Evidence map›Paper›PMID 38332165›Full record

ArticleScientific reports2024

Analysis of clinicopathologic and imaging features of dual-phenotype hepatocellular carcinoma.

Ketuan Huang, Yongfei He, Tianyi Liang, Shutian Mo, Yuan Liao, Qiang Gao, Xiwen Liao, Chuangye Han, Guangzhi Zhu, Tao Peng

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Ketuan HuangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuang-Yong Rd. 6, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Yongfei HeDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuang-Yong Rd. 6, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Tianyi LiangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuang-Yong Rd. 6, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Shutian MoDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuang-Yong Rd. 6, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Yuan LiaoDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuang-Yong Rd. 6, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Qiang GaoDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuang-Yong Rd. 6, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Xiwen LiaoDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuang-Yong Rd. 6, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Chuangye HanDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuang-Yong Rd. 6, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Guangzhi ZhuDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuang-Yong Rd. 6, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Tao PengDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuang-Yong Rd. 6, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China. pengtaogmu@163.com.

Funding

Guangxi Medical and Health Appropriate Technology Development and Application Project No. S2021100
6 · The paper itself

Abstract

Dual-phenotype hepatocellular carcinoma (DPHCC) is a new subtype of hepatocellular carcinoma (HCC). This study aimed to investigate the relationship between the computerized tomography scan (CT) imaging and clinicopathologic features of DPHCC. The CT imaging and clinicopathologic data of 97 HCC cases who underwent radical resection were collected retrospectively. The CT imaging feature was evaluated by the ratio of the average CT value of tumor to liver (TLR) in the plain scan, arterial, portal vein and delayed phases. The association between CT imaging and clinicopathologic features was analyzed using the t-test or chi-square test. Univariate and multivariate recurrence-free survival (RFS) analysis and overall survival (OS) were performed. The positive rates of cytokeratin 7 (CK7) and CK19 were 35.1% and 20.6% respectively. The positive rate of CK19 was significantly higher in cases with age < 47 years (P = 0.005), tumor diameter > 4 cm (P = 0.016) or AFP ≥ 400 ng/ml (P = 0.007). The TLR in the portal vein phase was significantly lower in CK19 positive group (P = 0.024). The recurrence risk was significantly higher in cases with CK19 positive (HR: 2.17, 95% CI 1.16 to 4.04, P = 0.013), tumor diameter > 4 cm (HR: 2.05, 95% CI 1.11 to 3.78, P = 0.019), AFP ≥ 400 ng/ml (HR: 2.50, 95% CI 1.37 to 4.54, P = 0.002) or CA199 ≥ 37 U/ml (HR: 2.23, 95% CI 1.12 to 4.42, P = 0.020). However, imaging features, pathological subtype, CK7 or CK19 expression were not significantly related to HCC OS in the univariate and multivariate analysis (all P > 0.05). The expression of CK19 may be associated with the enhancement feature of the portal vein phase CT image, and CK19 positive may suggest a worse RFS.

Indexed as

Carcinoma, HepatocellularLiver Neoplasmsalpha-FetoproteinsHumansIntermediate Filament ProteinsKeratin-7Middle AgedPhenotypePrognosisRetrospective Studiesalpha-FetoproteinsIntermediate Filament ProteinsKeratin-7CK19CK7Dual-phenotype hepatocellular carcinomaPrognosis

Identifiers

PMID38332165
PMCPMC10853567

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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.