Evidence map›Paper›PMID 32708748›Full record

ReviewInternational journal of molecular sciences2020

The Latest Findings of PD-1/PD-L1 Inhibitor Application in Gynecologic Cancers.

Omid Kooshkaki, Afshin Derakhshani, Hossein Safarpour, Souzan Najafi, Parviz Vahedi, Oronzo Brunetti, Mitra Torabi, Parisa Lotfinejad, Angelo Virgilio Paradiso, Vito Racanelli and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  16. Cross-Talk Between mFrontiers in immunology · 2022
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  20. Application of phototherapeutic-based nanoparticles in colorectal cancer.International journal of biological sciences · 2021
    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

12 authors at 5 institutions in 2 countries.

Omid KooshkakiStudent Research Committee, Birjand University of Medical Sciences, Birjand 9717853577, Iran.ORCID 0000-0002-0398-6587
Afshin DerakhshaniImmunology Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.ORCID 0000-0002-3243-233X
Hossein SafarpourCellular & Molecular Research Center, Birjand University of Medical Sciences, Birjand 9717853577, Iran.ORCID 0000-0001-9883-9186
Souzan NajafiImmunology Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.
Parviz VahediDepartment of Anatomical Sciences, Maragheh University of Medical Sciences, Maragheh 5165665931, Iran.
Oronzo BrunettiMedical Oncology Unit, IRCCS Istituto Tumori "Giovanni Paolo II" of Bari, 70124 Bari, Italy.ORCID 0000-0002-7014-6828
Mitra TorabiStudent Research Committee, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.
Parisa LotfinejadImmunology Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.ORCID 0000-0001-6142-9036
Angelo Virgilio ParadisoInstitutional BioBank, Experimental Oncology and Biobank Management Unit, IRCCS Istituto Tumori Giovanni Paolo II, 70124 Bari, Italy.ORCID 0000-0001-6495-2295
Vito RacanelliDepartment of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", 70121 Bari, Italy.ORCID 0000-0002-8639-1940
Nicola SilvestrisMedical Oncology Unit, IRCCS Istituto Tumori "Giovanni Paolo II" of Bari, 70124 Bari, Italy.ORCID 0000-0001-7814-7318
Behzad BaradaranImmunology Research Center, Tabriz University of Medical Sciences, Tabriz 5165665811, Iran.ORCID 0000-0002-8642-6795
Tabriz University of Medical Sciences · IRIstituto Tumori Bari · ITBirjand University of Medical Sciences · IRUniversity of Bari Aldo Moro · ITUniversity of Maragheh · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gynecologic cancers account for approximately 11% of the newly diagnosed cancers in women in the United States and for 18% globally. The presence of tumor-infiltrating lymphocytes (TILs) influences the clinical outcome of cancer patients and immune checkpoint inhibitors (ICIs), including anti programmed cell death protein-1 (anti-PD-1), anti-programmed death-ligand 1 (anti-PD-L1), and anticytotoxic T-lymphocyte antigen 4 (anti-CTLA-4), which have been approved for treating different types of malignancies. Antibodies targeting the PD-1/PD-L1 checkpoint have shown dynamic and durable tumor regressions, suggesting a rebalancing of the host-tumor interaction. There are several the US food and drug administration (FDA)-approved ICIs targeting PD-1, including pembrolizumab and nivolumab, as well as those targeting PD-L1, including avelumab, atezolizumab, and durvalumab for melanoma, renal cell cancer, colorectal cancer, head and neck cancer, cervix cancer, urothelial cancer, and lung cancer. Current pre-clinical and clinical studies assessing PD-1/PD-L1 inhibitors in several gynecologic cancers have reported significant antitumor activity. In this review, we investigate pre-clinical and clinical studies that describe the safety and efficacy of anti-PD-1/PD-L1 antibodies, with a particular focus on ongoing clinical trials, analyzing the oncological outcome and adverse effects of ICIs in gynecologic cancers.

Indexed as

AnimalsAntineoplastic Agents, ImmunologicalFemaleGenitalia, FemaleGenital Neoplasms, FemaleHumansImmune Checkpoint InhibitorsAntineoplastic Agents, ImmunologicalImmune Checkpoint Inhibitorsgynecologic cancersimmune checkpoint inhibitorsPD-1 inhibitorsPD-L1 inhibitors

Identifiers

PMID32708748
PMCPMC7404077
OpenAlexW3043451120

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.