Evidence map›Paper›PMID 34778231›Full record

ArticleFrontiers in bioengineering and biotechnology2021

Tumor Microenvironment Profiles Reveal Distinct Therapy-Oriented Proteogenomic Characteristics in Colorectal Cancer.

Nan Wang, Rongshui Wang, Xia Li, Zhentao Song, Lingbo Xia, Jue Wang, Li Zhang, Aiwen Wu, Zhiyong Ding

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Review
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  5. Review
  6. Novel insights from spatial transcriptome analysis in solid tumors.International journal of biological sciences · 2023
    Review
  7. High-Plex Spatial Profiling of RNA and Protein Using Digital Spatial Profiler.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Review
  9. Review
  10. Article
  11. Computational solutions for spatial transcriptomics.Computational and structural biotechnology journal · 2022
    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

9 authors at 3 institutions in 1 country.

Nan WangMills Institute for Personalized Cancer Care, Fynn Biotechnologies Ltd., Jinan, China.
Rongshui WangMills Institute for Personalized Cancer Care, Fynn Biotechnologies Ltd., Jinan, China.
Xia LiMills Institute for Personalized Cancer Care, Fynn Biotechnologies Ltd., Jinan, China.
Zhentao SongMills Institute for Personalized Cancer Care, Fynn Biotechnologies Ltd., Jinan, China.
Lingbo XiaMills Institute for Personalized Cancer Care, Fynn Biotechnologies Ltd., Jinan, China.
Jue WangDepartment of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Li ZhangDepartment of Pathology, Beijing Cancer Hospital, Beijing, China.
Aiwen WuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery, Peking University, Beijing, China.
Zhiyong DingMills Institute for Personalized Cancer Care, Fynn Biotechnologies Ltd., Jinan, China.
Ministry of Education of the People's Republic of China · CNPeking University · CNShandong Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in immunotherapy have made an unprecedented leap in treating colorectal cancer (CRC). However, more effective therapeutic regimes need a deeper understanding of molecular architectures for precise patient stratification and therapeutic improvement. We profiled patients receiving neoadjuvant chemotherapy alone or in combination with immunotherapy (PD-1 checkpoint inhibitor) using Digital Spatial Profiler (DSP), a high-plex spatial proteogenomic technology. Compartmentalization-based high-plex profiling of both proteins and mRNAs revealed pronounced immune infiltration at tumor regions associated with immunotherapy treatment. The protein and the corresponding mRNA levels within the same selected regions of those patient samples correlate, indicating an overall concordance between the transcriptional and translational levels. An elevated expression of PD-L1 at both protein and the mRNA levels was discovered in the tumor compartment of immunotherapy-treated patients compared with chemo-treated patients, indicating potential prognostic biomarkers are explorable in a spatial manner at the local tumor microenvironment (TME). An elevated expression of PD-L1 was verified by immunohistochemistry. Other compartment-specific biomarkers were also differentially expressed between the tumor and stromal regions, indicating a dynamic interplay that can potentiate novel biomarker discovery from the TME perspectives. Simultaneously, a high-plex spatial profiling of protein and mRNA in the tumor microenvironment of colorectal cancer was performed.

Indexed as

CRC (colorectal cancer)digital spatial profilingimmunotherapyPD1 and PDL1spatial proteomicsspatial transcriptomicstumor microenvironment (TME)

Identifiers

PMID34778231
PMCPMC8581216
OpenAlexW3209643833

What OpenQuestion holds

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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.