Predicting response to neoadjuvant chemotherapy in patients with oesophageal adenocarcinoma.


Journal

Acta oncologica (Stockholm, Sweden)
ISSN: 1651-226X
Titre abrégé: Acta Oncol
Pays: England
ID NLM: 8709065

Informations de publication

Date de publication:
Dec 2021
Historique:
pubmed: 7 10 2021
medline: 15 12 2021
entrez: 6 10 2021
Statut: ppublish

Résumé

Neoadjuvant chemotherapy is often used prior to surgical resection for oesophageal adenocarcinoma but remains ineffective in a high proportion of patients. The histological Mandard tumour regression grade is used to determine chemoresponse but is not available at the time of treatment decision-making. The aim of this cohort study was to identify factors that predict chemotherapy response prior to surgery. A prospectively collected database of patients undergoing surgical resection for oesophageal adenocarcinoma from a high-volume UK institution was used. Patients were subcategorised using pathological tumour response into 'responders' (Mandard grade 1-3) and 'non-responders' (Mandard grade 4 and 5). Multivariable logistic regression analysis was performed to calculate crude and adjusted odds ratios (OR) with 95% confidence intervals (CI) for responder status adjusting for a variety of parameters. Receiver operating characteristic (ROC) curves were calculated. Among 315 patients included, 102 (32%) were responders and 213 (68%) non-responders. A decrease in radiological tumour volume (OR 1.92 95%CI 1.02-3.62; This study has highlighted the potential for using pre-defined factors to identify those patients who have responded to neoadjuvant chemotherapy, prior to surgical resection, potentially facilitating a more individualised therapeutic approach.

Sections du résumé

BACKGROUND BACKGROUND
Neoadjuvant chemotherapy is often used prior to surgical resection for oesophageal adenocarcinoma but remains ineffective in a high proportion of patients. The histological Mandard tumour regression grade is used to determine chemoresponse but is not available at the time of treatment decision-making. The aim of this cohort study was to identify factors that predict chemotherapy response prior to surgery.
METHODS METHODS
A prospectively collected database of patients undergoing surgical resection for oesophageal adenocarcinoma from a high-volume UK institution was used. Patients were subcategorised using pathological tumour response into 'responders' (Mandard grade 1-3) and 'non-responders' (Mandard grade 4 and 5). Multivariable logistic regression analysis was performed to calculate crude and adjusted odds ratios (OR) with 95% confidence intervals (CI) for responder status adjusting for a variety of parameters. Receiver operating characteristic (ROC) curves were calculated.
RESULTS RESULTS
Among 315 patients included, 102 (32%) were responders and 213 (68%) non-responders. A decrease in radiological tumour volume (OR 1.92 95%CI 1.02-3.62;
CONCLUSION CONCLUSIONS
This study has highlighted the potential for using pre-defined factors to identify those patients who have responded to neoadjuvant chemotherapy, prior to surgical resection, potentially facilitating a more individualised therapeutic approach.

Identifiants

pubmed: 34613874
doi: 10.1080/0284186X.2021.1986228
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1629-1636

Auteurs

Rebecca K Bott (RK)

Department of Upper Gastrointestinal and General Surgery, St Thomas' Hospital, London, UK.
School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.

Gincy George (G)

School of Cancer and Pharmaceutical Sciences, Translational Oncology and Urology Research (TOUR), King's College London, London, UK.

Ricardo McEwen (R)

Department of Upper Gastrointestinal and General Surgery, St Thomas' Hospital, London, UK.

Janine Zylstra (J)

Department of Upper Gastrointestinal and General Surgery, St Thomas' Hospital, London, UK.

William R C Knight (WRC)

Department of Upper Gastrointestinal and General Surgery, St Thomas' Hospital, London, UK.
School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.

Cara R Baker (CR)

Department of Upper Gastrointestinal and General Surgery, St Thomas' Hospital, London, UK.
School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.

Mark Kelly (M)

Department of Upper Gastrointestinal and General Surgery, St Thomas' Hospital, London, UK.
School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.

Nyree Griffin (N)

Department of Radiology, St Thomas' Hospital, London, UK.

Naami McAddy (N)

Department of Radiology, St Thomas' Hospital, London, UK.

Nick Maisey (N)

Department of Medical Oncology, Guy's Hospital London, London, UK.

Mieke Van Hemelrijck (M)

School of Cancer and Pharmaceutical Sciences, Translational Oncology and Urology Research (TOUR), King's College London, London, UK.

James A Gossage (JA)

Department of Upper Gastrointestinal and General Surgery, St Thomas' Hospital, London, UK.
School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.

Jesper Lagergren (J)

School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.
Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.

Andrew R Davies (AR)

Department of Upper Gastrointestinal and General Surgery, St Thomas' Hospital, London, UK.
School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.

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Classifications MeSH