Evidence map›Paper›PMID 37930513›Full record

SynthesisTargeted oncology2023

Systematic Literature Review of the Prevalence and Prognostic Value of Delta-Like Ligand 3 Protein Expression in Small Cell Lung Cancer.

Lauren C Bylsma, Xerxes Pundole, Chia-Hsin Ju, Naushin Hooda, Naimisha Movva, Ehab Elkhouly, Gwyn Bebb, Jon Fryzek, Pablo Martinez, Akhila Balasubramanian and 1 more

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Targeted oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. New developments in immunotherapy for SCLC.Journal for immunotherapy of cancer · 2025
    Review
  4. Review
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 3 institutions in 2 countries.

Lauren C BylsmaEpidStrategies, A Division of ToxStrategies, LLC, Mission Viejo, CA, USA. lbylsma@epidstrategies.com.ORCID 0000-0002-3091-6090
Xerxes PundoleAmgen Inc., Thousand Oaks, CA, USA.
Chia-Hsin JuAmgen Inc., Thousand Oaks, CA, USA.
Naushin HoodaEpidStrategies, A Division of ToxStrategies, LLC, Mission Viejo, CA, USA.
Naimisha MovvaEpidStrategies, A Division of ToxStrategies, LLC, Mission Viejo, CA, USA.
Ehab ElkhoulyAmgen Inc., Thousand Oaks, CA, USA.
Gwyn BebbAmgen Inc., Thousand Oaks, CA, USA.
Jon FryzekEpidStrategies, A Division of ToxStrategies, LLC, Mission Viejo, CA, USA.
Pablo MartinezAmgen Inc., Thousand Oaks, CA, USA.
Akhila BalasubramanianAmgen Inc., Thousand Oaks, CA, USA.
Anne-Marie C DingemansErasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
Amgen (United States) · USBioStrategies (United States) · USErasmus MC Cancer Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelta-like ligand 3 (DLL3), a member of the Notch pathway, has been identified as a potential therapeutic target as it is highly expressed in small cell lung cancer (SCLC), a subtype accounting for 15% of lung cancer cases.

objectiveA systematic literature review (SLR) was conducted to understand the prevalence and prognostic impact of DLL3 expression on survival of patients with SCLC and treatment response. PATIENTS AND

methodsSystematic literature searches were conducted across multiple databases to capture studies of any SCLC population that evaluated DLL3 expression. Specific outcomes of interest included prevalence of DLL3 expression, method of expression analysis, and impact on outcome, including treatment response and survival (overall, progression-free, disease-free) according to varying levels of DLL3 expression/positivity. Standard risk of bias tools were used to evaluate study quality.

resultsAmong the 30 included studies, the most common DLL3 testing method was immunohistochemistry (N = 26, 86.7%). For comparability, results focused on the 13 (22.3%) studies that used the Ventana DLL3 (SP347) immunohistochemistry assay. The prevalence of DLL3 positivity ranged from 80.0-93.5% for studies using a threshold of ≥ 1% of tumor cells (N = 4) and 58.3-91.1% for studies with a ≥ 25% threshold (N = 4). DLL3 expression was generally categorized as high using cutoffs of ≥ 50% (prevalence range: 45.8-79.5%; N = 6) or ≥ 75% (prevalence range: 47.3-75.6%; N = 5) of cells with positivity. Two studies used an H-score of ≥ 150 to define high DLL3 expression with prevalence ranging from 33.3-53.1%. No consistent associations were seen between DLL3 expression level and patient age, sex, smoking history, or disease stage. Two studies reported change in DLL3 expression category (high versus low) before and after chemotherapy. No statistically significant differences were reported between DLL3 expression groups and survival (overall, progression-free, or disease-free) or treatment response.

conclusionsThere is a high prevalence of DLL3 expression in SCLC. Further research and analytical methods may help to characterize different populations of patients with SCLC based on DLL3 expression. While no significant prognostic factor in the included studies was identified, additional cohort studies using standardized methodology, with longer follow-up, are needed to better characterize any potential differences in patient survival or response by DLL3 expression level in SCLC.

Indexed as

Lung NeoplasmsSmall Cell Lung CarcinomaHumansIntracellular Signaling Peptides and ProteinsLigandsMembrane ProteinsPrevalencePrognosisDLL3 protein, humanIntracellular Signaling Peptides and ProteinsLigandsMembrane Proteins

Identifiers

PMID37930513
PMCPMC10663197
OpenAlexW4388411860

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.