Evidence map›Paper›PMID 34257082›Full record

ArticleCancer research2021

Cell Line-Specific Network Models of ER

Jorge Gómez Tejeda Zañudo, Pingping Mao, Clara Alcon, Kailey Kowalski, Gabriela N Johnson, Guotai Xu, Jose Baselga, Maurizio Scaltriti, Anthony Letai, Joan Montero and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  8. Review
  9. Automated model refinement using perturbation-observation pairs.NPJ systems biology and applications · 2025
    Article
  10. Article
  11. Review
  12. Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Bcl-xL inhibition radiosensitizesCancer research communications · 2022
    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

12 authors at 5 institutions in 2 countries.

Jorge Gómez Tejeda Zañudo *Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, Massachusetts. jgtz@broadinsitute.org jmontero@ibecbarcelona.eu rza1@psu.edu nikhil_wagle@dfci.harvard.edu.ORCID 0000-0002-1092-0068
Pingping Mao *Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Clara AlconInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID 0000-0003-3243-9440
Kailey KowalskiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Gabriela N JohnsonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Guotai XuHuman Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Jose BaselgaHuman Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Maurizio ScaltritiHuman Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-5522-1447
Anthony LetaiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-1993-9013
Joan Montero *Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts. jgtz@broadinsitute.org jmontero@ibecbarcelona.eu rza1@psu.edu nikhil_wagle@dfci.harvard.edu.ORCID 0000-0002-9192-4836
Réka Albert *Department of Physics, The Pennsylvania State University, Pennsylvania. jgtz@broadinsitute.org jmontero@ibecbarcelona.eu rza1@psu.edu nikhil_wagle@dfci.harvard.edu.ORCID 0000-0002-9485-0828
Nikhil Wagle *Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, Massachusetts. jgtz@broadinsitute.org jmontero@ibecbarcelona.eu rza1@psu.edu nikhil_wagle@dfci.harvard.edu.
Dana-Farber Cancer Institute · USMemorial Sloan Kettering Cancer Center · USBroad Institute · USInstitute for Bioengineering of Catalonia · ESPennsylvania State University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748The V Foundation for Cancer Research D2015-039
6 · The paper itself

Abstract

Durable control of invasive solid tumors necessitates identifying therapeutic resistance mechanisms and effective drug combinations. In this work, we used a network-based mathematical model to identify sensitivity regulators and drug combinations for the PI3Kα inhibitor alpelisib in estrogen receptor positive (ER

Indexed as

Drug Resistance, NeoplasmAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsCell Line, TumorCell ProliferationClass I Phosphatidylinositol 3-KinasesComputer SimulationCyclin-Dependent Kinase Inhibitor p27Estrogen Receptor alphaFemaleFulvestrantHEK293 CellsHumansMCF-7 CellsModels, TheoreticalAlpelisibAntineoplastic AgentsCDKN1B protein, humanClass I Phosphatidylinositol 3-KinasesCyclin-Dependent Kinase Inhibitor p27ESR1 protein, humanEstrogen Receptor alphaFulvestrantMCL1 protein, humanMyeloid Cell Leukemia Sequence 1 ProteinPIK3CA protein, humanRB1 protein, humanReceptors, EstrogenRetinoblastoma Binding ProteinsThiazolesUbiquitin-Protein Ligases

Identifiers

PMID34257082
PMCPMC8744502
OpenAlexW3178417187

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.