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Evans RP, Kamarajah SK, Kunene V, Zardo D, Elshafie M, Griffiths EA. Impact of neoadjuvant chemotherapy on nodal regression and survival in oesophageal adenocarcinoma. Eur J Surg Oncol 2021; 48:1001-1010. [PMID: 34974947 DOI: 10.1016/j.ejso.2021.12.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 11/02/2021] [Accepted: 12/17/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND The prognostic value of lymph node regression (LNR) following neoadjuvant chemotherapy (nCT) for oesophageal and gastro-oeosphageal adenocarcinoma remains unclear. This study aimed to characterise the long-term survival outcomes of LNR in patients having resectional surgery after nCT. METHODS This study included patients undergoing oesophagectomy or extended total gastrectomy for oesophageal and junctional tumours (Siewert types 1,2,3) at the Queen Elizabeth Hospital Birmingham from 2012 to 2018. Lymph nodes retrieved at surgery were examined for evidence of a response to chemotherapy. Patients were classified as lymph node-negative (either negative nodes with no evidence of previous tumour involvement or negative with evidence of complete regression) or positive with either partial or no response. RESULTS This study identified 183 patients who received nCT, of which 71% (130/183) had positive lymph nodes. Of these 130 patients, 44% (57/130) had a lymph node response and 56% (73/130) did not. The remaining 53 patients (29.0%) had negative lymph nodes with no evidence of tumour. Lymph node responders had a significant survival benefit compared to patients without lymph node response, but shorter than those with negative lymph nodes (median: 27 vs 18 vs NR months, p < 0·001). On multivariable analysis, lymph node responders had an improved overall (Hazard ratio (HR): 0.86, 95% CI: 0.80-0.92, p < 0.001) and recurrence-free (HR: 0.90, 95% CI: 0.82-0.98, p = 0.030) survival. CONCLUSION Lymph node regression is an important prognostic factor, warranting closer evaluation over primary tumour response to help with planning further adjuvant therapy in these patients.
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Affiliation(s)
- Richard Pt Evans
- Department of Upper Gastrointestinal Surgery, University Hospitals Birmingham NHS Foundation Trust, UK; Institute of Immunology and Immunotherapy, University of Birmingham, UK
| | - Sivesh K Kamarajah
- Department of Upper Gastrointestinal Surgery, University Hospitals Birmingham NHS Foundation Trust, UK; Institute of Cancer and Genomic Science, University of Birmingham, UK
| | - Victoria Kunene
- Department of Oncology, University Hospitals Birmingham NHS Foundation Trust, UK
| | - Davide Zardo
- Department of Pathology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; Department of Pathology, San Bortolo Hospital, Vicenza, Italy
| | - Mona Elshafie
- Department of Pathology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Ewen A Griffiths
- Department of Upper Gastrointestinal Surgery, University Hospitals Birmingham NHS Foundation Trust, UK; Institute of Cancer and Genomic Science, University of Birmingham, UK.
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Sun Y, Wu X, Lin H, Lu X, Huang Y, Chi P. Lymph Node Regression to Neoadjuvant Chemoradiotherapy in Patients with Locally Advanced Rectal Cancer: Prognostic Implication and a Predictive Model. J Gastrointest Surg 2021; 25:1019-28. [PMID: 32219686 DOI: 10.1007/s11605-020-04566-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 03/01/2020] [Indexed: 01/31/2023]
Abstract
AIM Currently, few studies have focused on the prognostic impact of lymph node regression to neoadjuvant chemoradiotherapy (NCRT) in rectal cancer. This study aimed to explore the prognostic impact of lymph node regression grade (LRG) in patients with locally advanced rectal cancer (LARC) following NCRT and radical surgery and develop a predictive nomogram for disease-free survival (DFS). METHODS LARC patients undergoing NCRT and radical surgery between 2013 and 2014 were enrolled and divided into LRG low (≤ 2), middle (3-9), and high (≥ 10) groups. Clinicopathological characteristics and survival outcomes were compared. Predictors for DFS were identified by Cox regression analysis, and a nomogram was constructed. RESULTS A total of 257 LARC patients were eligible, including LRG low (n = 149), middle (n = 59), and high (n = 49) groups. Higher LRG score was associated with higher TRG, more advanced ypT and ypN stages, and poorer OS and DFS (all P < 0.001). Cox regression analysis demonstrated that tumor differentiation (poor and anaplastic, HR = 2.048, P = 0.048), ypTNM stage (HR = 2.389, P = 0.015), and LRG-sum (HR = 1.020, P = 0.029) were independent prognostic determinants for DFS after NCRT. A nomogram for DFS was developed with a C-index of 0.68 (95%CI 0.64-0.72). CONCLUSION LRG is an important prognostic indicator for DFS in LARC patients after NCRT. A predictive nomogram based on LRG was developed to guide more tailored adjuvant treatment and surveillance.
