Circulating tumor DNA predicts recurrence and survival in patients with resectable gastric and gastroesophageal junction cancer.

Circulating tumor DNA Curative treatment DNA methylation Gastroesophageal cancer Tumor biomarkers

Journal

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
ISSN: 1436-3305
Titre abrégé: Gastric Cancer
Pays: Japan
ID NLM: 100886238

Informations de publication

Date de publication:
05 Oct 2024
Historique:
received: 27 03 2024
accepted: 23 09 2024
medline: 6 10 2024
pubmed: 6 10 2024
entrez: 5 10 2024
Statut: aheadofprint

Résumé

Gastric and gastroesophageal junction (GEJ) cancer represents a significant global health challenge, with high recurrence rates and poor survival outcomes. This study investigates circulating tumor DNA (ctDNA) as a biomarker for assessing recurrence risk in patients with resectable gastric and GEJ adenocarcinomas (AC). Patients with resectable gastric and GEJ AC, undergoing perioperative chemotherapy and surgery, were prospectively enrolled. Serial plasma samples were collected at baseline, after one cycle of chemotherapy, after preoperative chemotherapy, and after surgery. ctDNA was assessed by a ddPCR test (TriMeth), which targets the gastrointestinal cancer-specific methylation patterns of the genes C9orf50, KCNQ5, and CLIP4. ctDNA analysis was performed on 229 plasma samples from 86 patients. At baseline, ctDNA was detected in 56% of patients, which decreased to 37% following one cycle of chemotherapy, 25% after preoperative chemotherapy and 15% after surgical resection. The presence of ctDNA after one cycle of chemotherapy was associated with reduced recurrence-free survival (RFS) (HR = 2.54, 95% confidence interval (CI) 1.33-4.85, p = 0.005) and overall survival (OS) (HR = 2.23, 95% CI 1.07-4.62, p = 0.032). Similarly, ctDNA after surgery was associated with significantly shorter RFS (HR = 6.22, 95% CI 2.39-16.2, p < 0.001) and OS (HR = 6.37, 95% CI 2.10-19.3, p = 0.001). Multivariable regression analysis confirmed ctDNA after surgery as an independent prognostic factor (p < 0.001). ctDNA analysis has the potential to identify patients at elevated risk of recurrence, thus providing personalized treatment strategies for patients with resectable gastric and GEJ cancer. Further validation in larger cohorts and ctDNA-guided interventions are needed for future clinical use.

Sections du résumé

BACKGROUND BACKGROUND
Gastric and gastroesophageal junction (GEJ) cancer represents a significant global health challenge, with high recurrence rates and poor survival outcomes. This study investigates circulating tumor DNA (ctDNA) as a biomarker for assessing recurrence risk in patients with resectable gastric and GEJ adenocarcinomas (AC).
METHODS METHODS
Patients with resectable gastric and GEJ AC, undergoing perioperative chemotherapy and surgery, were prospectively enrolled. Serial plasma samples were collected at baseline, after one cycle of chemotherapy, after preoperative chemotherapy, and after surgery. ctDNA was assessed by a ddPCR test (TriMeth), which targets the gastrointestinal cancer-specific methylation patterns of the genes C9orf50, KCNQ5, and CLIP4.
RESULTS RESULTS
ctDNA analysis was performed on 229 plasma samples from 86 patients. At baseline, ctDNA was detected in 56% of patients, which decreased to 37% following one cycle of chemotherapy, 25% after preoperative chemotherapy and 15% after surgical resection. The presence of ctDNA after one cycle of chemotherapy was associated with reduced recurrence-free survival (RFS) (HR = 2.54, 95% confidence interval (CI) 1.33-4.85, p = 0.005) and overall survival (OS) (HR = 2.23, 95% CI 1.07-4.62, p = 0.032). Similarly, ctDNA after surgery was associated with significantly shorter RFS (HR = 6.22, 95% CI 2.39-16.2, p < 0.001) and OS (HR = 6.37, 95% CI 2.10-19.3, p = 0.001). Multivariable regression analysis confirmed ctDNA after surgery as an independent prognostic factor (p < 0.001).
CONCLUSION CONCLUSIONS
ctDNA analysis has the potential to identify patients at elevated risk of recurrence, thus providing personalized treatment strategies for patients with resectable gastric and GEJ cancer. Further validation in larger cohorts and ctDNA-guided interventions are needed for future clinical use.

