Evidence map›Paper›PMID 35261893›Full record

ArticleTranslational cancer research2022

Predictive role of the monocyte-to-lymphocyte ratio in advanced hepatocellular carcinoma patients receiving anti-PD-1 therapy.

Zhen-Feng Zhu, Li-Ping Zhuang, Chen-Yue Zhang, Zhou-Yu Ning, Dan Wang, Jie Sheng, Yong-Qiang Hua, Jing Xie, Li-Tao Xu, Zhi-Qiang Meng

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
1.0field-weighted citation impact, top 21% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Zhen-Feng Zhu *Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Li-Ping Zhuang *Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Chen-Yue ZhangDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhou-Yu NingDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Dan WangDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Jie ShengDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yong-Qiang HuaDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Jing XieDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Li-Tao XuDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhi-Qiang MengDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The immune checkpoint inhibitor (ICIs) therapy has been proven effective in a range of solid tumors including hepatocellular carcinoma (HCC), non-small cell lung carcinoma and metastatic melanoma. However, only a subset of approximately 20% of patients shows an objective response to anti-PD-1 therapy in HCC. Furthermore, the response to anti-PD-1 therapy is not correlated with programmed cell death 1 ligand expression in tumor tissue. Therefore, it is urgent to identify a biomarker to predict the response of anti-PD-1 therapy. Methods: This retrospective study was conducted at the Fudan University Shanghai Cancer Center from December 2019 to June 2021. The monocyte-to-lymphocyte ratio (MLR) was analyzed using a receiver operating characteristic (ROC) curve. A Cox regression model and the log-rank test were used to analyze the relationship between the MLR value and the time to progression (TTP). Results: A total of 34 advanced HCC patients were enrolled in this study. The cut-off point for the MLR at baseline was 0.35. Univariate and multivariate Cox regression models showed that the MLR at baseline was significantly correlated with the TTP (P<0.05). Consistent results were found for disease progression. The log-rank test showed that patients in the low MLR group had a longer TTP (P=0.0027). At the time of disease progression, the median TTP in the low and high MLR groups were 33 and 18 weeks, respectively (P=0.0047). Conclusions: The MLR can predict the response to anti-PD-1 therapy, and a high MLR is correlated with a short TTP in anti-PD-1-treated HCC patients.

Indexed as

anti-PD-1 therapyHepatocellular carcinoma (HCC)monocyte-to-lymphocyte ratio (MLR)prognosis

Identifiers

PMID35261893
PMCPMC8841669
OpenAlexW4205409456

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.