Evidence map›Paper›PMID 39632477›Full record

ArticleCancer medicine2024

Molecular Spectroscopy for the Biochemical Composition Analysis of Patient-Derived Pancreatic Cancer Organoids.

Christian Teske, Katja Liedel, Alexander Hirle, Franziska Baenke, Daniel E Stange, Jürgen Weitz, Grit Preusse, Gerald Steiner

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Christian TeskeDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0002-6049-4765
Katja LiedelDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Alexander HirleDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Franziska BaenkeDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Daniel E StangeDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Jürgen WeitzDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Grit PreusseDepartment of Anesthesia and Intensive Care, Clinical Sensoring and Monitoring, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Gerald SteinerDepartment of Anesthesia and Intensive Care, Clinical Sensoring and Monitoring, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Funding

MeDDrive Grant Technische Universität DresdenWilhelm Sander-Stiftung 2020.138.1
6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDAC) continues to pose profound challenges within the field of oncology due to its notorious resistance to existing therapies and constant high mortality rates. The recent emergence of three-dimensional patient-derived organoid (PDO) models marks a significant advancement, opening new avenues for exploring cancer biology and assessing therapeutic approaches.

aimsThe aim of this study focuses on the innovative use of Fourier-transform infrared (FT-IR) spectroscopy to analyze PDAC organoids, thus illuminating their biochemical intricacies. MATERIALS AND

methodsIn this study, PDAC organoids, cultivated from specimens sourced from cancer patients, were subjected to FT-IR spectroscopic imaging. By examining the spectral data within the critical fingerprint region (950-1800 cm

resultsThe results revealed distinct spectral profiles corresponding to different sample preparation techniques, which in turn highlighted variations in protein content and structure. PCA revealed a high homogeneity within classes and minimal passage number influence on spectral profiles, with variations in lipid content and protein profiles. Significantly, the biochemical fingerprint of these PDOs closely mirrored that of the original human tissue samples.

conclusionThis investigation underscores the efficacy of molecular spectroscopy as a non-invasive method for profound characterization of PDAC organoids, enhancing our comprehension of tumor biochemistry. The capacity for swift and precise biochemical profiling of PDOs via molecular spectroscopy heralds a promising future for this technique in the realms of cancer diagnostics and personalized medicine.

Indexed as

Carcinoma, Pancreatic DuctalOrganoidsPancreatic NeoplasmsPrincipal Component AnalysisHumansSpectroscopy, Fourier Transform InfraredFT‐IRorganoidspancreatic cancerPDOspectroscopy

Identifiers

PMID39632477
PMCPMC11617587

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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.