Geriatric Early-Stage Triple-Negative Breast Cancer Patients in Low-risk Population: Omitting Chemotherapy Based on Nomogram

Zhou, Chen; Xu, Li‐Yan; Du, Zhenggui; Lv, Qing

doi:10.1016/j.clbc.2022.08.013

Cited by 3 publications

(2 citation statements)

References 38 publications

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“…Zhou et al conducted a SEER retrospective review of 6482 patients age ≥ 65 with early stage, triple negative breast cancer (TNBC) [ 15 ]. They created a nomogram to determine which patients can avoid chemotherapy by analyzing breast cancer specific survival and overall survival.…”

Section: Resultsmentioning

confidence: 99%

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Prognostic Tools for Older Women with Breast Cancer: A Systematic Review

Record,

Chanenchuk,

Parrish

et al. 2023

Medicina

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Background: Breast cancer is the most common cancer in women, and older patients comprise an increasing proportion of patients with this disease. The older breast cancer population is heterogenous with unique factors affecting clinical decision making. While many models have been developed and tested for breast cancer patients of all ages, tools specifically developed for older patients with breast cancer have not been recently reviewed. We systematically reviewed prognostic models developed and/or validated for older patients with breast cancer. Methods: We conducted a systematic search in 3 electronic databases. We identified original studies that were published prior to 8 November 2022 and presented the development and/or validation of models based mainly on clinico-pathological factors to predict response to treatment, recurrence, and/or mortality in older patients with breast cancer. The PROBAST was used to assess the ROB and applicability of each included tool. Results: We screened titles and abstracts of 7316 records. This generated 126 studies for a full text review. We identified 17 eligible articles, all of which presented tool development. The models were developed between 1996 and 2022, mostly using national registry data. The prognostic models were mainly developed in the United States (n = 7; 41%). For the derivation cohorts, the median sample size was 213 (interquartile range, 81–845). For the 17 included modes, the median number of predictive factors was 7 (4.5–10). Conclusions: There have been several studies focused on developing prognostic tools specifically for older patients with breast cancer, and the predictions made by these tools vary widely to include response to treatment, recurrence, and mortality. While external validation was rare, we found that it was typically concordant with interval validation results. Studies that were not validated or only internally validated still require external validation. However, most of the models presented in this review represent promising tools for clinical application in the care of older patients with breast cancer.

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Section: Resultsmentioning

confidence: 99%

“…Baseline characteristics of tools included in a systematic review of prognostic tools for older patients with breast cancer[10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26].…”

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confidence: 99%

Prognostic Tools for Older Women with Breast Cancer: A Systematic Review

Record,

Chanenchuk,

Parrish

et al. 2023

Medicina

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Anatomic characteristics of shoulder based on MRI accurately predict incomplete rotator cuff injuries in patients: relevance for predictive, preventive, and personalized healthcare strategies

Zuo

et al. 2023

EPMA Journal

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Roles of GFAT and PFK genes in energy metabolism of brown planthopper, Nilaparvata lugens

Sun

Liu

et al. 2023

Front. Physiol.

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Glutamine:fructose-6-phosphate aminotransferases (GFATs) and phosphofructokinase (PFKs) are the principal rate-limiting enzymes involved in hexosamine biosynthesis pathway (HBP) and glycolysis pathway, respectively. In this study, the NlGFAT and NlPFK were knocked down through RNA interference (RNAi) in Nilaparvata lugens, the notorious brown planthopper (BPH), and the changes in energy metabolism were determined. Knockdown of either NlGFAT or NlPFK substantially reduced gene expression related to trehalose, glucose, and glycogen metabolism pathways. Moreover, trehalose content rose significantly at 72 h after dsGFAT injection, and glycogen content increased significantly at 48 h after injection. Glucose content remained unchanged throughout the experiment. Conversely, dsPFK injection did not significantly alter trehalose, but caused an extreme increase in glucose and glycogen content at 72 h after injection. The Knockdown of NlGFAT or NlPFK significantly downregulated the genes in the glycolytic pathway, as well as caused a considerable and significant decrease in pyruvate kinase (PK) activity after 48 h and 72 h of inhibition. After dsGFAT injection, most of genes in TCA cycle pathway were upregulated, but after dsNlPFK injection, they were downregulated. Correspondingly, ATP content substantially increased at 48 h after NlGFAT knockdown but decreased to an extreme extent by 72 h. In contrast, ATP content decreased significantly after NlPFK was knocked down and returned. The results have suggested the knockdown of either NlGFAT or NlPFK resulted in metabolism disorders in BPHs, highlighting the difference in the impact of those two enzyme genes on energy metabolism. Given their influence on BPHs energy metabolism, developing enzyme inhibitors or activators may provide a biological control for BPHs.

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Geriatric Early-Stage Triple-Negative Breast Cancer Patients in Low-risk Population: Omitting Chemotherapy Based on Nomogram

Cited by 3 publications

References 38 publications

Prognostic Tools for Older Women with Breast Cancer: A Systematic Review

Prognostic Tools for Older Women with Breast Cancer: A Systematic Review

Anatomic characteristics of shoulder based on MRI accurately predict incomplete rotator cuff injuries in patients: relevance for predictive, preventive, and personalized healthcare strategies

Roles of GFAT and PFK genes in energy metabolism of brown planthopper, Nilaparvata lugens

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