Evidence map›Paper›PMID 36704039›Full record

ReviewFrontiers in endocrinology2022

Applications of spatially resolved omics in the field of endocrine tumors.

Yinuo Hou, Yan Gao, Shudi Guo, Zhibin Zhang, Ruibing Chen, Xiangyang Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 1 institution in 1 country.

Yinuo HouSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Yan GaoSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Shudi GuoSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Zhibin ZhangGeneral Surgery, Tianjin First Center Hospital, Tianjin, China.
Ruibing ChenSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Xiangyang ZhangSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endocrine tumors derive from endocrine cells with high heterogeneity in function, structure and embryology, and are characteristic of a marked diversity and tissue heterogeneity. There are still challenges in analyzing the molecular alternations within the heterogeneous microenvironment for endocrine tumors. Recently, several proteomic, lipidomic and metabolomic platforms have been applied to the analysis of endocrine tumors to explore the cellular and molecular mechanisms of tumor genesis, progression and metastasis. In this review, we provide a comprehensive overview of spatially resolved proteomics, lipidomics and metabolomics guided by mass spectrometry imaging and spatially resolved microproteomics directed by microextraction and tandem mass spectrometry. In this regard, we will discuss different mass spectrometry imaging techniques, including secondary ion mass spectrometry, matrix-assisted laser desorption/ionization and desorption electrospray ionization. Additionally, we will highlight microextraction approaches such as laser capture microdissection and liquid microjunction extraction. With these methods, proteins can be extracted precisely from specific regions of the endocrine tumor. Finally, we compare applications of proteomic, lipidomic and metabolomic platforms in the field of endocrine tumors and outline their potentials in elucidating cellular and molecular processes involved in endocrine tumors.

Indexed as

Endocrine Gland NeoplasmsNeoplasmsHumansMetabolomicsProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTandem Mass SpectrometryTumor Microenvironmentendocrine tumorsliquid chromatography-mass spectrometrymass spectrometry imagingmicroextractionmulti-omicsspatially resolved microproteomics

Identifiers

PMID36704039
PMCPMC9873308
OpenAlexW4315434041

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.