Evidence map›Paper›PMID 35766906›Full record

ArticleBritish journal of haematology2022

Peripheral blood CD3

Geoffrey Fell, Ashley E Rosko, Gregory A Abel, Clark Dumontier, Kelly J Higby, Anays Murillo, Donna S Neuberg, Christin E Burd, Andrew A Lane

Open access · greenAbstract read
In one paragraph

Article in British journal of haematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 35% of its field
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 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

9 authors at 5 institutions in 1 country.

Geoffrey FellDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Ashley E RoskoDivision of Hematology, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0001-5875-3214
Gregory A AbelDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-1100-2813
Clark DumontierNew England Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston, Massachusetts, USA.
Kelly J HigbyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
Anays MurilloDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
Donna S NeubergDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Christin E BurdDepartments of Molecular Genetics; Cancer Biology and Genetics, The Ohio State University, Columbus, Ohio, USA.
Andrew A LaneDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-7380-0226
Harvard University · USDana-Farber Cancer Institute · USBrigham and Women's Hospital · USCancer Genetics (United States) · USThe Ohio State University · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
Trageting the Multiple Myeloma EpigenomeP50CA100707 · NCI · DANA-FARBER CANCER INSTITUTE · PI ANDERSON, KENNETH C., MUNSHI, NIKHIL C. · 2003 to 2023
$45.0M
NCI NIH HHS P30 CA016058NCI NIH HHS P50 CA100707
6 · The paper itself

Abstract

Older patients with cancer often receive treatment regimens based on their age without considering other objective factors that may influence outcomes. Assessment of frailty can identify older patients who are robust and therefore more likely to benefit from intensive treatment, or conversely, frail and might instead be offered alternative approaches. However, such assessment requires specialised training and dedicated clinical resources. Alternative quantitative biomarkers associated with frailty are lacking. Here, we asked if expression signatures of 74 immune cell, ageing, and senescence-related messenger RNAs in purified peripheral blood T cells could identify associations with clinical frailty in patients with haematological malignancies. We studied 69 patients between the ages of 36 and 92 years (median 76 years) with leukaemia, lymphoma, or multiple myeloma, across two institutions. Expression of four genes (aryl hydrocarbon receptor [AHR], CD27, CD28, and interleukin-2 receptor subunit alpha [IL2RA; CD25]) in T cells was associated with frailty, independent of age. An expression-based regression model had 76% sensitivity and 90% specificity to assign a patient as robust. These data identify measurable peripheral blood correlates of clinical frailty and suggest biomarkers for future prospective assessment.

Indexed as

FrailtyHematologic NeoplasmsAdultAgedAged, 80 and overBiomarkersCD28 AntigensFrail ElderlyGene ExpressionHumansMiddle AgedReceptors, Aryl HydrocarbonT-LymphocytesBiomarkersCD28 AntigensReceptors, Aryl Hydrocarbonelderlyfrailtyhaematological malignancies

Identifiers

PMID35766906
PMCPMC10462450
OpenAlexW4283736982

What Socratic holds

Textmetadata
LicenceTDM
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.