Evidence map›Paper›PMID 28755313›Full record

ReviewCurrent oncology reports2017

Targeting B Cell Signaling in Chronic Lymphocytic Leukemia.

Jon E Arnason, Jennifer R Brown

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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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

2 authors at 1 institution in 1 country.

Jon E ArnasonBeth Israel Deaconess Medical Center, Harvard Medical School, BIDMC, 330 Brookline Ave, Boston, MA, 02215, USA. jarnason@bidmc.harvard.edu.
Jennifer R BrownDana Farber Cancer Institute, Harvard Medical School, 450 Brookline Ave, Boston, MA, 02215, USA.
Harvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, a revolution in the management of chronic lymphocytic leukemia (CLL) has centered on the targeting of the B cell receptor (BCR) signaling pathway. Our improved understanding of the biology of cell signaling in CLL and the development of oral kinase inhibitors directed at the BCR pathway has led to the approval of two new agents and has the potential to radically change the treatment of CLL in both the relapsed/refractory and upfront settings. In this review, we will describe the underlying biology of the BCR signaling pathway. We will discuss the landmark clinical trials resulting in the approval of the Bruton tyrosine kinase (BTK) inhibitor ibrutinib and the PI3Kδ inhibitor idelalisib. We will highlight ongoing trials that are evaluating the use of combinations of these agents with standard chemotherapy. We will evaluate some of the emerging data regarding toxicity, potential off-target effects, and mechanisms of resistance to BCR signaling pathway blockade. Finally, we will highlight some of the next-generation BCR pathway inhibitors currently in development.

Indexed as

AnimalsAntineoplastic AgentsB-LymphocytesClinical Trials as TopicHumansLeukemia, Lymphocytic, Chronic, B-CellProtein Kinase InhibitorsProtein-Tyrosine KinasesReceptors, Antigen, B-CellSignal TransductionAntineoplastic AgentsProtein Kinase InhibitorsProtein-Tyrosine KinasesReceptors, Antigen, B-CellB cell receptorChronic lymphocytic lymphomaIbrutinibIdelalisib

Identifiers

PMID28755313
OpenAlexW2740766460

What OpenQuestion holds

Textmetadata
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.