Identifiants

pubmed: 39369091
doi: 10.1007/s10120-024-01556-9
pii: 10.1007/s10120-024-01556-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Kræftens Bekæmpelse
ID : R320-A18521
Organisme : Kræftens Bekæmpelse
ID : R257-A14700
Organisme : Dansk Kræftforsknings Fond
ID : DKF-2021-104 - (704)
Organisme : DCCC ctDNA Research Center - The Danish Research Center for Circulating Tumor DNA Guided Cancer Management
ID : 20220926_3
Organisme : DCCC ctDNA Research Center - The Danish Research Center for Circulating Tumor DNA Guided Cancer Management
ID : 200414-10
Organisme : Novo Nordisk Fonden
ID : NNF22OC0074415
Organisme : Sygeforsikring Danmark
ID : 2020-0412

Informations de copyright

© 2024. The Author(s).

Références

Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.
doi: 10.3322/caac.21660 pubmed: 33538338
GLOBOCAN [Internet]. Lyon: World Health Organization, International Agency for Research on Cancer; c2024 [cited 2024 Feb 10]. Available from: https://gco.iarc.fr/
Karimi P, Islami F, Anandasabapathy S, Freedman ND, Kamangar F. Gastric cancer: descriptive epidemiology, risk factors, screening, and prevention. Cancer Epidemiol Biomarkers Prev. 2014;23(5):700–13.
doi: 10.1158/1055-9965.EPI-13-1057 pubmed: 24618998 pmcid: 4019373
Obermannová R, Alsina M, Cervantes A, Leong T, Lordick F, Nilsson M, et al. Oesophageal cancer: ESMO clinical practice guideline for diagnosis, treatment and follow-up. Ann Oncol. 2022;33(10):992–1004.
doi: 10.1016/j.annonc.2022.07.003 pubmed: 35914638
Lordick F, Carneiro F, Cascinu S, Fleitas T, Haustermans K, Piessen G, et al. Gastric cancer: ESMO clinical practice guideline for diagnosis, treatment and follow-up. Ann Oncol. 2022;33(10):1005–20.
doi: 10.1016/j.annonc.2022.07.004 pubmed: 35914639
Al-Batran SE, Homann N, Pauligk C, Goetze TO, Meiler J, Kasper S, et al. Perioperative chemotherapy with fluorouracil plus leucovorin, oxaliplatin, and docetaxel versus fluorouracil or capecitabine plus cisplatin and epirubicin for locally advanced, resectable gastric or gastro-oesophageal junction adenocarcinoma (FLOT4): a randomised, phase 2/3 trial. Lancet. 2019;393(10184):1948–57.
doi: 10.1016/S0140-6736(18)32557-1 pubmed: 30982686
Smyth EC, Nilsson M, Grabsch HI, van Grieken NC, Lordick F. Gastric cancer. Lancet. 2020;396(10251):635–48.
doi: 10.1016/S0140-6736(20)31288-5 pubmed: 32861308
Leal A, van Grieken NCT, Palsgrove DN, Phallen J, Medina JE, Hruban C, et al. White blood cell and cell-free DNA analyses for detection of residual disease in gastric cancer. Nat Commun. 2020;11(1):525.
doi: 10.1038/s41467-020-14310-3 pubmed: 31988276 pmcid: 6985115
Cohen SA, Liu MC, Aleshin A. Practical recommendations for using ctDNA in clinical decision making. Nature. 2023;619(7969):259–68.
doi: 10.1038/s41586-023-06225-y pubmed: 37438589
Pascual J, Attard G, Bidard FC, Curigliano G, De Mattos-Arruda L, Diehn M, et al. ESMO recommendations on the use of circulating tumour DNA assays for patients with cancer: a report from the ESMO precision medicine working group. Ann Oncol. 2022;33(8):750–68.
doi: 10.1016/j.annonc.2022.05.520 pubmed: 35809752
Wan JCM, Massie C, Garcia-Corbacho J, Mouliere F, Brenton JD, Caldas C, et al. Liquid biopsies come of age: towards implementation of circulating tumour DNA. Nat Rev Cancer. 2017;17(4):223–38.
doi: 10.1038/nrc.2017.7 pubmed: 28233803
Christensen E, Birkenkamp-Demtröder K, Sethi H, Shchegrova S, Salari R, Nordentoft I, et al. Early detection of metastatic relapse and monitoring of therapeutic efficacy by ultra-deep sequencing of plasma cell-free DNA in patients with urothelial bladder carcinoma. J Clin Oncol. 2019;37(18):1547–57.
doi: 10.1200/JCO.18.02052 pubmed: 31059311
Gale D, Heider K, Ruiz-Valdepenas A, Hackinger S, Perry M, Marsico G, et al. Residual ctDNA after treatment predicts early relapse in patients with early stage non-small cell lung cancer. Ann Oncol. 2022;33(5):500–10.
doi: 10.1016/j.annonc.2022.02.007 pubmed: 35306155
Øgaard N, Reinert T, Henriksen TV, Frydendahl A, Aagaard E, Orntoft MW, et al. Tumour-agnostic circulating tumour DNA analysis for improved recurrence surveillance after resection of colorectal liver metastases: a prospective cohort study. Eur J Cancer. 2022;163:163–76.
doi: 10.1016/j.ejca.2021.12.026 pubmed: 35074652
Ococks E, Frankell AM, Masque Soler N, Grehan N, Northrop A, Coles H, et al. Longitudinal tracking of 97 esophageal adenocarcinomas using liquid biopsy sampling. Ann Oncol. 2021;32(4):522–32.
doi: 10.1016/j.annonc.2020.12.010 pubmed: 33359547
Kim YW, Kim YH, Song Y, Kim HS, Sim HW, Poojan S, et al. Monitoring circulating tumor DNA by analyzing personalized cancer-specific rearrangements to detect recurrence in gastric cancer. Exp Mol Med. 2019;51(8):1–10.
