Evidence map›Paper›PMID 37108802›Full record

ReviewInternational journal of molecular sciences2023

Predictive Biomarkers for Immune-Checkpoint Inhibitor Treatment Response in Patients with Hepatocellular Carcinoma.

Jun Ho Ji, Sang Yun Ha, Danbi Lee, Kamya Sankar, Ekaterina K Koltsova, Ghassan K Abou-Alfa, Ju Dong Yang

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. 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
6.9field-weighted citation impact, top 3% 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, 30 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

7 authors at 3 institutions in 2 countries.

Jun Ho JiDivision of Hematology and Oncology, Department of Internal Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon 51353, Republic of Korea.
Sang Yun HaKarsh Division of Gastroenterology and Hepatology, Comprehensive Transplant Center, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0002-7346-6974
Danbi LeeKarsh Division of Gastroenterology and Hepatology, Comprehensive Transplant Center, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Kamya SankarDivision of Medical Oncology, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Ekaterina K KoltsovaDepartment of Medicine, Samuel Oschin Comprehensive Cancer Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Ghassan K Abou-AlfaMemorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Ju Dong YangKarsh Division of Gastroenterology and Hepatology, Comprehensive Transplant Center, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Cedars-Sinai Medical Center · USMemorial Sloan Kettering Cancer Center · USUlsan College · KR

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
IL-27R signaling as a negative regulator of innate and adaptive anti-cancer immunity in hepatocellular carcinomaR01CA273925 · NCI · CEDARS-SINAI MEDICAL CENTER · PI KOLTSOVA, EKATERINA · 2022 to 2025
$3.3M
Cytokine mediated regulation of stress myelopoiesis in abdominal aortic aneurysmR01HL149946 · NHLBI · RESEARCH INST OF FOX CHASE CAN CTR · PI KOLTSOVA, EKATERINA · 2020 to 2023
$2.1M
Novel circulating biomarker digital scores for assessing treatment response in liver cancerK08CA259534 · NCI · CEDARS-SINAI MEDICAL CENTER · PI YANG, JU DONG · 2022 to 2024
$807k
NCI NIH HHS K08 CA259534NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA273925NHLBI NIH HHS R01 HL149946
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) has one of the highest mortality rates among solid cancers. Late diagnosis and a lack of efficacious treatment options contribute to the dismal prognosis of HCC. Immune checkpoint inhibitor (ICI)-based immunotherapy has presented a new milestone in the treatment of cancer. Immunotherapy has yielded remarkable treatment responses in a range of cancer types including HCC. Based on the therapeutic effect of ICI alone (programmed cell death (PD)-1/programmed death-ligand1 (PD-L)1 antibody), investigators have developed combined ICI therapies including ICI + ICI, ICI + tyrosine kinase inhibitor (TKI), and ICI + locoregional treatment or novel immunotherapy. Although these regimens have demonstrated increasing treatment efficacy with the addition of novel drugs, the development of biomarkers to predict toxicity and treatment response in patients receiving ICI is in urgent need. PD-L1 expression in tumor cells received the most attention in early studies among various predictive biomarkers. However, PD-L1 expression alone has limited utility as a predictive biomarker in HCC. Accordingly, subsequent studies have evaluated the utility of tumor mutational burden (TMB), gene signatures, and multiplex immunohistochemistry (IHC) as predictive biomarkers. In this review, we aim to discuss the current state of immunotherapy for HCC, the results of the predictive biomarker studies, and future direction.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsB7-H1 AntigenBiomarkersBiomarkers, TumorHumansImmune Checkpoint InhibitorsImmunotherapyB7-H1 AntigenBiomarkersBiomarkers, TumorImmune Checkpoint InhibitorsBiomarkerHepatocellular carcinomaImmune checkpoint inhibitor

Identifiers

PMID37108802
PMCPMC10144688
OpenAlexW4366771054

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.