S‐phase fraction determined on fine needle aspirates is an independent prognostic factor in breast cancer – a multivariate study of 770 patients

Gazić, Barbara; Pižem, Jože; Bračko, Matej; Čufer, T.; Borštnar, Simona; Pohar‐Marinšek, Živa; Us‐Krašovec, Marija

doi:10.1111/j.1365-2303.2007.00528.x

Cited by 23 publications

(34 citation statements)

References 25 publications

(77 reference statements)

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“…As recommended by previous studies (18)(19)(20), another approach to reporting SPF is the subdivision into tertiles (<4.5, 4.5-9.2 and ≥9.2%), which has been proven to possess prognostic significance (25). However, as reported previously, a well-known limitation of SPF is the fact that in 20-25% of cases, primarily those with aneuploidy, determining SPF from the DNA histogram fails for the following technical reasons: i) Overlap of populations; ii) a high degree of background debris; iii) too few cells; and iv) tumour classification as multiploid and/or hypertetraploid (9,10).…”

Section: Methodsmentioning

confidence: 97%

“…In breast cancer, DNA ploidy and SPF have been investigated in association with the biological characterization of tumours, patient survival and prognosis (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15).…”

Section: Introductionmentioning

confidence: 99%

“…Numerous studies have reported that DNA ploidy and/or SPF are prognostic markers for breast cancer (2)(3)(4)(5)(6)(7)(8)(9)(10)(11); however, a number of studies have questioned their independent prognostic significance (12)(13)(14)(15). These conflicting data have limited the prognostic value of DNA flow cytometry and the extent of its clinical use.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have indicated that the evaluation of cytometric parameters can improve the management of breast cancer, aiding in the prognostic assessment and therapeutic planning for patients (2)(3)(4)(5)(6)9,10,24). The current study aimed to review the application of DNA flow cytometry in the prognostic assessment of patients with breast cancer.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Prognostic relevance of DNA flow cytometry in breast cancer revisited: The 25-year experience of the Portuguese Institute of Oncology of Lisbon

et al. 2017

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Abstract. The potential prognostic significance of DNA flow cytometric measurements (DNA ploidy and S-phase fraction) in breast cancer remains in dispute. Inconclusive data, primarily due to the lack of consistent standardization and quality control programs, have limited its translation into clinical practice. The aim of the present review, based on the 25-year experience of the Portuguese Institute of Oncology of Lisbon, is to assess the clinical relevance and application of DNA flow cytometry for the prognosis of breast cancer. Overall, data from Portuguese Institute of Oncology of Lisbon indicate that DNA flow cytometry provides significant prognostic information that is biologically relevant and clinically useful for the management of patients with breast cancer. Furthermore, this data has demonstrated the independent value of DNA aneuploidy as a prognostic indicator of poor clinical outcome in various subgroups of patients with early or locally advanced breast cancer at short-and long-term follow-up. Notably, aneuploidy identifies subsets of patients with grade (G)1 or G2 tumours who exhibit a poor clinical outcome. These patients may benefit from adjuvant chemotherapy, particularly those with luminal A and luminal B/human epidermal growth factor-2-negative endocrine-responsive breast cancer. In conclusion, data from Portuguese Institute of Oncology of Lisbon reinforces the clinical importance and utility of DNA flow cytometric analysis, particularly DNA ploidy, in the prognostic assessment and therapeutic planning for patients with breast cancer.

