Abstract 5104
Background
Adjuvant treatment decisions for pts with eCRC are currently based on suboptimal risk stratification factors, especially for elderly pts. Metabolomics measures multiple cancer-related metabolites with potential to identify new biomarkers in this setting. We have shown that serum metabolomics can discriminate pts with eCRC from pts with metastatic CRC (mCRC). We hypothesized that a metabolomic score derived from pts with mCRC may identify pts with eCRC with an increased risk of relapse. This hypothesis was tested in a cohort of elderly pts with eCRC.
Methods
Serum samples from 103 pts aged ≥70 were collected from four clinical trials with 5 years follow up. These samples were derived from 55 pts with eCRC, and 48 with mCRC. Samples were retrospectively analyzed via proton nuclear magnetic resonance (1H NMR), to assess their metabolomic fingerprints. A Random Forest (RF) classification model was built using a training set of 30 eCRC pts free from relapse at 5 years and all mCRC pts (N = 48). This model was then applied to a validation set constituted by the remaining eCRC pts (10 relapse-free and 15 relapsed). A risk-of-recurrence score was built on the basis of the likelihood of the sample being misclassified as metastatic.
Results
In the eCRC group, 44% (n = 24) received adjuvant chemotherapy, and 27% (n = 15) experienced relapse. In the training set, the RF model discriminated eCRC from mCRC with an accuracy of 74.4%. The RF risk of recurrence score correlated with relapse, with an AUC of 0.754 in ROC analysis. In the training set, by maximizing specificity and sensitivity, a threshold for the RF score was set at 0.55. In the validation set, using this threshold, an AUC of 0.727 in ROC analysis, and a prediction accuracy of 76% (73.3% sensitivity, 80% specificity) were obtained in predicting relapse.
Conclusions
Serum metabolomics performed on post-operative samples of elderly pts with eCRC identifies pts with higher risk of relapse with good accuracy. This may represent a tool to refine risk stratification in this population, to maximize the benefit from adjuvant chemotherapy. Based on these results, a prospective trial is ongoing (LIquid BIopsy and METabolomics in CRC - LIBIMET).
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Fondazione Sandro Pitigliani per la Lotto Contro i Tumori - ONLUS.
Disclosure
S. Di Donato: Advisory / Consultancy, Travel / Accommodation / Expenses: Amgen; Advisory / Consultancy, Travel / Accommodation / Expenses: Lilly; Advisory / Consultancy, Travel / Accommodation / Expenses: Roche; Advisory / Consultancy, Travel / Accommodation / Expenses: Servier; Travel / Accommodation / Expenses: Celgene; Advisory / Consultancy, Travel / Accommodation / Expenses: Sanofi; Advisory / Consultancy, Travel / Accommodation / Expenses: Bayer. E. Mori: Travel / Accommodation / Expenses: Bayer. L. Malorni: Honoraria (self): AstraZeneca; Advisory / Consultancy: Novartis; Travel / Accommodation / Expenses: Janssen; Honoraria (self), Advisory / Consultancy, Research grant / Funding (self): Pfizer; Travel / Accommodation / Expenses: Roche. D. Becheri: Travel / Accommodation / Expenses: Daiichi-Sankyo; Travel / Accommodation / Expenses: Bristol-Myers Squibb. A. Di Leo: Honoraria (self), Advisory / Consultancy, Research grant / Funding (institution), Travel / Accommodation / Expenses: AstraZeneca; Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Bayer; Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Celgene; Advisory / Consultancy, Travel / Accommodation / Expenses: Daiichi-Sankyo; Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Eisai; Advisory / Consultancy: Genentech; Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Genomic Health; Honoraria (self), Advisory / Consultancy, Research grant / Funding (self): Lilly; Honoraria (self), Advisory / Consultancy, Research grant / Funding (self), Travel / Accommodation / Expenses: Novartis; Honoraria (self), Advisory / Consultancy, Research grant / Funding (self), Travel / Accommodation / Expenses: Pfizer; Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Pierre Fabre; Advisory / Consultancy, Travel / Accommodation / Expenses: Puma Biotechnology; Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Roche. L. Biganzoli: Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Astrazeneca; Honoraria (self), Advisory / Consultancy, Research grant / Funding (self), Travel / Accommodation / Expenses: Celgene; Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Eisai; Advisory / Consultancy, Research grant / Funding (self), Travel / Accommodation / Expenses: Genomic Health; Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Ipsen; Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Lilly; Honoraria (self), Advisory / Consultancy, Research grant / Funding (self), Travel / Accommodation / Expenses: Novartis; Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Pfizer; Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Pierre Fabre; Honoraria (self), Advisory / Consultancy, Travel / Accommodation / Expenses: Roche. All other authors have declared no conflicts of interest.
Resources from the same session
5612 - Evaluation of germ line mutational status among women with triple-negative breast cancer in Russia
Presenter: Elena Shagimardanova
Session: Poster Display session 2
Resources:
Abstract
4142 - Association of derived neutrophil-to-lymphocyte ratio (dNLR) with pathological complete response (pCR) after neoadjuvant chemotherapy (CT)
Presenter: Alberto Ocaña
Session: Poster Display session 2
Resources:
Abstract
1733 - Competing nomogram for late-period breast cancer-specific death in patients with early-stage hormone receptor-positive breast cancer
Presenter: Jianfei Fu
Session: Poster Display session 2
Resources:
Abstract
1978 - A Nomogram to Predict Pathologic Complete Response of Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer Based on Simple Blood Indicators
Presenter: Fanrong Zhang
Session: Poster Display session 2
Resources:
Abstract
3062 - Identification of GSTP1 transferred by extracellular vesicles responsible for adriamycin-resistance in breast cancer cells
Presenter: Sujin Yang
Session: Poster Display session 2
Resources:
Abstract
5274 - Expression of X-linked Inhibitor of Apoptosis Protein (XIAP) and its Association with Clinicopathological Parameters in Invasive Breast Cancers
Presenter: Gayathri Devi
Session: Poster Display session 2
Resources:
Abstract
1324 - The prognostic significance of preoperative tumor marker (CEA, CA15-3) elevation in breast cancer patients
Presenter: Soo Youn Bae
Session: Poster Display session 2
Resources:
Abstract
4877 - Correlation of clinical and pathological features with the tumour microenvironment in DCIS. An institutional experience
Presenter: Ann Eapen
Session: Poster Display session 2
Resources:
Abstract
2471 - Correlation between radiologic complete response (rCR) in contrast-enhanced magnetic resonance imaging (CE-MRI) after neoadjuvant chemotherapy for early breast cancer and pathologic complete response and their impact in recurrence-free survival
Presenter: Ariadna Gasol Cudos
Session: Poster Display session 2
Resources:
Abstract
2632 - Ring-like uptake appearance on dedicated breast positron emission tomography before chemotherapy predicts outcome of neoadjuvant chemotherapy in breast cancer
Presenter: Norio Masumoto
Session: Poster Display session 2
Resources:
Abstract