This systematic review examines the proportion and quality of postrecurrence treatment among patients in US Food and Drug Administration (FDA) registration trials of anticancer therapy in the neoadjuvant or adjuvant setting.
Key Points
Question
How often is postrecurrence treatment reported in adjuvant and neoadjuvant oncology randomized clinical trials, and what is the access to optimal postrecurrence treatment?
Findings
In this systematic review of 14 US Food and Drug Administration registration trials of systemic therapy in the neoadjuvant or adjuvant setting from 2018 to 2023, postrecurrence treatment was not reported in 43% of trials. Overall, 14% of trials had data assessed as appropriate.
Meaning
The findings suggest that regulatory rules should enforce stricter requirements regarding postrecurrence treatment access and reporting in trials.
Abstract
Importance
In oncology randomized clinical trials, suboptimal access to best available care at recurrence (or relapse) may affect overall survival results.
Objective
To assess the proportion and the quality of postrecurrence treatment received by patients enrolled in US Food and Drug Administration (FDA) registration trials of systemic therapy in the adjuvant or neoadjuvant setting.
Evidence Review
For this systematic review, all trials leading to an FDA approval from January 2018 through May 2023 were obtained from the FDA website and drug announcements. Randomized clinical trials of an anticancer drug in the neoadjuvant or the adjuvant setting were included. Trials of supportive care treatment and treatments given in combination with radiotherapy were excluded. Information abstracted for each trial included tumor type, setting, phase, type of sponsor, reporting and assessment of postrecurrence, and overall survival data.
Findings
A total of 14 FDA trials met the inclusion criteria. Postrecurrence data were not available in 6 of 14 registration trials (43%). Of the 8 remaining trials, postrecurrence treatment was assessed as suboptimal in 6 (75%). Overall, only 2 of 14 trials (14%) had data assessed as appropriate.
Conclusions and Relevance
This systematic review found that 43% of randomized clinical trials of anticancer treatment in the adjuvant or neoadjuvant context failed to present any assessable postrecurrence treatment data. In instances in which these data were shared, postrecurrence treatment was suboptimal 75% of the time. The findings suggest that regulatory bodies should enforce rules stipulating that patients have access to the best standard of care at recurrence.
Introduction
In patients with cancer undergoing curative local treatment, neoadjuvant and adjuvant systemic therapies aim to lower recurrences, increase cure rates, or permit less invasive surgery. Increasing cure rate applies to the whole population because some patients benefit from additional therapy while others do not, and many experience adverse effects. Patients who benefit are a minority of treated patients.1
All drugs used in the adjuvant context could also be prescribed in metastatic settings.2 Therefore, the question in adjuvant setting is whether to treat all patients earlier despite many not benefiting or to only treat at recurrence. A valid answer is obtained if patients who have recurrence in the control arm have optimal access to therapeutic options, including drugs tested in the neoadjuvant or adjuvant setting when indicated. We aimed to evaluate the reporting and characteristics of postrecurrence therapy in trials leading to US Food and Drug Administration (FDA) registration of systemic therapy in the adjuvant or neoadjuvant treatment setting.
Methods
In this systematic review, we sought to identify all randomized clinical trials of anticancer treatment in the adjuvant or neoadjuvant setting leading to a marketing authorization (from January 2018 through May 2023). Searches of the FDA website and drug announcements were performed on June 10, 2023.3 Trials of supportive treatments and pediatric trials were excluded, as were trials of therapies given in combination with radiotherapy. We abstracted trial, postrecurrence, and overall survival (OS) data.
We evaluated postrecurrence data using prespecified rules with the same principles as in a previous work.4 The first rule assessed the type of therapy that patients received at disease recurrence and was met when less than 10% of patients receiving systemic therapy at disease recurrence were deprived from a therapy already proven to be a preferred beneficial option, considered the standard of care (eMethods in Supplement 1). The second rule assessed crossover and was satisfied when no more than 10% of control patients receiving systemic treatment after relapse received the experimental drug if the drug’s efficacy in later stages was not yet proven. The third rule assessed the overall access to any therapy at recurrence. This rule was fulfilled when the number of patients receiving any treatment after disease recurrence was at least 10% higher in trials than outside trials (eResults 2 in Supplement 1). Since first recurrence may be amenable to local treatment, we did not restrict the assessment of the third rule to systemic therapy only. Additional details are described in the eMethods in Supplement 1.
Statistical Analysis
Frequencies were calculated for categorical variables. R, version 4.1.2 (R Foundation) was used for statistical analysis.
Results
Of 272 FDA approvals, 14 trials5,6,7,8,9,10,11,12,13,14,15,16,17,18 met the inclusion criteria (eFigure 1 in Supplement 1). All trials were industry-sponsored phase 3 trials leading to regular approvals. Other trial characteristics are described in Table 1.
