Evidence map›Paper›PMID 35869469›Full record

ArticleBMC cancer2022

Metabolic activity via

Jinling Song, Zhongwu Li, Lujing Yang, Maomao Wei, Zhi Yang, Xuejuan Wang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Predictive value of [European radiology · 2025
    Article
  3. Article
  4. A radiogenomics study onBMC cancer · 2025
    Article
  5. Article
  6. Article
  7. 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

6 authors at 3 institutions in 1 country.

Jinling SongDepartment of Nuclear Medicine, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Zhongwu LiKey laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
Lujing YangKey laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
Maomao WeiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
Zhi YangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
Xuejuan WangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, 100142, China. xuejuan_wang@hotmail.com.
National Medical Products Administration · CNPeking University · CNZhejiang Cancer Hospital · CN

Funding

Beijing Hospitals Authority Clinical Medicine Development of Special Funding Support XMLX202120National Natural Science Foundation of China 82071957Zhejiang Province Public Welfare Technology Application Research Project LGF22H180013
6 · The paper itself

Abstract

purposeIdentification of microsatellite instability high (MSI-H) colorectal cancer (CRC) is crucial for screening patients most likely to benefit from immunotherapy. We aim to investigate whether the metabolic characteristics is related to MSI status and can be used to predict the MSI-H CRC.

methodsA retrospective analysis was conducted on 420 CRC patients who were identified via [

resultsOf 420 colorectal cancers, 44 exhibited a high incidence of MSI. Both MTV and TLG were significantly higher in MSI-H group compared with the MSS group (P = 0.004 and P = 0.010, respectively). Logistic regression analysis indicated that CRC with MSI-H were related to younger age (P = 0.013), primary lesion located at right hemi-colon (P < 0.001) and larger MTV on PET/CT imaging (P = 0.019). MTV more than 32.19 of colorectal cancer was linked to the presence of MSI (P = 0.019).

conclusionTumor metabolic burden were higher in MSI-H CRC which may be useful for predicting the MSI status of CRC patient and thus aid in determination of immunotherapy for patients with CRC.

Indexed as

Colorectal NeoplasmsFluorodeoxyglucose F18GlycolysisHumansMicrosatellite InstabilityPositron-Emission TomographyPositron Emission Tomography Computed TomographyPrognosisRadiopharmaceuticalsRetrospective StudiesTumor BurdenFluorodeoxyglucose F18RadiopharmaceuticalsColorectal cancerMetabolic tumor volumeMicrosatellite instabilityPositron emission tomography

Identifiers

PMID35869469
PMCPMC9306059
OpenAlexW4286716279

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.