Evidence map›Paper›PMID 37370037›Full record

ArticleBMC cancer2023

Integrated analysis of intratumoral biomarker and tumor-associated macrophage to improve the prognosis prediction in cancer patients.

Ming-Da Wang, Hao Xiang, Tian-Yu Hong, Abudurexiti Mierxiati, Fei-Hu Yan, Ling Zhang, Chao Wang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 5 institutions in 1 country.

Ming-Da Wang *Shanghai Health Commission Key Lab of Artificial Intelligence-Based Management of Inflammation and Chronic Diseases, Gongli Hospital, Navy Medical University, 219 Miaopu Road, Shanghai, 200135, China.
Hao Xiang *The Third Affiliated Hospital of Zunyi Medical University, The First People's Hospital of Zunyi), Guizhou, 563000, China.
Tian-Yu HongShanghai Health Commission Key Lab of Artificial Intelligence-Based Management of Inflammation and Chronic Diseases, Gongli Hospital, Navy Medical University, 219 Miaopu Road, Shanghai, 200135, China.
Abudurexiti MierxiatiShanghai Health Commission Key Lab of Artificial Intelligence-Based Management of Inflammation and Chronic Diseases, Gongli Hospital, Navy Medical University, 219 Miaopu Road, Shanghai, 200135, China.
Fei-Hu YanDepartment of Colorectal Surgery, Shanghai Changhai Hospital, Navy Medical University, Shanghai, 200433, China. 13482082075@163.com.
Ling ZhangDepartment of Obstetrics and Gynecology, School of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Sichuan, 610000, China. zl_19831206@126.com.
Chao WangShanghai Health Commission Key Lab of Artificial Intelligence-Based Management of Inflammation and Chronic Diseases, Gongli Hospital, Navy Medical University, 219 Miaopu Road, Shanghai, 200135, China. superwang2012@aliyun.com.
Changhai Hospital · CNEastern Hepatobiliary Surgery Hospital · CNFirst People’s Hospital of Zunyi · CNSecond Military Medical University · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe lack of effective and accurate predictive indicators remains a major bottleneck for the improvement of the prognosis of patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). Hepatitis B virus X (HBx) has been widely suggested as a critical pathogenic protein for HBV-driven liver carcinogenesis, while tumor-associated macrophage (TAM) infiltration is also closely related to the tumorigenesis and progression of HCC. However, few studies have determined whether combining HBx expression with TAM populations could increase the accuracy of prognostic prediction for HBV-related HCC.

methodsThe study cohort enrolling 251 patients with HBV-related HCC was randomly split into a training and a validation group (ratio 1:1). The expression levels of HBx and TAM marker CD68 in HCC samples were detected by immunohistochemistry. Kaplan-Meier curves, Cox regression and Harrell's concordance index (C-index) analysis were conducted to evaluate the prognostic significance of these indicators alone or in combination.

resultsThe expression level of HBx was strongly correlated with CD68

conclusionCombining the expression of intratumoral HBx, CD68

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiomarkersHepatitis B virusHumansModels, StatisticalPrognosisTumor-Associated MacrophagesTumor MicroenvironmentBiomarkersCD68HBxHepatocellular carcinomaPredictive accuracyPrognosisTumor-associated Macrophage

Identifiers

PMID37370037
PMCPMC10294501
OpenAlexW4382317792

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.