Skip to main content
Journal of Clinical Oncology logoLink to Journal of Clinical Oncology
. 2023 Oct 3;42(1):70–80. doi: 10.1200/JCO.23.00586

International Validation of the Immunoscore Biopsy in Patients With Rectal Cancer Managed by a Watch-and-Wait Strategy

Carine El Sissy 1,2,3,4, Amos Kirilovsky 1,2,3,4, Christine Lagorce Pagès 1,2,3,4,5, Florence Marliot 1,2,3,4, Petra A Custers 6,7, Edina Dizdarevic 8,9, Marine Sroussi 10,11, Mireia Castillo-Martin 12, Nacilla Haicheur 1,2,3,4, Mohamed Dermani 1,2,3,4, Nicolas Loche 1,2,3,4, Bénedicte Buttard 1,2,3, Ana Maria Musina 13,14, Maria Gabriela Anitei 14,15, José G van den Berg 16, Annegien Broeks 17, Soledad Iseas 18, Mariana Coraglio 18, Fernando Sanchez Loria 19, Alfredo Romero 20, Pierre Laurent-Puig 21,22, Aurélien de Reyniès 23,24, Laura M Fernandez 25, Mehdi Karoui 26, David Tougeron 27, Carlos A Vaccaro 28, Juan P Santino 28, Laurids Østergaard Poulsen 8,9, Jan Lindebjerg 8,9, Juan Manuel O'Connor 19, Viorel Scripcariu 14,15, Mihail-Gabriel Dimofte 13,14, Jean-Pierre Gérard 29, Myriam Chalabi 30, Nuno Figueiredo 25, Rodrigo O Perez 31,32,33, Angelita Habr-Gama 31,32,33, Jérôme Galon 1,2,3, Torben Frøstrup Hansen 8,9, Lars Henrik Jensen 8,9, Geerard Beets 6,7, Guy Zeitoun 1,2,3,4, Franck Pagès 1,2,3,4,
PMCID: PMC10730081  PMID: 37788410

Abstract

PURPOSE

No biomarker capable of improving selection and monitoring of patients with rectal cancer managed by watch-and-wait (W&W) strategy is currently available. Prognostic performance of the Immunoscore biopsy (ISB) was recently suggested in a preliminary study.

METHODS

This international validation study included 249 patients with clinical complete response (cCR) managed by W&W strategy. Intratumoral CD3+ and CD8+ T cells were quantified on pretreatment rectal biopsies by digital pathology and converted to ISB. The primary end point was time to recurrence (TTR; the time from the end of neoadjuvant treatment to the date of local regrowth or distant metastasis). Associations between ISB and outcomes were analyzed by stratified Cox regression adjusted for confounders. Immune status of tumor-draining lymph nodes (n = 161) of 17 additional patients treated by neoadjuvant chemoradiotherapy and surgery was investigated by 3'RNA-Seq and immunofluorescence.

RESULTS

Recurrence-free rates at 5 years were 91.3% (82.4%-100.0%), 62.5% (53.2%-73.3%), and 53.1% (42.4%-66.5%) with ISB High, ISB Intermediate, and ISB Low, respectively (hazard ratio [HR; Low v High], 6.51; 95% CI, 1.99 to 21.28; log-rank P = .0004). ISB was also significantly associated with disease-free survival (log-rank P = .0002), and predicted both local regrowth and distant metastasis. In multivariate analysis, ISB was independent of patient age, sex, tumor location, cT stage (T, primary tumor; c, clinical), cN stage (N, regional lymph node; c, clinical), and was the strongest predictor for TTR (HR [ISB High v Low], 6.93; 95% CI, 2.08 to 23.15; P = .0017). The addition of ISB to a clinical-based model significantly improved the prediction of recurrence. Finally, B-cell proliferation and memory in draining lymph nodes was evidenced in the draining lymph nodes of patients with cCR.

CONCLUSION

The ISB is validated as a biomarker to predict both local regrowth and distant metastasis, with a gradual scaling of the risk of pejorative outcome.

INTRODUCTION

The National Comprehensive Cancer Network guidelines for locally advanced rectal cancer (LARC) recommend treatment combining neoadjuvant chemoradiotherapy (nCRT), surgical resection with total mesorectal excision (TME), and if necessary, additional adjuvant chemotherapy.1 Rectal resection with TME is accompanied by a high risk of poorer quality of life (QOL) arising from impaired anal, bowel, urinary, and sexual functions.2 Since the rectal cancer incidence increases significantly in patients younger than 50 years, improving the QOL of patients with rectal cancer is of major importance.3 The observed 10%-30% rate of pathologic complete response (pCR) after nCRT and more recently 28%-50% rate of pCR after additional induction or consolidation chemotherapy4-6 have prompted the development of the so-called watch-and-wait (W&W) strategy, pioneered by Habr-Gama et al.7 A large international registry-based study, the International Watch & Wait Database has shown satisfying long-term oncologic outcomes and superiority in terms of QOL.8 A validated biomarker that could improve the accuracy of patients' selection, monitoring, and prognostic is awaited for the widespread adoption of such preservative strategy.9

CONTEXT

  • Key Objective

  • Watch-and-wait (W&W) strategy is a preservative strategy for patients with rectal cancer with clinical complete response after neoadjuvant chemoradiotherapy. We conducted a multicenter international, retrospective validation cohort study of 249 W&W patients to confirm the utility of the Immunoscore biopsy (ISB) performed on pretreatment biopsies to predict time to recurrence (TTR).

  • Knowledge Generated

  • ISB categories are significantly associated with a gradual scaling of the risk of both local regrowth and distant metastasis (ISB High v Intermediate v Low). ISB is independent and superior to clinical parameters in predicting TTR and improves the predictive model when combined to them.

  • Relevance (E.M. O'Reilly)

  • This manuscript further adds to the body of evidence supporting the use of ISB as a marker of outcome in colorectal cancers. Specifically, the potential value of ISB as an important prognostic tool is illustrated in non-operative management of localized rectal cancer.*

    *Relevance section written by JCO Associate Editor Eileen Mary O'Reilly, MD.

