Evidence map›Paper›PMID 33216822›Full record

ReviewOncotarget2020

Biomarkers and novel therapeutic approaches for diffuse large B-cell lymphoma in the era of precision medicine.

Niraj Lodhi, Moe Tun, Poonam Nagpal, Arati A Inamdar, Nehad M Ayoub, Noor Siyam, Lucia Oton-Gonzalez, Angela Gerona, Dainelle Morris, Rana Sandhu and 1 more

Open access · diamondAbstract readReview
In one paragraph

Review in Oncotarget, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

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  13. Overexpression ofOncoTargets and therapy · 2022
    Article
  14. Review
  15. Article
  16. LAG3 and PD1 Regulate CD8+ T Cell in Diffuse Large B-cell Lymphoma Patients.Computational and mathematical methods in medicine · 2021
    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

11 authors at 4 institutions in 3 countries.

Niraj LodhiDepartment of Immunotherapeutic and Biotechnology, Texas Tech Health Science Center, Abilene, TX, USA.
Moe TunFormerly: The Genomics and Biomarkers Program, John Theurer Cancer Center at Hackensack University Medical Center, David Jurist Research Building, Hackensack, NJ, USA.
Poonam NagpalFormerly: The Genomics and Biomarkers Program, John Theurer Cancer Center at Hackensack University Medical Center, David Jurist Research Building, Hackensack, NJ, USA.
Arati A InamdarFormerly: The Genomics and Biomarkers Program, John Theurer Cancer Center at Hackensack University Medical Center, David Jurist Research Building, Hackensack, NJ, USA.
Nehad M AyoubDepartment of Clinical Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
Noor SiyamFormerly: The Genomics and Biomarkers Program, John Theurer Cancer Center at Hackensack University Medical Center, David Jurist Research Building, Hackensack, NJ, USA.
Lucia Oton-GonzalezDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy.
Angela GeronaFormerly: The Genomics and Biomarkers Program, John Theurer Cancer Center at Hackensack University Medical Center, David Jurist Research Building, Hackensack, NJ, USA.
Dainelle MorrisFormerly: The Genomics and Biomarkers Program, John Theurer Cancer Center at Hackensack University Medical Center, David Jurist Research Building, Hackensack, NJ, USA.
Rana SandhuFormerly: The Genomics and Biomarkers Program, John Theurer Cancer Center at Hackensack University Medical Center, David Jurist Research Building, Hackensack, NJ, USA.
Kwangsun Stephen SuhFormerly: The Genomics and Biomarkers Program, John Theurer Cancer Center at Hackensack University Medical Center, David Jurist Research Building, Hackensack, NJ, USA.
Hackensack University Medical Center · USJordan University of Science and Technology · JOTexas Tech University Health Sciences Center · USUniversity of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the great efforts for better treatment options for diffuse large B-cell lymphoma (DLBCL) (most common form of non-Hodgkin lymphoma, NHL) to treat and prevent relapse, it continues to be a challenge. Here, we present an overview of DLBCL and address the diagnostic assays and molecular techniques used in its diagnosis, role of biomarkers in detection, treatment of early and advanced stage DLBCL, and novel drug regimens. We discuss the significant biomarkers that have emerged as essential tools for stratifying patients according to risk factors and for providing insights into the use of more targeted and individualized therapeutics. We discuss techniques such as gene expression studies, including next-generation sequencing, which have enabled a more understanding of the complex pathogenesis of DLBCL and have helped determine molecular targets for novel therapeutic agents. We examine current treatment approaches, outline the findings of completed clinical trials, and provide updates for ongoing clinical trials. We highlight clinical trials relevant to the significant fraction of DLBCL patients who present with complex cases marked by high relapse rates. Supported by an increased understanding of targetable pathways in DLBCL, clinical trials involving specialized combination therapies are bringing us within reach the promise of an effective cure to DLBCL using precision medicine. Optimization of therapy remains a crucial objective, with the end goal being a balance between high survival rates through targeted and personalized treatment while reducing adverse effects in DLBCL patients of all subsets.

Indexed as

diagnosisDLBCLprecision medicineprognosisR-CHOP

Identifiers

PMID33216822
PMCPMC7646825
OpenAlexW3097727902

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.