Evidence map›Paper›PMID 39376738›Full record

ReviewMedComm2024

Next-generation spatial transcriptomics: unleashing the power to gear up translational oncology.

Nan Wang, Weifeng Hong, Yixing Wu, Zhe-Sheng Chen, Minghua Bai, Weixin Wang, Ji Zhu

Abstract readReview
In one paragraph

Review in MedComm, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

Nan WangCosmos Wisdom Biotech Co. Ltd Hangzhou China.
Weifeng HongDepartment of Radiation Oncology Zhejiang Cancer Hospital Hangzhou China.
Yixing WuDepartment of Pulmonary and Critical Care Medicine Zhongshan Hospital Fudan University Shanghai China.
Zhe-Sheng ChenDepartment of Pharmaceutical Sciences College of Pharmacy and Health Sciences Institute for Biotechnology St. John's University Queens New York USA.ORCID https://orcid.org/0000-0002-8289-097X
Minghua BaiDepartment of Radiation Oncology Zhejiang Cancer Hospital Hangzhou China.
Weixin WangCosmos Wisdom Biotech Co. Ltd Hangzhou China.
Ji ZhuDepartment of Radiation Oncology Zhejiang Cancer Hospital Hangzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing advances in spatial transcriptomics (ST) stand as the new frontier bringing unprecedented influences in the realm of translational oncology. This has triggered systemic experimental design, analytical scope, and depth alongside with thorough bioinformatics approaches being constantly developed in the last few years. However, harnessing the power of spatial biology and streamlining an array of ST tools to achieve designated research goals are fundamental and require real-world experiences. We present a systemic review by updating the technical scope of ST across different principal basis in a timeline manner hinting on the generally adopted ST techniques used within the community. We also review the current progress of bioinformatic tools and propose in a pipelined workflow with a toolbox available for ST data exploration. With particular interests in tumor microenvironment where ST is being broadly utilized, we summarize the up-to-date progress made via ST-based technologies by narrating studies categorized into either mechanistic elucidation or biomarker profiling (translational oncology) across multiple cancer types and their ways of deploying the research through ST. This updated review offers as a guidance with forward-looking viewpoints endorsed by many high-resolution ST tools being utilized to disentangle biological questions that may lead to clinical significance in the future.

Indexed as

biomarker profilingmechanism elucidationoncologysingle‐cell resolutionspatial transcriptomicstumor microenvironment

Identifiers

PMID39376738
PMCPMC11456678

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.