Evidence map›Paper›PMID 30143015›Full record

ArticleBMC cancer2018

Association of tamoxifen resistance and lipid reprogramming in breast cancer.

Susanne Hultsch, Matti Kankainen, Lassi Paavolainen, Ruusu-Maaria Kovanen, Elina Ikonen, Sara Kangaspeska, Vilja Pietiäinen, Olli Kallioniemi

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed
5.6field-weighted citation impact, top 2% 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

108 citing papers in PubMed, 216 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Abnormal changes in metabolites caused by mJournal of advanced research · 2025
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Regulating Lipid MetabolismRecent patents on anti-cancer drug discovery · 2025
    Article
  20. Review

48 more citing papers are in PubMed but not listed here.

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

8 authors at 1 institution in 2 countries.

Susanne HultschInstitute for Molecular Medicine Finland, FIMM, Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland. susanne.hultsch@fimm.fi.ORCID http://orcid.org/0000-0001-6739-1665
Matti KankainenInstitute for Molecular Medicine Finland, FIMM, Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland.
Lassi PaavolainenInstitute for Molecular Medicine Finland, FIMM, Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland.
Ruusu-Maaria KovanenInstitute for Molecular Medicine Finland, FIMM, Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland.
Elina IkonenDepartment of Anatomy, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Sara KangaspeskaInstitute for Molecular Medicine Finland, FIMM, Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland.
Vilja PietiäinenInstitute for Molecular Medicine Finland, FIMM, Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland.
Olli KallioniemiInstitute for Molecular Medicine Finland, FIMM, Helsinki Institute for Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland.
University of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTamoxifen treatment of estrogen receptor (ER)-positive breast cancer reduces mortality by 31%. However, over half of advanced ER-positive breast cancers are intrinsically resistant to tamoxifen and about 40% will acquire the resistance during the treatment.

methodsIn order to explore mechanisms underlying endocrine therapy resistance in breast cancer and to identify new therapeutic opportunities, we created tamoxifen-resistant breast cancer cell lines that represent the luminal A or the luminal B. Gene expression patterns revealed by RNA-sequencing in seven tamoxifen-resistant variants were compared with their isogenic parental cells. We further examined those transcriptomic alterations in a publicly available patient cohort.

resultsWe show that tamoxifen resistance cannot simply be explained by altered expression of individual genes, common mechanism across all resistant variants, or the appearance of new fusion genes. Instead, the resistant cell lines shared altered gene expression patterns associated with cell cycle, protein modification and metabolism, especially with the cholesterol pathway. In the tamoxifen-resistant T-47D cell variants we observed a striking increase of neutral lipids in lipid droplets as well as an accumulation of free cholesterol in the lysosomes. Tamoxifen-resistant cells were also less prone to lysosomal membrane permeabilization (LMP) and not vulnerable to compounds targeting the lipid metabolism. However, the cells were sensitive to disulfiram, LCS-1, and dasatinib.

conclusionAltogether, our findings highlight a major role of LMP prevention in tamoxifen resistance, and suggest novel drug vulnerabilities associated with this phenotype.

Indexed as

Antineoplastic Agents, HormonalBreast NeoplasmsCellular ReprogrammingCholesterolDrug Resistance, NeoplasmEstrogen Receptor alphaFemaleGene Expression Regulation, NeoplasticHumansLipid MetabolismLipidsLysosomesMCF-7 CellsTamoxifenTranscriptomeTriglyceridesAntineoplastic Agents, HormonalCholesterolEstrogen Receptor alphaLipidsTamoxifenTriglyceridesBreast cancerDrug sensitivity and resistance testingLysosomal membrane permeabilizationRNA-sequencingTamoxifen resistance

Identifiers

PMID30143015
PMCPMC6109356
OpenAlexW2950604004

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.