# Glycemic trajectories of fasting blood glucose on the pathological responses in breast cancer women with and without concomitant diabetes

**Authors:** Saba Javed, Umar Javed, Dzul Azri Mohamed Noor, Nur Hafzan Md Hanafiah, Tanveer Mustafa, Anees ur Rehman, Sabariah Noor Harun

PMC · DOI: 10.1371/journal.pone.0319314 · 2026-03-05

## TL;DR

The study found that changes in fasting blood glucose levels in diabetic breast cancer patients did not affect their response to chemotherapy.

## Contribution

This is the first study to explore how blood glucose patterns affect chemotherapy responses in breast cancer patients with and without diabetes.

## Key findings

- Five distinct glycemic trajectories were identified in breast cancer patients.
- Fluctuations in blood glucose levels were not significantly linked to chemotherapy responses.
- Diabetic patients' glucose levels seem influenced more by metabolic issues than chemotherapy.

## Abstract

Most existing studies have predominantly examined the impact of single blood glucose measurements without considering how fluctuations over time may influence clinical outcomes. Moreover, no studies have yet explored the effect of blood glucose trajectories on pathological responses in breast cancer patients undergoing neo-adjuvant chemotherapy (NACT), highlighting a significant gap in the current literature.

To determine the impact of dynamic changes in blood glucose during neo-adjuvant chemotherapy on the pathological responses in women with breast cancer, with and without concomitant diabetes.

This prospective cohort study was conducted among women with locally advanced breast cancer receiving treatment at GINUM Hospital in Gujranwala, Pakistan. Data for the prospective phase were collected from 20 January 2023 to–13 May 2024. Clinical data were obtained using a structured data collection form. Diabetes status was confirmed at baseline using Glycated hemoglobin (HbA1c) and Fasting blood glucose (FBG) tests. Patients were classified into glycemic trajectories based on the values of their FBG values during the treatment period.

Five blood glucose trajectories were identified from the start of breast cancer treatment to the post-treatment period: normal glycemic trajectory (23 patients, 4.1%), erratic glycemic trajectory (130 patients, 23.2%), consistently hyperglycemic trajectory (127 patients, 22.7%), controlled diabetes (130 patients, 23.2%), and uncontrolled diabetes (150 patients, 26.8%). All glycemic trajectory groups demonstrated a non-significant increase in the odds of achieving Pathological partial response (pPR). Similar to pPR, the various categories of blood glucose trajectories were associated with a non-significant increase in the odds of Pathological no response (pNR). Among nondiabetic patients the group I(normal) and group III (consistently hyperglycemic) trajectories showed no significant interaction with pathological responses, as indicated by repeated measures ANOVA.

Our findings indicated that fluctuations in FBG levels among individuals with diabetes were not associated with pathological responses to neo-adjuvant chemotherapy. This suggests that the rise in blood glucose levels in diabetic patients are more likely driven by their pre-existing metabolic dysfunction rather than their chemotherapy related pathological responses.

## Linked entities

- **Diseases:** breast cancer (MONDO:0004989), diabetes (MONDO:0005015)

## Full-text entities

- **Genes:** INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, ERBB2 (erb-b2 receptor tyrosine kinase 2) [NCBI Gene 2064] {aka CD340, HER-2, HER-2/neu, HER2, MLN 19, MLN-19}
- **Diseases:** hyperglycemic (MESH:D006944), colorectal cancer (MESH:D015179), glycemic disturbances (MESH:D014832), anemia (MESH:D000740), inflammation (MESH:D007249), prostate cancer (MESH:D011471), fibrosis (MESH:D005355), PPR (OMIM:132100), metabolic disturbances (MESH:D024821), SIH (MESH:D006943), metastases (MESH:D009362), Tis (MESH:D000072676), impaired insulin sensitivity (MESH:D007333), mental disorders (MESH:D001523), hypoglycemia (MESH:D007003), infections (MESH:D007239), lung cancer (MESH:D008175), marrow suppression (MESH:D001855), Controlled diabetes (MESH:D003920), weakness (MESH:D018908), Carcinoma in situ (MESH:D002278), 4 cancer (MESH:D009369), fatigue (MESH:D005221), overweight (MESH:D050177), nausea (MESH:D009325), Breast Cancer (MESH:D001943), Obesity (MESH:D009765), TNBC (MESH:D064726), skin cancer (MESH:D012878), stage IIIC (MESH:C566891), vomiting (MESH:D014839), metabolic (MESH:D008659), impaired glucose tolerance (MESH:D018149), necrosis (MESH:D009336)
- **Chemicals:** anthracycline (MESH:D018943), FBG (-), trastuzumab (MESH:D000068878), carbohydrate (MESH:D002241), dexamethasone (MESH:D003907), steroid (MESH:D013256), Glucose (MESH:D005947), blood glucose (MESH:D001786), taxane (MESH:C080625)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12962461/full.md

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Source: https://tomesphere.com/paper/PMC12962461