Evidence map›Paper›PMID 37277208›Full record

ReviewCold Spring Harbor perspectives in medicine2023

High-Throughput Identification, Modeling, and Analysis of Cancer Driver Genes In Vivo.

Yuning J Tang, Emily G Shuldiner, Saswati Karmakar, Monte M Winslow

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

4 authors.

Yuning J TangDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Emily G ShuldinerDepartment of Biology, Stanford University, Stanford, California 94305, USA.
Saswati KarmakarDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Monte M WinslowDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA mwinslow@stanford.edu.

Funding

Unraveling mechanisms of tumor suppression in lung cancerR01CA234349 · NCI · STANFORD UNIVERSITY · PI PETROV, DMITRI, WINSLOW, MONTE MEIER · 2019 to 2023
$2.4M
(PQ4) Quantitative and multiplexed analysis of gene function in cancer in vivoR01CA231253 · NCI · STANFORD UNIVERSITY · PI PETROV, DMITRI, WINSLOW, MONTE MEIER · 2018 to 2022
$2.3M
Pancreatic cancer stem cells: PD2-mediated novel mechanistic link and metabolomic alterationsK00CA234962 · NCI · STANFORD UNIVERSITY · PI KARMAKAR, SASWATI · 2021 to 2024
$363k
Pancreatic cancer stem cells: PD2-mediated novel mechanistic link and metabolomic alterationsF99CA234962 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI KARMAKAR, SASWATI · 2018 to 2019
$89k
NCI NIH HHS F99 CA234962NCI NIH HHS K00 CA234962NCI NIH HHS R01 CA231253NCI NIH HHS R01 CA234349
6 · The paper itself

Abstract

The vast number of genomic and molecular alterations in cancer pose a substantial challenge to uncovering the mechanisms of tumorigenesis and identifying therapeutic targets. High-throughput functional genomic methods in genetically engineered mouse models allow for rapid and systematic investigation of cancer driver genes. In this review, we discuss the basic concepts and tools for multiplexed investigation of functionally important cancer genes in vivo using autochthonous cancer models. Furthermore, we highlight emerging technical advances in the field, potential opportunities for future investigation, and outline a vision for integrating multiplexed genetic perturbations with detailed molecular analyses to advance our understanding of the genetic and molecular basis of cancer.

Indexed as

NeoplasmsAnimalsCell Transformation, NeoplasticGenomicsMiceOncogenes

Identifiers

PMID37277208
PMCPMC10317066

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.