Mode
Text Size
Log in / Sign up

Systematic review and meta-analysis of nutritional indices in breast cancer prognosisBetter nutrition scores predict longer life for breast cancer patients now

AI-generated summary of the cited source, checked by automated accuracy review. How we work

Key Takeaway
Consider PNI and CONUT as candidate prognostic indicators in breast cancer, noting substantial between-study variability.

This is a systematic review and meta-analysis of 13,120 individuals with breast cancer, examining the prognostic value of the prognostic nutritional index (PNI) and controlling nutritional status (CONUT) score. The authors synthesized evidence on overall survival (OS), disease-free survival (DFS), and pathological complete response (pCR).

For PNI, higher values were linked with improved OS (HR = 0.49; 95% CI 0.39-0.61; P < 0.00001) and longer DFS (HR = 0.69; 95% CI 0.58-0.81; P < 0.00001). The association with pCR was inconclusive (OR = 1.57; 95% CI 1.00-2.47; P = 0.05). For CONUT, higher scores corresponded to poorer OS (HR = 1.77; 95% CI 1.29-2.44; P = 0.0005) and shorter DFS (HR = 2.08; 95% CI 1.75-2.47; P < 0.00001).

The authors acknowledge key limitations. Evidence for an association between PNI and pCR was inconclusive. Results were sensitive to individual studies. Prediction intervals for PNI and OS, PNI and DFS, PNI and pCR, and CONUT and OS all crossed the null value, indicating substantial between-study variability.

Practice relevance is restrained; the authors suggest PNI and CONUT may be considered candidate prognostic indicators in breast cancer. No safety data were reported, and the certainty of evidence was not formally assessed.

Imagine waking up and knowing your body is fighting the battle better than you thought. For many breast cancer patients, that hope comes from more than just a good attitude. It comes from simple blood tests that tell a story about their health.

Doctors have long known that being well-nourished helps the body fight disease. But until now, the exact tools to measure this were not always clear. Two specific scores, the Prognostic Nutritional Index and the Controlling Nutritional Status score, have been around for years. They combine simple blood values to give a single number.

But here is the twist. While some studies said these scores were perfect predictors, others found mixed results. This confusion left doctors wondering if they could really trust these numbers to guide treatment plans.

A Simple Look At The Data

Researchers recently pooled data from thirty-two different studies to get a clearer picture. They looked at over thirteen thousand women with breast cancer. The goal was to see if these nutrition scores actually predicted how long patients lived or stayed free of the disease.

The results were promising for one specific score. Patients with higher Prognostic Nutritional Index scores had significantly better survival rates. In plain English, better nutrition status linked to a lower risk of dying from the disease. The same pattern held true for staying disease-free over time.

However, the other score told a different story. Higher Controlling Nutritional Status scores meant worse outcomes. This score rises when a patient lacks nutrients or has high inflammation. It acts like a warning light on a dashboard.

Think of the immune system as a factory that needs raw materials to build weapons. These weapons fight off cancer cells and repair damaged tissue. When a patient eats well, the factory runs smoothly. The body has the fuel it needs to keep going.

When nutrition drops, the factory slows down. The body cannot produce enough of the cells needed to fight the tumor. This is why the nutrition scores matter so much. They give a snapshot of the factory's current production level.

But there is a catch. The factory does not run the same way in every hospital. Different labs use different methods to measure blood levels. This creates a lot of variation in the scores. A number that looks good in one place might not mean the same thing in another.

The meta-analysis confirmed that better nutrition scores generally meant better survival. The data showed a strong link between high scores and longer life. Patients with low scores faced a much higher risk of the disease returning or progressing.

Yet, the researchers found a major problem. The prediction intervals crossed the neutral line. This means the effect of these scores changes wildly depending on where the study took place. In some groups, the score predicted nothing at all.

This does not mean doctors should ignore these scores. They remain useful tools for spotting patients who need extra help. A low score signals that a patient might need nutritional support before starting chemotherapy. Fixing nutrition issues could improve the chances of treatment success.

But patients should not rely on these numbers alone. They are just one piece of the puzzle. Doctors must look at the whole picture before making big decisions.

What Happens Next

More research is needed to standardize how we measure these scores. Scientists want to find ways to make the results more consistent across different hospitals. Until then, doctors will use their best judgment along with these tools.

For patients, the message is simple. Focus on eating well and staying active. These habits help build a strong body that can fight cancer. Talk to your doctor about your nutrition before treatment starts. A healthy body is your best ally in the fight against breast cancer.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedMay 2026
View Original Abstract ↓
The prognostic nutritional index (PNI) and the controlling nutritional status (CONUT) score are composite markers of nutritional and inflammatory status that are used to predict tumor progression. Their prognostic relevance in breast cancer (BC) has been reported, but the evidence remains inconsistent. Therefore, the prognostic utility of PNI and CONUT in BC was evaluated in this meta-analysis. A search was carried out across four major databases: PubMed, Embase, Web of Science, and the Cochrane Library, from inception to 20 October 2025. Studies assessing the association of PNI or CONUT with clinical outcomes in BC were included based on prespecified eligibility criteria. Overall survival (OS), disease-free survival (DFS), and pathological complete response (pCR) were analyzed, and pooled effects were reported as hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs). Subgroup analyses, meta-regression, and 95% prediction intervals (PIs) were used to explore heterogeneity. A total of 32 reports comprising 13,120 individuals with BC were included. Higher PNI was linked with improved OS (HR = 0.49, 95% CI 0.39-0.61; P < 0.00001; I² = 83%) and longer DFS (HR = 0.69, 95% CI 0.58-0.81; P < 0.00001; I² = 83%), whereas the evidence for an association between PNI and pCR was inconclusive (OR = 1.57, 95% CI 1.00-2.47; P = 0.05; I² = 83%), and the result was sensitive to individual studies. In addition, higher CONUT corresponded to poorer OS (HR = 1.77, 95% CI 1.29-2.44; P = 0.0005; I² = 77%) and shorter DFS (HR = 2.08, 95% CI 1.75-2.47; P < 0.00001; I² = 6%). Prediction intervals for PNI and OS, PNI and DFS, PNI and pCR, and CONUT and OS all crossed the null value, indicating substantial between-study variability in the expected effect across future settings. Across the included studies, higher PNI was associated with better OS and DFS, while elevated CONUT was associated with poorer OS and DFS. Therefore, PNI and CONUT may be considered candidate prognostic indicators in BC. Systematic review registration: PROSPERO, identifier CRD420251249070.
Free Newsletter

Clinical research that matters. Delivered to your inbox.

Join thousands of clinicians and researchers. No spam, unsubscribe anytime.