We showed that intratumoral immune contexture of tumors assessed by the test Immunoscore (IS) is a dominant determinant of clinical outcome in patients with early- and advanced-stage colorectal cancer.10-12 To our knowledge, the IS test is the first and only internationally validated12 standardized assay13 for quantifying the immune infiltrate. The intratumoral immune quantification has been added to the 2019 WHO classification of tumors of the digestive systems,14 and the IS is now recommended by the European Society for Medical Oncology (ESMO) and Pan-Asian adapted ESMO Clinical Practice Guidelines for prognostic purpose in patients with localized colon cancer.15,16

In rectal cancer, Garcia-Aguilar and colleagues showed that a local hot immune signature in the tumor before treatment is associated with increased response to nCRT and prolonged disease-free survival (DFS).17 Furthermore, patients with LARC deficient in mismatch repair achieved a 100% complete response rate after PD-1 blockade, strongly suggesting that the in situ immune response boosted by the treatment can eradicate the tumor and prevent recurrences.18 We also evidenced that an IS biopsy (ISB) performed at diagnosis predicts response to neoadjuvant treatment (nT)19,20 and strongly complements imaging data in so doing. Clinical utility of ISB in patients managed by W&W strategy was further suggested: ISB was an independent prognostic factor related to time to recurrence (TTR) in a test cohort of 73 patients.20

The primary objective of the current study was to validate, through a large multicentric independent cohort of W&W patients, the ability of the ISB performed on pretreatment biopsies to predict TTR. Additionally, we questioned the putative immune benefits of not removing tumor-draining lymph nodes in the W&W strategy.

METHODS

Study Design and Patients

This validation cohort included patients (n = 249) who had available initial biopsies of stage I-III rectal cancer, a cCR after nT, and who were managed by a W&W strategy between 1989 and 2020, in seven centers across six countries (Fig 1A; Table 1; Data Supplement, Fig S1 [online only]). Previously published clinical data from a multicenter cohort of 73 W&W patients (test cohort) with available ISB were updated for this study.20 The different combinations of nT are shown in Table 1, with long course CRT being the most commonly used regimen. Mean time between the end of nT and the response assessment varied from 7 to 10 weeks. Response to nT was assessed with digital rectal examination, endoscopy, and radiologic imaging modalities, detailed in the Data Supplement. Patients were categorized as clinical complete responders according to each center's modalities. Median follow-up of patients was 40.7 months (standard deviation [SD], 15 months). Local tumor regrowth was defined as any regrowth at the primary tumor site or in the regional lymph nodes. Evidence of distant metastasis was determined by computed tomography of the chest, abdomen, and pelvis. Recurrence was defined as either local tumor regrowth or the presence of distant metastasis. Seventeen additional patients with rectal cancer treated by long-course nCRT followed by surgery (ie, proctectomy with TME; noninclusion in W&W strategy) were further investigated. Nine patients were with cCR and eight with non-cCR (Data Supplement, Table S1). These nine patients with cCR had a very good pathologic response to nCRT (no or rare isolated tumor cells in the specimen). The immune status of draining lymph nodes from patients with cCR were determined and compared with that of patients with non-cCR. Ethical approval was obtained according to local authorities per participating institute.

FIG 1.

FIG 1.

ISB in patients with rectal cancer managed by the W&W strategy: study design, ISB methodology, and prognostic value. (A) Flow chart of the ISB multicenter study design (further details are provided in the Data Supplement). (B) Left: representative image of biopsy analysis; the tumor region is selected (pink), and normal tissue or dysplasia (blue) are excluded from the analysis. Middle: representative detection by the software of positive CD3+ and CD8+ T cells infiltrating the rectal tumor of the patient with ISB High. Right: chart illustrating the ISB calculation method. Densities of CD3+ and CD8+ T cells (cells/mm2) in the tumor region are converted into percentile values using predefined cutoffs. The mean percentile of the two markers is calculated to generate ISB mean score value, where ISB Low, ISB Int, and ISB High subgroups are reflected by 0%-25%, >25% to 70%, and >70% to 100% percentile, respectively. (C) Time to recurrence and (D) DFS according to ISB Low (red), ISB Int (blue), and ISB High (green) in W&W patients with cCR. Log-rank statistical test is stratified by the type of neoadjuvant radiotherapy (standard without intensification, external intensification, or [contact] brachytherapy). aEl Sissy et al.20 *P < .05; **P < .01; ***P < .001; ****P < .0001. cCR, clinical complete response; DFS, disease-free survival; Int, Intermediate; ISB, Immunoscore biopsy; Ptft, P test for trend; TTR, time to recurrence; W&W, watch-and-wait.

TABLE 1.

Characteristics of Participants

graphic file with name jco-42-70-g002.jpg

Procedures

ISB was determined as previously described20 in the coordinating center (Immunomonitoring Platform, Georges Pompidou European Hospital, Paris, France). Briefly, two biopsy sections of 4 μm of all available diagnostic biopsies were processed for CD3 and CD8 immunostainings. An experienced pathologist (C.L.) from the coordinating center reviewed the delimitation of the tumoral component and assessed the immunostaining quality for all cases, leading to exclusion of 14 cases. Stained cells were quantified using a previously validated IS module of the image analysis software Developer XD (Definiens).13 CD3+ and CD8+ densities were converted into percentiles using predefined cutoffs.20 The mean percentiles were translated into ISB categories: ISB Low (0%-25%), ISB Intermediate ([Int] >25% to 70%), and ISB High (>70% to 100%; Fig 1B; Data Supplement) as established in the international validation of the consensus IS.12 ISB determination was performed blinded to the study end point.

To investigate lymph nodes, lymphatic vessels of the medulla, B lymphocytes, and proliferative cells were detected with antibodies against Lyve-1, CD20, and Ki67, respectively. The Tissue Classifier Module of Halo (Indica Labs, Albuquerque NM) was used to detect cortex area (CD20+), paracortex area (CD3+), and medulla area (Lyve1+). Multiplex immunofluorescence panel (CD20, CD27, CD38, DAPI) was used for B-cell memory detection and analyzed with HALO AI software.

