scholarly journals Survival Time among Young and Old Breast Cancer Patients in Relation to Circulating Blood-Based Biomarkers, Acute Radiation Skin Reactions, and Tumour Recurrence

Oncology ◽  
2021 ◽  
pp. 1-7
Author(s):  
Nongnit Laytragoon Lewin ◽  
Delmy Oliva ◽  
Mats Nilsson ◽  
Bengt-Åke Andersson ◽  
Sture Löfgren ◽  
...  

<b><i>Introduction:</i></b> It has been suggested that age could influence the treatment-induced side effects and survival time of cancer patients. The influence of age on blood-based biomarkers, acute radiation skin reactions (ARSRs), and survival time of breast cancer patients was analysed. <b><i>Materials and Methods:</i></b> Two hundred ninety-three individuals, 119 breast cancer patients, and 174 healthy blood donors were included. <b><i>Results:</i></b> Before radiotherapy (RT), decreased levels of lymphocytes, interleukin 2, platelet-derived growth factors, and tumour necrosis factor but increased levels of monocyte-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, C-reactive protein, and macrophage inflammatory protein 1b (MIP1b) were detected in the patient group. All of the patients developed ARSRs and intensity of ARSRs was inversely related to the MIP1b level before RT. Fifteen out of 119 (13%) patients deceased during follow-up time. No influence of age (≤50 compared to &#x3e;50 years) on survival time was detected (<i>p</i> = 0.442). Tumour recurrence, found in 11 out of 119 (9%) patients, had impact on survival time of these patients (<i>p</i> &#x3c; 0.001). <b><i>Conclusions:</i></b> The level of circulating MIP1b before RT was associated with intensity of ARSRs. Tumour recurrence, but not age, was associated with poor survival time. Analysis of circulating MIP1b was low cost, rapid, and could be done in routine laboratory facility. Since RT almost always induces ARSRs, the possibility of using MIP1b as a prognostic biomarker for ARSRs is of interests for further investigation.

2021 ◽  
Vol 29 ◽  
pp. 100452
Author(s):  
Bernardo Cacho-Díaz ◽  
Mariana Daniela Cortes-Ortega ◽  
Nancy Reynoso-Noverón ◽  
Talia Wegman-Ostrosky ◽  
Cristian Arriaga-Canon ◽  
...  

2007 ◽  
Vol 69 (3) ◽  
pp. 685-693 ◽  
Author(s):  
Tomo Suga ◽  
Atsuko Ishikawa ◽  
Masakazu Kohda ◽  
Yoshimi Otsuka ◽  
Shigeru Yamada ◽  
...  

Tumor Biology ◽  
2015 ◽  
Vol 37 (1) ◽  
pp. 361-368 ◽  
Author(s):  
Sabine Krenn-Pilko ◽  
Uwe Langsenlehner ◽  
Tatjana Stojakovic ◽  
Martin Pichler ◽  
Armin Gerger ◽  
...  

2021 ◽  
Author(s):  
Yoshihisa Tokumaru ◽  
Masanori Oshi ◽  
Vijayashree V. Murthy ◽  
Eriko Katsuta ◽  
Nobuhisa Matsuhashi ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Cong Jiang ◽  
Yubo Lu ◽  
Shiyuan Zhang ◽  
Yuanxi Huang

Background and Methods. As a parameter integrating neutrophil (N), lymphocyte (L), and platelet (P) levels, altered systemic immune-inflammation index (SII) has been investigated in a number of malignant tumor types. Here, we explore the impact of SII in a cohort of 249 breast cancer patients receiving neoadjuvant chemotherapy (NAC), investigating the prognostic value of SII, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR). All patients had complete follow-up data and pathological confirmation of breast cancer by a core needle biopsy prior to NAC treatment and surgery. All blood samples were obtained within one week prior to NAC. Receiver operating characteristic (ROC) analysis was used to determine the optimal cut-off value for patient classification by SII, NLR, and PLR. Associations between clinicopathological variables by SII, NLR, and PLR were determined by a chi-squared test or Fisher’s exact test. Overall survival (OS) analysis was performed using Kaplan-Meier plots, log-rank tests, and Cox proportional hazards regression models. The Z test is used to compare the prognostic ability of SII, NLR, and PLR. Results. SII, NLR, and PLR did not define patient groups with distinct clinicopathological characteristics. SII, NLR, and PLR cut-off values were 547, 2.13, and 88.23, as determined by ROC analysis; the corresponding areas under the curve (AUCs) were 0.625, 0.555, and 0.571, respectively. Cox regression models identified SII as independently associated with OS. Patients with low SII had prolonged OS (65 vs. 41 months, P = 0.017 , HR: 3.24, 95% CI: 1.23-8.55). In the Z test, the difference in AUC between SII and NLR was statistically significant ( Z = 2.721 , 95% CI: 0.0194-0.119, P = 0.0065 ). Conclusion. Our study suggests that the pretreatment SII value is significantly correlated with OS in breast cancer patients undergoing NAC and that the prognostic utility of SII is superior to that of NLR and PLR.


2020 ◽  
Author(s):  
Chen He ◽  
Wenxi Zhu ◽  
Yunxiang Tang ◽  
Yonghai Bai ◽  
Zheng Luo ◽  
...  

Abstract Background: The health burden of breast cancer is rising in China. The effect of informed diagnosis on long-term survival has not been fully understood. This retrospective cohort study aims at exploring the association between early informed diagnosis and survival time in breast cancer patients.Methods: 12,327 breast cancer patients were enrolled between October 2002 and December 2016. Potential factors including knowing cancer diagnosis status, gender, age, clinical-stage, surgical history, the grade of reporting hospital and diagnostic year were registered. We followed up all participants every 6 months until June 2017.Results: By June 2017, 18.04% of the participants died of breast cancer. Both the 3-year and 5-year survival rate of whom knew cancer diagnosis were longer (P<0.001). By stratified analysis, except subgroups of male patients and patients in stage III, patients knowing diagnosis showed a better prognosis in all the other subgroups (P<0.05). By Cox regression analysis, it was showed that not knowing cancer diagnosis was an independent risk factor for survival in breast cancer patients (P<0.001).Conclusions: Being aware of their cancer diagnosis plays a protective role in extending the survival time in breast cancer patients, which suggests medical staff and patients’ families disclose cancer diagnosis to patients timely.


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