scholarly journals Complementary Use of Carbohydrate Antigens Lewis a, Lewis b, and Sialyl-Lewis a (CA19.9 Epitope) in Gastrointestinal Cancers: Biological Rationale towards a Personalized Clinical Application

Cancers ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1509
Author(s):  
Rossella Indellicato ◽  
Aida Zulueta ◽  
Anna Caretti ◽  
Marco Trinchera
Keyword(s):  
Molecular Data ◽  
Carbohydrate Antigen ◽  
Biological Data ◽  
Lewis Antigens ◽  
Carbohydrate Antigens ◽  
Ductal Cells ◽  
The Status ◽  
Circulating Antigens ◽  
Sialyl Lewis A ◽  
Lewis A

Carbohydrate antigen 19.9 (CA19.9) is used as a tumor marker for clinical and research purposes assuming that it is abundantly produced by gastrointestinal cancer cells due to a cancer-associated aberrant glycosylation favoring its synthesis. Recent data has instead suggested a different picture, where immunodetection on tissue sections matches biochemical and molecular data. In addition to CA19.9, structurally related carbohydrate antigens Lewis a and Lewis b are, in fact, undetectable in colon cancer, due to the down-regulation of a galactosyltransferase necessary for their synthesis. In the pancreas, no differential expression of CA19.9 or cognate glycosyltransferases occurs in cancer. Ductal cells only express such Lewis antigens in a pattern affected by the relative levels of each glycosyltransferase, which are genetically and epigenetically determined. The elevation of circulating antigens seems to depend on the obstruction of neoplastic ducts and loss of polarity occurring in malignant ductal cells. Circulating Lewis a and Lewis b are indeed promising candidates for monitoring pancreatic cancer patients that are negative for CA19.9, but not for improving the low diagnostic performance of such an antigen. Insufficient biological data are available for gastric and bile duct cancer. Studying each patient in a personalized manner determining all Lewis antigens in the surgical specimens and in the blood, together with the status of the tissue-specific glycosylation machinery, promises fruitful advances in translational research and clinical practice.

scholarly journals Expression of carbohydrate-antigen sialyl-Lewis a on colon cancer cells promotes xenograft growth and angiogenesis in nude mice

2013 ◽  
Vol 45 (12) ◽  
pp. 2796-2800 ◽  
Author(s):  
Laura Terraneo ◽  
Laura Avagliano ◽  
Anna Caretti ◽  
Paola Bianciardi ◽  
Delfina Tosi ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cancer Cells ◽  
Nude Mice ◽  
Carbohydrate Antigen ◽  
Colon Cancer Cells ◽  
Xenograft Growth ◽  
Sialyl Lewis ◽  
Sialyl Lewis A ◽  
Lewis A

Adhesion of human cancer cells to vascular endothelium mediated by a carbohydrate antigen, sialyl Lewis A

1991 ◽  
Vol 179 (2) ◽  
pp. 713-719 ◽  
Author(s):  
Akiko Takada ◽  
Katsuyuki Ohmori ◽  
Naofumi Takahashi ◽  
Kiyotaka Tsuyuoka ◽  
Akihiro Yago ◽  
...  
Keyword(s):  
Cancer Cells ◽  
Vascular Endothelium ◽  
Human Cancer ◽  
Carbohydrate Antigen ◽  
Human Cancer Cells ◽  
Sialyl Lewis ◽  
Sialyl Lewis A ◽  
Lewis A

Role of Carbohydrate Antigens Sialyl Lewis (a) (CA19-9) in Bronchoalveolar Lavage in Patients with Pulmonary Fibrosis

Respiration ◽  
2000 ◽  
Vol 67 (2) ◽  
pp. 146-152 ◽  
Author(s):  
Yuka Obayashi ◽  
Jiro Fujita ◽  
Takehiko Nishiyama ◽  
Takeo Yoshinouchi ◽  
Tadashi Kamei ◽  
...  
Keyword(s):  
Pulmonary Fibrosis ◽  
Bronchoalveolar Lavage ◽  
Carbohydrate Antigens ◽  
Sialyl Lewis ◽  
Sialyl Lewis A ◽  
Lewis A

Significance of Carbohydrate Antigen Sialyl-Lewis X, Sialyl-Lewis A, and Possible Unknown Ligands to Adhesion of Human Urothelial Cancer Cells to Activated Endothelium

2000 ◽  
Vol 64 (3) ◽  
pp. 129-133 ◽  
Author(s):  
Yasuhisa Fujii ◽  
Masayuki Yoshida ◽  
Lee-Jung Chien ◽  
Kazunori Kihara ◽  
Yukio Kageyama ◽  
...  
Keyword(s):  
Cancer Cells ◽  
Urothelial Cancer ◽  
Carbohydrate Antigen ◽  
Sialyl Lewis X ◽  
Lewis X ◽  
Sialyl Lewis ◽  
Sialyl Lewis A ◽  
Lewis A