pubmed: 31827074 pmcid: 6881327
Liu MC, Oxnard GR, Klein EA, Swanton C, Seiden MV, Consortium C. Sensitive and specific multi-cancer detection and localization using methylation signatures in cell-free DNA. Ann Oncol. 2020;31(6):745–59.
doi: 10.1016/j.annonc.2020.02.011 pubmed: 33506766
Shen SY, Singhania R, Fehringer G, Chakravarthy A, Roehrl MHA, Chadwick D, et al. Sensitive tumour detection and classification using plasma cell-free DNA methylomes. Nature. 2018;563(7732):579–83.
doi: 10.1038/s41586-018-0703-0 pubmed: 30429608
Jensen SO, Ogaard N, Nielsen HJ, Bramsen JB, Andersen CL. Enhanced performance of DNA methylation markers by simultaneous measurement of sense and antisense DNA strands after cytosine conversion. Clin Chem. 2020;66(7):925–33.
doi: 10.1093/clinchem/hvaa100 pubmed: 32460325
Jensen SO, Ogaard N, Orntoft MW, Rasmussen MH, Bramsen JB, Kristensen H, et al. Novel DNA methylation biomarkers show high sensitivity and specificity for blood-based detection of colorectal cancer-a clinical biomarker discovery and validation study. Clin Epigenetics. 2019;11(1):158.
doi: 10.1186/s13148-019-0757-3 pubmed: 31727158 pmcid: 6854894
Øgaard N, Iden CR, Jensen SO, Mustafa SM, Aagard E, Bramnsen JB, et al. DNA methylation markers for sensitive detection og circulating tumor DNA in patients with gastroesophageal cancers. medRxiv 2024.03.04.24303699 [Preprint]. March 04, 2024 [cited 2024 Mar 19]. Available from:  https://doi.org/10.1101/2024.03.04.24303699
ClinicalTrials.gov [Internet]. Bethesda: U.S. National Library of Medicine; Identifier: NCT04576858; c2024 [cited 2024 Feb 10]. Available from: https://classic.clinicaltrials.gov/ct2/show/results/NCT04576858
Cabel L, Decraene C, Bieche I, Pierga JY, Bennamoun M, Fuks D, et al. Limited sensitivity of circulating tumor DNA detection by droplet digital PCR in non-metastatic operable gastric cancer patients. Cancers (Basel). 2019;11(3):396.
doi: 10.3390/cancers11030396 pubmed: 30901876
UCFS Data Resources [Internet]. San Fransisco: University of San Fransisco Sample Size Calculators; c2024 [cited 2024 Feb 10]. Available from: https://data.ucsf.edu/research/sample-size
Schoefeld DA. Sample size formula for the proportional-hazards regression model. Biometrics. 1983;39:499–503.
doi: 10.2307/2531021
DMCG [Internet]. Aarhus: Onkologisk behandling af patienter med kurable karcinomer i esophagus og ventrikel; c2024 [cited 2024 Feb 10]. Available from: https://www.dmcg.dk/siteassets/kliniske-retningslinjer---skabeloner-og-vejledninger/kliniske-retningslinjer-opdelt-pa-dmcg/degc/degc_onko_bh_pati_kur_-karcin_esop_ventrikel_v.2.0_admgodk_010223.pdf
DMCG [Internet]. Aarhus: Kirurgisk behandling af karcinom i esophagus inkl. gastroesophageale overgang; c2024 [cited 2024 Feb 10]. Available from: https://www.dmcg.dk/siteassets/kliniske-retningslinjer---skabeloner-og-vejledninger/kliniske-retningslinjer-opdelt-pa-dmcg/degc/degc_kir_beh_esophagus_v.2.0_admgodk_130223.pdf
Li H, Zhao G, Guo Y, Fang Y, Wang K, Ma Y, et al. Feasibility and reproducibility of a plasma-based multiplex DNA methylation assay for early detection of gastric cancer. Pathol Res Pract. 2022;238: 154086.
doi: 10.1016/j.prp.2022.154086 pubmed: 36031696
Yang J, Gong Y, Lam VK, Shi Y, Guan Y, Zhang Y, et al. Deep sequencing of circulating tumor DNA detects molecular residual disease and predicts recurrence in gastric cancer. Cell Death Dis. 2020;11:346.
doi: 10.1038/s41419-020-2531-z pubmed: 32393783 pmcid: 7214415
Egyud M, Tejani M, Pennathur A, Luketich J, Sridhar P, Yamada E, et al. Detection of circulating tumor DNA in plasma: a potential biomarker for esophageal adenocarcinoma. Ann Thorac Surg. 2019;108:343–9.
doi: 10.1016/j.athoracsur.2019.04.004 pubmed: 31059681 pmcid: 6676214
Openshaw MR, Suwaidan AA, Ottolini B, Fernandez-Garcia D, Richards CJ, Page K, et al. Longitudinal monitoring of circulating tumour DNA improves prognostication and relapse detection in gastroesophageal adenocarcinoma. Br J Cancer. 2020;123(8):1271–9.
doi: 10.1038/s41416-020-1002-8 pubmed: 32719550 pmcid: 7555811
Huffman BM, Aushev VN, Budde GL, Chao J, Dayyani F, Hanna D, et al. Analysis of circulating tumor DNA to predict risk of recurrence in patients with esophageal and gastric cancers. JCO Precis Oncol. 2022;6: e2200420.
doi: 10.1200/PO.22.00420 pubmed: 36480779 pmcid: 10530958
Zannan A, et al. Longitudinal circulating tumor DNA (ctDNA) analysis during treatment (Tx) of locally advanced resectable (LAR) gastric or gastroesopageal junction (G/GEJ) adenocarcinoma (ADENOCA): the PLAGAST prospective biomarker study. Poster session presented at: ASCO Annual Meeting; 2024 May 31-June 4; Chicago, IL.

