Evidence map›Paper›PMID 41194086›Full record

ArticleBMC cancer2025

Association between insulin resistance biomarkers and metastatic prognosis in treatment-naïve colorectal cancer patients: a pilot study.

M P Narayanan, Amit Sehrawat, Bela Goyal, Parmod Kumar, Shashank Bansal, Satyanker Gupta, Amit Gupta, Anissa A Mirza, Deepak Sundriyal, Sweety Gupta

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In one paragraph

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

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

M P NarayananDepartment of Biochemistry, All India Institute of Medical Sciences, Rishikesh, India.
Amit SehrawatDepartment of Medical Oncology Haematology, All India Institute of Medical Sciences, Rishikesh, India.
Bela GoyalDepartment of Biochemistry, All India Institute of Medical Sciences, Rishikesh, India. lifeline.bela@gmail.com.
Parmod KumarDepartment of Medical Oncology and Haematology, All India Institute of Medical Sciences, Jodhpur, India.
Shashank BansalDepartment of Medical Oncology and Haematology, All India Institute of Medical Sciences, Bhopal, India.
Satyanker GuptaDepartment of Medical Oncology, American Oncology Institute, Jammu, India.
Amit GuptaDepartment of General Surgery, All India Institute of Medical Sciences, Rishikesh, India.
Anissa A MirzaDepartment of Biochemistry, All India Institute of Medical Sciences, Rishikesh, India.
Deepak SundriyalDepartment of Medical Oncology Haematology, All India Institute of Medical Sciences, Rishikesh, India.
Sweety GuptaDepartment of Radiation Oncology, All India Institute of Medical Sciences, Rishikesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) remains a significant global health burden, ranked among the most common causes of cancer-related fatalities. While insulin resistance (IR) biomarkers have been associated with CRC prognosis, their role in predicting metastasis remains unclear. Metastasis remains a critical determinant of prognosis and treatment planning in CRC. Identifying precise biomarkers can improve CRC management. This study evaluates the prognostic efficacy of lipid-based IR biomarkers in predicting metastasis in treatment-naïve CRC patients and selects the most appropriate one. We also explore their association with clinicopathological characteristics.

methodEighty-seven CRC patients (metastatic, n = 24; non-metastatic, n = 63) from four tertiary hospitals in India were analysed. Clinical data included TNM staging, ECOG-PS, KPS, CEA, and lipid profiles. Statistical tests included Fisher’s exact test, Mann-Whitney U-test, ROC curve analysis, Spearman’s correlation, multiple linear regression, and binary logistic regression.

resultsStatistically significant differences were observed in job status, diet, smoking, alcohol use, diabetes, BMI, and IR markers between metastatic and non-metastatic CRC patients. Among the IR biomarkers, the ratio of LDL to HDL (LHR) demonstrated the highest diagnostic accuracy with an AUC of 0.867 (p < 0.05, CI: 0.79–0.94), a sensitivity of 83.3%, and a specificity of 74.6%. Spearman correlation analysis unveiled a moderate-positive relationship between IR biomarkers and carcinoembryonic antigen (CEA) levels, except for the triglyceride glucose index (TyG). Binary logistic regression identified LHR as the sole significant predictor of metastasis, with a one-unit increase in LHR corresponding to a 19.35% higher likelihood of metastasis. Multiple linear regression confirmed a moderate, significant combined effect of TNM staging, ECOG-PS, KPS, and LHR.

conclusionLHR strongly predicts metastasis in CRC patients, with high sensitivity and specificity among IR biomarkers. Its significant association with TNM staging, ECOG-PS, and CEA levels highlights its potential for early detection of metastasis and improved risk stratification. Larger studies are needed to validate its clinical utility for personalised treatment planning.

Indexed as

Biomarkers, TumorColorectal NeoplasmsInsulin ResistanceAdultAgedCarcinoembryonic AntigenFemaleHumansMaleMiddle AgedNeoplasm MetastasisNeoplasm StagingPilot ProjectsPrognosisROC CurveBiomarkers, TumorCarcinoembryonic AntigenBiomarkerHigh-density lipoproteinInsulin resistanceLow-density lipoproteinMetastatic colorectal cancerPrognosis

Identifiers

PMID41194086
PMCPMC12587521

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