Abstract 3799
Background
Colorectal carcinoma 5-year survival ranges from 90% in patients with localized disease to 15% for those with distant metastasis. Recent research has suggested that hypermutation may predict response to immunotherapy in these tumors, but routine tests for microsatellite (MS) instability miss tumours which acquire hypermutation through other mechanisms. Tumour mutational burden (TMB) measured by next-generation sequencing has been proposed to overcome this limitation.
Methods
A commercially available next-generation sequencing panel targeting 409 cancer-relevant genes was validated for TMB measurement using 12 MS stable and 14 MS instable metastatic colorectal carcinomas, defined by routine testing of MS loci. The same panel was applied to 53 untested colorectal carcinomas with matched synchronous metastases, collected across 10 years to determine both their TMB and presence of KRAS/BRAF mutations.
Results
All samples could be sequenced at a mean coverage depth of 766x and uniformity of 97%. Mean TMB (mutations/megabase) was 8.84 for MS stable vs. 33.36 for MS instable cases in the assay validation cohort. A cut-off value of 15.56 reached 100% sensitivity (95% CI 77-100%) and 100% specificity (95% CI 73-100%). Analysis of the 10 years cohort showed KRAS mutation in 25 cases and BRAF mutation in 4; automated TMB analysis was feasible for samples collected within 7 years (n = 16), while in older specimens DNA deamination caused artefactual calls. 14 cases showed a low TMB in both primary and metastasis, one MS instable case showed high TMB in both primary and metastasis, and one MS stable case showed low TMB (11.61) in the primary and a higher TMB (21.37) in the metastasis. The mutational signature of the metastatic sample showed C>A transversions (11%), missing in the primary tumour, suggesting an additional mutational mechanism.
Conclusions
Gene panel-based TMB analysis can be performed on routine histology samples to detect both hypermutation and cancer relevant somatic mutations. Analysis of older samples may lead to deamination artifacts, which can however be revealed by mutational signature analysis.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Aldo Scarpa (ARC-NET Cancer Research Centre).
Funding
Associazione Italiana Ricerca Cancro [AIRC grant n. 12182].
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
2671 - Luminal B breast cancer prognosis prediction by comprehensive analysis of Homeobox genes
Presenter: Ayako Nakashoji
Session: Poster Display session 3
Resources:
Abstract
2650 - Long non-coding RNA E2F4as promotes tumor progression and predicts patient prognosis in human ovarian cancer
Presenter: Sun-Ae Park
Session: Poster Display session 3
Resources:
Abstract
1462 - FGF19 promotes esophageal squamous cell carcinoma progression by inhibiting autophagy
Presenter: Lisha Ying
Session: Poster Display session 3
Resources:
Abstract
5787 - Proof of concept on the role of ex vivo lung cancer spheroids, cytokines expression and PBMCs profiling in monitoring disease history and response to treatments.
Presenter: Raimondo Di Liello
Session: Poster Display session 3
Resources:
Abstract
5253 - Circulating microRNAs related to DNA damage response as predictors of survival in metastatic non- small cell lung cancer patients treated with platinum-based chemotherapy
Presenter: Dimitris Mavroudis
Session: Poster Display session 3
Resources:
Abstract
5286 - Prognostic value of CTCs in advanced NSCLC patients treated with platinum-based chemotherapy
Presenter: Silvia Calabuig-Fariñas
Session: Poster Display session 3
Resources:
Abstract
5781 - Exosomes in NSCLC as a source of biomarkers
Presenter: Elena Duréndez
Session: Poster Display session 3
Resources:
Abstract
1447 - The role of Pim-1 in the development and progression of papillary thyroid carcinoma
Presenter: Xin Zhu
Session: Poster Display session 3
Resources:
Abstract
1323 - Development and Validation of a RNA-Seq Based Prognostic Signature in Neuroblastoma
Presenter: Jian-Guo Zhou
Session: Poster Display session 3
Resources:
Abstract
3290 - Identification of meningioma patients in high risk of tumor recurrence using microRNA profiling
Presenter: Josef Srovnal
Session: Poster Display session 3
Resources:
Abstract