Auteurs

Cecilie Riis Iden (CR)

Department of Oncology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.

Salah Mohammad Mustafa (SM)

Department of Molecular Medicine, Aarhus University Hospital, Palle Juul-Jensens, Boulevard 99, 8200, Aarhus N, Denmark.
Institute of Clinical Medicine, Faculty of Health, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus N, Denmark.

Nadia Øgaard (N)

Department of Molecular Medicine, Aarhus University Hospital, Palle Juul-Jensens, Boulevard 99, 8200, Aarhus N, Denmark.
Institute of Clinical Medicine, Faculty of Health, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus N, Denmark.

Tenna Henriksen (T)

Department of Molecular Medicine, Aarhus University Hospital, Palle Juul-Jensens, Boulevard 99, 8200, Aarhus N, Denmark.
Institute of Clinical Medicine, Faculty of Health, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus N, Denmark.

Sarah Østrup Jensen (SØ)

Department of Molecular Medicine, Aarhus University Hospital, Palle Juul-Jensens, Boulevard 99, 8200, Aarhus N, Denmark.
Institute of Clinical Medicine, Faculty of Health, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus N, Denmark.

Lise Barlebo Ahlborn (LB)

Department of Genomic Medicine, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.

Kristian Egebjerg (K)

Department of Oncology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.

Lene Baeksgaard (L)

Department of Oncology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.

Rajendra Singh Garbyal (RS)

Department of Pathology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.

Mette Kjølhede Nedergaard (MK)

Department of Pathology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.

Michael Patrick Achiam (MP)

Department of Surgery & Transplantation, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.

Claus Lindbjerg Andersen (CL)

Department of Molecular Medicine, Aarhus University Hospital, Palle Juul-Jensens, Boulevard 99, 8200, Aarhus N, Denmark.
Institute of Clinical Medicine, Faculty of Health, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus N, Denmark.

Morten Mau-Sørensen (M)

Department of Oncology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark. mms@rh.regionh.dk.

Classifications MeSH