Evidence mapPaperPMID 42467926Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Systemic Nanomechanical Single-Cell Profiling Reveals Mechanophenotype Transitions Under Therapeutic Perturbation.

Minhee Ku, Jinwon Kwon, Nara Yoon, Hyung Kwon Byeon, Jaemoon Yang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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.

Minhee KuDepartment of Radiology, College of Medicine, Yonsei University, Seoul, Republic of Korea.
Jinwon KwonDepartment of Radiology, College of Medicine, Yonsei University, Seoul, Republic of Korea.
Nara YoonDepartment of Radiology, College of Medicine, Yonsei University, Seoul, Republic of Korea.
Hyung Kwon ByeonDepartment of Otorhinolaryngology-Head and Neck Surgery, Soonchunhyang University College of Medicine, Seoul, Republic of Korea.
Jaemoon YangDepartment of Radiology, College of Medicine, Yonsei University, Seoul, Republic of Korea.

Funding

Ministry of Science and ICT NRF- 2020R1A2C1101616Ministry of Science and ICT NRF-2020R1C1C1007776Ministry of Science and ICT NRF-2021R1A2C1009894Ministry of Science and ICT RS-2026-25468605National Research Foundation of Korea
6 · The paper itself

Abstract

Mechanical remodeling of cancer cells plays a critical role in regulating invasive behavior, yet its quantitative relationship with therapeutic response remains insufficiently defined. Here, we systematically characterize drug-induced mechanophenotype changes at the single-cell level using an integrated nanomechanical profiling approach that combines atomic force microscopy-based force mapping of fixed cells, high-resolution imaging, and cytomorphometric analysis under room-temperature conditions. Pharmacological perturbation induces pronounced cytoskeletal reorganization accompanied by increased cortical stiffness and surface roughness. Systemic multivariate analysis identifies 11 biophysical parameters associated with invasive capacity, with nucleus modulus, cytoskeletal network density, and cortical roughness emerging as dominant contributors. Dimensionality reduction (principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA)) reveals a distinct mechanophenotype transition characterized by elevated stiffness and suppressed protrusive activity. Especially, reduced invasiveness correlates with increased cortical roughness and reorganization of perinuclear cytoskeletal structures, indicating that these features define a quantitative mechanical signature of phenotypic reprogramming. This integrated mechanical signature enables discrimination between invasive and noninvasive states at the single-cell level. These results establish nanomechanical profiling as a quantitative framework for assessing drug-induced phenotypic transitions and provide a complementary approach to conventional molecular assays for evaluating therapeutic response in cancer cells.

Indexed as

cancer biomechanicscytoskeletal nanostructuremechanomicsmechanophenotype transitionmulti‐nanoscopysingle‐cell nanometrology

Identifiers

PMID42467926
PMCPMC13379253

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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 Socratic graph.