Evidence map›Paper›PMID 41315957›Full record

ReviewClinical proteomics2025

Mass spectrometry-based proteomics of FFPE tissues: progress, limitations, and clinical translation barriers.

Sara Abdulmohsen AlHammadi, Lamar Nabil Nagshabandi, Huzaifa Muhammad, Hatouf H Sukkarieh, Ahmad Aljada

Abstract readReview
In one paragraph

Review in Clinical proteomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Review
  6. From Theory to Practice: Which Biomarkers Are Ready for Predicting Response in Advanced HCC?Liver international : official journal of the International Association for the Study of the Liver · 2026
    Review
  7. Review
  8. Article
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

5 authors.

Sara Abdulmohsen AlHammadiCollege of Medicine, Alfaisal University, Riyadh, 11533, Saudi Arabia.
Lamar Nabil NagshabandiCollege of Medicine, Alfaisal University, Riyadh, 11533, Saudi Arabia.
Huzaifa MuhammadCollege of Medicine, Alfaisal University, Riyadh, 11533, Saudi Arabia.
Hatouf H SukkariehDepartment of Pharmacology, College of Medicine, Alfaisal University, Riyadh, 11533, Saudi Arabia.
Ahmad AljadaDepartment of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh, 11533, Saudi Arabia. aaljada@alfaisal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFormalin-fixed paraffin-embedded (FFPE) tissue proteomics has emerged as a promising approach for precision medicine, offering access to vast clinical archives. Despite technological advances enabling identification of thousands of proteins from FFPE samples, no proteomic diagnostic tests based on FFPE tissues have achieved regulatory approval for clinical diagnostics, raising fundamental questions about the translational viability of this approach. MAIN BODY: This review critically evaluates the realistic barriers preventing clinical translation of FFPE proteomics and identifies targeted applications with genuine promise for near-term implementation. We demonstrate that while comprehensive discovery-based proteomics faces insurmountable challenges including validation failure rates exceeding 90%, targeted proteomic strategies focused on specific clinical questions show substantially greater potential. Current implementation barriers extend beyond technical limitations to encompass economic constraints (5-10-fold higher costs than immunohistochemistry), regulatory uncertainties, and fundamental incompatibilities with clinical laboratory workflows. The persistent emphasis on increasingly complex analytical platforms may represent misallocated resources given unresolved standardization and validation challenges.

conclusionStrategic redirection toward targeted proteomic applications addressing specific diagnostic needs, rather than comprehensive molecular profiling, offers the most viable pathway for clinical translation. Success will require prioritizing applications where FFPE proteomics provides unique, actionable information that justifies its complexity and cost relative to established methodologies. We propose specific criteria for identifying high-impact applications and outline a pragmatic roadmap for achieving clinical implementation within realistic timeframes.

Indexed as

Biomarker validationClinical proteomicsClinical translationFFPE tissuesMass spectrometryPrecision medicineTargeted proteomics

Identifiers

PMID41315957
PMCPMC12661799

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.