Evidence map›Paper›PMID 34950184›Full record

ArticleLiver cancer2021

Higher Enhancement Intrahepatic Nodules on the Hepatobiliary Phase of Gd-EOB-DTPA-Enhanced MRI as a Poor Responsive Marker of Anti-PD-1/PD-L1 Monotherapy for Unresectable Hepatocellular Carcinoma.

Tomoko Aoki, Naoshi Nishida, Kazuomi Ueshima, Masahiro Morita, Hirokazu Chishina, Masahiro Takita, Satoru Hagiwara, Hiroshi Ida, Yasunori Minami, Akira Yamada and 3 more

Open access · goldAbstract read
In one paragraph

Article in Liver cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.2field-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

44 citing papers in PubMed, 62 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

13 authors at 3 institutions in 1 country.

Tomoko AokiDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Naoshi NishidaDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Kazuomi UeshimaDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Masahiro MoritaDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Hirokazu ChishinaDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Masahiro TakitaDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Satoru HagiwaraDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Hiroshi IdaDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Yasunori MinamiDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Akira YamadaDepartment of Radiology, Shinshu University School of Medicine, Nagano, Japan.
Keitaro SofueDepartment of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan.
Masakatsu TsurusakiDepartment of Radiology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Masatoshi KudoDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Kindai University · JPKobe University · JPShinshu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionImmune checkpoint inhibitors (ICIs) are promising agents for the treatment of hepatocellular carcinoma (HCC). However, the establishment of noninvasive measure that could predict the response to ICIs is challenging. This study aimed to evaluate tumor responses to ICIs using the hepatobiliary phase of gadolinium-ethoxybenzyl-diethylenetriamine (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI), which was shown to reflect Wnt/β-catenin activating mutation.

methodsA total of 68 intrahepatic HCC nodules from 18 patients with unresectable HCC and Child-Pugh class A liver function who received anti-programmed cell death 1 (PD-1)/programmed death-ligand 1 (PD-L1) monotherapy were enrolled in this study. All patients had viable intrahepatic lesions evaluable using the hepatobiliary phase of Gd-EOB-DTPA-enhanced MRI within the 6 months prior to the treatment. The relative enhancement ratio was calculated, and the time to nodular progression (TTnP) defined as 20% or more increase in each nodule was compared between higher or hypo-enhancement HCC nodules. Then, the progression-free survival (PFS) and objective response rate (ORR) per Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST v1.1) were compared between patients with and without HCC nodules with higher enhancement on hepatobiliary phase images.

resultsThe median PFS was 2.7 (95% confidence interval [CI]: 1.4-4.0) months in patients with HCC nodules with higher enhancement (

conclusionThe TTnP on HCC nodules with higher enhancement and the median PFS in patients who carried higher enhancement intrahepatic HCC nodules were significantly shorter than those in hypointense HCC nodules with anti-PD-1/PD-L1 monotherapy. The intensity of the nodule on the hepatobiliary phase of Gd-EOB-DTPA-enhanced MRI is a promising imaging biomarker for predicting unfavorable response with anti-PD-1/PD-L1 monotherapy in patients with HCC.

Indexed as

Anti-programmed cell death protein 1Gadolinium-ethoxybenzyl-diethylenetriamine-enhanced magnetic resonance imagingHepatocellular carcinomaImaging biomarkerProgrammed death-ligand 1 antibodyWnt/β-catenin

Identifiers

PMID34950184
PMCPMC8647075
OpenAlexW3194345266

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.