The status of Myriangiaceae (Dothideomycetes)

Phytotaxa ◽  
2014 ◽  
Vol 176 (1) ◽  
pp. 219 ◽  
Author(s):  
ASHA J. DISSANAYAKE ◽  
RUVISHIKA S. JAYAWARDENA ◽  
SARANYAPHAT BOONMEE ◽  
KASUN M. THAMBUGALA ◽  
QING TIAN ◽  
...  
Keyword(s):  
Sequence Data ◽  
Molecular Data ◽  
Molecular Sequence Data ◽  
Molecular Sequence ◽  
The Family ◽  
The Status ◽  
Sexual State ◽  
Morphological And Molecular Data ◽  
Asexual State ◽  
Molecular Characters

The family Myriangiaceae is relatively poorly known amongst the Dothideomycetes and includes genera which are saprobic, epiphytic and parasitic on the bark, leaves and branches of various plants. The family has not undergone any recent revision, however, molecular data has shown it to be a well-resolved family closely linked to Elsinoaceae in Myriangiales. Both morphological and molecular characters indicate that Elsinoaceae differs from Myriangiaceae. In Elsinoaceae, small numbers of asci form in locules in light coloured pseudostromata, which form typical scab-like blemishes on leaf or fruit surfaces. The coelomycetous, “Sphaceloma”-like asexual state of Elsinoaceae, form more frequently than the sexual state; conidiogenesis is phialidic and conidia are 1-celled and hyaline. In Myriangiaceae, locules with single asci are scattered in a superficial, coriaceous to sub-carbonaceous, black ascostromata and do not form scab-like blemishes. No asexual state is known. In this study, we revisit the family Myriangiaceae, and accept ten genera, providing descriptions and discussion on the generic types of Anhellia, Ascostratum, Butleria, Dictyocyclus, Diplotheca, Eurytheca, Hemimyriangium, Micularia, Myriangium and Zukaliopsis. The genera of Myriangiaceae are compared and contrasted. Myriangium duriaei is the type species of the family, while Diplotheca is similar and may possibly be congeneric. The placement of Anhellia in Myriangiaceae is supported by morphological and molecular data. Because of similarities with Myriangium, Ascostratum (A. insigne), Butleria (B. inaghatahani), Dictyocyclus (D. hydrangea), Eurytheca (E. trinitensis), Hemimyriangium (H. betulae), Micularia (M. merremiae) and Zukaliopsis (Z. amazonica) are placed in Myriangiaceae. Molecular sequence data from fresh collections is required to confirm the relationships and placement of the genera in this family.

Paired tumor marker of soluble E-selectin and its ligand sialyl Lewis A in colorectal cancer

2001 ◽  
Vol 36 (12) ◽  
pp. 823-829 ◽  
Author(s):  
Katsuki Ito ◽  
ChunLin Ye ◽  
Kenji Hibi ◽  
Chikako Mitsuoka ◽  
Reiji Kannagi ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Tumor Marker ◽  
Sialyl Lewis ◽  
Sialyl Lewis A ◽  
Soluble E Selectin ◽  
Lewis A

scholarly journals Discovery of sialyl Lewis A and Lewis X modified protein cancer biomarkers using high density antibody arrays

2014 ◽  
Vol 96 ◽  
pp. 291-299 ◽  
Author(s):  
Jung-hyun Rho ◽  
Judson R. Mead ◽  
W. Shea Wright ◽  
Dean E. Brenner ◽  
James W. Stave ◽  
...  
Keyword(s):  
Cancer Biomarkers ◽  
High Density ◽  
Lewis X ◽  
Sialyl Lewis ◽  
Sialyl Lewis A ◽  
Antibody Arrays ◽  
Lewis A

scholarly journals Data framework for efficient management of sequence and microsatellite data in biodiversity studies

2013 ◽  
Vol 56 (1) ◽  
pp. 50-64 ◽  
Author(s):  
C. V. C. Truong ◽  
Z. Duchev ◽  
E. Groeneveld
Keyword(s):  
Information System ◽  
Molecular Data ◽  
General Information ◽  
Biological Data ◽  
Efficient Management ◽  
Data Framework ◽  
Wide Range ◽  
Uniform Solution ◽  
General Data ◽  
General Data Model

Abstract. In recent years, software packages for the management of biological data have rapidly been developing. However, currently, there is no general information system available for managing molecular data derived from both Sanger sequencing and microsatellite genotyping projects. A prerequisite to implementing such a system is to design a general data model which can be deployed to a wide range of labs without modification or customization. Thus, this paper aims to (1) suggest a uniform solution to efficiently store data items required in different labs, (2) describe procedures for representing data streams and data items (3) and construct a formalized data framework. As a result, the data framework has been used to develop an integrated information system for small labs conducting biodiversity studies.

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