Evidence map›Paper›PMID 40296353›Full record

ArticleAdvanced healthcare materials2025

Enzyme-Instructed Self-Assembly Reprograms Fatty Acid Metabolism for Cancer Therapeutics.

Hongjian He, Haonan Lin, Le Wang, Xinyan Teng, Samar Aldahan, Meng Zhang, Meihui Yi, Guangrui Ding, Bing Xu, Ji-Xin Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

10 authors.

Hongjian HeDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA.
Haonan LinDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA.
Le WangDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA.
Xinyan TengPhotonics Center, Boston University, Boston, MA, 02215, USA.
Samar AldahanDepartment of Biomedical Engineering, Boston University, Boston, MA, 02215, USA.
Meng ZhangDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA.
Meihui YiDepartment of Chemistry, Brandeis University, Waltham, MA, 02453, USA.
Guangrui DingDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA.
Bing XuDepartment of Chemistry, Brandeis University, Waltham, MA, 02453, USA.ORCID 0000-0002-4639-387X
Ji-Xin ChengDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA.ORCID 0000-0002-5607-6683

Funding

Subcellular Enzyme-instructed self-assembly for molecular anticancer nanomedicinesR01CA142746 · NCI · BRANDEIS UNIVERSITY · PI Bing Xu · 2010 to 2026
$6.4M
Vibrational Spectroscopic Imaging to Unveil Hidden Signatures in Living SystemsR35GM136223 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHENG, JI-XIN · 2020 to 2025
$5.7M
NCI NIH HHS R01 CA142746NIGMS NIH HHS R35 GM136223
6 · The paper itself

Abstract

Enzyme-instructed self-assembly (EISA) is actively explored as a promising therapeutic approach for cancer treatment. However, the metabolic response of cancer cells to EISA remains under-studied. Here, by stimulated Raman scattering (SRS) imaging in C─H, fingerprint, and silent windows, it is found that the formation of peptide assemblies within and around cancer cells significantly enhances both lipids catabolism and fatty acids (FAs) uptake. It is further found that the increased uptake of FAs aids the resistance of cancer cells under EISA treatment, likely to cope with the stress induced by the peptide assemblies. Combining EISA with FAs uptake inhibition leads to enhanced cancer suppression compared to EISA alone, while additional FAs supplementation rescue cancer cells from EISA treatment, both in vitro and in 3D-culture spheroid models. These findings shed new light on the impact of EISA on the metabolic activities of cancer cells and suggest a new approach for improved cancer therapy.

Indexed as

Fatty AcidsNeoplasmsPeptidesCell Line, TumorHumansLipid MetabolismSpectrum Analysis, RamanSpheroids, CellularFatty AcidsPeptidescancer treatmentlipid metabolismpeptideself‐assembly

Identifiers

PMID40296353
PMCPMC12119209

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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.