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Koemans WJ, Larue RTHM, Kloft M, Ruisch JE, Compter I, Riedl RG, Heij LR, van Elmpt W, Berbée M, Buijsen J, Lambin P, Sosef MN, Grabsch HI. Lymph node response to chemoradiotherapy in oesophageal cancer patients: relationship with radiotherapy fields. Esophagus 2021; 18:100-110. [PMID: 32889674 PMCID: PMC7794105 DOI: 10.1007/s10388-020-00777-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 08/24/2020] [Indexed: 02/03/2023]
Abstract
BACKGROUND The presence of lymph node metastasis (LNmets) is a poor prognostic factor in oesophageal cancer (OeC) patients treated with neoadjuvant chemoradiotherapy (nCRT) followed by surgery. Tumour regression grade (TRG) in LNmets has been suggested as a predictor for survival. The aim of this study was to investigate whether TRG in LNmets is related to their location within the radiotherapy (RT) field. METHODS Histopathological TRG was retrospectively classified in 2565 lymph nodes (LNs) from 117 OeC patients treated with nCRT and surgery as: (A) no tumour, no signs of regression; (B) tumour without regression; (C) viable tumour and regression; and (D) complete response. Multivariate survival analysis was used to investigate the relationship between LN location within the RT field, pathological TRG of the LN and TRG of the primary tumour. RESULTS In 63 (54%) patients, viable tumour cells or signs of regression were seen in 264 (10.2%) LNs which were classified as TRG-B (n = 56), C (n = 104) or D (n = 104) LNs. 73% of B, C and D LNs were located within the RT field. There was a trend towards a relationship between LN response and anatomical LN location with respect to the RT field (p = 0.052). Multivariate analysis showed that only the presence of LNmets within the RT field with TRG-B is related to poor overall survival. CONCLUSION Patients have the best survival if all LNmets show tumour regression, even if LNmets are located outside the RT field. Response in LNmets to nCRT is heterogeneous which warrants further studies to better understand underlying mechanisms.
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Affiliation(s)
- Willem J. Koemans
- Department of Surgery, Zuyderland Medical Center, Heerlen/Sittard, The Netherlands ,grid.412966.e0000 0004 0480 1382Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands ,grid.430814.aDepartment of Surgical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Ruben T. H. M. Larue
- grid.412966.e0000 0004 0480 1382Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands ,grid.412966.e0000 0004 0480 1382The D-Lab, Department of Precision Medicine, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Maximilian Kloft
- grid.412966.e0000 0004 0480 1382Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Jessica E. Ruisch
- grid.412966.e0000 0004 0480 1382Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Inge Compter
- grid.412966.e0000 0004 0480 1382Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Robert G. Riedl
- Department of Pathology, Zuyderland Medical Center, Heerlen/Sittard, The Netherlands
| | - Lara R. Heij
- grid.412301.50000 0000 8653 1507Department of General, Gastrointestinal, Hepatobiliary and Transplant Surgery, RWTH Aachen University Hospital, Aachen, Germany ,grid.412301.50000 0000 8653 1507Department of Pathology, RWTH Aachen University Hospital, Aachen, Germany
| | - Wouter van Elmpt
- grid.412966.e0000 0004 0480 1382Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Maaike Berbée
- grid.412966.e0000 0004 0480 1382Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Jeroen Buijsen
- grid.412966.e0000 0004 0480 1382Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Philippe Lambin
- grid.412966.e0000 0004 0480 1382The D-Lab, Department of Precision Medicine, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Meindert N. Sosef
- Department of Surgery, Zuyderland Medical Center, Heerlen/Sittard, The Netherlands
| | - Heike I. Grabsch
- grid.412966.e0000 0004 0480 1382Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands ,grid.9909.90000 0004 1936 8403Pathology and Data Analytics, Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
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