M
600 MHz NMR Spectrometer ConsoleS10OD028526 · OD · HARVARD MEDICAL SCHOOL · PI WAGNER, GERHARD · 2020 to 2020
$649k
NCI NIH HHS R01 CA200913NIAID NIH HHS P01 AI143565NIH HHS S10 OD028526
6 · The paper itself

Abstract

The canonical eukaryotic initiation factor 4F (eIF4F) complex, composed of eIF4G1, eIF4A1, and the cap-binding protein eIF4E, plays a crucial role in cap-dependent translation initiation in eukaryotic cells. An alternative cap-independent initiation can occur, involving only eIF4G1 and eIF4A1 through internal ribosome entry sites (IRESs). This mechanism is considered complementary to cap-dependent initiation, particularly in tumors under stress conditions. However, the selection and molecular mechanism of specific translation initiation remains poorly understood in human cancers. Thus, we analyzed gene copy number variations (CNVs) in TCGA tumor samples and found frequent amplification of genes involved in translation initiation. Copy number gains in

Indexed as

Eukaryotic Initiation Factor-4FNeoplasmsDNA Copy Number VariationsEukaryotic Initiation Factor-3Eukaryotic Initiation Factor-4EHumansEukaryotic Initiation Factor-3Eukaryotic Initiation Factor-4EEukaryotic Initiation Factor-4Fcap-independent translation initiationcomputational analysiseIF3eeIF4F dysregulationeukaryotic initiation factor 4F (eIF4F)

Identifiers

PMID38266053
PMCPMC10835048
OpenAlexW4391164025

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.