Evidence map›Paper›PMID 29352235›Full record

ArticleCell death & disease2018

Systems modeling accurately predicts responses to genotoxic agents and their synergism with BCL-2 inhibitors in triple negative breast cancer cells.

Federico Lucantoni, Andreas U Lindner, Norma O'Donovan, Heiko Düssmann, Jochen H M Prehn

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
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  13. Effect ofFrontiers in cell and developmental biology · 2022
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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 at 2 institutions in 1 country.

Federico LucantoniDepartment of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, 2, Ireland.ORCID 0000-0001-5173-7836
Andreas U LindnerDepartment of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, 2, Ireland.
Norma O'DonovanNational Institute for Cellular Biotechnology, Dublin City University, Dublin, 9, Ireland.
Heiko DüssmannDepartment of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, 2, Ireland.
Jochen H M PrehnDepartment of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, 2, Ireland. jprehn@rcsi.ie.
Royal College of Surgeons in Ireland · IEDublin City University · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple negative breast cancer (TNBC) is an aggressive form of breast cancer which accounts for 15-20% of this disease and is currently treated with genotoxic chemotherapy. The BCL2 (B-cell lymphoma 2) family of proteins controls the process of mitochondrial outer membrane permeabilization (MOMP), which is required for the activation of the mitochondrial apoptosis pathway in response to genotoxic agents. We previously developed a deterministic systems model of BCL2 protein interactions, DR_MOMP that calculates the sensitivity of cells to undergo mitochondrial apoptosis. Here we determined whether DR_MOMP predicts responses of TNBC cells to genotoxic agents and the re-sensitization of resistant cells by BCL2 inhibitors. Using absolute protein levels of BAX, BAK, BCL2, BCL(X)L and MCL1 as input for DR_MOMP, we found a strong correlation between model predictions and responses of a panel of TNBC cells to 24 and 48 h cisplatin (R

Indexed as

HumansProto-Oncogene Proteins c-bcl-2Systems AnalysisTriple Negative Breast NeoplasmsBCL2 protein, humanProto-Oncogene Proteins c-bcl-2

Identifiers

PMID29352235
PMCPMC5833806
OpenAlexW2785859194

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.