Evidence map›Paper›PMID 20693848›Full record

ReviewCancer journal (Sudbury, Mass.)

Interface of signal transduction inhibition and immunotherapy in melanoma.

Amber L Shada, Kerrington R Molhoek, Craig L Slingluff

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Clinical translation of immunomodulatory therapeutics.Advanced drug delivery reviews · 2021
    Review
  3. 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

3 authors at 2 institutions in 1 country.

Amber L ShadaDepartment of Surgery, Division of Surgical Oncology, University of Virginia School of Medicine, Charlottesville, VA 22908-0709, USA.
Kerrington R Molhoek
Craig L Slingluff
University of Virginia Cancer CenterAmerican Cancer Society · US

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Thomas P. Loughran · 1987 to 2026
$72.1M
MELANOMA VACCINES USING MHC-ASSOCIATED PEPTIDESR01CA057653 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI SLINGLUFF, CRAIG LEE · 1997 to 2012
$3.4M
NCI NIH HHS P30 CA044579NCI NIH HHS P30 CA44579NCI NIH HHS P30CA44579NCI NIH HHS R01 CA057653NCI NIH HHS R01 CA57653
6 · The paper itself

Abstract

Food and Drug Administration-approved treatment for metastatic melanoma, including interferon alpha and interleukin-2, offer a modest benefit. Immunotherapy, although has not enjoyed high overall response rates, is capable of providing durable responses in a subset of patients. In recent years, new molecular-targeted therapies have become available and offer promise of clinical benefit, although low durability of response. It is not yet clear how best to integrate these 2 novel modalities that target the immune response to melanoma (immune therapy) or that target molecular signaling pathways in the melanoma cells (targeted therapy). Many signal transduction pathways are important in both tumor cell and T-cell proliferation and survival, which generate risk in combining targeted therapy and immunotherapy. This review focuses on the role of targeted therapy and immunotherapy in melanoma, and discusses how to combine the 2 modalities rationally for increased duration and response.

Indexed as

AnimalsCancer VaccinesCombined Modality TherapyHumansImmunotherapyMelanomaMolecular Targeted TherapySignal TransductionCancer Vaccines

Identifiers

PMID20693848
PMCPMC3229867
OpenAlexW1982615069

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.