Evidence map›Paper›PMID 38332203›Full record

ArticleScientific reports2024

Comparative oncology chemosensitivity assay for personalized medicine using low-coherence digital holography of dynamic light scattering from cancer biopsies.

Zhen Hua, Zhe Li, Dawith Lim, Ali Ajrouch, Ahmad Karkash, Shadia Jalal, Michael Childress, John Turek, David Nolte

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

9 authors at 2 institutions in 1 country.

Zhen HuaDepartment of Physics, Purdue University, West Lafayette, USA.
Zhe LiDepartment of Physics, Purdue University, West Lafayette, USA.
Dawith LimDepartment of Physics, Purdue University, West Lafayette, USA.
Ali AjrouchDivision of Hematology/Oncology, Indiana University School of Medicine, Indianapolis, USA.
Ahmad KarkashDivision of Hematology/Oncology, Indiana University School of Medicine, Indianapolis, USA.
Shadia JalalDivision of Hematology/Oncology, Indiana University School of Medicine, Indianapolis, USA.ORCID 0000-0001-8938-7077
Michael ChildressDepartment of Veterinary Clinical Sciences, Purdue University, West Lafayette, USA.ORCID 0000-0001-6127-4679
John TurekDepartment of Basic Medical Sciences, Purdue University, West Lafayette, USA.ORCID 0000-0003-4631-7356
David NolteDepartment of Physics, Purdue University, West Lafayette, USA. nolte@purdue.edu.ORCID 0000-0002-4872-9357
Purdue University West Lafayette · USIndiana University School of Medicine

Funding

National Science Foundation CBET-2200186
6 · The paper itself

Abstract

Nearly half of cancer patients who receive standard-of-care treatments fail to respond to their first-line chemotherapy, demonstrating the pressing need for improved methods to select personalized cancer therapies. Low-coherence digital holography has the potential to fill this need by performing dynamic contrast OCT on living cancer biopsies treated ex vivo with anti-cancer therapeutics. Fluctuation spectroscopy of dynamic light scattering under conditions of holographic phase stability captures ultra-low Doppler frequency shifts down to 10 mHz caused by light scattering from intracellular motions. In the comparative preclinical/clinical trials presented here, a two-species (human and canine) and two-cancer (esophageal carcinoma and B-cell lymphoma) analysis of spectral phenotypes identifies a set of drug response characteristics that span species and cancer type. Spatial heterogeneity across a centimeter-scale patient biopsy sample is assessed by measuring multiple millimeter-scale sub-samples. Improved predictive performance is achieved for chemoresistance profiling by identifying red-shifted sub-samples that may indicate impaired metabolism and removing them from the prediction analysis. These results show potential for using biodynamic imaging for personalized selection of cancer therapy.

Indexed as

HolographyNeoplasmsAnimalsDogsDynamic Light ScatteringHumansPrecision MedicineQuantitative Phase Imaging

Identifiers

PMID38332203
PMCPMC10853550
OpenAlexW4391646302

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.