Evidence map›Paper›PMID 36077736›Full record

ArticleCancers2022

A Pan-Cancer Assessment of

Ling Cai, Ralph J DeBerardinis, Guanghua Xiao, John D Minna, Yang Xie

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Integrated Multiomic Profiling Enhances Risk Stratification and Prognostication in Canine Osteosarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Genomic Characteristics of Bladder Cancer: An AACR Project GENIE Study.International journal of molecular sciences · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. 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

5 authors.

Ling CaiQuantitative Biomedical Research Center, Department of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-8592-5269
Ralph J DeBerardinisChildren's Research Institute, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Guanghua XiaoQuantitative Biomedical Research Center, Department of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX 75390, USA.
John D MinnaSimmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Yang XieQuantitative Biomedical Research Center, Department of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX 75390, USA.

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI HEYMACH, JOHN V. · 1996 to 2024
$57.4M
UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Kathryn Ann O'Donnell · 2010 to 2026
$53.7M
Coordinating center for the NCI small cell lung cancer research consortiumU24CA213274 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Lauren Averett Byers, JOHN D. MINNA · 2017 to 2026
$12.9M
Metabolic Regulators of Tumor Growth and ProgressionR35CA220449 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI RALPH J DEBERARDINIS · 2017 to 2026
$9.4M
UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Jeffrey M Zigman · 2022 to 2026
$7.4M
Deep Learning Image Analysis Algorithms to Improve Oral Cancer Risk Assessment for Oral Potentially Malignant DisordersR01DE030656 · NIDCR · YALE UNIVERSITY · PI PICKERING, CURTIS, XIAO, GUANGHUA · 2021 to 2025
$3.4M
Finding the optimal balance of immunotherapy efficacy and toxicity.U01AI156189 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI GERBER, DAVID ERIC, WAKELAND, EDWARD K. · 2020 to 2024
$3.1M
Developing ASCL1 and NeuroD1 lineage oncogene targeted therapy for small cell lung cancerU01CA213338 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MINNA, JOHN D. · 2017 to 2021
$3.0M
Novel computational approaches to predict drug response and combination effectsR35GM136375 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI XIE, YANG · 2020 to 2024
$2.0M
Developing computational algorithms for histopathological image analysisR01GM140012 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI XIAO, GUANGHUA · 2021 to 2024
$1.6M
Informatics Tools To Analyze And Model Whole Slide Image Data At The Single Cell LevelU01CA249245 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI XIAO, GUANGHUA · 2021 to 2023
$1.5M
Developing novel algorithms for spatial molecular profiling technologiesR01GM141519 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI XIAO, GUANGHUA · 2021 to 2024
$1.4M
NCI NIH HHS P30 CA142543NCI NIH HHS P50 CA070907NCI NIH HHS R35 CA220449NCI NIH HHS U01 CA213338NCI NIH HHS U01 CA249245NCI NIH HHS U24 CA213274NIAID NIH HHS U01 AI156189NIDCR NIH HHS R01 DE030656NIDDK NIH HHS P30 DK127984NIGMS NIH HHS R01 GM140012NIGMS NIH HHS R01 GM141519NIGMS NIH HHS R35 GM136375
6 · The paper itself

Abstract

Nearly all tumors have multiple mutations in cancer-causing genes. Which of these mutations act in tandem with other mutations to drive malignancy and also provide therapeutic vulnerability? To address this fundamental question, we conducted a pan-cancer screen of co-mutation enrichment (looking for two genes mutated together in the same tumor at a statistically significant rate) using the AACR-GENIE 11.0 data (AACR, Philadelphia, PA, USA). We developed a web tool for users to review results and perform ad hoc analyses. From our screen, we identified a number of such co-mutations and their associated lineages. Here, we focus on the

Indexed as

AACR-GENIEco-mutationneuroendocrineRB1sarcomasmall cell carcinomaTP53

Identifiers

PMID36077736
PMCPMC9454436

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.