Evidence map›Paper›PMID 41727367›Full record

ArticleACS measurement science au2026

Investigating Spectral Biomarker Candidates for Migratory Potential in Cancer Cells Using Micro-FTIR and O‑PTIR Spectroscopy.

Elisabeth Holub, Nikolaus Hondl, Kai-Lan Lin, Marjaana Parikainen, Cecilia Sahlgren, Bernhard Lendl, Georg Ramer

Abstract read
In one paragraph

Article in ACS measurement science au, 2026. 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
–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

4 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

7 authors.

Elisabeth HolubInstitute of Chemical Technologies and Analytics, TU Wien, 1060, Wien, Austria.ORCID https://orcid.org/0009-0006-0703-9524
Nikolaus HondlInstitute of Chemical Technologies and Analytics, TU Wien, 1060, Wien, Austria.ORCID https://orcid.org/0009-0001-9282-4474
Kai-Lan LinFaculty of Science and Engineering, Åbo Academi, 20500, Turku, Finland.
Marjaana ParikainenFaculty of Science and Engineering, Åbo Academi, 20500, Turku, Finland.
Cecilia SahlgrenFaculty of Science and Engineering, Åbo Academi, 20500, Turku, Finland.
Bernhard LendlInstitute of Chemical Technologies and Analytics, TU Wien, 1060, Wien, Austria.ORCID https://orcid.org/0000-0003-3838-5842
Georg RamerInstitute of Chemical Technologies and Analytics, TU Wien, 1060, Wien, Austria.ORCID https://orcid.org/0000-0001-8307-5435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Routine diagnostic practice for cancer and metastasis relies on a time-consuming staining process and the use of antibodies to detect selected molecular markers and is hence limited by a lack of real-time data and the availability of molecular information. Against this background, techniques based on rapid chemical analysis to identify migratory properties are highly desirable. Fourier-Transform Infrared (FTIR) microspectroscopy has a long history in the label-free identification of infrared marker bands for cancer detection. However, it requires extensive postprocessing of the acquired spectra, is of limited suitability for analysis in aqueous environments, and has poor spatial resolution. To overcome these challenges, we are using a new method termed Optical Photothermal Infrared (O-PTIR) spectroscopy to detect local absorption to establish potential IR tumor markers and classification models. We report on experimental outcomes using machine learning and FTIR microspectroscopy for the classification of cells and the analysis of spectral features reflecting cancer and migratory properties, comparing a commercial FTIR microspectrometer to a custom-built O-PTIR instrument dedicated to spectroscopic measurement and imaging in microfluidic channels.

Indexed as

FTIRinfrared spectroscopymigratory cellsO-PTIRspectral biomarkers

Identifiers

PMID41727367
PMCPMC12921600

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Registered trials

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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.