Evidence map›Paper›PMID 30680606›Full record

ReviewFrontiers of medicine2019

Monitoring checkpoint inhibitors: predictive biomarkers in immunotherapy.

Min Zhang, Jingwen Yang, Wenjing Hua, Zhong Li, Zenghui Xu, Qijun Qian

Abstract readReview
PubMed Publisher
In one paragraph

Review in Frontiers of medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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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

6 authors.

Min ZhangShangHai Cell Therapy Group Co., Ltd., Shanghai, 201805, China.
Jingwen YangShangHai Cell Therapy Group Co., Ltd., Shanghai, 201805, China.
Wenjing HuaShangHai Cell Therapy Group Co., Ltd., Shanghai, 201805, China.
Zhong LiShangHai Cell Therapy Group Co., Ltd., Shanghai, 201805, China.
Zenghui XuShangHai Cell Therapy Group Co., Ltd., Shanghai, 201805, China. zenghuixu@163.com.
Qijun QianShangHai Cell Therapy Group Co., Ltd., Shanghai, 201805, China. qianqj@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy has become the fourth cancer therapy after surgery, chemotherapy, and radiotherapy. In particular, immune checkpoint inhibitors are proved to be unprecedentedly in increasing the overall survival rates of patients with refractory cancers, such as advanced melanoma, non-small cell lung cancer, and renal cell carcinoma. However, inhibitor therapies are only effective in a small proportion of patients with problems, such as side effects and high costs. Therefore, doctors urgently need reliable predictive biomarkers for checkpoint inhibitor therapies to choose the optimal therapies. Here, we review the biomarkers that can serve as potential predictors of the outcomes of immune checkpoint inhibitor treatment, including tumor-specific profiles and tumor microenvironment evaluation and other factors.

Indexed as

ImmunotherapyTumor MicroenvironmentAutoantibodiesBiomarkers, TumorHumansNeoplasmsAutoantibodiesBiomarkers, Tumorcompanion diagnosisimmune checkpointimmune scorePD-L1tumor mutation burden

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.