Evidence map›Paper›PMID 41026295›Full record

ReviewDiscover oncology2025

Role of interleukin-6 in resistance to tumor therapy.

Yumin Liang, Yingjie Shao, Wendong Gu

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. The Red AlgaCurrent issues in molecular biology · 2026
    Article
  3. Review
  4. Review
  5. Progress in Designing Cytokine Antagonist Antibodies for Cancer Therapy.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
  6. Article
  7. Review
  8. Review
  9. Review
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.

Yumin LiangDepartment of Radiation Oncology, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, Changzhou, 213003, China.
Yingjie ShaoDepartment of Radiation Oncology, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, Changzhou, 213003, China. shaoyingjie@suda.edu.cn.
Wendong GuDepartment of Radiation Oncology, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, Changzhou, 213003, China. guwendong1415@czfph.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor therapy resistance presents a significant challenge in cancer treatment. Although substantial strides have been made in the domains of early diagnosis and therapeutic interventions within contemporary medicine, a considerable proportion of patients inevitably encounter resistance to treatment, culminating in therapeutic inefficacy and unfavorable clinical outcomes. Typically, such resistance is exhibited by tumor cells acquiring refractoriness to radiotherapy, chemotherapeutic drugs, targeted agents, and immunotherapeutic modalities. Accumulating data in recent years have increasingly implicated interleukin-6 (IL-6), a pivotal mediator of inflammatory responses, in not only the initiation, advancement, metastatic behavior, and immune escape of tumors but also in the promotion of resistance to various oncologic treatments. This review delineates current findings concerning the involvement of IL-6 in tumor-related therapeutic applications, with emphasis on its impact on prognosis, therapeutic resistance, and potential treatment pathways, aiming to facilitate the strategic integration of IL-6 in the refinement of cancer treatment approaches.

Indexed as

ChemotherapyImmunotherapyInterleukin-6RadiotherapyResistance

Identifiers

PMID41026295
PMCPMC12484520

What OpenQuestion holds

Textmetadata
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.