Evidence map›Paper›PMID 38012581›Full record

ArticleBMC cancer2023

Prognostic potential of preoperative circulating tumor cells to predict the early progression recurrence in hepatocellular carcinoma patients after hepatectomy.

Zhan Lu, Hanghang Ni, Xihua Yang, Lihao Tan, Haixiao Zhuang, Yunning Mo, Xingyu Wei, Lunan Qi, Bangde Xiang

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 8 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

9 authors at 4 institutions in 2 countries.

Zhan Lu *Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, 71# Hedi Road, Qingxiu District, Nanning, Guangxi, 530021, People's Republic of China.
Hanghang Ni *Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, 71# Hedi Road, Qingxiu District, Nanning, Guangxi, 530021, People's Republic of China.
Xihua Yang *Department of Surgical Oncology, Chenzhou No. 1 People's Hospital, Chenzhou, People's Republic of China.
Lihao TanGuangxi Medical University, Nanning, People's Republic of China.
Haixiao ZhuangGuangxi Medical University, Nanning, People's Republic of China.
Yunning MoGuangxi Medical University, Nanning, People's Republic of China.
Xingyu WeiGuangxi Medical University, Nanning, People's Republic of China.
Lunan QiDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, 71# Hedi Road, Qingxiu District, Nanning, Guangxi, 530021, People's Republic of China. qilunan_gxmu@163.com.
Bangde XiangDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, 71# Hedi Road, Qingxiu District, Nanning, Guangxi, 530021, People's Republic of China. xiangbangde@gxmu.edu.cn.
Guangxi Medical University · CNMinistry of Education of the People's Republic of China · CNChenzhou First People's Hospital · CNMinistry of Education · BN

Funding

Development and Application of Medical and Health Appropriate Technology in Guangxi S2019039National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 81960450the High-Level Innovation Team and Outstanding Scholar Program in Guangxi Colleges and Universities, "139" Projects for Training of High-Level Medical Science Talents from Guangxi, the Key Research and Development Project of Guangxi AA18221001, AB18050020, and 2020AB34006the Key Laboratory of Early Prevention and Treatment for Regional High-Frequency Tumors of the Ministry of Education, Guangxi Independent Research Project GKE2017-ZZ02, GKE2018-KF02, and GKE2019-ZZ07the National Major Special Science and Technology Project 2017ZX10203207
6 · The paper itself

Abstract

backgroundThe role of circulating tumor cells (CTCs) in prognosis prediction has been actively studied in hepatocellular carcinoma (HCC) patients. However, their efficiency in accurately predicting early progression recurrence (EPR) is unclear. This study aimed to investigate the clinical potential of preoperative CTCs to predict EPR in HCC patients after hepatectomy.

methodsOne hundred forty-five HCC patients, whose preoperative CTCs were detected, were enrolled. Based on the recurrence times and types, the patients were divided into four groups, including early oligo-recurrence (EOR), EPR, late oligo-recurrence (LOR), and late progression recurrence (LPR).

resultsAmong the 145 patients, 133 (91.7%) patients had a postoperative recurrence, including 51 EOR, 42 EPR, 39 LOR, and 1 LPR patient. Kaplan-Meier survival curve analysis indicated that the HCC patients with EPR had the worst OS. There were significant differences in the total-CTCs (T-CTCs) and CTCs subtypes count between the EPR group with EOR and LOR groups. Cox regression analysis indicated that the T-CTC count of > 5/5 mL, the presence of microvascular invasion (MVI) and satellite nodules were the independent risk factors for EPR. The efficiency of T-CTCs was superior as compared to those of the other indicators in predicting EPR. Moreover, the combined model demonstrated a markedly superior area under the curve (AUC).

conclusionsThe HCC patients with EPR had the worst OS. The preoperative CTCs was served as a prognostic indicator of EPR for HCC patients. The combined models, including T-CTCs, MVI, and satellite nodules, had the best performance to predict EPR after hepatectomy.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsNeoplastic Cells, CirculatingHepatectomyHumansNeoplasm Recurrence, LocalPrognosisRetrospective StudiesCirculating tumor cellsEarly progression recurrenceHepatectomyHepatocellular carcinoma

Identifiers

PMID38012581
PMCPMC10680336
OpenAlexW4389056634

What OpenQuestion holds

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LicenceCC BY
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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.