For each patient, total RNA was isolated from 20-μm FFPE slices from highly (Ki67+) or weakly (Ki67-) proliferative lymph nodes using the Allprep DNA/RNA FFPE kit (Qiagen Inc, Valencia, CA). PolyA-RNAseq libraries were prepared using the QuantSeq 3'mRNA-Seq Kit FWD for Illumina (Lexogen, Vienna, Austria). Further details of the procedures are provided in the Data Supplement.

Outcomes

The primary end point was to evaluate the prognostic value of ISB for TTR, defined as time from the end of nT to the first occurrence of local regrowth or distant metastasis. Additional outcome of interest was DFS, defined as the time from the end of nT to the first observation of disease recurrence or death from any cause.

Statistical Analysis and Data Visualization

The associations between ISB and clinical characteristics were assessed through ANOVA tests for continuous variable (age), chi-squared tests (χ2; for sex, pretreatment cTNM and cN (N, regional lymph node; c, clinical) stages, and type of nRT), or Fisher tests (for tumor location, and cT [T, primary tumor; c, clinical] stage) of independence for categorical variables. Survival univariate analyses were performed using the log-rank test and the Cox proportional hazards model. The log-rank test for trend was performed to detect ordered differences in survival curves. The corrected Harrell's C-index21 with 1,000× bootstrap resampling was used to assess ISB discriminatory ability, accounting for potential model overfitting. Calibration accuracy was evaluated for 5-year estimates from the Cox model, using adaptive linear spline hazard regression.

Multivariate survival analyses were performed with the Cox models. The relative importance of each parameter to survival risk was assessed by the χ2 proportion (rms R package). The accuracy of models was evaluated by the integrated area under the ROC curve (iAUC) with 1,000× bootstrap resampling. The performance of risk prediction models was compared using the likelihood ratio P value. Stratification by type of neoadjuvant radiotherapy was applied to the Cox models and log-rank tests. The confounded measures of association were log-rank, Wald, and likelihood ratio P values, and hazard ratios. The Wilcoxon-Mann-Whitney test was used in lymph nodes analysis. Two-sided P values < .05 were considered statistically significant. Statistical analyses and data visualizations were performed using the R software version 4.1.2 (R foundation, Vienna, Austria).

RESULTS

Patient Population Characteristics and ISB Determination

A multicenter validation cohort of 249 patients was investigated, from seven centers across six countries (Data Supplement, Fig S1), with cCR after nCRT and managed with the W&W strategy. This independent validation cohort complements the study conducted on a test cohort of 73 W&W patients20 (Fig 1A) with the aim to confirm the ISB prognostic performance. Clinical and biological characteristics of patients are provided in Table 1 and the Data Supplement (Table S2). A mean of four biopsies (SD, 2.7) per patient was assessed for ISB determination (Fig 1B). Mean counts of CD3+ and CD8+ T cells were 1,251 and 281 cells/mm2, respectively. ISB Low, Int, and High were observed in 30.9%, 55.0%, and 14.1% of patients, respectively (Table 1), and were similar to that observed in the previously published test cohort. No significant association was observed between ISB categories and clinical characteristics (Data Supplement, Table S3).

ISB and Clinical Outcomes in Patients From the Validation Cohort

After a 5-year follow-up, 58 (23.3%) patients had local regrowth, 15 (6.0%) experienced distant metastasis, and 7 (2.8%) patients had both events (Table 1). Thirteen (5.2%) patients died. ISB identified three populations with significantly different survival profiles for TTR in univariate analysis stratified by treatment (ISB High v ISB Int: unadjusted hazard ratio [HR], 4.3 [95% CI, 1.3 to 14.0]; ISB High v ISB Low: HR, 6.5 [95% CI, 2.0 to 21.3]; log-rank P = .0016; P test for trend (Ptft) = .0006; bootstrap C-index, 0.61; Fig 1C; Data Supplement, Table S4). Recurrence-free rates at 5 years were 91.3% (95% CI, 82.4 to 100.0), 62.5% (95% CI, 53.2 to 73.3), and 53.1% (95% CI, 42.4 to 66.5) for ISB High, Int, and Low, respectively (Data Supplement, Table S4). Similar results were found for the predictive performance of ISB for DFS (log-rank P = .0002, bootstrap C-index, 0.62; Fig 1D; Data Supplement, Table S5). The relative restricted mean survival time analysis evidenced significant differences in the survival months without recurrence gained according to ISB categories (all P < .001; Data Supplement, Tables S4 and S5). In accordance, immune densities expressed as a continuous variable (mean score of percentiles for CD3+ and CD8+ densities) illustrated a progressive risk of recurrence with decreasing immune densities (Wald test P = .0017; Data Supplement, Fig S2 and Table S4).

The Cox multivariable analysis stratified by treatment for TTR and DFS (Data Supplement, Fig S3), adjusted for ISB categories, age, sex, cT stage, and cN stage, showed that age, cT4, and ISB were significantly associated with clinical outcomes (TTR: ISB High v Int and v Low HR, 4.6 [95% CI, 1.4 to 15] and 6.9 [95% CI, 2.1 to 23.1], respectively; all P < .05; bootstrap C-index, 0.63; DFS: all P < .01; bootstrap C-index, 0.63). ISB in three categories (the primary objective) was confirmed in the validation cohort as an independent prognostic factor for TTR in patients with cCR managed by W&W strategy.

Overall Clinical Performance of the ISB in the Whole Cohort of Patients Managed by a W&W Strategy

To ensure a comprehensive assessment of the predictive performance of ISB with increased statistical power and to allow for subgroup analyses, we pooled patients from both the test and validation cohorts (n = 322; Data Supplement, Fig S4). A calibration plot showed a good correlation of ISB prediction and actual observation for 5-year TTR (Data Supplement, Fig S5). Multivariable analysis confirmed the independent prognostic value of ISB for TTR (ISB High v Int and v Low HR, 4.3 [95% CI, 1.5 to 12.1] and HR, 6.7 [95% CI, 2.4 to 19.2], respectively; all P < .01; bootstrap C-index, 0.64; Fig 2) and for DFS (all P < .005; bootstrap C-index, 0.63; Data Supplement, Fig S3), together with age and cT4.

FIG 2.

FIG 2.

