Evidence map›Paper›PMID 25409618›Full record

ReviewTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

Checkpoint inhibitors in immunotherapy of ovarian cancer.

Dong-hui Wang, Liang Guo, Xiao-hua Wu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  4. IL-10 Signaling in the Tumor Microenvironment of Ovarian Cancer.Advances in experimental medicine and biology · 2021
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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

3 authors at 2 institutions in 1 country.

Dong-hui WangFirst Department of Gynecology, Cangzhou Central Hospital, Cangzhou, 061001, Hebei, China, czwangdonghui@hotmail.com.
Liang Guo
Xiao-hua Wu
Cangzhou Central Hospital · CNBethune International Peace Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of ovarian cancer is a major challenge in oncology as mortality from ovarian cancer remains very high. The immune system plays a critical role in controlling cancer through a dynamic relationship with cancer cells. Immunotherapy can establish a sustained immune system response against recurring cancer cells leading to long-term remissions for ovarian cancer patient. The use of immune checkpoint inhibitors, which work by targeting molecules that serve as checks and balances in the regulation of immune responses, might be a promising avenue of immunotherapeutic research in ovarian cancer. In this review, we have focused on the potential of certain immune checkpoint inhibitors, such as anti-cytotoxic T lymphocyte antigens, anti-programmed death agents, and anti-program death ligands against ovarian cancer, with their mechanism of actions. Also, the problems arising due to checkpoint inhibitor immunotherapy have been discussed in this review. Checkpoint inhibitor immunotherapy is still in early-phase testing for ovarian cancer. Understanding the pivotal role of the tumor microenvironment in suppressing anticancer immunity, the unique adverse effects profiles of these agents, and the exploration of combinatorial treatment regimens will ultimately lead to enhance the efficacy of ovarian cancer immunotherapies and improved patient care.

Indexed as

AnimalsAntineoplastic AgentsApoptosisCell Cycle CheckpointsFemaleHumansImmunologic FactorsImmunotherapyOvarian NeoplasmsT-Lymphocytes, CytotoxicAntineoplastic AgentsImmunologic Factors

Identifiers

PMID25409618
OpenAlexW2037002874

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.