scholarly journals Spiritual pain from persistent chemotherapy-induced peripheral neuropathy in colon cancer patients in Japan

2016 ◽  
Vol 5 (1) ◽  
pp. 9
Author(s):  
Ayumi Kyota ◽  
Kiyoko Kanda ◽  
Masako Honda ◽  
Kenji Nakazawa ◽  
Keiko Fujimoto
2014 ◽  
Vol 25 (2) ◽  
pp. 398-403 ◽  
Author(s):  
A. Custodio ◽  
J. Moreno-Rubio ◽  
J. Aparicio ◽  
J. Gallego-Plazas ◽  
R. Yaya ◽  
...  

2021 ◽  
pp. 1-9
Author(s):  
Matthias Zaiss ◽  
Jens Uhlig ◽  
Mark-Oliver Zahn ◽  
Thomas Decker ◽  
Helmar C. Lehmann ◽  
...  

<b><i>Introduction:</i></b> Chemotherapy-induced peripheral neuropathy (CIPN) is a common side effect persisting after completion of neurotoxic chemotherapies. This observational study was designed to evaluate the effectiveness of the dietary supplement OnLife® (patented mixture of specific fatty acids and palmitoylethanolamide) in improving symptoms of CIPN in breast and colon cancer patients. <b><i>Methods:</i></b> Improvement of CIPN was evaluated in adult patients, previously treated with (neo)adjuvant paclitaxel- (breast cancer) or oxaliplatin-based (colon cancer) therapies, receiving OnLife® for 3 months after completion of chemotherapy. The primary endpoint was to compare the severity of peripheral sensory neuropathy (PSN) and peripheral motor neuropathy (PMN) before and at the end of OnLife® treatment. Secondary endpoints included the assessment of patient-reported quality of life and CIPN symptoms as assessed by questionnaires. <b><i>Results:</i></b> 146 patients (<i>n</i> = 75 breast cancer patients and <i>n</i> = 71 colon cancer patients) qualified for analysis; 31.1% and 37.5% of breast cancer patients had an improvement of PSN and PMN, respectively. In colon cancer patients, PSN and PMN improved in 16.9% and 20.0% of patients, respectively. According to patient-reported outcomes, 45.9% and 37.5% of patients with paclitaxel-induced PSN and PMN, and 23.9% and 22.0% of patients with oxaliplatin-induced PSN and PMN experienced a reduction of CIPN symptoms, respectively. <b><i>Conclusion:</i></b> OnLife® treatment confirmed to be beneficial in reducing CIPN severity and in limiting the progression of neuropathy, more markedly in paclitaxel-treated patients and also in patients with oxaliplatin-induced CIPN.


Cancer ◽  
2011 ◽  
Vol 118 (11) ◽  
pp. 2828-2836 ◽  
Author(s):  
Hong-Hee Won ◽  
Jeeyun Lee ◽  
Joon Oh Park ◽  
Young Suk Park ◽  
Ho Yeong Lim ◽  
...  

2012 ◽  
Vol 50 (05) ◽  
Author(s):  
A Schöller ◽  
A Kalmár ◽  
VÁ Patai ◽  
Z Nagy ◽  
B Barták ◽  
...  

2006 ◽  
Vol 44 (05) ◽  
Author(s):  
M Rohánszky ◽  
A Nagy ◽  
G Bodoky ◽  
S Gallinger ◽  
R Gryfe

2020 ◽  
Author(s):  
Emre Yekedüz ◽  
Elif Berna Köksoy ◽  
Hakan Akbulut ◽  
Yüksel Ürün ◽  
Güngör Utkan

Aim: Using circulating tumor DNA (ctDNA) instead of historical clinicopathological factors to select patients for adjuvant chemotherapy (ACT) may reduce inappropriate therapy. Material & methods: MEDLINE was searched on March 31, 2020. Studies, including data related to the prognostic value of ctDNA in the colon cancer patients after surgery and after ACT, were included. The generic inverse-variance method with a random-effects model was used for meta-analysis. Results: Four studies were included for this meta-analysis. ctDNA-positive colon cancer patients after surgery and ACT had a significantly increased risk of recurrence compared with ctDNA-negative patients. Conclusions: ctDNA is an independent prognostic factor, and this meta-analysis is a significant step for using ctDNA instead of historical prognostic factors in the adjuvant setting.


Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2632
Author(s):  
Aparajita Budithi ◽  
Sumeyye Su ◽  
Arkadz Kirshtein ◽  
Leili Shahriyari

Many colon cancer patients show resistance to their treatments. Therefore, it is important to consider unique characteristic of each tumor to find the best treatment options for each patient. In this study, we develop a data driven mathematical model for interaction between the tumor microenvironment and FOLFIRI drug agents in colon cancer. Patients are divided into five distinct clusters based on their estimated immune cell fractions obtained from their primary tumors’ gene expression data. We then analyze the effects of drugs on cancer cells and immune cells in each group, and we observe different responses to the FOLFIRI drugs between patients in different immune groups. For instance, patients in cluster 3 with the highest T-reg/T-helper ratio respond better to the FOLFIRI treatment, while patients in cluster 2 with the lowest T-reg/T-helper ratio resist the treatment. Moreover, we use ROC curve to validate the model using the tumor status of the patients at their follow up, and the model predicts well for the earlier follow up days.


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