Evidence map›Paper›PMID 34404434›Full record

ReviewJournal of hematology & oncology2021

Targeting the tumor microenvironment in B-cell lymphoma: challenges and opportunities.

Yingyue Liu, Xiangxiang Zhou, Xin Wang

Open access · goldAbstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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

96 citing papers in PubMed, 1 synthesis or guideline pooled it, 129 citations in OpenAlex.

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36 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

3 authors at 1 institution in 1 country.

Yingyue LiuDepartment of Hematology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China.
Xiangxiang ZhouDepartment of Hematology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China. zhouxiangxiang90@163.com.ORCID 0000-0003-0725-716X
Xin WangDepartment of Hematology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China. xinw007@126.com.
Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

B-cell lymphoma is a group of hematological malignancies with high clinical and biological heterogeneity. The pathogenesis of B-cell lymphoma involves a complex interaction between tumor cells and the tumor microenvironment (TME), which is composed of stromal cells and extracellular matrix. Although the roles of the TME have not been fully elucidated, accumulating evidence implies that TME is closely relevant to the origination, invasion and metastasis of B-cell lymphoma. Explorations of the TME provide distinctive insights for cancer therapy. Here, we epitomize the recent advances of TME in B-cell lymphoma and discuss its function in tumor progression and immune escape. In addition, the potential clinical value of targeting TME in B-cell lymphoma is highlighted, which is expected to pave the way for novel therapeutic strategies.

Indexed as

Tumor EscapeTumor MicroenvironmentAnimalsAntineoplastic AgentsB-LymphocytesDrug DiscoveryHumansImmunotherapyLymphoma, B-CellMolecular Targeted TherapyAntineoplastic AgentsB-cell lymphomaImmunosuppressionTargeted therapyTumor microenvironment

Identifiers

PMID34404434
PMCPMC8369706
OpenAlexW3193468648

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.