Evidence map›Paper›PMID 38565978›Full record

ArticleClinical proteomics2024

Simultaneous targeted and discovery-driven clinical proteotyping using hybrid-PRM/DIA.

Sandra Goetze, Audrey van Drogen, Jonas B Albinus, Kyle L Fort, Tejas Gandhi, Damiano Robbiani, Véronique Laforte, Lukas Reiter, Mitchell P Levesque, Yue Xuan and 1 more

Abstract read
In one paragraph

Article in Clinical proteomics, 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
–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

11 authors.

Sandra GoetzeInstitute of Translational Medicine (ITM), Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zurich, Switzerland. sandra.goetze@hest.ethz.ch.
Audrey van DrogenInstitute of Translational Medicine (ITM), Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zurich, Switzerland.
Jonas B AlbinusInstitute of Translational Medicine (ITM), Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zurich, Switzerland.
Kyle L FortThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Tejas GandhiBiognosys, Schlieren, Switzerland.
Damiano RobbianiBiognosys, Schlieren, Switzerland.
Véronique LaforteBiognosys, Schlieren, Switzerland.
Lukas ReiterBiognosys, Schlieren, Switzerland.
Mitchell P LevesqueDepartment of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Yue XuanThermo Fisher Scientific (Bremen) GmbH, Bremen, Germany.
Bernd WollscheidInstitute of Translational Medicine (ITM), Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zurich, Switzerland. bernd.wollscheid@hest.ethz.ch.

Funding

Personalized Health and Related Technologies strategic focus area (PHRT), ETHZ PHRT 2022-601Thermo Fisher Scientific 20211215
6 · The paper itself

Abstract

backgroundClinical samples are irreplaceable, and their transformation into searchable and reusable digital biobanks is critical for conducting statistically empowered retrospective and integrative research studies. Currently, mainly data-independent acquisition strategies are employed to digitize clinical sample cohorts comprehensively. However, the sensitivity of DIA is limited, which is why selected marker candidates are often additionally measured targeted by parallel reaction monitoring.

methodsHere, we applied the recently co-developed hybrid-PRM/DIA technology as a new intelligent data acquisition strategy that allows for the comprehensive digitization of rare clinical samples at the proteotype level. Hybrid-PRM/DIA enables enhanced measurement sensitivity for a specific set of analytes of current clinical interest by the intelligent triggering of multiplexed parallel reaction monitoring (MSxPRM) in combination with the discovery-driven digitization of the clinical biospecimen using DIA. Heavy-labeled reference peptides were utilized as triggers for MSxPRM and monitoring of endogenous peptides.

resultsWe first evaluated hybrid-PRM/DIA in a clinical context on a pool of 185 selected proteotypic peptides for tumor-associated antigens derived from 64 annotated human protein groups. We demonstrated improved reproducibility and sensitivity for the detection of endogenous peptides, even at lower concentrations near the detection limit. Up to 179 MSxPRM scans were shown not to affect the overall DIA performance. Next, we applied hybrid-PRM/DIA for the integrated digitization of biobanked melanoma samples using a set of 30 AQUA peptides against 28 biomarker candidates with relevance in molecular tumor board evaluations of melanoma patients. Within the DIA-detected approximately 6500 protein groups, the selected marker candidates such as UFO, CDK4, NF1, and PMEL could be monitored consistently and quantitatively using MSxPRM scans, providing additional confidence for supporting future clinical decision-making.

conclusionsCombining PRM and DIA measurements provides a new strategy for the sensitive and reproducible detection of protein markers from patients currently being discussed in molecular tumor boards in combination with the opportunity to discover new biomarker candidates.

Indexed as

Clinical phenotypingData-independent acquisition (DIA)DiagnosticsHybrid-DIAHybrid-PRM/DIAMelanomaMolecular tumor boardParallel reaction monitoring (PRM)ProteotypingTranslational proteomics

Identifiers

PMID38565978
PMCPMC10988896

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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.