Evidence map›Paper›PMID 35246961›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Integrated Design of a Membrane-Lytic Peptide-Based Intravenous Nanotherapeutic Suppresses Triple-Negative Breast Cancer.

Charles H Chen, Yu-Han Liu, Arvin Eskandari, Jenisha Ghimire, Leon Chien-Wei Lin, Zih-Syun Fang, William C Wimley, Jakob P Ulmschneider, Kogularamanan Suntharalingam, Che-Ming Jack Hu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Guidelines for Comparing Circular Dichroism Spectroscopy and Molecular Dynamics Simulations for Biomolecules.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
  2. Review
  3. Article
  4. Emerging Nanozyme Strategies for Precision Breast Cancer Treatment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. 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

11 authors at 5 institutions in 5 countries.

Charles H ChenDepartment of Chemistry, King's College London, London, SE1 1DB, UK.
Yu-Han LiuInstitute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan.
Arvin EskandariDepartment of Chemistry, King's College London, London, SE1 1DB, UK.
Jenisha GhimireDepartment of Biochemistry and Molecular Biology, Tulane University, New Orleans, LA, 70112, USA.
Leon Chien-Wei LinInstitute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan.
Zih-Syun FangInstitute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan.
William C WimleyDepartment of Biochemistry and Molecular Biology, Tulane University, New Orleans, LA, 70112, USA.
Jakob P UlmschneiderDepartment of Physics, Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China.
Kogularamanan SuntharalingamSchool of Chemistry, University of Leicester, Leicester, LE1 7RH, UK.
Che-Ming Jack HuInstitute of Biomedical Sciences, Academia Sinica, Taipei, 115, Taiwan.
Martin B UlmschneiderDepartment of Chemistry, King's College London, London, SE1 1DB, UK.ORCID 0000-0001-8103-0516
Institute of Biomedical Sciences, Academia Sinica · TWKing's College London · GBTulane University · USShanghai Jiao Tong University · CNUniversity of Leicester · GB

Funding

China 1000 Plan's Program for Young Talents 13Z127060001KCL PhD scholarshipsLeverhulme Trust
6 · The paper itself

Abstract

Membrane-lytic peptides offer broad synthetic flexibilities and design potential to the arsenal of anticancer therapeutics, which can be limited by cytotoxicity to noncancerous cells and induction of drug resistance via stress-induced mutagenesis. Despite continued research efforts on membrane-perforating peptides for antimicrobial applications, success in anticancer peptide therapeutics remains elusive given the muted distinction between cancerous and normal cell membranes and the challenge of peptide degradation and neutralization upon intravenous delivery. Using triple-negative breast cancer as a model, the authors report the development of a new class of anticancer peptides. Through function-conserving mutations, the authors achieved cancer cell selective membrane perforation, with leads exhibiting a 200-fold selectivity over non-cancerogenic cells and superior cytotoxicity over doxorubicin against breast cancer tumorspheres. Upon continuous exposure to the anticancer peptides at growth-arresting concentrations, cancer cells do not exhibit resistance phenotype, frequently observed under chemotherapeutic treatment. The authors further demonstrate efficient encapsulation of the anticancer peptides in 20 nm polymeric nanocarriers, which possess high tolerability and lead to effective tumor growth inhibition in a mouse model of MDA-MB-231 triple-negative breast cancer. This work demonstrates a multidisciplinary approach for enabling translationally relevant membrane-lytic peptides in oncology, opening up a vast chemical repertoire to the arms race against cancer.

Indexed as

Antineoplastic AgentsTriple Negative Breast NeoplasmsAnimalsCell Line, TumorDoxorubicinHumansMicePeptidesAntineoplastic AgentsDoxorubicinPeptidesanticancer peptidesdrug resistancemembrane-active anticancer agentsmulticellular tumor spheroidsmurine modelsnanoparticlestriple negative breast cancer

Identifiers

PMID35246961
PMCPMC9069370
OpenAlexW4220666365

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.