Evidence map›Paper›PMID 35674872›Full record

ArticleHepatology international2022

Preoperative serum ctDNA predicts early hepatocellular carcinoma recurrence and response to systemic therapies.

Yizhen Fu, Zhenyun Yang, Zili Hu, Zhoutian Yang, Yangxun Pan, Jinbin Chen, Juncheng Wang, Dandan Hu, Zhongguo Zhou, Li Xu and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Hepatology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 31 citations in OpenAlex.

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  19. Is Cell-Free DNA Testing in Hepatocellular Carcinoma Ready for Prime Time?International journal of molecular sciences · 2023
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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

12 authors at 2 institutions in 1 country.

Yizhen FuState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, People's Republic of China.
Zhenyun YangState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, People's Republic of China.
Zili HuState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, People's Republic of China.
Zhoutian YangState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, People's Republic of China.
Yangxun PanState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, People's Republic of China.
Jinbin ChenState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, People's Republic of China.
Juncheng WangState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, People's Republic of China.
Dandan HuState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, People's Republic of China.
Zhongguo ZhouState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, People's Republic of China.
Li XuState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, People's Republic of China.
Minshan ChenState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, People's Republic of China. chenmsh@sysucc.org.cn.
Yaojun ZhangState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, People's Republic of China. zhangyuj@sysucc.org.cn.
Sun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

National Natural Science Foundation of China 81874070
6 · The paper itself

Abstract

backgroundCirculating tumor DNA (ctDNA) can be useful in tumor diagnosis and surveillance. However, its value in hepatocellular carcinoma (HCC) patients receiving curative resection remains unknown. Here, we aim to determine the prognostic value of ctDNA in HCC patients.

methodsA prospective cohort enrolled 258 HCC patients who underwent curative liver resection from April 1, 2019, to September 31, 2020. Blood samples were collected before surgery for the detection of ctDNA.

resultsThe number of total mutant genes in ctDNA was associated with early tumor relapse (HR = 2.2, p < 0.001). We defined a gene set consisting of APC, ARID1A, CDKN2A, FAT1, LRP1B, MAP3K1, PREX2, TERT and TP53 as high-risk genes (HRGs) associated with early recurrence. Patients were classified into low-, median- and high-risk levels based on the number of mutant genes in the HRGs. High-risk patients had worse recurrence free survival, especially single-tumor patients (HR = 13.0, p < 0.001). The risk level and TNM stage were independently associated with tumor recurrence. A preoperative recurrence estimation nomogram based on those two factors was constructed and demonstrated good accuracy with a C index of 0.76 (95% CI 0.70-0.82). Patients preserved FAT1 or LRP1B variants but without TP53 variants had worse progression free survival for receiving lenvatinib combined with immune checkpoint inhibitors after recurrence (HR = 17.1, p < 0.001). Furthermore, RNA sequencing data revealed that ctDNA status was associated with tumor immune infiltration.

conclusionPreoperative serum ctDNA can be a practical noninvasive approach to predict recurrence after surgery and response to systemic therapies. ctDNA-guided HCC management should be recommended.

Indexed as

Carcinoma, HepatocellularCirculating Tumor DNALiver NeoplasmsBiomarkers, TumorHumansNeoplasm Recurrence, LocalPrognosisProspective StudiesBiomarkers, TumorCirculating Tumor DNAcfDNActDNAHepatocellular carcinomaImmune infiltrationImmune therapyLenvatinibNomogramPrognosisRecurrenceSurgery

Identifiers

PMID35674872
OpenAlexW4282929184

What OpenQuestion holds

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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.