Multivariable time to recurrence survival analysis in the test and validation cohorts (n = 317). The model is stratified by neoadjuvant radiotherapy type (standard without intensification, external intensification, or [contact] brachytherapy). c, clinical; HR, hazard ratio; Int, Intermediate; ISB, Immunoscore biopsy; N, regional lymph node; T, primary tumor; TTR, time to recurrence.

ISB categorization further predicts both local regrowth and distant metastasis with a bootstrap C-index of 0.60 for each subgroup (Figs 3A and 3B). The HR between ISB Low versus ISB High for local regrowth and distant metastasis was 6.3 (95% CI, 1.9 to 20.7; log-rank Ptft = .0004) and 6.7 (95% CI, 0.87 to 51.7; log-rank Ptft = .029), respectively. Organ preservation rates at 3 years and 5 years also differed significantly between ISB categories (ISB High v Low, all P < .01; Fig 3C). The predictive accuracy for TTR of all parameters on the basis of iAUC with 1,000× bootstrap resampling showed that ISB was superior to clinical parameters (Fig 3D). The relative contribution for TTR prediction of ISB was 49% compared with 31% for age and 18% for cT stage. Importantly, the addition of ISB to a model including all clinical variables significantly improved the prediction for TTR (likelihood ratio test; P < .0001; Fig 3D).

FIG 3.

FIG 3.

ISB and clinical outcome. Comparison with clinicopathologic parameters. Cumulative incidence of (A) local regrowth and (B) distant metastasis in W&W patients from the test and the validation cohorts (n = 322 patients), according to ISB categories. (C) The 3- and 5-year organ-preservation rates in W&W patients with cCR according to ISB categories. (D) Box plot of the predictive accuracy for TTR on the basis of the incremental area under the curve with 1,000× bootstrap resampling for each parameter. The log likelihood ratio test between clinical model and clinical model plus ISB is shown. The relative importance of each risk parameter to recurrence risk using the χ2 proportion test is shown in the pie chart. §cN, tumor location, and sex represent <2% of the relative contribution. *P < .05; **P < .01; ***P < .001; ****P < .0001. c, clinical; cCR, clinical complete response; iAUC, integrated area under the ROC curve; Int, Intermediate; ISB, immunoscore biopsy; N, regional lymph node; Ptft, P test for trend; T, primary tumor; TTR, time to recurrence; W&W, watch-and-wait.

Immune Status of the Draining Lymph Nodes

The observed inverse correlation between ISB and recurrence suggests the involvement of the immune response in the control of the disease after nT. We hypothesized that the drainage lymph nodes left in place by a W&W strategy are the site of immune education. The immune status of draining lymph nodes from nine patients with cCR (potentially eligible to W&W strategy) treated by proctectomy after nCRT were compared with eight patients with non-cCR, for a total of 161 lymph nodes. Lymph nodes from patients with cCR exhibited signs of activation, with an increase of proliferating lymphocytes (KI67+) in the cortex, paracortex, and medulla (all P < .01; Figs 4A and 4B), compared with patients with non-cCR. Differences were particularly pronounced in the cortex, the site of B lymphocyte development, and the medulla where lymphocytes circulate. In accordance, an increased expression of B-cell genes (18/30) and of memory B-cell densities (CD20+, CD27+, and CD38–) was detected in proliferative lymph nodes of patients with cCR (Figs 4C and 4D). A significantly higher density of proliferative B lymphocytes (CD20+ and Ki67+) was also detected in lymph nodes of patients with cCR compared with patients with non-cCR (Fig 4D). Thus, by using a unique cohort of patients with cCR taken to surgery and confirmed to have no or rare isolated tumor cells in the final resected specimen, we observed B-cell activation and increased proliferating lymphocytes in the draining lymph nodes.

FIG 4.

FIG 4.

Immune status of the draining lymph nodes of rectal cancer patients with or without cCR to neoadjuvant chemoradiotherapy. Illustrations from the left to the right of (1) double immunostaining of Ki-67 (brown) and Lyve-1 (red) in lymph nodes, (2) recognition of regions of interests: follicle (blue), germinal center (yellow), and medulla (red) by the software (Classifier module, Halo), (3) focus on a follicle with Ki-67+ cells, and (4) detection of nuclei (blue) and Ki67+ cells (brown). (B) Ki67+ cell densities in lymph node regions (cortex, paracortex, and medulla) of cCR (R) or non-cCR (NR) to neoadjuvant chemoradiotherapy. (C) Heatmaps of genes associated with B cells according to proliferative (Ki67) status of lymph nodes and response status (R) of the patients to nCRT. Gene expression level is represented as a color gradient from low (blue) to high (red) intensity. Only overexpressed genes among pathologic complete response proliferative (Ki67 hi) lymph nodes in responders are shown (18/30 expressed genes). (D) Upper left: immunofluorescence staining for proliferative B-cell panel (Ki67 in yellow, CD20 in pink, and double positive in orange) in a draining lymph node. Lower left: immunofluorescence staining for memory B-cell panel (CD27 in yellow, CD38 in pink, and CD20 in blue) in a draining lymph node. Upper right: proliferative B-cell densities in lymph nodes of responders compared with nonresponders. Lower right: memory B-cell densities in lymph nodes of responders Ki67 high compared with control (nonresponders Ki67 low). *P < .05; **P < .01; ***P < .001; ****P < .0001. cCR, clinical complete response; cpm, read counts per million of reads; nCRT, neoadjuvant chemoradiotherapy; NR, nonresponders; R, responders.

DISCUSSION

In rectal cancer, the W&W strategy offers patients with cCR after nCRT the possibility of organ preservation. However, 25% of these patients will eventually relapse,8 partly because of the limitations of the consensus criteria used to anticipate pCR at the tumor site22 and assess residual lymph node involvement.23 In addition, even pCR patients (5%-15%) can experience local recurrence or distant metastasis.24 Thus, W&W is proposed for patients who potentially harbor tumoral islands not visible by standard clinical means at the primary tumor site and/or distant subclinical metastasis.

