Evidence map›Paper›PMID 41040908›Full record

ReviewOncology letters2025

Discoidin domain receptor tyrosine kinase 2: A new perspective on microenvironment remodeling and targeted therapy of solid tumors (Review).

Tong Lu, Huiying Guo, Hang Gong, Yaohui Ma, Yonggang Tian, Dekui Zhang

Abstract readReview
In one paragraph

Review in Oncology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Tong LuDepartment of Gastroenterology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Huiying GuoEmergency Intensive Care Unit, Jining No. 1 People's Hospital, Jining, Shandong 272000, P.R. China.
Hang GongDepartment of Gastroenterology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Yaohui MaDepartment of Gastroenterology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Yonggang TianDepartment of Gastroenterology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Dekui ZhangDepartment of Gastroenterology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, Gansu 730000, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is one of the major areas on which global medical research and treatment development are currently focused. There has been an increasing incidence of several types of cancer, such as breast cancer, pancreatic cancer, uterine cancer, prostate cancer, liver cancer, kidney cancer, human papillomavirus-associated oral cancer and melanoma. Advancements in biomedical research have expanded treatment options for numerous cancers; however, an ideal or definitive cure remains elusive. Therefore, identifying novel targets for cancer treatment has become a major area of research in biomedicine. Due to its involvement in several human diseases and tumor progression, discoidin domain receptor tyrosine kinase 2 (DDR2) has attracted considerable attention. The present review synthesizes findings from previous studies and highlights the recent advances in DDR2 research, assesses its role across different types of tumors and evaluates its emerging significance in multiple biomedical fields.

Indexed as

cancerdiscoidin domain receptor tyrosine kinase 2inhibitormechanismsolid tumor

Identifiers

PMID41040908
PMCPMC12486371

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.