Quantitative evaluation of SPRR3 expression in esophageal squamous cell carcinoma by qPCR and its potential use as a biomarker

Simão, Tatiana de Almeida; Souza-Santos, Paulo Thiago de; Oliveira, Diego Sá Leal de; Bernardo, Vagner Gonçalves; Lima, Sheila Coelho Soares; Rapozo, Davy; Kruel, Cleber D.P.; Faria, Paulo Antônio Silvestre de; Pinto, Luís Felipe Ribeiro; Albano, Rodolpho Mattos

doi:10.1016/j.yexmp.2011.06.006

Cited by 24 publications

(16 citation statements)

References 35 publications

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“…It has been reported that SPRR3 is overexpressed in several tumor types, and is associated with tumor cell proliferation and invasion. Therefore, SPRR3 could be a potential biomarker and novel therapeutic target [ 45 – 47 ].…”

Section: Resultsmentioning

confidence: 99%

Mutation-profile-based methods for understanding selection forces in cancer somatic mutations: a comparative analysis

et al. 2017

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Human genes exhibit different effects on fitness in cancer and normal cells. Here, we present an evolutionary approach to measure the selection pressure on human genes, using the well-known ratio of the nonsynonymous to synonymous substitution rate in both cancer genomes (CN/CS) and normal populations (pN/pS). A new mutation-profile-based method that adopts sample-specific mutation rate profiles instead of conventional substitution models was developed. We found that cancer-specific selection pressure is quite different from the selection pressure at the species and population levels. Both the relaxation of purifying selection on passenger mutations and the positive selection of driver mutations may contribute to the increased CN/CS values of human genes in cancer genomes compared with the pN/pS values in human populations. The CN/CS values also contribute to the improved classification of cancer genes and a better understanding of the onco-functionalization of cancer genes during oncogenesis. The use of our computational pipeline to identify cancer-specific positively and negatively selected genes may provide useful information for understanding the evolution of cancers and identifying possible targets for therapeutic intervention.

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Section: Resultsmentioning

confidence: 99%

Mutation-profile-based methods for understanding selection forces in cancer somatic mutations: a comparative analysis

et al. 2017

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“…Furthermore, SPRR3 has two mRNA splice variants, SPRR3-v1 and -v2. SPRR-v1 is highly expressed in the esophageal mucosa of healthy individuals, whereas SPRR3-v2 expression is higher in the adjacent mucosal tissues in patients with esophageal squamous cell carcinoma [21]. High SPRR3 expression also has been reported in colorectal cancer, breast cancer, and glioblastoma multiforme (the most common primary brain tumor in adults); thus, this protein is a reported candidate biomarker for cancer diagnosis [22][23][24].…”

Section: Discussionmentioning

confidence: 99%

Identification and evaluation of potential forensic marker proteins in vaginal fluid by liquid chromatography/mass spectrometry

2015

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Vaginal fluid is one of the most common body fluids found at crime scenes. Discriminating vaginal fluid from other body fluids is important in forensic science; however, few potential protein markers have been reported to date. Proteomic methods for identifying protein markers have gained attention, although few reports have applied this technology to forensic protein markers. Therefore, to identify characteristic vaginal proteins, we examined various body fluids (nasal secretions, saliva, urine, semen, vaginal fluids, and sweat) using liquid chromatography/electrospray ionization time-of-flight mass spectrometry and peptide mass fingerprinting. We identified three components (average molecular mass values 17,237 ± 2, 18,063 ± 2, and 15,075 ± 1) detectable only in vaginal samples: two human small proline-rich protein 3 (SPRR3) isoforms and a human fatty acid-binding protein 5 (FABP5) with an acetylated (+42) N-terminal region lacking the initiator methionine residue (-131). Using ELISA, these yielded markedly high average values in vaginal fluids. The mass spectra of these proteins were not detected in infant saliva but were detected in the vaginal fluid throughout the menstrual cycle. The results of forensic analysis (detection limit, mixed body fluid samples, casework samples, and blind samples) suggest that these proteins are potential forensic markers. In conclusion, high SPRR3 and FABP5 expression levels, which may be used as potential markers for vaginal fluid identification in forensic science, were detected in vaginal fluids from healthy adults.

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“…Out of the 47 genes, 14 genes showed a significantly increased expression level in cancers than in normal tissues (fold change > 2, p < 10 Table 4 It has been reported that SPRR3 is overexpressed in several tumor types, and is associated with tumor cell proliferation and invasion. Therefore, SPRR3 could be a potential biomarker and novel therapeutic target [45][46][47].…”

Section: Selection Pressures On Cancer-associated Genesmentioning

confidence: 99%

Mutation-Profile-Based Methods for Understanding Selection Forces in Cancer Somatic Mutations: A Comparative Analysis

Zhou

Liu

Zhou

et al. 2015

Preprint

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Human genes exhibit different effects on fitness in cancer and normal cells. Here, we present an evolutionary approach to measure the selection pressure on human genes, using the well-known ratio of the nonsynonymous to synonymous substitution rate in both cancer genomes (C N /C S ) and normal populations (p N /p S ). A new mutationprofile-based method that adopts sample-specific mutation rate profiles instead of conventional substitution models was developed. We found that cancer-specific selection pressure is quite different from the selection pressure at the species and population levels. Both the relaxation of purifying selection on passenger mutations and the positive selection of driver mutations may contribute to the increased C N /C S values of human genes in cancer genomes compared with the p N /p S values in human populations. The C N /C S values also contribute to the improved classification of cancer genes and a better understanding of the onco-functionalization of cancer genes during oncogenesis. The use of our computational pipeline to identify cancerspecific positively and negatively selected genes may provide useful information for understanding the evolution of cancers and identifying possible targets for therapeutic intervention.

show abstract

Quantitative evaluation of SPRR3 expression in esophageal squamous cell carcinoma by qPCR and its potential use as a biomarker

Cited by 24 publications

References 35 publications

Mutation-profile-based methods for understanding selection forces in cancer somatic mutations: a comparative analysis

Mutation-profile-based methods for understanding selection forces in cancer somatic mutations: a comparative analysis

Identification and evaluation of potential forensic marker proteins in vaginal fluid by liquid chromatography/mass spectrometry

Mutation-Profile-Based Methods for Understanding Selection Forces in Cancer Somatic Mutations: A Comparative Analysis

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