Evidence map›Paper›PMID 38041022›Full record

ArticleBMC cancer2023

Hepatocellular carcinoma immune prognosis score predicts the clinical outcomes of hepatocellular carcinoma patients receiving immune checkpoint inhibitors.

Rujia Zhang, Haoran Zhao, Peng Wang, Zuoming Guo, Chunxun Liu, Zhaowei Qu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

6 authors at 2 institutions in 1 country.

Rujia ZhangDepartment of Operating Room, The Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Haoran ZhaoDepartment of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
Peng WangDepartment of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
Zuoming GuoDepartment of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
Chunxun LiuDepartment of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
Zhaowei QuDepartment of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, Heilongjiang, China. quzhaowei@hrbmu.edu.cn.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

Beijing Medical and Health Foundation YWJKJJHKYJJ-LC19009Beijing Medical Award Foundation YXJL-2022-1350-0312
6 · The paper itself

Abstract

objectiveThe predictive biomarkers of immune checkpoint inhibitors (ICIs) in hepatocellular carcinoma (HCC) still need to be further explored. This study aims to establish a new immune prognosis biomarker to predict the clinical outcomes of hepatocellular carcinoma patients receiving immune checkpoint inhibitors.

methodsThe subjects of this study were 151 HCC patients receiving ICIs at Harbin Medical University Cancer Hospital from January 2018 to December 2021. This study collected a wide range of blood parameters from patients before treatment and used Cox's regression analysis to identify independent prognostic factors in blood parameters, as well as their β coefficient. The hepatocellular carcinoma immune prognosis score (HCIPS) was established through Lasso regression analysis and COX multivariate analysis. The cut-off value of HCIPS was calculated from the receiver operating characteristic (ROC) curve. Finally, the prognostic value of HCIPS was validated through survival analysis, stratified analyses, and nomograms.

resultsHCIPS was composed of albumin (ALB) and thrombin time (TT), with a cut-off value of 0.64. There were 56 patients with HCIPS < 0.64 and 95 patients with HCIPS ≥ 0.64, patients with low HCIPS were significantly related to shorter progression-free survival (PFS) (13.10 months vs. 1.63 months, P < 0.001) and overall survival (OS) (14.83 months vs. 25.43 months, P < 0.001). HCIPS has also been found to be an independent prognostic factor in this study. In addition, the stratified analysis found a significant correlation between low HCIPS and shorter OS in patients with tumor size ≥ 5 cm (P of interaction = 0.032). The C-index and 95% CI of the nomograms for PFS and OS were 0.730 (0.680-0.779) and 0.758 (0.711-0.804), respectively.

conclusionsAs a new score established based on HCC patients receiving ICIs, HCIPS was significantly correlated with clinical outcomes in patients with ICIs and might serve as a new biomarker to predict HCC patients who cloud benefit from ICIs.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiomarkersHumansImmune Checkpoint InhibitorsPrognosisBiomarkersImmune Checkpoint InhibitorsClinical outcomesHepatocellular carcinomaImmune checkpoint inhibitorsNon-invasive biomarkersPrognosis score

Identifiers

PMID38041022
PMCPMC10693152
OpenAlexW4389223336

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.