Evidence map›Paper›PMID 42909963›Full record

ReviewFrontiers in immunology2026

Advancing osteosarcoma treatment: the impact of intratumoral metabolic reprogramming on immunotherapy.

Jiawei Yin, Shuai Lu, Yikai Liu, Maoqi Gong, Yejun Zha, Xieyuan Jiang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiawei YinBeijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Shuai LuDepartment of Orthopedic Trauma, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Yikai LiuBeijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Maoqi GongDepartment of Orthopedic Trauma, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Yejun ZhaDepartment of Orthopedic Trauma, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Xieyuan JiangDepartment of Orthopedic Trauma, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) remains difficult to cure once it becomes metastatic, recurrent, or resistant to chemotherapy, and immune checkpoint blockade has provided limited clinical benefit. The metabolic-immune tumor microenvironment (TME) is one barrier to effective immunity because malignant, stromal, and immune cells compete for nutrients and adapt to hypoxia, acidosis, and matrix-related constraints. This review examines how cancer-associated fibroblasts, extracellular matrix, myeloid and lymphoid populations interact with glucose/lactate, glutamine, arginine, and lipid metabolism in OS. Public OS single-cell RNA sequencing datasets are used to illustrate cellular heterogeneity and are interpreted alongside published experimental evidence. OS-specific evidence is most developed for glycolysis and acidosis, glutamine dependence, myeloid regulation, and selected stromal and lipid-related pathways. Arginine-directed approaches, NK-cell immunometabolism, and most metabolism-ICB combinations remain preclinical or are supported mainly by mechanistic evidence from other tumor types. Together, these findings highlight the mechanisms with the strongest current support and the major gaps that remain before clinical translation.

Indexed as

Bone NeoplasmsImmunotherapyOsteosarcomaAnimalsHumansMetabolic ReprogrammingTumor Microenvironmentimmune checkpoint blockadeimmunometabolismmetabolic reprogrammingosteosarcomasingle-cell RNA sequencingtumor microenvironment

Identifiers

PMID42909963
PMCPMC13684809

What OpenQuestion holds

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Registered trials

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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.