Evidence map›Paper›PMID 40819342›Full record

ReviewAmerican journal of clinical dermatology2025

Advancing Precision Medicine in Inflammatory Skin Disease.

Michelle Yuan, Jinwoo Lee, Mark Taylor, Raymond J Cho, Jeffrey B Cheng

Abstract readReview
In one paragraph

Review in American journal of clinical dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Epithelial-Dermal Immune Memory: TrackingInternational journal of molecular sciences · 2026
    Review
  3. Article
  4. Review
  5. Review
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.

Michelle YuanDepartment of Dermatology, University of California, San Francisco, 1701 Divisadero Street, 3rd Floor, San Francisco, CA, 94115, USA.
Jinwoo LeeDepartment of Dermatology, Stanford University, Stanford, CA, USA.
Mark TaylorDepartment of Dermatology, University of California, San Francisco, 1701 Divisadero Street, 3rd Floor, San Francisco, CA, 94115, USA.
Raymond J ChoDepartment of Dermatology, University of California, San Francisco, 1701 Divisadero Street, 3rd Floor, San Francisco, CA, 94115, USA. Raymond.Cho@ucsf.edu.ORCID http://orcid.org/0000-0001-6090-6603
Jeffrey B Cheng *Department of Dermatology, University of California, San Francisco, 1701 Divisadero Street, 3rd Floor, San Francisco, CA, 94115, USA. Jeffrey.cheng@ucsf.edu.

Funding

Defining and treating genetic abnormalities in psoriasis/atopic dermatitis-overlap dermatosesR01AR084006 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Raymond Jaihyun Cho · 2025 to 2026
$1.2M
Investigating single-T cell atopic gene networks in Asian and Hispanic genetic backgroundsR56AR082484 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHO, RAYMOND JAIHYUN · 2024 to 2024
$344k
CSRD VA I01 CX002608NIAMS NIH HHS R01 AR084006NIAMS NIH HHS R56 AR082484U.S. Department of Veterans Affairs I01CX002608
6 · The paper itself

Abstract

The growing availability of targeted immunomodulatory therapies has transformed the treatment landscape for chronic inflammatory skin diseases. However, treatment selection remains largely empirical, often guided more by trial-and-error and insurance mandates than by an individual patient's underlying disease biology. This disconnect between therapeutic strategy and the need to address and calibrate for patient molecular heterogeneity undermines clinical outcomes and contributes to inefficiency in care delivery. Precision medicine offers a solution by tailoring diagnosis and treatment to the molecular and cellular features of each patient's skin disease. In this Current Opinion, we outline key clinical contexts where precision approaches can be transformative: diagnostic ambiguity, selecting treatments for an established diagnosis, and selecting treatments without a defined diagnosis or disease mechanism. We highlight advances in precision techniques such as single-cell RNA sequencing and spatial transcriptomics that enable more refined skin disease classification and accurate prediction of drug response. Although several challenges remain before these techniques can be widely adopted, such as limited biomarker validation, high costs, and a lack of breadth in research cohorts, we argue that their potential benefits, for patients, clinicians, and the broader field of dermatologic care, substantially outweigh the associated costs. We advocate for expanded funding, population-based research, and scalable diagnostics to successfully integrate precision medicine into dermatology. By combining molecular phenotyping with traditional clinicopathologic diagnosis, precision medicine can reduce therapeutic inefficiency, improve patient outcomes, and redefine care paradigms in chronic inflammatory skin disease.

Indexed as

DermatologyPrecision MedicineSkin DiseasesBiomarkersHumansSingle-Cell AnalysisSkinBiomarkers

Identifiers

PMID40819342
PMCPMC12615522

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.