Evidence map›Paper›PMID 35301276›Full record

ArticleBlood cancer journal2022

Proteomic profiling based classification of CLL provides prognostication for modern therapy and identifies novel therapeutic targets.

Ti'ara L Griffen, Fieke W Hoff, Yihua Qiu, James W Lillard, Alessandra Ferrajoli, Philip Thompson, Endurance Toro, Kevin Ruiz, Jan Burger, William Wierda and 1 more

Abstract read
In one paragraph

Article in Blood cancer journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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.

Ti'ara L GriffenDepartment of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA, USA.ORCID 0000-0002-4227-3870
Fieke W HoffDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Yihua QiuDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
James W LillardDepartment of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA, USA.
Alessandra FerrajoliDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Philip ThompsonDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-2086-6031
Endurance ToroDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Kevin RuizDepartment of Medicine, University of Central Florida College of Medicine, Orlando, FL, USA.
Jan BurgerDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-6177-7572
William WierdaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-7357-270X
Steven M KornblauDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. skornblau@mdanderson.org.ORCID 0000-0002-5990-9548

Funding

Research Training & Career Development ProgramU54CA118638 · NCI · MOREHOUSE SCHOOL OF MEDICINE · PI Shailesh Singh · 2005 to 2026
$22.7M
TISSUE CULTURE MODEL FOR RETINITIS PIGMENTOSA--A MOLECULAR APPROACHR25GM058268 · NIGMS · MOREHOUSE SCHOOL OF MEDICINE · PI HARRIS-HOOKER, SANDRA, STILES, JONATHAN K. · 1998 to 2023
$16.5M
CANCER PREVENTION EDUCAT--STUDENT RESEARCH EXPERIENCESR25CA056452 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Shine Chang · 1992 to 2026
$6.9M
NCI NIH HHS R25 CA056452NCI NIH HHS U54 CA118638NIGMS NIH HHS R25 GM058268
6 · The paper itself

Abstract

Protein expression for 384 total and post-translationally modified proteins was assessed in 871 CLL and MSBL patients and was integrated with clinical data to identify strategies for improving diagnostics and therapy, making this the largest CLL proteomics study to date. Proteomics identified six recurrent signatures that were highly prognostic of survival and time to first or second treatment at three levels: individual proteins, when grouped into 40 functionally related groups (PFGs), and systemically in signatures (SGs). A novel SG characterized by hairy cell leukemia like proteomics but poor therapy response was discovered. SG membership superseded other prognostic factors (Rai Staging, IGHV Status) and were prognostic for response to modern (BTK inhibition) and older CLL therapies. SGs and PFGs membership provided novel drug targets and defined optimal candidates for Watch and Wait vs. early intervention. Collectively proteomics demonstrates promise for improving classification, therapeutic strategy selection, and identifying novel therapeutic targets.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellHumansMutationPrognosisProteomics

Identifiers

PMID35301276
PMCPMC8931092

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.