Evidence map›Paper›PMID 31236441›Full record

ArticleMolecular therapy oncolytics2019

Dual Regulatory Mechanisms of Expression and Mutation Involving Metabolism-Related Genes FDFT1 and UQCR5 during CLM.

Yu-Shui Ma, Zhi-Jun Wu, Hong-Wei Zhang, Bo Cai, Tao Huang, Hui-Deng Long, Hong Xu, Yong-Zhong Zhao, Yu-Zhen Yin, Shao-Bo Xue and 7 more

Abstract read
In one paragraph

Article in Molecular therapy oncolytics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. World journal of clinical oncology · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Proteomic Profiling and Biomarker Discovery in Colorectal Liver Metastases.International journal of molecular sciences · 2022
    Review
  8. Remodeling "cold" tumor immune microenvironmentActa pharmaceutica Sinica. B · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. 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

17 authors.

Yu-Shui MaDepartment of Radiotherapy, Nantong Tumor Hospital, Nantong 226631, China.
Zhi-Jun WuDepartment of Radiotherapy, Nantong Tumor Hospital, Nantong 226631, China.
Hong-Wei ZhangAnalytical Chemistry Platforms, Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China.
Bo CaiDepartment of Chronic Diseases, Nantong Center for Disease Control and Prevention, Nantong 226007, China.
Tao HuangInstitute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, China.
Hui-Deng LongCentral Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Hong XuDepartment of Gastroenterology and Hepatology, Hangzhou Red Cross Hospital, Hangzhou 310003, China.
Yong-Zhong ZhaoDepartment of Medical Genetics, Southern Medical University, Guangzhou 510515, China.
Yu-Zhen YinCentral Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Shao-Bo XueCentral Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Liu LiCentral Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Cheng-Lin LiuSchool of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Ru-Ting XieCentral Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Lin-Lin TianCentral Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Ji-Bin LiuCancer Institute, Nantong Tumor Hospital, Nantong 226631, China.
Xu-Ming WuDepartment of Chronic Diseases, Nantong Center for Disease Control and Prevention, Nantong 226007, China.
Da FuCentral Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most common cancer worldwide, and liver metastasis presents a major cause of CRC-associated death. Extensive genomic analysis has provided valuable insight into the pathogenesis and progression of CRC; however, a comprehensive proteogenomic characterization of CRC liver metastasis (CLM) has yet to be reported. Here, we analyzed the proteomes of 44 paired normal colorectal tissues and CRC tissues with or without liver metastasis, as well as analyzed genomics of CRC characterized previously by The Cancer Genome Atlas (TCGA) to conduct integrated proteogenomic analyses. We identified a total of 2,170 significantly deregulated proteins associated with CLM, 14.88% of which were involved in metabolic pathways. The mutated peptide number was found to have potential prognosis value, and somatic variants revealed two metabolism-related genes UQCR5 and FDFT1 that frequently mutated only in the liver metastatic cohort and displayed dysregulated protein abundance with biological function and clinical significance in CLM. Proteogenomic characterization and integrative and comparative genomic analysis provides functional context and prognostic value to annotate genomic abnormalities and affords a new paradigm for understanding human colon and rectal cancer liver metastasis.

Indexed as

CRCgenomicsintegrated analysisliver metastasisproteomics

Identifiers

PMID31236441
PMCPMC6579909

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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.