Meta-omics analysis indicates the saliva microbiome and its proteins associated with the prognosis of oral cancer patients

Granato, Daniela Campos; Neves, Leandro Xavier; Trino, Luciana D.; Carnielli, Carolina Moretto; Lopes, Ariane F.B.; Yokoo, Sami; Pauletti, Bianca Alves; Domingues, Romênia R.; Sá, Jamile Oliveira; Persinoti, Gabriella; Paixão, Douglas Antônio Alvaredo; Rivera, César; Patroni, Fabio M. de Sá; Tommazetto, Geizecler; Santos‐Silva, Alan Roger; Lopes, Márcio Ajudarte; Castro, Gilberto de; Brandão, Thaís Bianca; Prado‐Ribeiro, Ana Carolina; Squina, Fábio M.; Telles, Guilherme P.; Leme, Adriana Franco Paes

doi:10.1016/j.bbapap.2021.140659

Cited by 26 publications

(36 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies were conducted between 2005–2021 and they were based in the following countries: US ( n = 10), Taiwan ( n = 5), China ( n = 5), India ( n = 3), Japan ( n = 2), Malaysia ( n = 1), Australia ( n = 1), Sri Lanka ( n = 1), New Zealand ( n = 1), Colombia ( n = 1), Hong Kong ( n = 1), Poland ( n = 1), Brazil ( n = 1), and France ( n = 1). The samples were obtained from patients with HNSCC, of which OSCC was the most frequently studied tumor [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 ]. The studies also included samples from the following: oropharyngeal squamous cell carcinoma (OPSCC) [ 21 , 43 ], gingival squamous cell carcinoma (GSCC) [ 44 ]; unspecified oral cavity cancer (OCC) (45); oropharyngeal cancers (OPC) [ 45 ]; nasopharyngeal carcinoma (NPC) [ 46 ]; unspecified HNSCCs [ 47 , 48 , 49 , 50 , 51 ].…”

Section: Resultsmentioning

confidence: 99%

“…Granato et al conducted a comparison of oral microbiota in OSCC patients before (L0) and after (L1) surgical excision [ 36 ]. Compared with the healthy controls, genera Abiotrophia , Acinetobacter , Alloscordovia , Dialister , Gemella , Granulicatella , Peptostreptococcus , Selenomonas , Staphylococcus , and Stenotrophomonas were considerably higher in both L0 and L1 patients.…”

Section: Resultsmentioning

confidence: 99%

“…On the other hand, genera Veillonella , Rothia , Moryella , Kingella , and Centipeda were reduced in both groups. However, L1 patients had higher Alloscordovia and reduced Veillonella levels compared to L0 patients [ 36 ]. Very recently, Su et al identified significant alterations in the bacterial diversity and relative abundance of specific oral microbiota with the most profound finding was the enrichment of Fusobacterium and the loss of Streptococcus in the OSCC [ 40 ].…”

Section: Resultsmentioning

confidence: 99%

“…A possible involvement of oral microbiota in dictating the progression of HNSCC was reported in seven studies [ 26 , 27 , 31 , 36 , 37 , 47 , 49 ]. For instance, Fusobacteria was increased during tumor development from stages 1 to 4 in patients with OSCC [ 26 ].…”

Section: Resultsmentioning

confidence: 99%

“…Higher levels of Fusobacterium [ 49 ], Rothia [ 31 ], and Actinomyces [ 47 ] were associated with a lower T-stage, whereas Parvimonas was decreased in this stage [ 47 ] and amount of Peptostreptococcus positively related to a higher stage [ 49 ]. Veillonella was inversely correlated with clinical tumor size, lesion, and clinical stage of OSCC patients [ 36 ]. Recently, Neuzillet et al reported that positivity of F. nucleatum was associated with a lower T-stage of OSCC.…”

Section: Resultsmentioning

confidence: 99%

See 4 more Smart Citations

Oral Microbiota—A New Frontier in the Pathogenesis and Management of Head and Neck Cancers

Metsäniitty

Hasnat

Salo

et al. 2021

Cancers

View full text Add to dashboard Cite

Head and neck squamous cell carcinoma (HNSCC) comprises the majority of tumors in head and neck tissues. The prognosis of HNSCC has not significantly improved for decades, signifying the need for new diagnostic and therapeutic targets. Recent evidence suggests that oral microbiota is associated with carcinogenesis. Thus, we conducted a comprehensive systematic review to evaluate the current evidence regarding the role of oral microbiota in HNSCC and whether their targeting may confer diagnostic, prognostic or therapeutic utility. Following the screening of 233 publications retrieved from multiple databases, 34 eligible studies comprising 2469 patients were compiled and critically appraised. Importantly, many oral pathogens, such as Porphyromonas gingivalis and Fusobacterium nucleatum were linked to certain oral potentially malignant lesions and various types of HNSCC. Furthermore, we summarized the association between the expression profiles of different oral bacterial species and their tumorigenic and prognostic effects in cancer patients. We also discussed the current limitations of this newly emerging area and the potential microbiota-related strategies for preventing and treating HNSCC. Whilst many clinical studies are underway to unravel the role of oral microbiota in cancer, the limited available data and experimental approaches reflect the newness of this promising yet challenging field.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Oral Microbiota—A New Frontier in the Pathogenesis and Management of Head and Neck Cancers

Metsäniitty

Hasnat

Salo

et al. 2021

Cancers

View full text Add to dashboard Cite

show abstract

The potential value of oral microbial signatures for prediction of oral squamous cell carcinoma based on machine learning algorithms

He,

Cao,

Zhuang

et al. 2024

Head & Neck

View full text Add to dashboard Cite

ObjectiveThis study aimed to explore the potential predictive value of oral microbial signatures for oral squamous cell carcinoma (OSCC) risk based on machine learning algorithms.MethodsThe oral microbiome signatures were assessed in the unstimulated saliva samples of 80 OSCC patients and 179 healthy individuals using 16S rRNA gene sequencing. Four different machine learning classifiers were used to develop prediction models.ResultsCompared with control participants, OSCC patients had a higher microbial dysbiosis index (MDI, p < 0.001). Among four machine learning classifiers, random forest (RF) provided the best predictive performance, followed by the support vector machines, artificial neural networks and naive Bayes. After controlling the potential confounders using propensity score matching, the optimal RF model was further developed incorporating a minimal set of 20 bacteria genera, exhibiting better predictive performance than the MDI (AUC: 0.992 vs. 0.775, p < 0.001).ConclusionsThe novel MDI and RF model developed in this study based on oral microbiome signatures may serve as noninvasive tools for predicting OSCC risk.

show abstract

Microbial “OMICS” in Oral Cancer

Khan,

Sinha,

Dixit

2022

Microbes and Oral Squamous Cell Carcinoma

View full text Add to dashboard Cite

Meta-omics analysis indicates the saliva microbiome and its proteins associated with the prognosis of oral cancer patients

Cited by 26 publications

References 65 publications

Oral Microbiota—A New Frontier in the Pathogenesis and Management of Head and Neck Cancers

Oral Microbiota—A New Frontier in the Pathogenesis and Management of Head and Neck Cancers

The potential value of oral microbial signatures for prediction of oral squamous cell carcinoma based on machine learning algorithms

Microbial “OMICS” in Oral Cancer

Contact Info

Product

Resources

About