Unveiling the crucial bacterial component in one of the most debilitating side effects of cancer treatment
Imagine that every cancer-fighting treatment could trigger a side effect so painful that patients cannot eat or speak. This condition exists and is called oral mucositis, a severe inflammation of the oral mucosa that affects up to 80% of patients undergoing aggressive chemotherapy or radiotherapy 3 5 .
What for years was considered simply a consequence of cellular damage from oncology treatments now reveals a crucial bacterial component. Among the multiple microorganisms that inhabit our mouth, Staphylococcus spp. have emerged as unexpected protagonists in the development and complication of this debilitating condition, especially in elderly, systemically weakened, or immunologically compromised patients 1 .
80%
of patients undergoing aggressive cancer therapy develop oral mucositis
$17,000+
Additional cost per patient in some cases 5
Oral mucositis represents a substantial economic burden for healthcare systems, extending hospital stays and requiring specialized care.
Our oral cavity harbors the second most diverse microbiota in the human body, with approximately 500 to 700 identified bacterial species, in addition to fungi, viruses, and other microorganisms 4 7 . This ecosystem maintains a delicate balance between resident microorganisms and the host's immune system.
Under normal conditions, staphylococci are not predominant inhabitants of the healthy mouth. However, recent research has detected their presence in supra and subgingival dental plaque in both children and adults, suggesting that the oral cavity may serve as a potential reservoir for infections elsewhere in the body 1 .
Oral mucositis is an inflammatory response of mucosal epithelial cells to the cytotoxic effects of chemotherapy and radiotherapy 1 . It is characterized by:
In oral, esophageal, and/or gastrointestinal mucosa
Dysphagia (difficulty swallowing) and speech impairment
Of systemic infections and sepsis
That may not respond even to opioids
Staphylococci are spherical Gram-positive bacteria that divide forming clusters similar to grapes 1 . There are more than 30 species within this genus, although most staphylococcal infections are caused by Staphylococcus aureus 1 .
These microorganisms have a wide distribution in nature and are not essentially human parasites, also being found in food, inanimate objects, and other animals. In humans, they establish themselves primarily on the skin, but under specific conditions they can colonize the oral cavity and become pathogenic 1 .
Staphylococcus aureus colonies on culture medium
The participation of staphylococci in oral mucositis goes beyond a simple opportunistic infection. Recent research suggests that these microorganisms can activate and exacerbate the inflammatory response characteristic of mucositis through several mechanisms:
An innovative study used MALDI-TOF mass spectrometry to identify salivary microorganisms in patients with oral squamous cell carcinoma (OSCC), providing valuable insights into microbial changes associated with pathological conditions of the oral mucosa 2 .
The experimental procedure was developed in several stages:
3 mL of saliva were collected from 13 OSCC patients and 19 healthy controls, with average ages of 55 years.
Samples were cultured on brain heart infusion (BHI) agar for approximately 4 days.
Bacterial colonies underwent centrifugation and were resuspended in formic acid and acetonitrile.
UltrafleXtreme MALDI-TOF mass spectrometer operating in linear positive ion mode was used.
Obtained mass spectra were compared with Biotyper 3.1 database for identification.
| Characteristic | OSCC Group (n=13) n (%) | Control Group (n=19) n (%) |
|---|---|---|
| Gender | ||
| Male | 9 (69%) | 15 (79%) |
| Female | 4 (31%) | 4 (21%) |
| Smoking Habit | ||
| Smoker | 10 (77%) | 2 (10%) |
| Non-smoker | 3 (23%) | 10 (53%) |
| Ex-smoker | — | 7 (37%) |
| OSCC Stage | ||
| I | 3 (23%) | — |
| II | 2 (15%) | — |
| III | 1 (8%) | — |
| IV | 7 (54%) | — |
The results revealed significant differences in microbial profiles between OSCC patients and healthy controls, particularly regarding bacteria with pathogenic potential.
