The Left Sided Predominance of Breast Cancer is Decreasing

Onibokun, Oluwatosin; Killelea, Brigid K.; Chagpar, Anees B.; Horowitz, Nina; Lannin, Donald R.

doi:10.1111/tbj.12385

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…Recently, Onibokun et al . informed that left sided predominance was significantly greater for high grade tumors and for hormone receptor negative tumors [ 33 ]. It should be interesting to analyze if and how the increment of the left/right ratio in higher grade tumors could be linked to our observations about the better predictive capacity of CH profiles in higher grade left tumors.…”

Section: Discussionmentioning

confidence: 99%

Asymmetric Cancer Hallmarks in Breast Tumors on Different Sides of the Body

et al. 2016

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During the last decades it has been established that breast cancer arises through the accumulation of genetic and epigenetic alterations in different cancer related genes. These alterations confer the tumor oncogenic abilities, which can be resumed as cancer hallmarks (CH). The purpose of this study was to establish the methylation profile of CpG sites located in cancer genes in breast tumors so as to infer their potential impact on 6 CH: i.e. sustained proliferative signaling, evasion of growth suppressors, resistance to cell death, induction of angiogenesis, genome instability and invasion and metastasis. For 51 breast carcinomas, MS-MLPA derived-methylation profiles of 81 CpG sites were converted into 6 CH profiles. CH profiles distribution was tested by different statistical methods and correlated with clinical-pathological data. Unsupervised Hierarchical Cluster Analysis revealed that CH profiles segregate in two main groups (bootstrapping 90–100%), which correlate with breast laterality (p = 0.05). For validating these observations, gene expression data was obtained by RealTime-PCR in a different cohort of 25 tumors and converted into CH profiles. This analyses confirmed the same clustering and a tendency of association with breast laterality (p = 0.15). In silico analyses on gene expression data from TCGA Breast dataset from left and right breast tumors showed that they differed significantly when data was previously converted into CH profiles (p = 0.033). We show here for the first time, that breast carcinomas arising on different sides of the body present differential cancer traits inferred from methylation and expression profiles. Our results indicate that by converting methylation or expression profiles in terms of Cancer Hallmarks, it would allow to uncover veiled associations with clinical features. These results contribute with a new finding to the better understanding of breast tumor behavior, and can moreover serve as proof of principle for other bilateral cancers like lung, testes or kidney.

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Section: Discussionmentioning

confidence: 99%

Asymmetric Cancer Hallmarks in Breast Tumors on Different Sides of the Body

et al. 2016

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“…There is a slight excess of BC in the left breast compared with the right[ 32 , 33 ], but previous studies have been hampered by small numbers or limited geographic or demographic populations. Since the laterality difference is small, it has been difficult to appreciate the clinical or biological characteristics associated with left BC predominance[ 34 ]. Several studies have linked marital status to cancer outcomes in soft tissue sarcoma and small intestinal adenocarcinoma rectal cancer[ 35 , 36 ].…”

Section: Discussionmentioning

confidence: 99%

Nomogram for predicting overall survival in Chinese triple-negative breast cancer patients after surgery

Lin¹,

Xie²,

Chen³

et al. 2022

World J Clin Cases

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BACKGROUND There are few nomograms for the prognosis of Chinese patients with triple-negative breast cancer (TNBC). AIM To construct and validate a nomogram for overall survival (OS) of Chinese TNBC patients after surgery. METHODS This study used the data of SEER*stat 8.3.5 and selected Chinese patients with TNBC operated on between 2010 and 2015. Univariate and multivariate Cox proportional hazard regression models were used. The identified variables were integrated to form a predictive nomogram and risk stratification model; it was assessed with C-indexes and calibration curves. RESULTS The median and maximal OS of the 336 patients was 39 and 83 mo, respectively. The multivariate analysis showed that age ( P = 0.043), marital status ( P = 0.040), tumor localization ( P = 0.030), grade ( P = 0.035), T classification ( P = 0.012), and N classification ( P = 0.002) were independent prognostic factors. The six variables were combined to construct a 1-, 3- and 5-year OS nomogram. The C-indexes of the nomogram to predict OS were 0.766 and compared to the seventh edition staging system, which was higher (0.766 vs 0.707, P < 0.001). In order to categorize patients into different prognostic groups, a risk stratification model was created. There was a significant difference between the Kaplan–Meier curves of the entire cohort and each disease stage according to the nomogram. CONCLUSION The nomogram provided prognostic superiority over the traditional tumor, node and metastasis system. It could help clinicians make individual OS or risk predictions for Chinese TNBC patients after surgery.

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