Evidence map›Paper›PMID 38502057›Full record

ArticleThe Journal of experimental medicine2024

Distinct molecular profiles drive multifaceted characteristics of colorectal cancer metastatic seeds.

Yuanyuan Zhao, Bing Zhang, Yiming Ma, Mengmeng Guo, Fuqiang Zhao, Jianan Chen, Bingzhi Wang, Hua Jin, Fulai Zhou, Jiawei Guan and 5 more

Abstract read
In one paragraph

Article in The Journal of experimental medicine, 2024. 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
–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

3 citing papers in PubMed.

  1. Review
  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

15 authors.

Yuanyuan Zhao *School of Pharmaceutical Sciences, Tsinghua University , Beijing, China.ORCID 0009-0005-6077-140X
Bing Zhang *Beijing Institutes of Life Science, Chinese Academy of Sciences , Beijing, China.ORCID 0000-0002-3975-0218
Yiming Ma *State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing, China.ORCID 0000-0002-4654-5642
Mengmeng GuoSchool of Pharmaceutical Sciences, Tsinghua University , Beijing, China.ORCID 0009-0005-7378-3952
Fuqiang ZhaoDepartment of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0003-0676-8371
Jianan ChenDepartment of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0002-6673-6884
Bingzhi WangDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0001-9622-7151
Hua JinSchool of Pharmaceutical Sciences, Tsinghua University , Beijing, China.ORCID 0000-0002-6787-3872
Fulai ZhouSchool of Pharmaceutical Sciences, Tsinghua University , Beijing, China.ORCID 0009-0007-8950-5564
Jiawei GuanSchool of Pharmaceutical Sciences, Tsinghua University , Beijing, China.ORCID 0000-0001-6251-4064
Qian ZhaoSchool of Pharmaceutical Sciences, Tsinghua University , Beijing, China.ORCID 0000-0002-5267-3480
Qian LiuDepartment of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0002-7251-2676
Hongying WangState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing, China.ORCID 0000-0001-8443-3839
Fangqing ZhaoBeijing Institutes of Life Science, Chinese Academy of Sciences , Beijing, China.ORCID 0000-0002-6216-1235
Xia WangSchool of Pharmaceutical Sciences, Tsinghua University , Beijing, China.ORCID 0000-0001-7081-1480

Funding

Chinese Academy of Medical Sciences 2022-I2M-1-009National Key Research and Development Program of China 2021YFA1100103National Natural Science Foundation of China 32070796Tsinghua-Peking Center for Life Sciences 100084Tsinghua University
6 · The paper itself

Abstract

Metastasis of primary tumors remains a challenge for early diagnosis and prevention. The cellular properties and molecular drivers of metastatically competent clones within primary tumors remain unclear. Here, we generated 10-16 single cell-derived lines from each of three colorectal cancer (CRC) tumors to identify and characterize metastatic seeds. We found that intrinsic factors conferred clones with distinct metastatic potential and cellular communication capabilities, determining organ-specific metastasis. Poorly differentiated or highly metastatic clones, rather than drug-resistant clones, exhibited poor clinical prognostic impact. Personalized genetic alterations, instead of mutation burden, determined the occurrence of metastatic potential during clonal evolution. Additionally, we developed a gene signature for capturing metastatic potential of primary CRC tumors and demonstrated a strategy for identifying metastatic drivers using isogenic clones with distinct metastatic potential in primary tumors. This study provides insight into the origin and mechanisms of metastasis and will help develop potential anti-metastatic therapeutic targets for CRC patients.

Indexed as

CarcinogenesisColorectal NeoplasmsCell CommunicationCell LineHumansSeeds

Identifiers

PMID38502057
PMCPMC10949939

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.