Evidence map›Paper›PMID 37055822›Full record

ArticleJournal of biomedical science2023

A tumor microenvironment-based prognostic index for osteosarcoma.

Changwu Wu, Siming Gong, Yingjuan Duan, Chao Deng, Sonja Kallendrusch, Laura Berninghausen, Georg Osterhoff, Nikolas Schopow

Abstract read
In one paragraph

Article in Journal of biomedical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
–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

70 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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10 more citing papers are in PubMed but not listed here.

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.

Changwu WuInstitute of Anatomy, University of Leipzig, Liebigstraße 13, 04103, Leipzig, Germany.
Siming GongInstitute of Anatomy, University of Leipzig, Liebigstraße 13, 04103, Leipzig, Germany. siminggong23@gmail.com.ORCID http://orcid.org/0000-0002-0968-490X
Yingjuan DuanFaculty of Chemistry and Mineralogy, University of Leipzig, 04103, Leipzig, Germany.
Chao DengDepartment of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, China.
Sonja KallendruschInstitute of Anatomy, University of Leipzig, Liebigstraße 13, 04103, Leipzig, Germany.
Laura BerninghausenDepartment of Orthopedics, Trauma and Plastic Surgery, Sarcoma Center, University Hospital Leipzig, 04103, Leipzig, Germany.
Georg OsterhoffDepartment of Orthopedics, Trauma and Plastic Surgery, Sarcoma Center, University Hospital Leipzig, 04103, Leipzig, Germany.
Nikolas SchopowDepartment of Orthopedics, Trauma and Plastic Surgery, Sarcoma Center, University Hospital Leipzig, 04103, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe tumor microenvironment (TME) has a central role in the oncogenesis of osteosarcomas. The composition of the TME is essential for the interaction between tumor and immune cells. The aim of this study was to establish a prognostic index (TMEindex) for osteosarcoma based on the TME, from which estimates about patient survival and individual response to immune checkpoint inhibitor (ICI) therapy can be deduced.

methodsBased on osteosarcoma samples from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database, the ESTIMATE algorithm was used to estimate ImmuneScore and StromalScore. Combined differentially expressed gene analysis, weighted gene co-expression network analyses, the Least Absolute Shrinkage and Selection Operator regression and stepwise regression to construct the TMEindex. The prognostic role of TMEindex was validated in three independent datasets. The molecular and immune characteristics of TMEindex and the impact on immunotherapy were then comprehensively investigated. The expression of TMEindex genes in different cell types and its effects on osteosarcoma cells were explored by scRNA-Seq analysis and molecular biology experiments.

resultsFundamental is the expression of MYC, P4HA1, RAMP1 and TAC4. Patients with high TMEindex had worse overall survival, recurrence-free survival, and metastasis-free survival. TMEindex is an independent prognostic factor in osteosarcoma. TMEindex genes were mainly expressed in malignant cells. The knockdown of MYC and P4HA1 significantly inhibited the proliferation, invasion and migration of osteosarcoma cells. A high TME index is related to the MYC, mTOR, and DNA replication-related pathways. In contrast, a low TME index is related to immune-related signaling pathways such as the inflammatory response. The TMEindex was negatively correlated with ImmuneScore, StromalScore, immune cell infiltration, and various immune-related signature scores. Patients with a higher TMEindex had an immune-cold TME and higher invasiveness. Patients with a low TME index were more likely to respond to ICI therapy and achieve clinical benefit. In addition, the TME index correlated with response to 29 oncologic drugs.

conclusionsThe TMEindex is a promising biomarker to predict the prognosis of patients with osteosarcoma and their response to ICI therapy, and to distinguish the molecular and immune characteristics.

Indexed as

Bone NeoplasmsOsteosarcomaAlgorithmsHumansPrognosisTumor MicroenvironmentBig dataCheckpoint inhibitor therapyImmune cell infiltrationOsteosarcomaPrognostic indexTumor microenvironment

Identifiers

PMID37055822
PMCPMC10099847

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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.