ctDNA dynamics and prognostic value during first-line treatment of metastatic colorectal cancer: Analysis from the phase 3 PARADIGM study.

K Kentaro Yamazaki (Division of Gastrointestinal Oncology, Shizuoka Cancer Center, Sunto-Gun, Japan) R Riu Yamashita T Takayuki Yoshino (National Cancer Center Hospital East, Kashiwa, Japan) K Kohei Shitara J Jun Watanabe E Eiji Oki T Takeo Sato (Department of Biological Sciences, Faculty of Science, Hokkaido University) T Takeshi Naitoh (Department of Lower Gastrointestinal Surgery, Kitasato University School of Medicine, Sagamihara, Japan) Y Yoshito Komatsu T Takeshi Kato K Kazunori Yamanaka (Japan Medical Affairs, Japan Oncology Business Unit, Takeda Pharmaceutical Company Ltd., Tokyo, Japan) I Ikuo Mori (Japan Medical Affairs, Japan Oncology Business Unit, Takeda Pharmaceutical Company Ltd., Tokyo, Japan) J Junpei Soeda (Japan Medical Affairs, Japan Oncology Business Unit, Takeda Pharmaceutical Company Ltd., Tokyo, Japan) K Kouji Yamamoto (YCU Center for Novel and Exploratory Clinical Trials (Y-NEXT), Yokohama City University, Kanagawa, Japan) K Kiwamu Akagi (Center for Genomic Diagnosis, International University of Health and Welfare Narita Hospital, Tokyo, Japan) A Atsushi Ochiai (Research Institute for Biomedical Sciences, Tokyo University of Sciences, Tokyo, Japan) K Kei Muro (Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan) H Hiroyuki Uetake (National Hospital Organization, Disaster Medical Center, Tokyo, Japan) K Katsuya Tsuchihara (Division of Translational Informatics, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Chiba, Japan)

Abstract

3573 Background: The phase 3 PARADIGM trial showed overall survival (OS) and tumor response advantages of anti-EGFR (panitumumab, PAN) over anti-VEGF (bevacizumab, BEV) therapy with FOLFOX6 in first-line metastatic colorectal cancer (mCRC) despite similar progression-free survival (PFS), highlighting limitations of imaging-based PFS as a surrogate for clinical benefit. We investigated whether ctDNA dynamics provide more refined prognostic information complementary to baseline (BL) ctDNA. Methods: Plasma samples collected from 556 patients (pts) with mCRC paired at pre-treatment (BL) and post-treatment (after treatment discontinuation) were profiled for ctDNA. Distribution of the highest variant allele fraction was modeled using a Gaussian mixture model. At pre- and post-treatment, pts were classified into 3 groups—High, Mid, and Low—according to ctDNA levels. OS, post-treatment survival (PTS), and PFS were compared across 9 ctDNA dynamic categories (eg, High→Low, High→Mid, High→High) based on changes from pre- to post-treatment. Results: Lower BL ctDNA was significantly associated with longer OS (median OS [95% CI]: Low, n = 97, 50.7 mo [44.0–65.2]; Mid, n = 159, 34.1 mo [26.9–37.1]; High, n = 300, 27.8 mo [26.2–31.3]). BL ctDNA level also correlated with tumor volume and mutation burden. Pts with lower ctDNA at treatment discontinuation had longer PTS. Incorporating ctDNA dynamics provided additional prognostic value. Regardless of BL ctDNA level, pts whose post-treatment ctDNA decreased to Low had the best survival (eg, High→Low: 50.9 mo [35.8–61.0]), while pts with persistently high ctDNA showed the poorest survival (High→High: 23.3 mo [18.2–27.8]). The prognostic value of ctDNA dynamics was consistent across treatment arms. Among pts with High BL ctDNA (PAN, n = 152; BEV, n = 148), a greater proportion achieved Low ctDNA at post-treatment with PAN vs BEV (29 [19.1%] vs 16 [10.8%], p = 0.053), whereas the proportions achieving Mid ctDNA were similar (52 [34.2%] vs 58 [39.2%], p = 0.40). In the High→Low/Mid ctDNA subsets, treatment discontinuation following curative resection was more frequent with PAN vs BEV (High→Low: 18/29 [62.1%] vs 7/16 [43.8%]; High→Mid: 11/52 [21.2%] vs 5/58 [8.6%]). OS and PTS trends were favorable with PAN vs BEV (OS; High→Low: 61.0 vs 43.1 mo, HR 0.49, 95% CI 0.23–1.04; High→Mid: 33.6 vs 26.8 mo, HR 0.74, 95% CI 0.50–1.11, PTS; High→Low: 55.1 vs 39.0 mo, HR 0.48, 95% CI 0.22–1.03; High→Mid: 20.6 vs 19.4 mo, HR 0.72, 95% CI 0.48–1.07). Conclusions: ctDNA dynamics add prognostic value beyond BL ctDNA level. In pts with high BL ctDNA, PAN yielded more conversions into low ctDNA levels and discontinuations following curative resection, with OS/PTS trends favoring PAN. These findings suggest that ctDNA dynamics may better reflect long-term clinical benefit than PFS, although standardized thresholds and prospective validation are needed. Clinical trial information: NCT02394834 ; NCT02394795 .

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 3573-3573
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (19)

K

Kentaro Yamazaki

Division of Gastrointestinal Oncology, Shizuoka Cancer Center, Sunto-Gun, Japan

R

Riu Yamashita

T

Takayuki Yoshino

National Cancer Center Hospital East, Kashiwa, Japan

K

Kohei Shitara

J

Jun Watanabe

E

Eiji Oki

T

Takeo Sato

Department of Biological Sciences, Faculty of Science, Hokkaido University

T

Takeshi Naitoh

Department of Lower Gastrointestinal Surgery, Kitasato University School of Medicine, Sagamihara, Japan

Y

Yoshito Komatsu

T

Takeshi Kato

K

Kazunori Yamanaka

Japan Medical Affairs, Japan Oncology Business Unit, Takeda Pharmaceutical Company Ltd., Tokyo, Japan

I

Ikuo Mori

Japan Medical Affairs, Japan Oncology Business Unit, Takeda Pharmaceutical Company Ltd., Tokyo, Japan

J

Junpei Soeda

Japan Medical Affairs, Japan Oncology Business Unit, Takeda Pharmaceutical Company Ltd., Tokyo, Japan

K

Kouji Yamamoto

YCU Center for Novel and Exploratory Clinical Trials (Y-NEXT), Yokohama City University, Kanagawa, Japan

K

Kiwamu Akagi

Center for Genomic Diagnosis, International University of Health and Welfare Narita Hospital, Tokyo, Japan

A

Atsushi Ochiai

Research Institute for Biomedical Sciences, Tokyo University of Sciences, Tokyo, Japan

K

Kei Muro

Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan

H

Hiroyuki Uetake

National Hospital Organization, Disaster Medical Center, Tokyo, Japan

K

Katsuya Tsuchihara

Division of Translational Informatics, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Chiba, Japan