Table 1. Registration Trials Leading to an FDA Approval in the Neoadjuvant or Adjuvant Setting Between 2018 and 2023.
| Trial name | Experimental arma | Mechanism of action (target) | Control | Design | Phase | Date of FDA approval | Tumor type | End points | |
|---|---|---|---|---|---|---|---|---|---|
| Primary | Selected secondary | ||||||||
| COMBI-AD6 | Dabrafenib-trametinib | Kinase inhibitor (BRAF, MEK) | Placebo | Blind | 3 | April 30, 2018 | Melanoma | RFS | OS |
| EORTC 1325-MG/KEYNOTE-0547 | Pembrolizumab | MAB (anti–PD-L1 or anti– PD-1) | Placebo | Blind | 3 | February, 15 2019 | Melanoma | RFS | OS |
| KATHERINE8 | Trastuzumab emtansine | ADC (ERBB2) | Trastuzumab | Open | 3 | May 3, 2019 | Breast | iDFS | OS, QLQ-C30, QLQ-BR23 |
| ADAURA5 | Osimertinib | Kinase inhibitor (EGFR) | Placebo | Blind | 3 | December 18, 2020 | Non–small cell lung cancer | DFS | OS, SF-36 |
| CheckMate 5779 | Nivolumab | MAB (anti–PD-L1 or anti– PD-1) | Placebo | Blind | 3 | May 20, 2021 | Esophagus or GEJ | DFS | OS |
| KEYNOTE-52210 | Neoadjuvant pembrolizumab plus chemotherapy plus adjuvant pembrolizumab | MAB (anti–PD-L1 or anti– PD-1) | Placebo plus NAC chemotherapy | Blind | 3 | July 26, 2021 | Breast | pCR and EFS | OS |
| CheckMate 27411 | Nivolumab | MAB (anti–PD-L1 or anti– PD-1) | Placebo | Blind | 3 | August 19. 2021 | Urothelial | DFS | OS |
| monarchE18 | Abemaciclib | Kinase inhibitor (CDK4/6) | Standard of care | Open | 3 | October 12, 2021 | Breast | iDFS | OS, FACIT-B, FACIT-F, and FACIT-ES |
| IMpower01012 | Atezolizumab | MAB (anti–PD-L1 or anti– PD-1) | BSC | Open | 3 | October 15, 2021 | Non–small cell lung cancer | DFS | OS |
| KEYNOTE-56413 | Pembrolizumab | MAB (anti–PD-L1 or anti– PD-1) | Placebo | Blind | 3 | November 17, 2021 | Renal cell | DFS | OS, QLQ-C30, FKSI-DRS |
| KEYNOTE-71614 | Pembrolizumab | MAB (anti–PD-L1 or anti– PD-1) | Placebo | Blind | 3 | December 3, 2021 | Melanoma | RFS | OS |
| CheckMate 81615 | Neoadjuvant nivolumab plus platinum-based chemotherapy | MAB (anti–PD-L1 or anti– PD-1) | Platinum-based chemotherapy | Open | 3 | March 4, 2022 | Non–small cell lung cancer | pCR plus EFS | OS |
| OlympiA16 | Olaparib | Kinase inhibitor (PARP) | Placebo | Blind | 3 | March 11, 2022 | Breast | iDFS | OS, QLQ-C30, FACIT-F |
| KEYNOTE-091/PEARLS17 | Pembrolizumab | MAB (anti–PD-L1 or anti– PD-1) | Placebo | Blind | 3 | January 6, 2023 | Non–small cell lung cancer | DFS | OS |
Abbreviations: BSC, best supportive care; CDK4/6, cyclin-dependent kinase 4/6; DFS, disease-free survival; EFS, event-free survival; EGFR, epidermal growth factor receptor; FACIT-B, Functional Assessment of Cancer Therapy–Breast; FACIT-ES, Functional Assessment of Cancer Therapy–Endocrine Symptoms; FACIT-F, Functional Assessment of Cancer Therapy–Fatigue; FDA, Food and Drug Administration; FKSI-DRS, Functional Assessment of Cancer Therapy Kidney Cancer Symptom Index–Disease Related Symptoms; GEJ, gastroesophageal junction; iDFS, invasive disease-free survival; MAB, monoclonal antibody; NAC, neoadjuvant chemotherapy; OS, overall survival; pCR, pathologic complete response; PD-1, programmed cell death 1; PD-L1, programmed cell death ligand 1; Quality of Life Questionnaire–Breast Cancer, module 23; Quality of Life Questionnaire–Cancer, module 30; RFS, recurrence-free survival; SF-36, Short Form 36 Health Survey Questionnaire.
Adjuvant unless otherwise indicated.
