Three-dimensional tumor visualization of invasive breast carcinomas using whole-mount serial section histopathology: implications for tumor size assessment

Clarke, Geoff; Holloway, Claire; Zubovits, Judit; Nofech‐Mozes, Sharon; Murray, Mayan; Liu, K; Wang, D; Kiss, Alexander; Yaffe, Martin J.

doi:10.1007/s10549-018-05122-7

Cited by 8 publications

(4 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the study, we found that PR-lncRNA1 SNP rs6499221 and rs3931698 were related to the risk of BC patients at age < 52 years. Additionally, several clinicopathological characteristics, including ER, PR, Ki-67, metastasis, stage and tumor size were also observed to participate in the BC pathogenesis [21][22][23]. Our study found that LOC105371267 polymorphisms might be associated with ER, PR, and stage of BC.…”

Section: Discussionmentioning

confidence: 60%

Evaluation of Association of LOC105371267 Polymorphisms and Breast Cancer Susceptibility

Liu

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract Background: LOC105371267 (also known as PR-lncRNA1) was reported to be a p53-regulated lncRNA, which played essential roles in the pathogenesis of breast cancer (BC). We aimed to investigate the potential associations between LOC105371267 polymorphisms and BC risk. Method: Totally, 555 healthy individuals and 561 BC patients were recruited. Five candidate SNPs of LOC105371267 were genotyped with Agena MassARRAY system. Odds ratio (OR) and 95% confidence intervals (CIs) were applied to evaluate the relationship of LOC105371267 with BC susceptibility. Additionally, stratification analyses based on clinical features and haplotype analysis were also conducted. Results: A decreased BC risk was observed rs3931698 GG genotype (OR = 0.30, P = 0.018) and recessive genetic model (OR = 0.30, P = 0.021). Stratified analysis with age also revealed that this SNP was associated with a lower risk at age < 52 years. Meanwhile, multiple clinical characteristics, including ER and PR status and stage were all correlated with SNPs rs6499221, rs3931698, rs3852740 and rs8044565.Conclusion: Four LOC105371267 SNPs (rs6499221, rs3931698, rs8044565 and rs3852740) were found to be correlated with development of BC. Additionally, ER, PR, and stage were also linked to LOC105371267 polymorphisms, providing novel diagnostic and therapeutic targets for of BC management.

show abstract

Section: Discussionmentioning

confidence: 60%

Evaluation of Association of LOC105371267 Polymorphisms and Breast Cancer Susceptibility

Liu

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…On one hand, large-section histopathology (LSH) produces large sections (7.5 cm × 5 cm × 5 μm), which allows the observation the entire excised tissue without the tissue fragments stitching process. The LSH was first reported in 1994 by Jackson et al [ 22 ], and subsequently applied to esophageal cancer [ 23 ], liver cancer [ 24 ], breast cancer [ 25 ], prostate cancer [ 26 ], and so on. However, since the LSH has a size limitation of 7.5 cm by 5 cm, it is not suitable for larger specimens.…”

Section: Discussionmentioning

confidence: 99%

Reconstructing virtual large slides can improve the accuracy and consistency of tumor bed evaluation for breast cancer after neoadjuvant therapy

et al. 2022

View full text Add to dashboard Cite

Background To explore whether the “WSI Stitcher”, a program we developed for reconstructing virtual large slide through whole slide imaging fragments stitching, can improve the efficiency and consistency of pathologists in evaluating the tumor bed after neoadjuvant treatment of breast cancer compared with the conventional methods through stack splicing of physical slides. Methods This study analyzed the advantages of using software-assisted methods to evaluate the tumor bed after neoadjuvant treatment of breast cancer. This new method is to use “WSI Stitcher” to stitch all the WSI fragments together to reconstruct a virtual large slide and evaluate the tumor bed with the help of the built-in ruler and tumor proportion calculation functions. Results Compared with the conventional method, the evaluation time of the software-assisted method was shortened by 35%(P < 0.001). In the process of tumor bed assessment after neoadjuvant treatment of breast cancer, the software-assisted method has higher intraclass correlation coefficient when measuring the length (0.994 versus 0.934), width (0.992 versus 0.927), percentage of residual tumor cells (0.947 versus 0.878), percentage of carcinoma in situ (0.983 versus 0.881) and RCB index(0.997 versus 0.772). The software-assisted method has higher kappa values when evaluating tumor staging(0.901 versus 0.687) and RCB grading (0.963 versus 0.857). Conclusion The “WSI Stitcher” is an effective tool to help pathologists with the assessment of breast cancer after neoadjuvant treatment.