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Section: Methodsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Prognostic relevance of DNA flow cytometry in breast cancer revisited: The 25-year experience of the Portuguese Institute of Oncology of Lisbon

et al. 2017

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“…SPF is also recognized as an independent prognostic factor in breast cancer (Bae et al, 2007;Gazic et al, 2008). A complete procedure of SPF measurement is described by Naguib et al (1999).…”

Section: Breast Cancer Datasetmentioning

confidence: 99%

Cross Validation Evaluation for Breast Cancer Prediction Using Multilayer Perceptron Neural Networks

R.¹

2011

American Journal of Engineering and Applied Sciences

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Problem statement:The presence of metastasis in the regional lymph nodes is the most important factor in predicting prognosis in breast cancer. Many biomarkers have been identified that appear to relate to the aggressive behaviour of cancer. However, the nonlinear relation of these markers to nodal status and also the existence of complex interaction between markers have prohibited an accurate prognosis. Approach: The aim of this study is to investigate the effectiveness of a Multilayer Perceptron (MLP) for predicting breast cancer progression using a set of four biomarkers of breast tumors. The biomarkers include DNA ploidy, cell cycle distribution (G0G1/G2M), steroid receptors (ER/PR) and S-Phase Fraction (SPF). A further objective of the study is to explore the predictive potential of these markers in defining the state of nodal involvement in breast cancer. Two methods of outcome evaluation viz. stratified and simple k-fold Cross Validation (CV) are studied in order to assess their accuracy and reliability for neural network validation. Criteria such as output accuracy, sensitivity and specificity are used for selecting the best validation technique besides evaluating the network outcome for different combinations of markers. Results:The results show that stratified 2-fold CV is more accurate and reliable compared to simple kfold CV as it obtains a higher accuracy and specificity and also provides a more stable network validation in terms of sensitivity. Best prediction results are obtained by using an individual marker-SPF which obtains an accuracy of 65%. Conclusion/Recommendations: Our findings suggest that MLP-based analysis provides an accurate and reliable platform for breast cancer prediction given that an appropriate design and validation method is employed.

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Evaluation of DNA ploidy and S‐phase fraction in fine needle aspirates from breast carcinoma

Panwar

Handa

Kaur

et al. 2021

Diagnostic Cytopathology

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Background The use of fine‐needle aspiration (FNA) as a primary tool in the diagnosis of breast carcinoma provides opportunity for early proliferative characterization of the tumor. This study was undertaken to assess DNA ploidy and S‐phase (SPF) fraction by flow cytometry in fine needle aspirates of patients with breast cancer. Method Fifty patients of breast cancer diagnosed on fine needle aspiration cytology (FNAC) and who subsequently underwent either mastectomy or lumpectomy were included. Material obtained by FNAC was subjected to DNA ploidy and SPF analysis. Immunohistochemical estimation of Ki‐67 was done on histopathology sections. The proliferation markers (SPF and Ki‐67) were compared with each other and with the histopathologic parameters. Results On DNA flow cytometry, 27 (54%) cases were aneuploid and 23 (46%) cases were diploid. The median SPF was 12.43% and 4.03% in aneuploid and diploid tumors respectively. Median Ki‐67 among aneuploid tumors was 28.6% compared to 8.7% among diploid tumors. Aneuploid tumors were significantly associated with higher values of SPF and Ki‐67, with Kappa 0.437 and agreement of 72%. Diploid tumors showed lower values of SPF and Ki‐67, with Kappa 0.455 and agreement of 72.7%. Correlation among SPF and Ki‐67 was highly significant with Kappa value 0.446, P value of .002 and agreement of 72.3%. Conclusion DNA ploidy and proliferative activity by flow cytometric SPF estimation on fine needle aspirates from breast cancer can provide valuable prognostic and predictive information at the time of diagnosis in patients with breast cancer. This might help in selection of appropriate treatment modality.

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S‐phase fraction determined on fine needle aspirates is an independent prognostic factor in breast cancer – a multivariate study of 770 patients

Cited by 23 publications

References 25 publications

Prognostic relevance of DNA flow cytometry in breast cancer revisited: The 25-year experience of the Portuguese Institute of Oncology of Lisbon

Prognostic relevance of DNA flow cytometry in breast cancer revisited: The 25-year experience of the Portuguese Institute of Oncology of Lisbon

Cross Validation Evaluation for Breast Cancer Prediction Using Multilayer Perceptron Neural Networks

Evaluation of DNA ploidy and S‐phase fraction in fine needle aspirates from breast carcinoma

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