Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

ePoster Display

458P - Circulating tumor DNA analysis predicting recurrence risk in patients with stage I-III colorectal cancer

Date

16 Sep 2021

Session

ePoster Display

Topics

Clinical Research;  Translational Research;  Surgical Oncology

Tumour Site

Colon and Rectal Cancer

Presenters

Jin Gu

Citation

Annals of Oncology (2021) 32 (suppl_5): S530-S582. 10.1016/annonc/annonc698

Authors

J. Gu1, F. Lei2, X. Wang2, W. Huang2, X. He2, Y. Hong2, Q. Zeng2, Y. Wang2, Q. Gao2, P. Niu2, D. Huang2, Z. Gao2, C. Ding2, Z. Zhai2, K. An2, H. Chen3, X. Zhao3, S. Chen3, Y. Bai3

Author affiliations

  • 1 Department Of General Surgery, Peking University Cancer Hospital; Peking University Shougang Hospital, 100144 - beijing/CN
  • 2 Department Of General Surgery, Peking University Shougang Hospital, 100144 - beijing/CN
  • 3 The Medical Department, 3D Medicines Inc., 201114 - Shanghai/CN

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 458P

Background

Detection of ctDNA after surgery of stage I-III colorectal cancer (CRC) may identify patients with minimal residual disease (MRD) and help inform adjuvant treatment decisions. However, which ctDNA sequencing panel is suitable for monitoring MRD needs more technical research and clinical validation.

Methods

FFPE tumor tissues were collected from the surgical specimen of 40 CRC patients (stage I to III: 10%, 45%, 45%) between 2017 and 2018. Tissues and paired white blood cells were analyzed with a 733-gene NGS panel in a CLIA-certified laboratory. Blood samples were obtained before and 7-10 days after surgery. CtDNA was analyzed in a 127-gene panel with maximal coverage of recurrently mutated genes in CRC using Super-Seq technology-based assay, with median depth of 38678 X.

Results

Totally, the median age was 61 (range, 29-75) and 30% were female. Median follow-up was 31 months (range, 6-42 months). At least one somatic mutation was identified in the tumor tissue of 39 patients (one exclusion without eligible tissue DNA). For presurgical samples, ctDNA was detected in 78% (14/18) evaluable samples (stage I to III: 0 (0/1), 80% (8/10), 86% (6/7)). For postsurgical samples, ctDNA was detected in 16% (4/25) evaluable samples (stage I to III: 25% (1/4), 10% (1/10), 18% (2/11)) and 75% (3/4) ctDNA detectable patients recurred (stage I to III: 100% (1/1), 100% (1/1), 50% (2/2)). Detectable ctDNA after surgery was associated with inferior recurrence-free survival (RFS, HR 8.2; 95%CI, 1.8-38.0; p=0.0016) and inferior disease-free survival (HR 10.4; 95%CI, 2.5-43.1; p<0.0001). Notably, one patient recurred even with super-low frequency mutations (FBXW7 and KRAS, 0.07%) detected in postsurgical ctDNA. Patients with undetectable ctDNA after surgery had a trend of inferior RFS when receiving adjuvant chemotherapy (HR 57.2. 95%CI 0-184853.6; p=0.0629). There was no significant difference in RFS of patients with postsurgical detectable ctDNA receiving adjuvant chemotherapy or not.

Conclusions

CtDNA analysis based on Super-Seq technology assay could predict recurrence risk in stage I-III CRC. Patients with undetectable ctDNA after surgery might benefit little from adjuvant treatment. These findings need to be validated in a larger prospective trial.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.