Evidence map›Paper›PMID 39871933›Full record

ReviewLife medicine2022

Spatiotemporal Omics-Refining the landscape of precision medicine.

Jiajun Zhang, Jianhua Yin, Yang Heng, Ken Xie, Ao Chen, Ido Amit, Xiu-Wu Bian, Xun Xu

Abstract readReview
In one paragraph

Review in Life medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  17. Biomarkers of aging.Science China. Life sciences · 2023
    Review
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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

8 authors.

Jiajun ZhangBGI Research-Southwest, BGI, Chongqing 401329, China.
Jianhua YinBGI Research-Shenzhen, BGI, Shenzhen 518083, China.
Yang HengBGI Research-Shenzhen, BGI, Shenzhen 518083, China.
Ken XieDepartment of Immunology, Weizmann Institute of Science, Rehovot, Israel.
Ao ChenBGI Research-Southwest, BGI, Chongqing 401329, China.
Ido AmitDepartment of Immunology, Weizmann Institute of Science, Rehovot, Israel.
Xiu-Wu BianDepartment of Pathology, the First Affiliated Hospital of University of Science & Technology of China, Hefei 230036, China.ORCID https://orcid.org/0000-0003-4383-0197
Xun XuBGI Research-Southwest, BGI, Chongqing 401329, China.ORCID https://orcid.org/0000-0002-5338-5173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current streamline of precision medicine uses histomorphological and molecular information to indicate individual phenotypes and genotypes to achieve optimal outcome of treatment. The knowledge of detected mutations and alteration can hardly describe molecular interaction and biological process which can finally be manifested as a disease. With molecular diagnosis revising the modalities of disease, there is a trend in precision medicine to apply multiomic and multidimensional information to decode tumors, regarding heterogeneity, pathogenesis, prognosis, etc. Emerging state-of-art spatiotemporal omics provides a novel vision for in discovering clinicopathogenesis associated findings, some of which show a promising potential to be translated to facilitate clinical practice. Here, we summarize the available spatiotemporal omic technologies and algorithms, highlight the novel scientific findings and explore potential applications in the clinical scenario. Spatiotemporal omics present the ability to provide impetus to rewrite clinical pathology and to answer outstanding clinical questions. This review emphasizes the novel vision of spatiotemporal omics to refine the landscape of precision medicine in the clinic.

Indexed as

pathomechanism of diseaseprecision medicinespatial algorithmsspatiotemporal omicstechnologies of spatial omics

Identifiers

PMID39871933
PMCPMC11749813

What OpenQuestion holds

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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.