Evidence map›Paper›PMID 29615030›Full record

ArticleBMC systems biology2018

Systems biology analysis of mitogen activated protein kinase inhibitor resistance in malignant melanoma.

Helma Zecena, Daniel Tveit, Zi Wang, Ahmed Farhat, Parvita Panchal, Jing Liu, Simar J Singh, Amandeep Sanghera, Ajay Bainiwal, Shuan Y Teo and 3 more

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
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  6. p53 Family in Resistance to Targeted Therapy of Melanoma.International journal of molecular sciences · 2022
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  20. Down-regulation of FZD3 receptor suppresses growth and metastasis of human melanoma independently of canonical WNT signaling.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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

13 authors at 3 institutions in 2 countries.

Helma ZecenaSystems Biology and Cancer Metabolism, Program for Quantitative Systems Biology, University of California Merced, 2500 North Lake Road, Merced, CA, 95343, USA.
Daniel TveitSystems Biology and Cancer Metabolism, Program for Quantitative Systems Biology, University of California Merced, 2500 North Lake Road, Merced, CA, 95343, USA.
Zi WangDepartment of Medicine, School of Medicine, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, 92697, USA.
Ahmed FarhatDepartment of Medicine, School of Medicine, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, 92697, USA.
Parvita PanchalDepartment of Medicine, School of Medicine, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, 92697, USA.
Jing LiuDepartment of Medicine, School of Medicine, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, 92697, USA.
Simar J SinghSystems Biology and Cancer Metabolism, Program for Quantitative Systems Biology, University of California Merced, 2500 North Lake Road, Merced, CA, 95343, USA.
Amandeep SangheraSystems Biology and Cancer Metabolism, Program for Quantitative Systems Biology, University of California Merced, 2500 North Lake Road, Merced, CA, 95343, USA.
Ajay BainiwalSystems Biology and Cancer Metabolism, Program for Quantitative Systems Biology, University of California Merced, 2500 North Lake Road, Merced, CA, 95343, USA.
Shuan Y TeoSystems Biology and Cancer Metabolism, Program for Quantitative Systems Biology, University of California Merced, 2500 North Lake Road, Merced, CA, 95343, USA.
Frank L MeyskensDepartment of Medicine, School of Medicine, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, 92697, USA.
Feng Liu-SmithDepartment of Medicine, School of Medicine, Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, 92697, USA. liufe@uci.edu.
Fabian V FilippSystems Biology and Cancer Metabolism, Program for Quantitative Systems Biology, University of California Merced, 2500 North Lake Road, Merced, CA, 95343, USA. filipp@ucmerced.edu.ORCID 0000-0001-9889-5727
University of California, Merced · USUniversity of California, Irvine · USCentral South University · CN

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Tumor pyruvate kinase as key regulator of cancer metabolismR00CA154887 · NCI · UNIVERSITY OF CALIFORNIA, MERCED · PI FILIPP, FABIAN VOLKER · 2012 to 2014
$725k
Melanoma Risk: Interactions between UV Radiation and NADPH Oxidase Gene FamilyK07CA160756 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI LIU-SMITH, FENG · 2013 to 2017
$647k
Tumor pyruvate kinase as key regulator of cancer metabolismK99CA154887 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI FILIPP, FABIAN VOLKER · 2011 to 2012
$177k
NCATS NIH HHS UL1 TR001414NCI NIH HHS K07 CA160756NCI NIH HHS K99 CA154887NCI NIH HHS R00 CA154887
6 · The paper itself

Abstract

backgroundKinase inhibition in the mitogen activated protein kinase (MAPK) pathway is a standard therapy for cancer patients with activating BRAF mutations. However, the anti-tumorigenic effect and clinical benefit are only transient, and tumors are prone to treatment resistance and relapse. To elucidate mechanistic insights into drug resistance, we have established an in vitro cellular model of MAPK inhibitor resistance in malignant melanoma.

methodsThe cellular model evolved in response to clinical dosage of the BRAF inhibitor, vemurafenib, PLX4032. We conducted transcriptomic expression profiling using RNA-Seq and RT-qPCR arrays. Pathways of melanogenesis, MAPK signaling, cell cycle, and metabolism were significantly enriched among the set of differentially expressed genes of vemurafenib-resistant cells vs control. The underlying mechanism of treatment resistance and pathway rewiring was uncovered to be based on non-genomic adaptation and validated in two distinct melanoma models, SK-MEL-28 and A375. Both cell lines have activating BRAF mutations and display metastatic potential.

resultsDownregulation of dual specific phosphatases, tumor suppressors, and negative MAPK regulators reengages mitogenic signaling. Upregulation of growth factors, cytokines, and cognate receptors triggers signaling pathways circumventing BRAF blockage. Further, changes in amino acid and one-carbon metabolism support cellular proliferation despite MAPK inhibitor treatment. In addition, treatment-resistant cells upregulate pigmentation and melanogenesis, pathways which partially overlap with MAPK signaling. Upstream regulator analysis discovered significant perturbation in oncogenic forkhead box and hypoxia inducible factor family transcription factors.

conclusionsThe established cellular models offer mechanistic insight into cellular changes and therapeutic targets under inhibitor resistance in malignant melanoma. At a systems biology level, the MAPK pathway undergoes major rewiring while acquiring inhibitor resistance. The outcome of this transcriptional plasticity is selection for a set of transcriptional master regulators, which circumvent upstream targeted kinases and provide alternative routes of mitogenic activation. A fine-woven network of redundant signals maintains similar effector genes allowing for tumor cell survival and malignant progression in therapy-resistant cancer.

Indexed as

Systems BiologyCell Line, TumorHumansMelanomaMitogen-Activated Protein KinasesProtein Kinase InhibitorsTranscription FactorsTranscriptomeMitogen-Activated Protein KinasesProtein Kinase InhibitorsTranscription FactorsAdaptationCancer systems biologyDrug resistanceGenetic selectionMaster regulatorMelanogenesisMelanomaNon-genomicOmicsPrecision medicineRegulomeRewiringRNA-SeqTherapy resistanceTranscription factorTranscriptomicsUpstream regulator analysis

Identifiers

PMID29615030
PMCPMC5883534
OpenAlexW2781012674

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.