Fresh tumour tissue from 198 primary invasive breast carcinomas was analysed by DNA flow cytometry. 108 tumours were non-diploid. A significantly higher proportion of non-diploid tumours was found among node-positive patients, patients with oestrogen receptor negative tumours and among patients with ductal carcinomas. The survival of patients with diploid and non-diploid tumours was not significantly different (p = 0.1). Totally, 145 tumours were analyzed with respect to S-phase fraction (SPF). The distribution of SPF was different in diploid and non-diploid tumours. A low SPF group, defined as the lower SPF quartile (< or = 4.6% in diploid and < or = 8.5% in non-diploid tumours), was associated with highly differentiated tumours and oestrogen receptor positive tumours. Histological grading revealed a highly significant correlation to SPF. 57% of ductal carcinomas grade I (8 out of 14), 30% of ductal carcinomas grade II (20 out of 67) and 5% of ductal carcinomas grade III (2 out of 37) had a low SPF. Patients within the low SPF group had a significantly longer survival than had patients within the high SPF group (p = 0.006). In a multivariate analysis the SPF was found to be an additional prognostic factor next to node status and ER status.
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http://dx.doi.org/10.1016/S0344-0338(11)80327-4 | DOI Listing |
BMC Cancer
January 2025
Department of Gastrointestinal Surgery I Section, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Background: Gastric cancer peritoneal metastasis lacks effective predictive indices. This article retrospectively explored predictive values of DNA ploidy, stroma, and nucleotyping in gastric cancer peritoneal metastasis.
Methods: A comprehensive analysis was conducted on specimens obtained from 80 gastric cancer patients who underwent gastric resection at the Department of Gastrointestinal Surgery of Wuhan University Renmin Hospital.
Cancers (Basel)
June 2023
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
(1) Background: Chromatin structure typing has been used for prognostic risk stratification among cancer survivors. This study aimed to ascertain the prognostic values of ploidy, nucleotyping, and tumor-stroma ratio (TSR) in predicting disease progression for patients with early-stage non-small cell lung cancer (NSCLC), and to explore whether patients with different nucleotyping profiles can benefit from adjuvant chemotherapy. (2) Methods: DNA ploidy, nucleotyping, and TSR were measured by chromatin structure typing analysis (Matrix Analyser, Room4, Kent, UK).
View Article and Find Full Text PDFClin Transl Oncol
January 2023
Department of Colorectal Cancer, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, No. 651, Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China.
Background: For clinically low-risk stage III colorectal cancer, the decision on cycles of adjuvant chemotherapy after surgery is disputed. The present study investigates the use of additional biomarkers of ploidy and stroma-ratio(PS) to stratify patients with low-risk stage III colorectal cancer, providing a basis for individualized treatment in the future.
Methods: This study retrospectively enrolled 198 patients with clinical-low-risk stage III colorectal cancer (T1-3N1M0) and analyzed the DNA ploidy and stroma ratio of FFPE tumor tissues.
Am J Hematol
July 2022
Department of Hematopathology and Molecular Diagnostics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Optical genome mapping (OGM) is a technology that is rapidly being adopted in clinical genetics laboratories for its ability to detect structural variation (e.g., translocations, inversions, deletions, duplications, etc.
View Article and Find Full Text PDFCancers (Basel)
August 2021
Institute for Cancer Genetics and Informatics, Oslo University Hospital, NO-0424 Oslo, Norway.
Machine learning (ML) is expected to improve biomarker assessment. Using convolution neural networks, we developed a fully-automated method for assessing PTEN protein status in immunohistochemically-stained slides using a radical prostatectomy (RP) cohort ( = 253). It was validated according to a predefined protocol in an independent RP cohort ( = 259), alone and by measuring its prognostic value in combination with DNA ploidy status determined by ML-based image cytometry.
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