Evidence map›Paper›PMID 40837030›Full record

ArticleEuropean journal of cancer care2025

Transcriptomic Profiles and Functional Correlates of Cancer-Related Fatigue: A Cross-Sectional Study in Women Undergoing Cancer Treatment.

Amber S Kleckner, Evelina Mocci, Carin L Clingan, Shari M Youngblood, Paula Y Rosenblatt, Katherine H R Tkaczuk, Ian R Kleckner, Susan G Dorsey

Abstract read
In one paragraph

Article in European journal of cancer care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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

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.

Amber S KlecknerDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.ORCID 0000-0002-5088-1139
Evelina MocciDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.ORCID 0000-0002-7101-9556
Carin L ClinganDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.ORCID 0009-0001-7637-344X
Shari M YoungbloodDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.ORCID 0000-0003-3037-7821
Paula Y RosenblattUniversity of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, Maryland, USA.ORCID 0000-0003-1819-1653
Katherine H R TkaczukUniversity of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, Maryland, USA.ORCID 0000-0002-5978-5215
Ian R KlecknerDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.ORCID 0000-0002-9828-9986
Susan G DorseyDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.

Funding

UNIVERSITY OF MARYLAND GREENEBAUM CANCER CENTERSUPPORT GRANTP30CA134274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI FEYRUZ VIRGILIA RASSOOL · 2008 to 2026
$51.0M
NCI NIH HHS P30 CA134274
6 · The paper itself

Abstract

Background and Objectives: Cancer-related fatigue is a multifactorial condition that affects most people undergoing chemotherapy. To elucidate potential biological underpinnings of fatigue, this study tested correlations between patient-reported fatigue and (1) functional measures and (2) transcriptomics of whole blood. Methods: Women undergoing chemotherapy were recruited to a cross-sectional study. Participants reported subjective fatigue on the Functional Assessment for Chronic Illness Therapy-Fatigue (FACIT-F) and Brief Fatigue Inventory (BFI) questionnaires. Participants completed upper- and lower-body functional assessments as an objective fatigability measure. Fasted blood samples were analyzed for complete blood counts (CBCs) to quantify cell type, and RNA-Seq on whole blood was investigated for a distinct transcriptional signature in patients with high vs. low fatigue. Principal component analysis revealed that transcriptomic profiles clustered based on the neutrophil level, lymphocyte level, and several other clinical factors, which were accounted for when assessing differentially expressed genes. Results: Participants had breast (

Identifiers

PMID40837030
PMCPMC12362314

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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.