Evidence map›Paper›PMID 37462602›Full record

ArticleClinical and translational medicine2023

Intratumoural microbiome can predict the prognosis of hepatocellular carcinoma after surgery.

Lejia Sun, Xindi Ke, Ai Guan, Bao Jin, Jiangming Qu, Yinhan Wang, Xiang Xu, Changcan Li, Hang Sun, Hengyi Xu and 6 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
13.2field-weighted citation impact, top 1% 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

78 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

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18 more citing papers are in PubMed but not listed here.

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

16 authors at 3 institutions in 1 country.

Lejia SunDepartment of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences, Beijing, China.
Xindi KeDepartment of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences, Beijing, China.
Ai GuanEight-year MD Program, Peking Union Medical College (PUMC) & Chinese Academy of Medical Sciences, Beijing, China.
Bao JinDepartment of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences, Beijing, China.
Jiangming QuEight-year MD Program, Peking Union Medical College (PUMC) & Chinese Academy of Medical Sciences, Beijing, China.
Yinhan WangEight-year MD Program, Peking Union Medical College (PUMC) & Chinese Academy of Medical Sciences, Beijing, China.
Xiang XuEight-year MD Program, Peking Union Medical College (PUMC) & Chinese Academy of Medical Sciences, Beijing, China.
Changcan LiDepartment of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences, Beijing, China.
Hang SunDepartment of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences, Beijing, China.
Hengyi XuEight-year MD Program, Peking Union Medical College (PUMC) & Chinese Academy of Medical Sciences, Beijing, China.
Gang XuLiver Transplant Center, Organ Transplant Center, West China Hospital of Sichuan University, Chengdu, China.
Xinting SangDepartment of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences, Beijing, China.ORCID https://orcid.org/0000-0003-1952-0527
Yifei FengDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yueming SunDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0001-8641-1668
Huayu YangDepartment of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences, Beijing, China.
Yilei MaoDepartment of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences, Beijing, China.ORCID https://orcid.org/0000-0003-0449-4223
Chinese Academy of Medical Sciences & Peking Union Medical College · CNJiangsu Province Hospital · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe dismal prognosis of hepatocellular carcinoma (HCC) is closely associated with characteristics of the tumour microenvironment (TME). Recent studies have confirmed the presence and potential influence of the microbiome in TME on cancer progression. Elucidating the relationship between microbes in the TME and cancer could provide valuable insights into novel diagnostic markers and therapeutic strategies for HCC and thus warrants a closer investigation of the role of intratumoural microbiome in the HCC TME.

methodsWe determined the presence of intratumoural microbiome using fluorescence in situ hybridisation, and explored the microbial community profiles in the HCC TME in paired tumour and adjacent normal tissues using 16S rDNA sequencing. Microbial signatures were characterised in the paired group, and their correlation with clinical characteristics was further investigated. We clustered the microbial signatures of tumour tissues by hepatotypes, and further analysis was performed to elucidate the independent prognostic value of the hepatotypes.

resultsThis study revealed that microbial profiles and community networks differed notably between tumours and adjacent normal tissues. Proteobacteria and Actinobacteria were the most abundant phyla in the HCC TME. The TME microbial profiles also revealed heterogeneities between individuals and between multiple tumour lesions. Clustering of the microbial profiles into two hepatotypes revealed different microbial network patterns. Additionally, the hepatotypes were revealed to be independent prognostic factors in patients with resected HCC.

conclusionsOur study illuminates the microbial profiles in the TME of HCC and presents the hepatotype as a potential independent biomarker for the prognostic prediction of HCC after surgery.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMicrobiotaHumansPrognosisTumor Microenvironmenthepatocellular carcinomahepatotypeintratumoural microbiomeprognosis

Identifiers

PMID37462602
PMCPMC10353526
OpenAlexW4384626749

What OpenQuestion holds

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LicenceCC BY
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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.