Evidence map›Paper›PMID 40652770›Full record

ArticleTranslational oncology2025

Systemic and tumor-specific inflammatory markers VCAM-1 and ICAM-1 as indicators of extent of surgery and oncologic outcome in advanced ovarian cancer.

Okan Gultekin, Jordi Gonzalez-Molina, Dhifaf Sarhan, Nina Groes-Kofoed, Mahmood Ul Hassan, Kaisa Lehti, Sahar Salehi

Registry-linked trialAbstract read
In one paragraph

Article in Translational oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04065009 (A Randomized Double Blind, Multicenter Trial to Assess Time-interval Between Cytoreductive Surgery and Adjuvant Chemotherapy After Administration of Local Anesthetic Intraperitoneally/Perioperatively in Advanced Epithelial Ovarian Cancer), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT04065009 phase3active not recruitingnot on this map

A Randomized Double Blind, Multicenter Trial to Assess Time-interval Between Cytoreductive Surgery and Adjuvant Chemotherapy After Administration of Local Anesthetic Intraperitoneally/Perioperatively in Advanced Epithelial Ovarian Cancer

TypeinterventionalSponsorKarolinska InstitutetRan2020 to 2028Enrolled220ConditionsAdvanced Ovarian CancerArmsRopivacaine, Saline Solution
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

7 authors.

Okan GultekinDepartment of Women's and Children's Health, division of Obstetrics and Gynecology, Karolinska Institutet, Stockholm, Sweden. Electronic address: okan.gultekin@ki.se.
Jordi Gonzalez-MolinaDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Dhifaf SarhanDepartment of Laboratory Medicine, Division of Pathology, Karolinska Institutet, Stockholm, Sweden.
Nina Groes-KofoedDepartment of Women's and Children's Health, division of Obstetrics and Gynecology, Karolinska Institutet, Stockholm, Sweden; Department of Pelvic Cancer, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden.
Mahmood Ul HassanDivision of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Kaisa LehtiDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden; Department of Biomedical Laboratory Science, Norwegian University of Science and Technology/NTNU, Trondheim, Norway.
Sahar SalehiDepartment of Women's and Children's Health, division of Obstetrics and Gynecology, Karolinska Institutet, Stockholm, Sweden; Department of Pelvic Cancer, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden. Electronic address: sahar.salehi@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCytoreductive surgery in advanced ovarian cancer presents significant challenges and there is a need for an improved patient selection to surgical treatment. Cytokines and adhesion molecules are key regulators of immune responses, playing crucial roles in tumor cell adhesion, metastasis, and immune evasion. They shape the tumor microenvironment and influence systemic immunity, ultimately affecting cancer progression. Despite their recognized significance in cancer biology, the potential of cytokines as predictive biomarkers for surgical complexity and recurrence in ovarian cancer remains insufficiently characterized. This study aimed to elucidate the correlation between inflammatory cytokines and surgical outcomes, to identify reliable liquid or tissue-based biomarkers that could enhance patient stratification and support preoperative decision-making in ovarian cancer management.

methodsThe Concentration of 10 inflammatory cytokines and 2 adhesion molecules concentrations were measured by Luminex based assay in blood, tumor tissue, and ascitic fluid samples from patients with advanced ovarian cancer prior to cytoreductive surgery. Clinical data were prospectively collected. Correlations between cytokines and adhesion molecules levels and surgical complexity, as well as disease/cancer recurrence, were assessed using Pearson two-tail statistical test analyses. The association between adhesion molecules and surgical extent, and recurrence was analysed using logistic regression yielding odds ratios (OR) with 95 % confidence intervals, adjusted for relevant covariates. The diagnostic accuracy of biomarker candidates was evaluated using receiver operating characteristic (ROC) curve analysis

resultsIn blood, higher VCAM-1 and ICAM-1 levels correlated with lower surgical complexity scores, while ascitic VCAM-1 was linked to longer surgical durations. CXCL-12 in tumor and IL-32 in ascites were positively correlated with increased surgery duration, indicating their role in systemic inflammation. Elevated VCAM-1 and ICAM-1 levels in tumor tissue were strongly associated with increased cancer recurrence risk, suggesting their involvement in metastasis and immune evasion. Traditional preoperative markers, including albumin and CRP, did not correlate significantly with surgical complexity, highlighting the need for novel biomarkers. In the adjusted multivariable regression model, VCAM-1 in blood was associated with recurrence, OR 10.1 (95 % CI, 1.30-77.8; p=0.027). Similarly, VCAM-1 in blood demonstrated exceptional predictive capability, Area Under Curve=0.886 with cutoff point of 0.696.

conclusionsInflammatory markers can serve as valuable predictors of surgical complexity and recurrence in advanced ovarian cancer. Particularly the levels of VCAM-1 in blood was identified as a potential predictive marker to be tested in adequately powered clinical studies. Incorporating these markers into preoperative assessments could improve surgical planning and enhance patient stratification. Further validation and mechanistic studies are needed to fully understand their role in ovarian cancer progression.

trial registrationClinicalTrials.gov nr: NCT04065009, European Union Clinical Trials Register nr: 2019-003299-38/SE.

Indexed as

Advanced ovarian cancerBiomarkerCytoreductive surgerySurgical complexity

Identifiers

PMID40652770
PMCPMC12302516

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.