| Microorganisms Identified | OSCC Group n (%) | Control Group n (%) | p-value |
|---|---|---|---|
| Arthrobacter gandavensis | 1 (8%) | — | 0.2193 |
| Candida albicans | 1 (8%) | — | 0.2193 |
| Enterococcus faecalis | 1 (8%) | — | 0.2193 |
| Filifactor villosus | 1 (8%) | — | 0.2193 |
| Rothia aeria | — | 5 (26%) | 0.0441* |
| Rothia dentocariosa | 3 (23%) | 1 (5%) | 0.1349 |
| Rothia mucilaginosa | 8 (61%) | 15 (79%) | 0.2837 |
| Staphylococcus aureus | 3 (23%) | — | 0.0255* |
| Streptococcus mitis | 10 (77%) | 17 (89%) | 0.3444 |
* Statistically significant difference (p < 0.05)
23%
of OSCC patients had Staphylococcus aureus in their oral microbiome
This statistically significant difference (p=0.0255) suggests an association between the presence of this bacterium and pathological conditions of the oral mucosa.
The most relevant finding for our topic was the detection of Staphylococcus aureus in 23% of OSCC patients, while it was completely absent in the healthy control group 2 . This difference was statistically significant (p=0.0255), suggesting an association between the presence of this bacterium and pathological conditions of the oral mucosa.
Additionally, a notable decrease in Rothia aeria was observed in the patient group (0% vs 26% in controls), a bacterial genus considered a beneficial commensal in the oral cavity.
Modern research of the oral microbiome and its relationship with conditions like mucositis requires sophisticated technologies and standardized protocols.
| Reagent/Material | Function in Research |
|---|---|
| MALDI-TOF Mass Spectrometer | Accurate identification of microorganisms based on protein profiles 2 |
| Brain Heart Infusion (BHI) Agar | Culture medium for growth and morphological separation of bacteria 2 |
| α-cyano-4-hydroxycinnamic acid | Matrix for sample ionization in MALDI-TOF spectrometry 2 |
| Formic acid and acetonitrile | Solvents for bacterial protein extraction for MALDI-TOF analysis 2 |
| Automated systems (BD Phoenix) | Automated antimicrobial susceptibility testing |
| Culture media (Columbia agar) | Cultivation of Gram-positive and Gram-negative bacteria from clinical samples |
MALDI-TOF technology allows for rapid and accurate identification of bacterial species based on their unique protein fingerprints, revolutionizing microbiological diagnostics.
Consistent sample collection, processing, and analysis methods ensure reproducible results across different research studies and clinical settings.
Findings on the role of Staphylococcus spp. in oral mucositis are opening new avenues for preventive and therapeutic strategies. Risk quantification using artificial intelligence tools represents one of the most promising advances.
Researchers at the University of Buffalo have developed a nomogram model that uses explainable artificial intelligence to predict which patients are at higher risk of developing severe mucositis, incorporating variables such as age, gender, total body irradiation, and fluid/electrolyte disorders 3 .
Instead of simply eliminating bacteria with broad-spectrum antibiotics, new strategies focus on modulating the microbiome to restore ecological balance. This includes:
Specific for the oral cavity to restore beneficial bacteria
From healthy donors to restore balanced microbial communities
That favor the growth of beneficial bacteria
Targeting staphylococcal pathogenicity without killing commensals
The accumulated scientific evidence forces us to reconsider oral mucositis not as a simple consequence of epithelial damage from oncology treatments, but as a complex process where the interaction between the host and their microbiome plays a fundamental role.
Staphylococcus spp., particularly S. aureus, emerge as key players in this scenario, transforming from occasional inhabitants of the mouth to active participants in the pathogenesis of mucositis, especially in immunocompromised patients.
Understanding these mechanisms not only allows us to develop more effective treatments, but also personalized preventive strategies that could significantly improve the quality of life of oncology patients and reduce complications associated with their treatments.
Future research in this field promises to further unravel the complex relationships between our oral microbiome and systemic health, opening the door to more precise and less invasive interventions for one of the most debilitating conditions associated with cancer therapy.
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