Evidence map›Paper›PMID 32641410›Full record

ArticleCancer research2020

Leveraging Systematic Functional Analysis to Benchmark an

Aphrothiti J Hanrahan, Brooke E Sylvester, Matthew T Chang, Arijh Elzein, Jianjiong Gao, Weiwei Han, Ye Liu, Dong Xu, Sizhi P Gao, Alexander N Gorelick and 19 more

Open access · bronzeAbstract readComment
In one paragraph

Article in Cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Improving Global Access to Genomic Profiling in Rare Pediatric Cancers.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  7. Review
  8. RAF and MEK Inhibitors in Non-Small Cell Lung Cancer.International journal of molecular sciences · 2024
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Distinct mutational features across preinvasive and invasive subtypes identified through comprehensive profiling of surgically resected lung adenocarcinoma.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Clinical cancer genomic profiling.Nature reviews. Genetics · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors at 3 institutions in 2 countries.

Aphrothiti J HanrahanHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Brooke E SylvesterHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Matthew T ChangHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Arijh ElzeinHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6122-6220
Jianjiong GaoMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Weiwei HanKey Laboratory for Molecular Enzymology and Engineering of Ministry of Education, School of Life Science, Jilin University, Changchun, China.
Ye LiuKey Laboratory for Molecular Enzymology and Engineering of Ministry of Education, School of Life Science, Jilin University, Changchun, China.
Dong XuDepartment of Electrical Engineering and Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, Missouri.
Sizhi P GaoHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Alexander N GorelickHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6736-8246
Alexis M JonesHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Amber J KilitiHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-8581-6222
Moriah H NissanHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5852-3419
Clare A NimuraHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6956-1090
Abigail N PoteshmanHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Zhan YaoProgram in Molecular Pharmacology, Memorial Sloan Kettering Cancer Center, New York, New York.
Yijun GaoProgram in Molecular Pharmacology, Memorial Sloan Kettering Cancer Center, New York, New York.
Wenhuo HuHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-8686-7160
Hannah C WiseHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6443-0390
Elena I GavrilaHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Alexander N ShoushtariDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6736-8246
Shakuntala TiwariImmunology Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Agnes VialeMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Omar Abdel-WahabHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Taha MerghoubHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Michael F BergerHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Neal RosenProgram in Molecular Pharmacology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-8307-654X
Barry S TaylorHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
David B SolitHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York. solitd@mskcc.org.
Memorial Sloan Kettering Cancer Center · USMinistry of Education · KNUniversity of Missouri · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
MSKCC Pilot Center for Precision Disease ModelingU54OD020355 · OD · SLOAN-KETTERING INST CAN RESEARCH · PI LOWE, SCOTT W., SOLIT, DAVID B. · 2015 to 2019
$9.9M
The cBioPortal for Cancer GenomicsU24CA220457 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CERAMI, ETHAN, SANDER, CHRIS · 2017 to 2021
$6.4M
IMMUNIZATION AGAINST MELANOMA DIFFERENTIATION ANTIGENSR01CA056821 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI WOLCHOK, JEDD D. · 1992 to 2020
$5.7M
Multi-view self-supervised deep learning for biological sequences and beyondR35GM126985 · NIGMS · UNIVERSITY OF SOUTH FLORIDA · PI DONG XU · 2018 to 2026
$3.8M
Origins of BRAF-mutant hematologic malignancies and their therapeutic resistanceR01CA201247 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ABDEL-WAHAB, OMAR, PARK, CHRISTOPHER Y · 2016 to 2020
$2.7M
Defining mechanisms of resistance to hormonal therapy in breast cancerR01CA234361 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHANDARLAPATY, SARAT, SOLIT, DAVID B. · 2019 to 2023
$2.0M
Development of optimal strategies to inhibit ERK signaling in tumors with RAF and MEK mutationsR01CA229624 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SOLIT, DAVID B. · 2018 to 2022
$2.0M
Understanding Long Tail Driver Mutations in CancerR01CA204749 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SCHULTZ, NIKOLAUS · 2017 to 2021
$2.0M
Targeting AKT-Mutant Human CancersR01CA207244 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SOLIT, DAVID B. · 2016 to 2020
$2.0M
Deep learning for protein subcellular/sub-organelle localizations and localization motifsR21LM012790 · NLM · UNIVERSITY OF MISSOURI-COLUMBIA · PI XU, DONG · 2018 to 2019
$380k
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA056821NCI NIH HHS R01 CA201247NCI NIH HHS R01 CA204749NCI NIH HHS R01 CA207244NCI NIH HHS R01 CA229624NCI NIH HHS R01 CA234361NCI NIH HHS U24 CA220457NIGMS NIH HHS R35 GM126985NIH HHS U54 OD020355NLM NIH HHS R21 LM012790
6 · The paper itself

Abstract

Despite significant advances in cancer precision medicine, a significant hurdle to its broader adoption remains the multitude of variants of unknown significance identified by clinical tumor sequencing and the lack of biologically validated methods to distinguish between functional and benign variants. Here we used functional data on

Indexed as

BenchmarkingNeoplasmsComputer SimulationHumansMutationProspective Studies

Identifiers

PMID32641410
PMCPMC7541597
OpenAlexW3041780717

What OpenQuestion holds

Textmetadata
LicenceTDM
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.