A large spectrum of clinical and histopathologic features, molecular markers, and tumor environment–derived factors have been shown to predict pCR.25 However, their clinical utility remains unclear as their validation in independent cohorts is lacking. Furthermore, except ISB,20 the prognostic performance of these biomarkers in W&W patients have yet not been tested. Only baseline cT stage26,27 and total radiotherapy dose27 could predict local regrowth during the first year of follow-up.27 The results from our previous study showed that ISB determination improves pCR prediction and could provide a prognostic biomarker in W&W patients.20 This study confirms through a multicenter validation cohort that ISB in three categories (the primary objective) is an independent parameter predicting TTR. The 5-year risk of recurrence for ISB High patients was almost null, with adverse events occurring only during the first year after nCRT. Conversely, ISB Low patients had an almost 50% risk for recurrence with events occurring during the 5 years after nCRT.

Refining patient selection and lowering local regrowth rates would make the W&W approach more generalizable.9 ISB could fulfill these two objectives by providing a good risk scale for local regrowth, allowing adaptation of monitoring and/or complementary treatments. Shared decision making in cancer treatment, especially in rectal cancer with organ preservation, is likely to play an increasing role.28 ISB could be a decision aid to help the physician and the patient make an informed choice by providing an improved accuracy of relapse probability, hence improving decision quality. Alternative proposals could be considered for patients with a high risk of recurrence, for example, (1) noninclusion in the W&W strategy, (2) local tumor resection,29 (3) intensification of the monitoring,30 (4) consolidation chemotherapy,6 (5) and, in a close future, immune modulation. ISB could serve as a companion biomarker for clinical trials assessing the benefits of adjusting the monitoring and/or the therapeutic strategy in patient groups with different prognoses.

From a fundamental perspective, high quality of in situ immune infiltration before treatment could promote an immediate response to nCRT and decrease recurrences by inducing immune surveillance. Interestingly, we have now observed signs of additional B lymphocyte activation in the draining lymph nodes of patients with cCR. Although hypothetical and speculative, these findings raise the possibility that the preserved lymph nodes in the W&W strategy may not only be considered as a risk factor for local recurrence, but also as a relevant immune site. If further confirmed by a large-scale study, this would provide an unexpected additional argument in favor of the organ-preservative strategy.

Our work has some limitations. First, IS was determined on biopsies with heterogeneity pitfalls. However, we previously observed that two fields of 1 mm2 were sufficient to obtain a reproducible prediction of recurrence.13 Herein, a mean of 14 mm2 of tumor area was investigated per patient. Second, heterogeneity of treatment and follow-up modalities was observed among different centers across countries. Such an approach, however, illustrates the prognostic performance of ISB in real-life clinical practice. No patient treated by TNT was included. ISB should also be tested in this promising strategy. Third, the proficient or deficient mismatch repair gene expression (pMMR or dMMR) status was not available. Approximately 5% of rectal adenocarcinomas are dMMR. These patients will most likely be ISB High, given the high frequency of neoantigens expressed by such tumors. A recent study evidenced an impressive cCR rate of 100% for all of 12 patients with dMMR LARC after PD-1 blockade therapy.18 It would be interesting to evaluate whether pMMR ISB High patients could equally benefit from this immunotherapy. Notably, the NICHE study31 showed 100% (32/32) and 30% (9/30) pathologic responses in dMMR and pMMR early-stage colon cancers, respectively, treated by neoadjuvant PD-1 and CTLA-4 blockade. Preexisting CD8+PD-1+ T lymphocyte density predicted response to immune checkpoint inhibitor therapy.

In summary, the data from this large international cohort of rectal cancer patients with cCR managed nonoperatively validate the prognostic value of ISB and could pave the way for prospective therapeutic trials guided by ISB to adjust monitoring and/or therapy of W&W patients.

ACKNOWLEDGMENT

The authors would like to acknowledge Valérie Poncet, Renaud Schiappa, Christian Cassier, and Anais Nelson for supporting the project and Magdalena Benetkiewicz (ScD) for the editorial assistance. The authors thank PALGA, the nationwide pathology network and registry in the Netherlands, for facilitating retrieval of archival tissue material and providing pathology data. The authors also acknowledge the help of the collaborating clinicians and institutions in the Netherlands for providing data for the national W&W registry: J. Melenhorst, MD, PhD (Maastricht University Medical Center, Department of Surgery, Maastricht), H.L. van Westreenen, MD, PhD (Isala, Department of Surgery, Zwolle), A.K. Talsma, MD, PhD (Deventer Hospital, Department of Surgery, Deventer), D.D.E. Zimmerman, MD, PhD (Elisabeth TweeSteden Hospital, Department of Surgery, Tilburg), K.C.M.J. Peeters, MD, PhD (Leiden University Medical Center, Department of Surgery, Leiden), M. Vermaas, MD, PhD (IJsselland Hospital, Department of Surgery, Capelle aan de Ijssel), J.H.W. de Wilt, MD, PhD (Radboud University Medical Center, Department of Surgery, Nijmegen), J.B. Tuynman, MD, PhD (Amsterdam University Medical Centers, location VUmc, Department of Surgery, Amsterdam), C. Hoff, MD (Medical Center Leeuwarden, Department of Surgery, Leeuwarden), E.G.G. Verdaasdonk, MD, PhD (Jeroen Bosch Hospital, Department of Surgery, Den Bosch), and A. Pronk, MD, PhD (Diakonessenhuis, Department of Surgery, Utrecht).

Amos Kirilovsky

Patents, Royalties, Other Intellectual Property: Patents associated with the immune prognostic markers filled by Inserm

Christine Lagorce Pagès

Patents, Royalties, Other Intellectual Property: My husband Pr F. Pagès has patents associated with the immune prognostic biomarkers filled by Inserm and licensed to HalioDx company

Pierre Laurent-Puig

Stock and Other Ownership Interests: Methys

Honoraria: Amgen, AstraZeneca, Merck, Roche, Sanofi, Biocartis, MSD Oncology

Consulting or Advisory Role: Merck, Bristol Myers Squibb, Boehringer Ingelheim

Patents, Royalties, Other Intellectual Property: Inventor of mir31-3p license to integragen

Travel, Accommodations, Expenses: Roche, Merck

Aurélien de Reyniès

Patents, Royalties, Other Intellectual Property: Patent related to a single cell technology licensed to Minos Biosciences

