Evidence map›Paper›PMID 29704129›Full record

ReviewThe AAPS journal2018

Integrative Pharmacology: Advancing Development of Effective Immunotherapies.

Mohammad Tabrizi, Daping Zhang, Vaishnavi Ganti, Glareh Azadi

Abstract readReview
PubMed Publisher
In one paragraph

Review in The AAPS journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. An Update on Anti-CD137 Antibodies in Immunotherapies for Cancer.International journal of molecular sciences · 2019
    Review
  2. The Modulatory Properties ofFrontiers in pharmacology · 2019
    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

4 authors.

Mohammad TabriziMerck & Co., Inc., Palo Alto, California, USA. Mohammad.tabrizifard@merck.com.
Daping ZhangMerck & Co., Inc., Palo Alto, California, USA.
Vaishnavi GantiMerck & Co., Inc., Palo Alto, California, USA.
Glareh AzadiMerck & Co., Inc., Palo Alto, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the recent advances in cancer immunotherapy, it is now evident that the antigen-specific activation of the patients' immune responses can be utilized for achieving significant therapeutic benefits. Novel molecules have been developed and promising advances have been achieved in cancer therapy. The recent success of cancer immunotherapy clearly reflects the novelty of the approach and importance of this class of therapeutics. Due to the nature of immunotherapy, i.e., harnessing the patient's immune system, it becomes critical to evaluate the important variables that can guide preclinical development, translational strategies, patient selection, and effective clinical dosing paradigms following single and combination therapies. To further boost the durability and efficacy profiles of IO (immuno-oncology) drugs following single agent therapy, novel combination therapies are being sought. Combination strategies have become critical for enhancing the anti-tumor immunity in broader cancer indications. Comprehensive methods are being developed to quantify the synergistic combination effect profiles at various development phases. Further evaluation of the signaling and pathway components can potentially establish a unique "signature" characteristic for specific combination therapies following modulation of various immunomodulatory pathways. In this article, critical topics related to preclinical, translational, and clinical development of IO agents are discussed.

Indexed as

AnimalsAntineoplastic Agents, ImmunologicalCombined Modality TherapyDisease Models, AnimalDrug DevelopmentDrug Evaluation, PreclinicalHumansImmunotherapyIntegrative OncologyNeoplasmsPatient SelectionTranslational Research, BiomedicalTreatment OutcomeAntineoplastic Agents, Immunologicalcancer immunotherapyfirst-in-human doseimmuno-oncology (IO)preclinical developmentsystems pharmacologytumor modeling

Identifiers

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.