show abstract

“…Importantly, the ER and PR were the decisive therapeutic targets in the treatment of BC. Additionally, Ki-67, lymph nodes metastasis, TNM stage, and tumor size were also linked with the BC pathogenesis [ 43 – 45 ]. Moreover, we also found that LOC105371267 SNPs (rs3931698, rs6499221, and rs3852740) of LOC105371267 might be associated with ER status, PR status, and TNM stage of BC in this study, which can be seen in the Results.…”

Section: Discussionmentioning

confidence: 99%

Impacts of LOC105371267 Variants on Breast Cancer Susceptibility in Northern Chinese Han Females: A Population-Based Case-Control Study

Peng

Huang

Xing

et al. 2021

Journal of Oncology

View full text Add to dashboard Cite

Background. LOC105371267, also known as PR-lncRNA1, was reported to be a p53-regulated long noncoding RNA (lncRNA), which played an essential role in the pathogenesis of breast cancer (BC). We aimed to observe the potential association between LOC105371267 polymorphisms and BC risk in Northern Chinese Han females. Methods. Totally, 555 healthy individuals and 561 patients with BC were recruited. Five candidate SNPs (rs6499221, rs3931698, rs8044565, rs3852740, and rs111577197) of LOC105371267 were genotyped with the Agena MassARRAY system. Odds ratio (OR) and 95% confidence intervals (CIs) were applied to evaluate the relationship of LOC105371267 genetic polymorphisms with BC susceptibility. Additionally, stratification analysis based on clinical features and haplotype analysis were also conducted. Finally, multifactor dimensionality reduction (MDR) analysis was performed to assess the SNP-SNP interaction among LOC105371267 variants, and false-positive report probability (FPRP) analysis was used to validate the result of this study. Results. In this study, rs3931698 was a protective factor of BC in total (GG homozygote: OR = 0.30, 95% CI: 0.11–0.82, p = 0.018 ; recessive model: OR = 0.30, 95% CI: 0.11–0.84, p = 0.021 ). In stratification analysis based on the average age of 52 years and clinical characteristics (PR status, III-IV TNM stage), rs3931698 was also demonstrated to be associated with BC susceptibility. In addition, rs6499221 and rs3852740 were also associated with BC susceptibility among patients at age <52 years and patients with BC in a positive status. Thus, the haplotype analysis had a negative result for the incidence of BC ( p > 0.05 ), and haplotype consisting of rs8044565 and rs111577197 was nonsignificantly associated with the BC risk. Finally, MDR and FPRP analyses also validated the result of this study. Conclusion. Polymorphisms rs3931698, rs6499221, and rs3852740 of LOC105371267 were found to be associated with the risk of BC in total, and stratification analysis in the Northern Chinese Han females suggested that LOC105371267 variants might be helpful to predict BC progression.

show abstract

Three-dimensional tumor visualization of invasive breast carcinomas using whole-mount serial section histopathology: implications for tumor size assessment

Cited by 8 publications

References 33 publications

Evaluation of Association of LOC105371267 Polymorphisms and Breast Cancer Susceptibility

Evaluation of Association of LOC105371267 Polymorphisms and Breast Cancer Susceptibility

Reconstructing virtual large slides can improve the accuracy and consistency of tumor bed evaluation for breast cancer after neoadjuvant therapy

Impacts of LOC105371267 Variants on Breast Cancer Susceptibility in Northern Chinese Han Females: A Population-Based Case-Control Study

Contact Info

Product

Resources

About