Evidence map›Paper›PMID 38819499›Full record

ArticleJournal of gastroenterology2024

Non-invasive early detection on esophageal squamous cell carcinoma and precancerous lesions by microbial biomarkers combining epidemiological factors in China.

Minjuan Li, Dantong Shao, Zhiyuan Fan, Junjie Qin, Junming Xu, Qingru Huang, Xinqing Li, Zhaolai Hua, Jun Li, Changqing Hao and 2 more

Abstract read
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In one paragraph

Article in Journal of gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Esophageal cancer: from pathogenesis to precision therapies.Signal transduction and targeted therapy · 2026
    Review
  7. Review
  8. Signaling pathways and targeted interventions for precancers.Signal transduction and targeted therapy · 2026
    Review
  9. Article
  10. Review
  11. Review
  12. Article
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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.

Minjuan LiDepartment of Orthopedic Trauma, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Dantong ShaoDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Zhiyuan FanNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Junjie QinPromegene Institute, Shenzhen, China.
Junming XuPromegene Institute, Shenzhen, China.
Qingru HuangPromegene Institute, Shenzhen, China.
Xinqing LiNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhaolai HuaCancer Institute of Yangzhong City, People's Hospital of Yangzhong City, Yangzhong, China.
Jun LiCancer Prevention and Treatment Office, Yanting Cancer Hospital, Mianyang, China.
Changqing HaoDepartment of Endoscopy, Cancer Institute/Hospital of Linzhou, Linzhou, China.
Wenqiang WeiNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. weiwq@cicams.ac.cn.ORCID 0000-0003-2078-9056
Christian C AbnetMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.

Funding

Upper Gastrointestinal Cancer StudiesZIACP000185 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ABNET, CHRISTIAN · 2009 to 2025
$25.6M
National Key R&D Program of China 2016YFC0901404National Natural Science Fund 81974493National Science & Technology Fundamental Resources Investigation Program of China 2019FY101101
6 · The paper itself

Abstract

backgroundMicrobiota may be associated with esophageal squamous cell carcinoma (ESCC) development. However, it is not known the predictive value of microbial biomarkers combining epidemiological factors for the early detection of ESCC and precancerous lesions.

methodsA total of 449 specimens (esophageal swabs and saliva) were collected from 349 participants with different esophageal statuses in China to explore and validate ESCC-associated microbial biomarkers from genes level to species level by 16S rRNA sequencing, metagenomic sequencing and real-time quantitative polymerase chain reaction.

resultsA bacterial biomarker panel including Actinomyces graevenitzii (A.g_1, A.g_2, A.g_3, A.g_4), Fusobacteria nucleatum (F.n_1, F.n_2, F.n_3), Haemophilus haemolyticus (H.h_1), Porphyromonas gingivalis (P.g_1, P.g_2, P.g_3) and Streptococcus australis (S.a_1) was explored by metagenomic sequencing to early detect the participants in Need group (low-grade intraepithelial neoplasia, high-grade intraepithelial neoplasia and ESCC) vs participants without these lesions as the Noneed group. Significant quantitative differences existed for each microbial target in which the detection efficiency rate was higher in saliva than esophageal swab. In saliva, the area under the curve (AUC) based on the microbial biomarkers (A.g_4 ∩ P.g_3 ∩ H.h_1 ∩ S.a_1 ∩ F.n_2) was 0.722 (95% CI 0.621-0.823) in the exploration cohort. Combining epidemiological factors (age, smoking, drinking, intake of high-temperature food and toothache), the AUC improved to 0.869 (95% CI 0.802-0.937) in the exploration cohort, which was validated with AUC of 0.757 (95% CI 0.663-0.852) in the validation cohort.

conclusionsIt is feasible to combine microbial biomarkers in saliva and epidemiological factors to early detect ESCC and precancerous lesions in China.

Indexed as

Early Detection of CancerEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaPrecancerous ConditionsAdultAgedBiomarkers, TumorChinaFemaleHumansMaleMetagenomicsMicrobiotaMiddle AgedPredictive Value of TestsRNA, Ribosomal, 16SBiomarkers, TumorRNA, Ribosomal, 16SEarly detectionEsophageal cancerMetagenomic sequencingMicrobiotaPrecancerous lesions

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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.