Evidence map›Paper›PMID 35303006›Full record

ArticlePloS one2022

Assessment of the targeted effect of Sijunzi decoction on the colorectal cancer microenvironment via the ESTIMATE algorithm.

Jiaxin Du, Quyuan Tao, Ying Liu, Zhanming Huang, He Jin, Wenjia Lin, Xinying Huang, Jingyan Zeng, Yongchang Zhao, Lingyu Liu and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Pan-cancer analysis identifiesTranslational cancer research · 2022
    Article
  11. Article
  12. Article
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

15 authors at 2 institutions in 1 country.

Jiaxin DuSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Quyuan TaoSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Ying LiuSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Zhanming HuangThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
He JinSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Wenjia LinSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xinying HuangSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jingyan ZengShenzhen Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yongchang ZhaoThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Lingyu LiuSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Qian XuSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xue HanSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Lixia ChenSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xin-Lin ChenSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID 0000-0002-2650-8051
Yi WenThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Guangzhou University of Chinese Medicine · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSijunzi decoction (SJZD) was used to treat patients with colorectal cancer (CRC) as an adjuvant method. The aim of the study was to investigate the therapeutic targets and pathways of SJZD towards the tumor microenvironment of CRC via network pharmacology and the ESTIMATE algorithm.

methodsThe ESTIMATE algorithm was used to calculate immune and stromal scores to predict the level of infiltrating immune and stromal cells. The active targets of SJZD were searched in the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and UniProt database. The core targets were obtained by matching the differentially expressed genes in CRC tissues and the targets of SJZD. Then, GO, KEGG and validation in TCGA were carried out.

resultsAccording to the ESTIMATE algorithm and survival analysis, the median survival time of the low stromal score group was significantly higher than that of the high stromal score group (P = 0.018), while the patients showed no significant difference of OS between different immune groups (P = 0.19). A total of 929 genes were upregulated and 115 genes were downregulated between the stromal score groups (|logFC| > 2, adjusted P < 0.05); 357 genes were upregulated and 472 genes were downregulated between the immune score groups. The component-target network included 139 active components and 52 related targets. The core targets were HSPB1, SPP1, IGFBP3, and TGFB1, which were significantly associated with poor prognosis in TCGA validation. GO terms included the response to hypoxia, the extracellular space, protein binding and the TNF signaling pathway. Immunoreaction was the main enriched pathway identified by KEGG analysis.

conclusionThe core genes (HSPB1, SPP1, IGFBP3 and TGFB1) affected CRC development and prognosis by regulating hypoxia, protein binding and epithelial-mesenchymal transition in the extracellular matrix.

Indexed as

Colorectal NeoplasmsDrugs, Chinese HerbalAlgorithmsHumansHypoxiaTumor MicroenvironmentDrugs, Chinese HerbalSijunzi decoction

Identifiers

PMID35303006
PMCPMC8932555
OpenAlexW4221007003

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.