Evidence map›Paper›PMID 38454764›Full record

ArticleCombinatorial chemistry & high throughput screening2024

DPP2/7 is a Potential Predictor of Prognosis and Target in Immunotherapy in Colorectal Cancer: An Integrative Multi-omics Analysis.

Zhihao Shang, Yueyang Lai, Haibo Cheng

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Article in Combinatorial chemistry & high throughput screening, 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
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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

3 authors.

Zhihao ShangThe First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, 210046, China.
Yueyang LaiThe First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, 210046, China.
Haibo ChengThe First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, 210046, China.

Funding

Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine ZYYCXTD-C-202208National Key R&D Program of China 2022YFC3500200, 2022YFC3500202Natural Science Foundation of China 81902330
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) ranks among the leading causes of cancerrelated deaths.

objectiveThis study aimed to illuminate the relationship between DPP7 (also known as DPP2) and CRC through a combination of bioinformatics and experimental methodologies.

methodsA multi-dimensional bioinformatic analysis on DPP7 was executed, covering its expression, survival implications, clinical associations, functional roles, immune interactions, and drug sensitivities. Experimental validations involved siRNA-mediated DPP7 knockdown and various cellular assays.

resultsData from the Cancer Genome Atlas (TCGA) identified high DPP7 expression in solid CRC tumors, with elevated levels adversely affecting patient prognosis. A shift from the N0 to the N2 stage in CRC was associated with increased DPP7 expression. Functional insights indicated the involvement of DPP7 in cancer progression, particularly in extracellular matrix disassembly. Immunological analyses showed its association with immunosuppressive entities, and in vitro experiments in CRC cell lines underscored its oncogenic attributes.

conclusionDPP7 could serve as a CRC prognosis marker, functioning as an oncogene and representing a potential immunotherapeutic target.

Indexed as

Colorectal NeoplasmsDipeptidyl-Peptidases and Tripeptidyl-PeptidasesImmunotherapyCell Line, TumorCell ProliferationComputational BiologyHumansMultiomicsPrognosisdipeptidyl peptidase IIDipeptidyl-Peptidases and Tripeptidyl-Peptidasesbioinformaticscolorectal cancerDipeptidyl Peptidase 7immunotherapyoncogeneprognosis.

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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.