Evidence map›Paper›PMID 23708072›Full record

ReviewCancer journal (Sudbury, Mass.)

Locally advanced lung cancer: an optimal setting for vaccines and other immunotherapies.

Puneeth Iyengar, David E Gerber

Abstract readReview
In one paragraph

Review in Cancer journal (Sudbury, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
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  10. Article
  11. Immunotherapy for lung cancer: advances and prospects.American journal of clinical and experimental immunology · 2016
    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

2 authors at 1 institution in 1 country.

Puneeth IyengarDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
David E Gerber
The University of Texas Southwestern Medical Center · US

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Sandi Leigh Pruitt · 2010 to 2026
$53.7M
Southwestern Clinical Science Scholars Program (RMI)K12RR023251 · NCRR · UT SOUTHWESTERN MEDICAL CENTER · PI PACKER, MILTON · 2005 to 2007
$3.5M
NCI NIH HHS 1P30 CA142543-01NCI NIH HHS P30 CA142543NCRR NIH HHS K12 RR023251
6 · The paper itself

Abstract

Lung cancer has traditionally been considered relatively resistant to immunotherapies. However, recent advances in the understanding of tumor-associated antigens, anti-tumor immune responses, and tumor immunosuppression mechanisms have resulted in a number of promising immunomodulatory therapies such as vaccines and checkpoint inhibitors. Locally advanced non-small cell lung cancer is an optimal setting for these treatments because standard therapies such as surgery, radiation, and chemotherapy may enhance anti-tumor immune effects by debulking the tumor, increasing tumor antigen presentation, and promoting T-cell response and trafficking. Clinical trials incorporating immunomodulatory agents into combined modality therapy of locally advanced non-small cell lung cancer have shown promising results. Future challenges include identifying biomarkers to predict those patients most likely to benefit from this approach, radiographic assessment of treatment effects, the timing and dosing of combined modality treatment including immunotherapies, and avoidance of potentially overlapping toxicities.

Indexed as

Cancer VaccinesAnimalsCarcinoma, Non-Small-Cell LungClinical Trials as TopicCombined Modality TherapyHumansImmunotherapyLung NeoplasmsTumor EscapeCancer Vaccines

Identifiers

PMID23708072
PMCPMC3689291
OpenAlexW2330960787

What OpenQuestion 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 OpenQuestion graph.