Evidence map›Paper›PMID 39001472›Full record

ArticleCancers2024

Serial Changes of Circulating Tumor Cells in Patients with Hepatocellular Carcinoma Treated with Atezolizumab Plus Bevacizumab.

Yosuke Murata, Takuto Nosaka, Yu Akazawa, Tomoko Tanaka, Kazuto Takahashi, Tatsushi Naito, Hidetaka Matsuda, Masahiro Ohtani, Yasunari Nakamoto

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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

9 authors.

Yosuke MurataSecond Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui 910-1193, Japan.
Takuto NosakaSecond Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui 910-1193, Japan.ORCID 0000-0002-1929-7305
Yu AkazawaSecond Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui 910-1193, Japan.
Tomoko TanakaSecond Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui 910-1193, Japan.
Kazuto TakahashiSecond Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui 910-1193, Japan.
Tatsushi NaitoSecond Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui 910-1193, Japan.ORCID 0000-0001-5472-8193
Hidetaka MatsudaSecond Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui 910-1193, Japan.
Masahiro OhtaniSecond Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui 910-1193, Japan.
Yasunari NakamotoSecond Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui 910-1193, Japan.ORCID 0000-0002-3160-3555

Funding

Japan Agency for Medical Research and Development JP23fk0210104Japan Agency for Medical Research and Development JP23fk0210113
6 · The paper itself

Abstract

Immune checkpoint inhibitors have promising outcomes in patients with hepatocellular carcinoma (HCC); however, there is no reliable biomarker for predicting disease progression. Circulating tumor cells (CTCs) derived from peripheral blood have attracted attention in monitoring therapeutic efficacy. In this study, CTCs were serially collected from HCC patients undergoing atezolizumab plus bevacizumab (Atezo+Bev), and changes in molecular expression and CTC numbers were analyzed to identify effective biomarkers. Changes in CTC numbers during Atezo+Bev reflected the tumor volume. Targeted RNA sequencing with next-generation sequencing (NGS) revealed that patients with elevated transforming growth factor (TGF)-β signaling molecules had a poorer response, whereas those with elevated apoptosis signaling molecules had a favorable response. In addition, compared with changes in CTC counts, changes in TGF-β signaling molecule expression in CTCs accurately and promptly predicted treatment response. Overall, NGS analysis of CTC-derived RNA showed that changes in TGF-β signaling molecules predict treatment response earlier than changes in CTC counts. These findings suggest that changes in the expression of TGF-β molecules in CTCs could serve as novel biomarkers for the early prediction of therapeutic response in patients with unresectable HCC undergoing Atezo+Bev.

Indexed as

apoptosis signalingimmune checkpoint inhibitorliquid biopsyRNA sequencingTGF-β signaling

Identifiers

PMID39001472
PMCPMC11240647

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.