Abstract 4027: XNA-Based OptiSeqTMlung and colorectal cancer mini panel, a high sensitivity method for cancer early detection

Author(s):  
Michael Y. Sha ◽  
Wenjing Feng ◽  
Qing Sun ◽  
Ke Zhan ◽  
Michael J. Powell ◽  
...  
2010 ◽  
Vol 48 (08) ◽  
Author(s):  
A Rosenthal ◽  
H Köppen ◽  
R Musikowski ◽  
R Schwanitz ◽  
J Behrendt ◽  
...  

2020 ◽  
Vol 39 (2) ◽  
pp. 506-513
Author(s):  
E.O. Nwoye ◽  
O.P. Fidelis ◽  
O. Ogunsolu

Breast cancer is the most common cancer in women worldwide, comprising 16% of all female cancers and early diagnosis remains an important detection strategy. The aim of this study was to design and implement a user-friendly SmartBra. An infra-red (IR) imaging sensor was deployed to determine the temperature profile of the breast for this application. The device was tested with approval from the Health Research Ethics  Committee of the Lagos University Teaching Hospital using healthy persons and persons already diagnosed with different stages of breast cancer. The results showed high sensitivity and specificity with good intra-examiner reliability for absolute values of mean temperature for the right breast and very good reproducibility for the left breast. Data for healthy participants revealed that the difference in absolute temperature between the left and right breast was less than 1oC, while that of the sick (cancer) participants indicated values greater than 1oC. The device is safe and easy to use and therefore can serve as an adjunct diagnostic device for early detection of breast cancer. Keywords: breast cancer, early detection, infra-red thermography, mammography.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256436
Author(s):  
Joerg Bredno ◽  
Jafi Lipson ◽  
Oliver Venn ◽  
Alexander M. Aravanis ◽  
Arash Jamshidi

Background Oncology applications of cell-free DNA analysis are often limited by the amount of circulating tumor DNA and the fraction of cell-free DNA derived from tumor cells in a blood sample. This circulating tumor fraction varies widely between individuals and cancer types. Clinical factors that influence tumor fraction have not been completely elucidated. Methods and findings Circulating tumor fraction was determined for breast, lung, and colorectal cancer participant samples in the first substudy of the Circulating Cell-free Genome Atlas study (CCGA; NCT02889978; multi-cancer early detection test development) and was related to tumor and patient characteristics. Linear models were created to determine the influence of tumor size combined with mitotic or metabolic activity (as tumor mitotic volume or excessive lesion glycolysis, respectively), histologic type, histologic grade, and lymph node status on tumor fraction. For breast and lung cancer, tumor mitotic volume and excessive lesion glycolysis (primary lesion volume scaled by percentage positive for Ki-67 or PET standardized uptake value minus 1.0, respectively) were the only statistically significant covariates. For colorectal cancer, the surface area of tumors invading beyond the subserosa was the only significant covariate. The models were validated with cases from the second CCGA substudy and show that these clinical correlates of circulating tumor fraction can predict and explain the performance of a multi-cancer early detection test. Conclusions Prognostic clinical variables, including mitotic or metabolic activity and depth of invasion, were identified as correlates of circulating tumor DNA by linear models that relate clinical covariates to tumor fraction. The identified correlates indicate that faster growing tumors have higher tumor fractions. Early cancer detection from assays that analyze cell-free DNA is determined by circulating tumor fraction. Results support that early detection is particularly sensitive for faster growing, aggressive tumors with high mortality, many of which have no available screening today.


The Lancet ◽  
2003 ◽  
Vol 361 (9368) ◽  
pp. 1491-1495 ◽  
Author(s):  
Ulrike Peters ◽  
Rashmi Sinha ◽  
Nilanjan Chatterjee ◽  
Amy F Subar ◽  
Regina G Ziegler ◽  
...  

2019 ◽  
Vol 42 (6) ◽  
pp. 351-361
Author(s):  
Francisco José Luque Mellado ◽  
Lidia Paino Pardal ◽  
Isabel Condomines Feliu ◽  
Isabel Tora-Rocamora ◽  
Mercè Cuadras Rofastes ◽  
...  

2017 ◽  
Vol 28 ◽  
pp. iii91-iii92
Author(s):  
Yakov Ten ◽  
Sulayman Abdujapparov ◽  
Yahyo Ziyaev ◽  
Hurshid Islamov ◽  
Sayde Djanklch ◽  
...  

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