Evidence map›Paper›PMID 39760657›Full record

ArticleCancer discovery2025

The Hallmarks of Predictive Oncology.

Akshat Singhal, Xiaoyu Zhao, Patrick Wall, Emily So, Guido Calderini, Alexander Partin, Natasha Koussa, Priyanka Vasanthakumari, Oleksandr Narykov, Yitan Zhu and 12 more

Abstract read
In one paragraph

Article in Cancer discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Integrated Clinicogenomic Risk Modeling for Metachronous Second Primary Cancers.medRxiv : the preprint server for health sciences · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

22 authors.

Akshat SinghalDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, California.ORCID 0000-0001-5371-526X
Xiaoyu ZhaoDivision of Human Genomics and Precision Medicine, Department of Medicine, University of California, San Diego, La Jolla, California.ORCID 0000-0002-6081-2196
Patrick WallDepartment of Bioengineering, University of California, San Diego, La Jolla, California.ORCID 0009-0004-3188-7940
Emily SoPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0000-0002-2301-4152
Guido CalderiniFaculty of Health Science, Simon Fraser University, Burnaby, Canada.ORCID 0009-0009-4187-7312
Alexander PartinDivision of Data Science and Learning, Argonne National Laboratory, Lemont, Illinois.ORCID 0000-0002-9279-9213
Natasha KoussaCancer Data Science Initiatives, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland.ORCID 0000-0002-7169-8229
Priyanka VasanthakumariDivision of Data Science and Learning, Argonne National Laboratory, Lemont, Illinois.ORCID 0000-0003-0822-5936
Oleksandr NarykovDivision of Data Science and Learning, Argonne National Laboratory, Lemont, Illinois.ORCID 0000-0002-3336-0534
Yitan ZhuDivision of Data Science and Learning, Argonne National Laboratory, Lemont, Illinois.ORCID 0000-0001-5332-6125
Sara E JonesCancer Data Science Initiatives, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland.ORCID 0000-0003-1877-9406
Farnoosh Abbas-AghababazadehPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0000-0001-6427-9379
Sisira Kadambat NairPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0000-0003-0693-9994
Jean-Christophe Bélisle-PiponFaculty of Health Science, Simon Fraser University, Burnaby, Canada.ORCID 0000-0002-8965-8153
Athmeya JayaramThe Hastings Center, Garrison, New York.ORCID 0000-0001-6609-962X
Barbara A ParkerDepartment of Medicine, Moores Cancer Center, University of California, San Diego, La Jolla, California.ORCID 0000-0003-0499-1289
Kay T YeungDepartment of Medicine, Moores Cancer Center, University of California, San Diego, La Jolla, California.ORCID 0000-0002-0013-7002
Jason I GriffithsDepartment of Medical Oncology and Therapeutics Research, Beckman Research Institute, City of Hope National Medical Center, Monrovia, California.ORCID 0000-0002-1667-8233
Ryan WeilCancer Data Science Initiatives, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland.ORCID 0009-0006-0845-0817
Aritro NathDepartment of Medical Oncology and Therapeutics Research, Beckman Research Institute, City of Hope National Medical Center, Monrovia, California.ORCID 0000-0002-3225-4203
Benjamin Haibe-KainsPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0000-0002-7684-0079
Trey IdekerDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, California.ORCID 0000-0002-1708-8454

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI BRISCOE, LYNN · 2019 to 2025
$3932.6M
VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
Bridge2AI: Cell Maps for AI (CM4AI) Data Generation ProjectOT2OD032742 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jean-Christophe Bélisle-Pipon, TIMOTHY W CLARK · 2022 to 2026
$21.5M
TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
The Cancer Cell Map Initiative v2.0U54CA274502 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nevan J Krogan · 2022 to 2026
$14.2M
PROJECT 3: Applying Liquid Biopsy Technologies to Detect Clinical Response and Mechanisms of Resistance in the Treatment of LMSP50CA272170 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Elizabeth Demicco · 2022 to 2026
$13.3M
Mechanism of estrogen independent proliferation in ER+ breast cancer cellsU01CA264620 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI BILD, ANDREA HOPE · 2021 to 2025
$3.6M
American Cancer Society (ACS) IRG-19-230-48Argonne National Laboratory (ANL) DE-AC02-06-CH11357Cancer Moonshot (Misión contra el Cáncer) 75N91019F00134National Cancer Institute (NCI) CA274502NCI NIH HHS 75N91019D00024NCI NIH HHS P30 CA023100NCI NIH HHS P50 CA272170NCI NIH HHS U01 CA264620NCI NIH HHS U54 CA274502NIGMS NIH HHS P41 GM103504NIH HHS OD032742NIH HHS OT2 OD032742Schmidt Family Foundation (SFF)
6 · The paper itself

Abstract

significanceAs the field of artificial intelligence evolves rapidly, these hallmarks are intended to capture fundamental, complementary concepts necessary for the progress and timely adoption of predictive modeling in precision oncology. Through these hallmarks, we hope to establish standards and guidelines that enable the symbiotic development of artificial intelligence and precision oncology.

Indexed as

Artificial IntelligenceMedical OncologyNeoplasmsPrecision MedicineHumans

Identifiers

PMID39760657
PMCPMC11969157

What OpenQuestion holds

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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.