Evidence map›Paper›PMID 32968147›Full record

ArticleScientific reports2020

Quantitative proteomics identifies a plasma multi-protein model for detection of hepatocellular carcinoma.

Zhenhua Du, Xinyi Liu, Xiaojun Wei, Hongbo Luo, Peiyao Li, Mengting Shi, Bingqian Guo, Ying Cui, Zhenglin Su, Jifeng Zeng and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Serum/Plasma Proteome in Non-Malignant Liver Disease.International journal of molecular sciences · 2024
    Review
  10. Blood biomarkers of hepatocellular carcinoma: a critical review.Frontiers in cell and developmental biology · 2024
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. HBFP: a new repository for human body fluid proteome.Database : the journal of biological databases and curation · 2021
    Article
  18. Article
  19. Article
  20. 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

13 authors at 5 institutions in 1 country.

Zhenhua Du *State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, 27 Taiping Road, Beijing, 100850, People's Republic of China.
Xinyi Liu *State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, 27 Taiping Road, Beijing, 100850, People's Republic of China.
Xiaojun WeiState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, 27 Taiping Road, Beijing, 100850, People's Republic of China.
Hongbo LuoMedical College of Guizhou University, Guiyang City, 550025, People's Republic of China.
Peiyao LiState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, 27 Taiping Road, Beijing, 100850, People's Republic of China.
Mengting ShiState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, 27 Taiping Road, Beijing, 100850, People's Republic of China.
Bingqian GuoState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, 27 Taiping Road, Beijing, 100850, People's Republic of China.
Ying CuiAffiliated Cancer Hospital of Guangxi Medical University, Nanning City, 530021, People's Republic of China.
Zhenglin SuThe No. 954 Hospital of PLA, Shannan City, 856100, People's Republic of China.
Jifeng ZengThe No. 954 Hospital of PLA, Shannan City, 856100, People's Republic of China.
Anfeng SiDepartment of Surgical Oncology, Jinling Hospital, School of Medicine, Nanjing University, 305 Zhongshan East Road, Nanjing City, 210002, People's Republic of China. saf2008419@163.com.
Pengbo CaoState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, 27 Taiping Road, Beijing, 100850, People's Republic of China. birchcpb@163.com.
Gangqiao ZhouState Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, 27 Taiping Road, Beijing, 100850, People's Republic of China. zhougq114@126.com.
Beijing Proteome Research Center · CNGuangxi Medical University · CNGuizhou University · CNNanjing General Hospital of Nanjing Military Command · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More efficient biomarkers are needed to facilitate the early detection of hepatocellular carcinoma (HCC). We aimed to identify candidate biomarkers for HCC detection by proteomic analysis. First, we performed a global proteomic analysis of 10 paired HCC and non-tumor tissues. Then, we validated the top-ranked proteins by targeted proteomic analyses in another tissue cohort. At last, we used enzyme-linked immunosorbent assays to validate the candidate biomarkers in multiple serum cohorts including HCC cases (HCCs), cirrhosis cases (LCs), and normal controls (NCs). We identified and validated 33 up-regulated proteins in HCC tissues. Among them, eight secretory or membrane proteins were further evaluated in serum, revealing that aldo-keto reductase family 1 member B10 (AKR1B10) and cathepsin A (CTSA) can distinguish HCCs from LCs and NCs. The area under the curves (AUCs) were 0.891 and 0.894 for AKR1B10 and CTSA, respectively, greater than that of alpha-fetoprotein (AFP; 0.831). Notably, combining the three proteins reached an AUC of 0.969, which outperformed AFP alone (P < 0.05). Furthermore, the serum AKR1B10 levels dramatically decreased after surgery. AKR1B10 and CTSA are potential serum biomarkers for HCC detection. The combination of AKR1B10, CTSA, and AFP may improve the HCC diagnostic efficacy.

Indexed as

AdultAgedBiomarkers, TumorBlood ProteinsCarcinoma, HepatocellularFemaleHumansImmunohistochemistryLiver NeoplasmsMaleMiddle AgedNeoplasm ProteinsProteomicsBiomarkers, TumorBlood ProteinsNeoplasm Proteins

Identifiers

PMID32968147
PMCPMC7511324
OpenAlexW3088121437

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.