David Tougeron

Honoraria: Amgen, Roche, Sanofi, Bristol Myers Squibb, Merck Serono, MSD, Servier/Pfizer, Ipsen, Pierre Fabre, AstraZeneca

Consulting or Advisory Role: Sanofi, MSD, Pierre Fabre, AstraZeneca, Novartis

Research Funding: AstraZeneca (Inst), Servier (Inst), Roche (Inst), MSD (Inst), BTG (Inst)

Travel, Accommodations, Expenses: Sanofi, Amgen, Bristol Myers Squibb, MSD Oncology

Jean-Pierre Gérard

Other Relationship: Ariane Medical System (UK)

Juan P. Santino

Employment: Novo Nordisk

Juan Manuel O'Connor

Consulting or Advisory Role: Merck Serono, Bayer, Lilly, Raffo, BMS, Servier

Jean-Pierre Gérard

Other Relationship: Ariane Medical System (UK)

Myriam Chalabi

Consulting or Advisory Role: MSD (Inst), Bristol Myers Squibb/Celgene (Inst), Numab (Inst), Kineta

Research Funding: Bristol Myers Squibb (Inst), Roche/Genentech (Inst), MSD (Inst)

Travel, Accommodations, Expenses: Roche/Genentech, Bristol Myers Squibb

Rodrigo O. Perez

Honoraria: Johnson & Johnson

Jérôme Galon

Employment: Veracyte

Leadership: HalioDx

Stock and Other Ownership Interests: Veracyte

Consulting or Advisory Role: Northwest Biotherapeutics, Catalym, Lunaphore Technologies, Georgiamune

Research Funding: Ultivue (Inst), ImCheck therapeutics (Inst), Veracyte (Inst)

Patents, Royalties, Other Intellectual Property: Inserm (French NIH)

Travel, Accommodations, Expenses: Veracyte

Guy Zeitoun

Patents, Royalties, Other Intellectual Property: Patents associated with the immune prognostic markers filled by Inserm

Lars Henrik Jensen

Research Funding: MSD (Inst), 2cureX (Inst), Incyte (Inst), BMS (Inst)

Guy Zeitoun

Patents, Royalties, Other Intellectual Property: Patents associated with the immune prognostic markers filled by Inserm

Franck Pagès

Honoraria: BMS, Gilead Sciences, Sanofi

Consulting or Advisory Role: Bristol Myers Squibb, Janssen, Gilead Sciences, HalioDx

Speakers' Bureau: Gilead Sciences

Research Funding: HalioDx, Bristol Myers Squibb

Patents, Royalties, Other Intellectual Property: Patents associated with the immune prognostic markers filled by Inserm

Travel, Accommodations, Expenses: HalioDX

No other potential conflicts of interest were reported.

DISCLAIMER

The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.

PRIOR PRESENTATION

Presented in part at the 2022 ASCO Annual Meeting, Chicago, IL, June 4, 2022.

SUPPORT

F.P. was recipient of grants from the Fondation ARC Association pour la Recherche contre le Cancer (Grant PGA1 RC20180206971), and from the Site de Recherche intégrée sur le Cancer (SIRIC) CAncer Research for PErsonalized Medicine (CARPEM). The research group was supported by l'Institut National de la Santé et de la Recherche Médicale (INSERM), l’Assitance Publique-Hopitaux de Paris, l’Université Paris Cité, LabEx Immuno-oncology, Transcan ERAnet european project, l’Agence Nationale de la Recherche (ANR Grant TERMM ANR-20-CE92-0001) and Fondation pour la recherche médicale (FRM).

*

C.E.S. and A.K. contributed equally to this work.

DATA SHARING STATEMENT

The study protocol is included in the Data Supplement. Clinical data collected for the study and ISB determined for each patient are provided in the Data Supplement. The information on sex and age is available upon request.

AUTHOR CONTRIBUTIONS

Conception and design: Carine El Sissy, Amos Kirilovsky, Guy Zeitoun, Franck Pagès

Financial support: Jérôme Galon, Franck Pagès

Provision of study materials or patients: Maria Gabriela Anitei, José G. van den Berg, Annegien Broeks, Laura M. Fernandez, David Tougeron, Laurids Østergaard Poulsen, Viorel Scripcariu, Jean-Pierre Gérard, Myriam Chalabi, Nuno Figueiredo, Lars Henrik Jensen, Christine Lagorce Pagès, Petra A. Custers, Edina Dizdarevic, Mireia Castillo-Martin, Ana Maria Musina, Soledad Iseas, Mariana Coraglio, Fernando Sanchez Loria, Alfredo Romero, Carlos A. Vaccaro, Juan P. Santino, Jan Lindebjerg, Juan Manuel O'Connor, Mihail-Gabriel Dimofte, Rodrigo O. Perez, Angelita Habr-Gama, Torben Frostrup Hansen, Geerard Beets

Collection and assembly of data: Carine El Sissy, Amos Kirilovsky, Christine Lagorce Pagès, Florence Marliot, Petra A. Custers, Edina Dizdarevic, Nacilla Haicheur, Mohamed Dermani, Nicolas Loche, Ana Maria Musina, Maria Gabriela Anitei, José G. van den Berg, Annegien Broeks, Soledad Iseas, Mariana Coraglio, Fernando Sanchez Loria, Alfredo Romero, Pierre Laurent-Puig, Laura M. Fernandez, David Tougeron, Carlos A. Vaccaro, Juan P. Santino, Jan Lindebjerg, Juan Manuel O'Connor, Viorel Scripcariu, Mihail-Gabriel Dimofte, Jean-Pierre Gérard, Myriam Chalabi, Nuno Figueiredo, Rodrigo O. Perez, Torben Frøstrup Hansen, Lars Henrik Jensen, Geerard Beets, Franck Pagès

Data analysis and interpretation: Carine El Sissy, Amos Kirilovsky, Christine Lagorce Pagès, Edina Dizdarevic, Marine Sroussi, Mireia Castillo-Martin, Bénedicte Buttard, Ana Maria Musina, Soledad Iseas, Mariana Coraglio, Alfredo Romero, Pierre Laurent-Puig, Aurélien de Reyniès, Mehdi Karoui, David Tougeron, Laurids Østergaard Poulsen, Jan Lindebjerg, Viorel Scripcariu, Rodrigo O. Perez, Angelita Habr-Gama, Jérôme Galon, Torben Frøstrup Hansen, Geerard Beets, Guy Zeitoun, Franck Pagès

Manuscript writing: Carine El Sissy, Amos Kirilovsky, Guy Zeitoun, Franck Pagès

Final approval of manuscript: All authors

Accountable for all aspects of the work: All authors

AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST

International Validation of the Immunoscore Biopsy in Patients With Rectal Cancer Managed by a Watch-and-Wait Strategy

The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/jco/authors/author-center.

Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments).

Amos Kirilovsky

Patents, Royalties, Other Intellectual Property: Patents associated with the immune prognostic markers filled by Inserm

Christine Lagorce Pagès

Patents, Royalties, Other Intellectual Property: My husband Pr F. Pagès has patents associated with the immune prognostic biomarkers filled by Inserm and licensed to HalioDx company

Pierre Laurent-Puig

Stock and Other Ownership Interests: Methys

Honoraria: Amgen, AstraZeneca, Merck, Roche, Sanofi, Biocartis, MSD Oncology

Consulting or Advisory Role: Merck, Bristol Myers Squibb, Boehringer Ingelheim

Patents, Royalties, Other Intellectual Property: Inventor of mir31-3p license to integragen

Travel, Accommodations, Expenses: Roche, Merck

Aurélien de Reyniès

Patents, Royalties, Other Intellectual Property: Patent related to a single cell technology licensed to Minos Biosciences

David Tougeron

Honoraria: Amgen, Roche, Sanofi, Bristol Myers Squibb, Merck Serono, MSD, Servier/Pfizer, Ipsen, Pierre Fabre, AstraZeneca

Consulting or Advisory Role: Sanofi, MSD, Pierre Fabre, AstraZeneca, Novartis

Research Funding: AstraZeneca (Inst), Servier (Inst), Roche (Inst), MSD (Inst), BTG (Inst)

Travel, Accommodations, Expenses: Sanofi, Amgen, Bristol Myers Squibb, MSD Oncology

Jean-Pierre Gérard

Other Relationship: Ariane Medical System (UK)

Juan P. Santino

Employment: Novo Nordisk

Juan Manuel O'Connor

Consulting or Advisory Role: Merck Serono, Bayer, Lilly, Raffo, BMS, Servier

Jean-Pierre Gérard

Other Relationship: Ariane Medical System (UK)

Myriam Chalabi

Consulting or Advisory Role: MSD (Inst), Bristol Myers Squibb/Celgene (Inst), Numab (Inst), Kineta

Research Funding: Bristol Myers Squibb (Inst), Roche/Genentech (Inst), MSD (Inst)

Travel, Accommodations, Expenses: Roche/Genentech, Bristol Myers Squibb

Rodrigo O. Perez

Honoraria: Johnson & Johnson

Jérôme Galon

Employment: Veracyte

Leadership: HalioDx

Stock and Other Ownership Interests: Veracyte

Consulting or Advisory Role: Northwest Biotherapeutics, Catalym, Lunaphore Technologies, Georgiamune

Research Funding: Ultivue (Inst), ImCheck therapeutics (Inst), Veracyte (Inst)

Patents, Royalties, Other Intellectual Property: Inserm (French NIH)

Travel, Accommodations, Expenses: Veracyte

Guy Zeitoun

Patents, Royalties, Other Intellectual Property: Patents associated with the immune prognostic markers filled by Inserm

Lars Henrik Jensen

Research Funding: MSD (Inst), 2cureX (Inst), Incyte (Inst), BMS (Inst)

Guy Zeitoun

Patents, Royalties, Other Intellectual Property: Patents associated with the immune prognostic markers filled by Inserm

Franck Pagès

Honoraria: BMS, Gilead Sciences, Sanofi

Consulting or Advisory Role: Bristol Myers Squibb, Janssen, Gilead Sciences, HalioDx

Speakers' Bureau: Gilead Sciences

Research Funding: HalioDx, Bristol Myers Squibb

Patents, Royalties, Other Intellectual Property: Patents associated with the immune prognostic markers filled by Inserm

Travel, Accommodations, Expenses: HalioDX

No other potential conflicts of interest were reported.

