Glowing biomarkers form a breast cancer ribbon.

Breast Cancer Prognosis: Can Inflammatory Markers Help?

"New research explores how combining inflammatory biomarkers might improve breast cancer prognosis, offering insights for personalized treatment strategies."


In the fight against cancer, understanding how a disease will progress is just as crucial as the initial diagnosis. This understanding, known as prognosis, helps doctors determine the best course of action, balancing aggressive treatments with the need to avoid unnecessary interventions. While much focus has been on the characteristics of the tumor cells themselves, the role of the body's own inflammatory response is increasingly being recognized as a key factor.

Inflammation, often seen as a negative consequence of disease, is actually a complex process where the body attempts to fight off threats. However, in cancer, this inflammatory response can sometimes be misdirected, inadvertently supporting tumor growth and spread. Scientists are exploring ways to measure and interpret this inflammatory activity using biomarkers—measurable substances in the body that indicate a particular state or condition.

One such biomarker is neopterin, which is found in urine or serum. High levels of neopterin are associated with various disorders, including cancers and autoimmune diseases. Other biomarkers are derived from simple blood tests, such as the neutrophil-to-lymphocyte ratio (NLR), which reflects the balance between different types of immune cells. Researchers are now investigating whether combining these biomarkers into composite indices can provide a more accurate and nuanced picture of a patient's prognosis.

Decoding Inflammatory Biomarkers: What the Research Shows

Glowing biomarkers form a breast cancer ribbon.

A recent study delved into the potential of combining various inflammatory markers to predict the prognosis of breast cancer patients. The study, which involved analyzing data from 418 patients, explored several composite biomarkers, including:

  • Neutrophil-to-lymphocyte ratio (NLR): A measure of the balance between neutrophils (a type of white blood cell involved in inflammation) and lymphocytes (immune cells that fight infection).
  • Lymphocyte-to-monocyte ratio (LMR): The ratio of lymphocytes to monocytes, another type of immune cell.
  • Platelet-to-lymphocyte ratio (PLR): The ratio of platelets (involved in blood clotting and inflammation) to lymphocytes.
  • Systemic inflammatory index (SII): A composite score incorporating platelet, neutrophil, and lymphocyte counts.
  • Glasgow prognostic index (GPI) and modified Glasgow prognostic index (mGPI): Scores based on albumin and C-reactive protein (CRP) levels, reflecting systemic inflammation.
  • Prognostic nutritional index (PNI): An index incorporating albumin levels and lymphocyte count, reflecting both nutritional status and immune function.
  • C-reactive protein/albumin ratio: The ratio of CRP to albumin, indicating the balance between inflammation and nutritional status.

Other complex calculations included products of CRP, neopterin, ratios involving hemoglobin, and more. The goal was to determine if any of these combinations could provide a clearer prognostic picture than individual markers alone.
The study found that while many of the individual indices were associated with survival in initial analyses, only age and cancer stage were significant predictors of survival when all factors were considered together. However, in patients evaluated before starting treatment, age, stage, and urinary neopterin levels were significant predictors. This underscores the importance of neopterin as a prognostic biomarker in breast cancer. Interestingly, there was no strong correlation between neopterin and the PBC-derived ratios, suggesting they reflect different aspects of the inflammatory response. This opens the door for future research to explore how these different pathways interact and influence cancer progression.

The Future of Breast Cancer Prognosis: A Personalized Approach

While this particular study didn't identify new composite biomarkers that outperformed existing measures, it reinforces the complexity of the inflammatory response in cancer and highlights the continued importance of neopterin as a prognostic marker.

The lack of correlation between neopterin and PBC-derived ratios also suggests that these markers may reflect different aspects of the inflammatory response, opening avenues for future research to explore how these pathways interact and influence cancer progression. Future studies should aim to define a cutoff and validate these findings in prospective studies. The tumor microenvironment can play a key role.

Ultimately, the goal is to develop more personalized approaches to cancer treatment, where a patient's unique inflammatory profile can be used to tailor therapy and improve outcomes. By continuing to investigate and refine our understanding of these biomarkers, we can move closer to a future where cancer treatment is more effective and less burdensome for patients.

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This article is based on research published under:

DOI-LINK: 10.1515/pterid-2017-0005, Alternate LINK

Title: Comparison Of Performance Of Composite Biomarkers Of Inflammatory Response In Determining The Prognosis Of Breast Cancer Patients

Subject: Clinical Biochemistry

Journal: Pteridines

Publisher: Walter de Gruyter GmbH

Authors: Bohuslav Melichar, Denisa Vitásková, Marie Bartoušková, Lenka Javorská, Lenka Kujovská Krčmová, Eliška Pešková, Radomír Hyšpler, Dagmar Solichová, Klára Hrůzová, Hana Študentová

Published: 2017-08-01

Everything You Need To Know

1

What inflammatory markers are being explored for predicting breast cancer outcomes?

In breast cancer prognosis, scientists are exploring various inflammatory biomarkers like neopterin, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), systemic inflammatory index (SII), Glasgow prognostic index (GPI), modified Glasgow prognostic index (mGPI), prognostic nutritional index (PNI), and C-reactive protein/albumin ratio. The study aimed to determine if combining these markers could offer a more precise prediction of a patient's outcome compared to using individual markers alone. However, beyond the research context, it is important to consult with a medical professional for personalized advice, diagnosis, and treatment.

2

What is neopterin, and why is it relevant to breast cancer prognosis?

Neopterin is a biomarker found in urine or serum. Elevated levels of neopterin are associated with various conditions, including cancers and autoimmune diseases. A study showed urinary neopterin levels as significant predictors, underscoring its importance as a prognostic biomarker in breast cancer. The study did not find a strong correlation between neopterin and PBC-derived ratios, suggesting they reflect different aspects of the inflammatory response.

3

What do ratios like neutrophil-to-lymphocyte ratio (NLR) tell us about the body's response to breast cancer?

The neutrophil-to-lymphocyte ratio (NLR) is a measure of the balance between neutrophils and lymphocytes, both of which are types of white blood cells involved in the immune response. Other ratios, such as the lymphocyte-to-monocyte ratio (LMR) and platelet-to-lymphocyte ratio (PLR), similarly reflect the balance between different immune cell types. These ratios are investigated to see if they can provide insights into a patient's prognosis in breast cancer and how the inflammatory response influences cancer progression.

4

What are composite biomarkers, and how are they used in breast cancer prognosis?

Composite biomarkers, such as the systemic inflammatory index (SII), Glasgow prognostic index (GPI), modified Glasgow prognostic index (mGPI), prognostic nutritional index (PNI), and C-reactive protein/albumin ratio, combine multiple individual markers to create a more comprehensive assessment of a patient's condition. While initial analyses may show associations with survival, factors like age and cancer stage can be more significant predictors when all factors are considered together. The study revealed that none of the composite biomarkers tested outperformed existing measures, indicating the complexity of the inflammatory response in cancer.

5

If composite biomarkers didn't outperform existing measures, what does that mean for the future of breast cancer prognosis?

While research continues to explore composite biomarkers, existing measures like age, cancer stage, and urinary neopterin levels remain significant predictors of breast cancer prognosis. The absence of new, superior composite biomarkers highlights the complexity of the inflammatory response in cancer. Future research is needed to understand how different inflammatory pathways interact and influence cancer progression, potentially leading to more personalized and effective treatment strategies. Personalized treatment approaches should always involve consultation with medical professionals.

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