Evidence map›Paper›PMID 40427188›Full record

ReviewCancers2025

Interleukin-6 Is a Crucial Factor in Shaping the Inflammatory Tumor Microenvironment in Ovarian Cancer and Determining Its Hot or Cold Nature with Diagnostic and Prognostic Utilities.

Hina Amer, Katie L Flanagan, Nirmala C Kampan, Catherine Itsiopoulos, Clare L Scott, Apriliana E R Kartikasari, Magdalena Plebanski

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. 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

7 authors.

Hina AmerSchool of Health and Biomedical Sciences, RMIT University, Bundoora, VIC 3082, Australia.ORCID 0000-0002-6359-4956
Katie L FlanaganSchool of Health and Biomedical Sciences, RMIT University, Bundoora, VIC 3082, Australia.ORCID 0000-0002-1575-1953
Nirmala C KampanDepartment of Obstetrics and Gynecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia.
Catherine ItsiopoulosSchool of Health and Biomedical Sciences, RMIT University, Bundoora, VIC 3082, Australia.
Clare L ScottThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.
Apriliana E R KartikasariSchool of Health and Biomedical Sciences, RMIT University, Bundoora, VIC 3082, Australia.ORCID 0000-0002-8115-4866
Magdalena PlebanskiSchool of Health and Biomedical Sciences, RMIT University, Bundoora, VIC 3082, Australia.ORCID 0000-0001-6889-3667

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) remains the leading cause of cancer-related deaths among women, often diagnosed at advanced stages due to the lack of effective early diagnostic procedures. To reduce the high mortality rates in OC, reliable biomarkers are urgently needed, especially to detect OC at its earliest stage, predict specific drug responses, and monitor patients. The cytokine interleukin-6 (IL6) is associated with low survival rates, treatment resistance, and recurrence. In this review, we summarize the role of IL6 in inflammation and how IL6 contributes to ovarian tumorigenesis within the tumor microenvironment, influencing whether the tumor is subsequently classified as "hot" or "cold". We further dissect the molecular and cellular mechanisms through which IL6 production and downstream signaling are regulated, to enhance our understanding of its involvement in OC development, as well as OC resistance to treatment. We highlight the potential of IL6 to be used as a reliable diagnostic biomarker to help detect OC at its earliest stage, and as a part of predictive and prognostic signatures to improve OC management. We further discuss ways to leverage artificial intelligence and machine learning to integrate IL6 into diverse biomarker-based strategies.

Indexed as

artificial intelligencediagnosisdrug resistancehot and cold tumorsimmune evasioninflammationinterleukin 6machine learningmetastasisovarian cancerprognosistumor microenvironment

Identifiers

PMID40427188
PMCPMC12109964

What Socratic 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 Socratic graph.