REFERENCES

  • 1.Benson AB, Venook AP, Al-Hawary MM, et al. : NCCN guidelines insights: Rectal cancer, version 6.2020: Featured updates to the NCCN guidelines. J Natl Compr Canc Netw 18:806-815, 2020 [DOI] [PubMed] [Google Scholar]
  • 2.Lussiez A, Vitous CA, De Roo AC, et al. : A multi-modal study examining long-term bowel, urinary, and sexual function after rectal cancer surgery. Am J Surg 224:562-568, 2022 [DOI] [PubMed] [Google Scholar]
  • 3.Araghi M, Soerjomataram I, Bardot A, et al. : Changes in colorectal cancer incidence in seven high-income countries: A population-based study. Lancet Gastroenterol Hepatol 4:511-518, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bahadoer RR, Dijkstra EA, van Etten B, et al. : Short-course radiotherapy followed by chemotherapy before total mesorectal excision (TME) versus preoperative chemoradiotherapy, TME, and optional adjuvant chemotherapy in locally advanced rectal cancer (RAPIDO): A randomised, open-label, phase 3 trial. Lancet Oncol 22:29-42, 2021 [DOI] [PubMed] [Google Scholar]
  • 5.Conroy T, Bosset J-F, Etienne P-L, et al. : Neoadjuvant chemotherapy with FOLFIRINOX and preoperative chemoradiotherapy for patients with locally advanced rectal cancer (UNICANCER-PRODIGE 23): A multicentre, randomised, open-label, phase 3 trial. Lancet Oncol 22:702-715, 2021 [DOI] [PubMed] [Google Scholar]
  • 6.Garcia-Aguilar J, Patil S, Gollub MJ, et al. : Organ preservation in patients with rectal adenocarcinoma treated with total neoadjuvant therapy. J Clin Oncol 40:2546-2556, 2022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Habr-Gama A, Perez RO, Nadalin W, et al. : Operative versus nonoperative treatment for stage 0 distal rectal cancer following chemoradiation therapy: Long-term results. Trans Meet Am Surg Assoc CXXII:309-316, 2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.van der Valk MJM, Hilling DE, Bastiaannet E, et al. : Long-term outcomes of clinical complete responders after neoadjuvant treatment for rectal cancer in the International Watch & Wait Database (IWWD): An international multicentre registry study. Lancet 391:2537-2545, 2018 [DOI] [PubMed] [Google Scholar]
  • 9.Smith JJ, Paty PB, Garcia-Aguilar J: Watch and wait in rectal cancer or more wait and see? JAMA Surg 155:657, 2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Pagès F, Berger A, Camus M, et al. : Effector memory T cells, early metastasis, and survival in colorectal cancer. N Engl J Med 353:2654-2666, 2005 [DOI] [PubMed] [Google Scholar]
  • 11.Galon J, Costes A, Sanchez-Cabo F, et al. : Type, density, and location of immune cells within human colorectal tumors predict clinical outcome. Science 313:1960-1964, 2006 [DOI] [PubMed] [Google Scholar]
  • 12.Pagès F, Mlecnik B, Marliot F, et al. : International validation of the consensus Immunoscore for the classification of colon cancer: A prognostic and accuracy study. Lancet 391:2128-2139, 2018 [DOI] [PubMed] [Google Scholar]
  • 13.Marliot F, Chen X, Kirilovsky A, et al. : Analytical validation of the Immunoscore and its associated prognostic value in patients with colon cancer. J Immunother Cancer 8:e000272, 2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Organisation mondiale de la santé; Centre international de recherche sur le cancer (eds): Digestive System Tumours (ed 5). Lyon, France, International Agency for Research on Cancer, 2019 [Google Scholar]
  • 15.Argilés G, Tabernero J, Labianca R, et al. : Localised colon cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 31:1291-1305, 2020 [DOI] [PubMed] [Google Scholar]
  • 16.Yoshino T, Argilés G, Oki E, et al. : Pan-Asian adapted ESMO Clinical Practice Guidelines for the diagnosis treatment and follow-up of patients with localised colon cancer. Ann Oncol 32:1496-1510, 2021 [DOI] [PubMed] [Google Scholar]
  • 17.Chatila WK, Kim JK, Walch H, et al. : Genomic and transcriptomic determinants of response to neoadjuvant therapy in rectal cancer. Nat Med 28:1646-1655, 2022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Cercek A, Lumish M, Sinopoli J, et al. : PD-1 blockade in mismatch repair–deficient, locally advanced rectal cancer. N Engl J Med 386:2363-2376, 2022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Anitei M-G, Zeitoun G, Mlecnik B, et al. : Prognostic and predictive values of the Immunoscore in patients with rectal cancer. Clin Cancer Res 20:1891-1899, 2014 [DOI] [PubMed] [Google Scholar]
  • 20.El Sissy C, Kirilovsky A, den Eynde MV, et al. : A diagnostic biopsy-adapted Immunoscore predicts response to neoadjuvant treatment and selects patients with rectal cancer eligible for a watch-and-wait strategy. Clin Cancer Res 26:5198-5207, 2020 [DOI] [PubMed] [Google Scholar]
  • 21.Harrell FE, Califf RM, Pryor DB, et al. : Evaluating the yield of medical tests. JAMA 247:2543-2546, 1982 [PubMed] [Google Scholar]
  • 22.European Society of Coloproctology (ESCP) Collaborating Group : Evaluating the incidence of pathological complete response in current international rectal cancer practice: The barriers to widespread safe deferral of surgery. Colorectal Dis 20:58-68, 2018. (suppl 6) [DOI] [PubMed] [Google Scholar]
  • 23.Loftås P, Sturludóttir M, Hallböök O, et al. : Assessment of remaining tumour involved lymph nodes with MRI in patients with complete luminal response after neoadjuvant treatment of rectal cancer. Br J Radiol 10.1259/bjr.20170938 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Hoendervangers S, Burbach JPM, Lacle MM, et al. : Pathological complete response following different neoadjuvant treatment strategies for locally advanced rectal cancer: A systematic review and meta-analysis. Ann Surg Oncol 27:4319-4336, 2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Li M, Xiao Q, Venkatachalam N, et al. : Predicting response to neoadjuvant chemoradiotherapy in rectal cancer: From biomarkers to tumor models. Ther Adv Med Oncol 10.1177/17588359221077972 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Chadi SA, Malcomson L, Ensor J, et al. : Factors affecting local regrowth after watch and wait for patients with a clinical complete response following chemoradiotherapy in rectal cancer (InterCoRe consortium): An individual participant data meta-analysis. Lancet Gastroenterol Hepatol 3:825-836, 2018 [DOI] [PubMed] [Google Scholar]
  • 27.Fernandez LM, São Julião GP, Figueiredo NL, et al. : Conditional recurrence-free survival of clinical complete responders managed by watch and wait after neoadjuvant chemoradiotherapy for rectal cancer in the International Watch & Wait Database: A retrospective, international, multicentre registry study. Lancet Oncol 22:43-50, 2021 [DOI] [PubMed] [Google Scholar]
  • 28.Gani C, Gani N, Zschaeck S, et al. : Organ preservation in rectal cancer: The patients’ perspective. Front Oncol 9:318, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Geubels BM, Meyer VM, van Westreenen HL, et al. : Role of local excision for suspected regrowth in a watch and wait strategy for rectal cancer. Cancers 14:3071, 2022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Cerdán-Santacruz C, Vailati BB, São Julião GP, et al. : Watch and wait: Why, to whom and how. Surg Oncol 43:101774, 2022 [DOI] [PubMed] [Google Scholar]
  • 31.Verschoor YL, van den Berg J, Beets G, et al. : Neoadjuvant nivolumab, ipilimumab, and celecoxib in MMR-proficient and MMR-deficient colon cancers: Final clinical analysis of the NICHE study. J Clin Oncol 40:3511, 2022 [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The study protocol is included in the Data Supplement. Clinical data collected for the study and ISB determined for each patient are provided in the Data Supplement. The information on sex and age is available upon request.


Articles from Journal of Clinical Oncology are provided here courtesy of American Society of Clinical Oncology

RESOURCES