Evidence map›Paper›PMID 39623008›Full record

ArticleNPJ precision oncology2024

Extreme wrinkling of the nuclear lamina is a morphological marker of cancer.

Ting-Ching Wang, Christina R Dollahon, Sneha Mishra, Hailee Patel, Samere Abolghasemzade, Ishita Singh, Vilmos Thomazy, Daniel G Rosen, Vlad C Sandulache, Saptarshi Chakraborty and 1 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

11 authors.

Ting-Ching Wang *Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, USA.
Christina R Dollahon *Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA.ORCID http://orcid.org/0000-0003-2628-5342
Sneha MishraDepartment of Computer Science & Engineering, Texas A&M University, College Station, TX, USA.
Hailee PatelDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, USA.
Samere AbolghasemzadeDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, USA.
Ishita SinghDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, USA.
Vilmos ThomazyPathology, Baylor College of Medicine, Houston, TX, USA.
Daniel G RosenMichael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
Vlad C SandulacheBobby R. Alford Department of Otolaryngology Head and Neck Surgery, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-9205-385X
Saptarshi ChakrabortyDepartment of Biostatistics, University at Buffalo, Buffalo, NY, USA.
Tanmay P LeleArtie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, USA. tanmay.lele@tamu.edu.ORCID http://orcid.org/0000-0001-8574-1251

Funding

Nuclear Dysfunction in Cancer: The Role of Mechanical Stresses Transmittedby the LINC ComplexU01CA225566 · NCI · UNIVERSITY OF FLORIDA · PI LELE, TANMAY P. · 2020 to 2024
$3.1M
Determining the impact of ancestry on oropharyngeal cancer biology and treatment response.R21DE032344 · NIDCR · BAYLOR COLLEGE OF MEDICINE · PI CORREDOR, GERMAN, SANDULACHE, VLAD C · 2023 to 2024
$471k
An imaging AI-driven predictive chemoradiation response tool for Veterans with oropharyngeal cancerI01CX002776 · VA · MICHAEL E DEBAKEY VA MEDICAL CENTER · PI Anant Madabhushi, VLAD C SANDULACHE · 2024 to 2026
–
Cancer Prevention and Research Institute of Texas (Cancer Prevention Research Institute of Texas) RR200043CSRD VA I01 CX002776NCI NIH HHS U01 CA225566NIDCR NIH HHS R21 DE032344U.S. Department of Veterans Affairs (Department of Veterans Affairs) 1I01CX002776
6 · The paper itself

Abstract

Nuclear atypia is a hallmark of cancer. A recent model posits that excess surface area, visible as folds/wrinkles in the lamina of a rounded nucleus, allows the nucleus to take on diverse shapes with little mechanical resistance. Whether this model is applicable to normal and cancer nuclei in human tissues is unclear. We image nuclear lamins in patient tissues and find: (a) nuclear laminar wrinkles are present in control and cancer tissue but are obscured in hematoxylin and eosin (H&E) images, (b) nuclei rarely have a smooth lamina, and (c) wrinkled nuclei assume diverse shapes. Deep learning reveals the presence of extreme nuclear laminar wrinkling in cancer tissues, which is confirmed by Fourier analysis. These data support a model in which excess surface area in the nuclear lamina enables nuclear shape diversity in vivo. Extreme laminar wrinkling is a marker of cancer, and imaging the lamina may benefit cancer diagnosis.

Identifiers

PMID39623008
PMCPMC11612457

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.