Evidence map›Paper›PMID 38825709›Full record

ArticleBMC cancer2024

Genomic profiling informs therapies and prognosis for patients with hepatocellular carcinoma in clinical practice.

Mengqi Song, Haoyue Cheng, Hao Zou, Kai Ma, Lianfang Lu, Qian Wei, Zejiang Xu, Zirui Tang, Yuanzheng Zhang, Yinan Wang and 1 more

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

11 authors.

Mengqi Song *Department of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Haoyue Cheng *Department of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Hao ZouDepartment of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Kai MaDepartment of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Lianfang LuDepartment of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Qian WeiDepartment of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Zejiang XuDepartment of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Zirui TangSoftware Engineering, Northeastern University, Shenyang, Liaoning, China.
Yuanzheng ZhangCollage of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, China.
Yinan WangDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China. yinanwang@pkuszh.com.
Chuandong SunDepartment of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China. suncd@qduhospital.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) genomic research has discovered actionable genetic changes that might guide treatment decisions and clinical trials. Nonetheless, due to a lack of large-scale multicenter clinical validation, these putative targets have not been converted into patient survival advantages. So, it's crucial to ascertain whether genetic analysis is clinically feasible, useful, and whether it can be advantageous for patients. We sequenced tumour tissue and blood samples (as normal controls) from 111 Chinese HCC patients at Qingdao University Hospital using the 508-gene panel and the 688-gene panel, respectively. Approximately 95% of patients had gene variations related to targeted treatment, with 50% having clinically actionable mutations that offered significant information for targeted therapy. Immune cell infiltration was enhanced in individuals with TP53 mutations but decreased in patients with CTNNB1 and KMT2D mutations. More notably, we discovered that SPEN, EPPK1, and BRCA2 mutations were related to decreased median overall survival, although MUC16 mutations were not. Furthermore, we found mutant MUC16 as an independent protective factor for the prognosis of HCC patients after curative hepatectomy. In conclusion, this study connects genetic abnormalities to clinical practice and potentially identifies individuals with poor prognoses who may benefit from targeted treatment or immunotherapy.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMutationAdultAgedbeta CateninBiomarkers, TumorBRCA2 ProteinDNA-Binding ProteinsFemaleGene Expression ProfilingGenomicsHepatectomyHumansMaleMiddle Agedbeta CateninBiomarkers, TumorBRCA2 ProteinBRCA2 protein, humanCTNNB1 protein, humanDNA-Binding ProteinsKMT2D protein, humanNeoplasm ProteinsTP53 protein, humanTumor Suppressor Protein p53Actionable genetic alterationsBiomarkerCapture-based targeted sequencingHepatocellular carcinomaMutation landscape

Identifiers

PMID38825709
PMCPMC11145829

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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.