scholarly journals Real world use of palliative systemic therapy (tx) in elderly patients (pts) with metastatic colorectal cancer (mCRC) within a UK specialist cancer centre

2017 ◽  
Vol 28 ◽  
pp. x48
Author(s):  
S. Khakoo ◽  
A. Georgiou ◽  
D. Hughes ◽  
A. Lanese ◽  
C. Baratelli ◽  
...  
2021 ◽  
Vol 41 (12) ◽  
pp. 6211-6216
Author(s):  
MASATSUNE SHIBUTANI ◽  
WANG EN ◽  
YUKI OKAZAKI ◽  
SHINICHIRO KASHIWAGI ◽  
TATSUNARI FUKUOKA ◽  
...  

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e17559-e17559
Author(s):  
M. D. Seal ◽  
G. R. Pond ◽  
T. Wilkieson ◽  
S. J. Hotte

e17559 Background: There is little data on whether geographic distance from patient residence to a treatment facility is a predictor of systemic therapy utilization or clinical trial (CT) enrollment. Therefore a retrospective chart review was undertaken to investigate this variable. Methods: Consecutive patients with metastatic colorectal cancer (mCRC) assessed by a medical oncologist at the Juravinski Cancer Centre (JCC), Ontario during 2006 were selected. Patients with pathology other than adenocarcinoma and those with complete surgical resection of metastases were excluded. Distance and time to JCC were calculated using online mapping software. The study received full ethics approval. Results: 276 patients were included with full data available on 169 patients. Median travel time and distance to JCC were 23.0 minutes (min) and 19.2 kilometers (km), respectively. The maximum travel time was 120 min and 87% of patients lived within 60 min of JCC. Distance and time were highly correlated (p<0.0001). Overall, 43% of patients had discussed a CT with their oncologist and 20% enrolled in a CT. Patients living >50 km from JCC were less likely to discuss a CT (38%) or participate in a CT (15%) than patients who lived 25–50 km (39% and 19%) or <25 km (47% and 23%) from JCC. These trends did not attain statistical significance (odds ratio [OR] = 0.88, 95% CI = 0.66–1.17, p = 0.39 for CT discussion, OR = 0.76, 95% CI = 0.54–1.08, p = 0.13 for CT enrollment). Distance was not a statistically significant (p = 0.42) predictor of number of treatment regimens, however, 44% of patients <25 km from JCC received 3 or more lines of treatment compared with 33% of patients ≥25 km away. No association with survival was observed. Conclusions: Patients with mCRC living ≥25 km from JCC received fewer systemic regimens and were less likely to discuss or enter a CT. These trends were not statistically significant. Data collection is ongoing to increase the power of this study. No significant financial relationships to disclose.


Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2762
Author(s):  
Samantha Di Donato ◽  
Alessia Vignoli ◽  
Chiara Biagioni ◽  
Luca Malorni ◽  
Elena Mori ◽  
...  

Adjuvant treatment for patients with early stage colorectal cancer (eCRC) is currently based on suboptimal risk stratification, especially for elderly patients. Metabolomics may improve the identification of patients with residual micrometastases after surgery. In this retrospective study, we hypothesized that metabolomic fingerprinting could improve risk stratification in patients with eCRC. Serum samples obtained after surgery from 94 elderly patients with eCRC (65 relapse free and 29 relapsed, after 5-years median follow up), and from 75 elderly patients with metastatic colorectal cancer (mCRC) obtained before a new line of chemotherapy, were retrospectively analyzed via proton nuclear magnetic resonance spectroscopy. The prognostic role of metabolomics in patients with eCRC was assessed using Kaplan–Meier curves. PCA-CA-kNN could discriminate the metabolomic fingerprint of patients with relapse-free eCRC and mCRC (70.0% accuracy using NOESY spectra). This model was used to classify the samples of patients with relapsed eCRC: 69% of eCRC patients with relapse were predicted as metastatic. The metabolomic classification was strongly associated with prognosis (p-value 0.0005, HR 3.64), independently of tumor stage. In conclusion, metabolomics could be an innovative tool to refine risk stratification in elderly patients with eCRC. Based on these results, a prospective trial aimed at improving risk stratification by metabolomic fingerprinting (LIBIMET) is ongoing.


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