Of 14 trials, 6 (43%)8,10,11,16,17,18 did not report any postrecurrence data. Of 8 trials with reported data,5,6,7,9,12,13,14,15 overall treatment was assessed as suboptimal in 6 (75%) (Table 2 and eResults 1 in Supplement 1). Among those 6 trials, in 1 trial,14 data were reported in aggregate and we could not exclude that the systemic treatment received at recurrence was optimal; however, the overall access to any therapy at recurrence was assessed as suboptimal. In the 2 trials (14%)6,7 coded with an overall optimal postrecurrence care, data were presented in aggregate; we could not rule out that treatment was optimal. The Figure shows the proportion of patients who received preferred treatments among patients who received any systemic therapy at recurrence in those trials. No trials used inappropriate crossover. Of the 2 trials5,16 with a significant OS benefit, 1 trial5 reported subpar postrecurrence data and the other16 did not report any postrecurrence data. Other postprogression and OS data are reported in Table 2.
Table 2. Included Registration Trials in the Neoadjuvant or Adjuvant Setting Between 2018 and 2023 With Postrecurrence Data.
| Trial name | Experimental arma | Reported postprogression data | Standard of care systemic therapy at recurrence | Optimal access to any therapy on recurrence | Optimal overall assessment | Significant survival benefit |
|---|---|---|---|---|---|---|
| COMBI-AD6 | Dabrafenib-trametinib | Yes | Yes | Yes | Yes | No |
| EORTC 1325-MG/KEYNOTE-0547 | Pembrolizumab | Yes | Yes | Yes | Yes | No |
| KATHERINE8 | Trastuzumab emtansine | No | NA | NA | NA | No |
| ADAURA5 | Osimertinib | Yes | No | No | No | Yes |
| CheckMate 5779 | Nivolumab | Yes | No | NA | No | No |
| KEYNOTE-52210 | Neoadjuvant pembrolizumab plus chemotherapy plus adjuvant pembrolizumab | No | NA | NA | NA | No |
| CheckMate 27411 | Nivolumab | No | NA | NA | NA | No |
| monarchE18 | Abemaciclib | No | NA | NA | NA | No |
| IMpower01012 | Atezolizumab | Yes | No | No | No | No |
| KEYNOTE-56413 | Pembrolizumab | Yes | No | No | No | No |
| KEYNOTE-71614 | Pembrolizumab | Yes | Yes | No | No | No |
| CheckMate 81615 | Neoadjuvant nivolumab plus platinum-based chemotherapy | Yes | No | NA | No | No |
| OlympiA16 | Olaparib | No | NA | NA | NA | Yes |
| KEYNOTE-091/PEARLS17 | Pembrolizumab | No | NA | NA | NA | No |
Abbreviation: NA, not assessable.
Adjuvant unless otherwise indicated.
Figure. Proportion of Patients Who Received Standard of Care Among Patients Who Received Systemic Therapy at Disease Recurrence in 8 Trials With Postrecurrence Data.
Standard of care treatments (preferred treatments) used for each trial are detailed in the eResults 1 in Supplement 1. A detailed explanation of estimates is provided in the eMethods in Supplement 1. The dotted line corresponds to a prespecified rule that at least 90% of patients receiving systemic therapy at recurrence should receive an optimal therapy. CM indicates CheckMate; KN, KEYNOTE.
aPostrecurrence data were provided in aggregate; maximum and minimum access to optimal therapies (horizontal lines) was estimated.
bMaximum estimate.
Discussion
This systematic review found that postrecurrence treatment was either not reported or reflected suboptimal care in most trials leading to an FDA approval of systemic therapies in the adjuvant or neoadjuvant setting between 2018 and 2023. This is consistent with a previous finding in advanced disease in which only 12% of FDA registration trials had available postprogression data assessed as optimal.4
To evaluate postprotocol therapy, we assessed 2 questions. One is whether control arm participants who received treatment at the time of relapse received the best available care. We found that most trials with assessable data reported subpar therapy. For example, in the ADAURA trial,5 38.5% of patients who presented with a recurrence (excluding death) received osimertinib, which has been the standard of care since the FLAURA trial.19 Even when considering only patients receiving systemic therapy at relapse, only 48.8% received osimertinib (maximum estimate).5
Another question was related to the overall access to any subsequent therapy in both arms. In optimal care situations, a disease-free survival (DFS) benefit may be diluted by subsequent therapy.20 Conversely, in places where access to subsequent treatment is limited, a DFS benefit is more likely to translate into an OS benefit because fewer options are available after recurrence.
In the IMpower010 trial,21 patients with resected stage IB (≥4-cm tumor) to IIIA non–small cell lung cancer were randomized to adjuvant atezolizumab or best supportive care. Of patients presenting a recurrence in the control arm, 67% of them received a systematic treatment. However, in the general population, 77% of patients with stage II to IIIA disease who presented with a recurrence received a subsequent systemic therapy.22 In contrast to the lower percentage of people who received subsequent therapy in the IMpower010 trial than in the general population, we believe that this percentage should be higher in trials because stringent inclusion and exclusion criteria in trials select for patients with better health and fewer comorbidities.23 Clinical data as a benchmark can be suboptimal due to issues like poor generalizability; however, no trial in the present study was considered to be suboptimal based solely on this aspect.
In the 2 trials5,16 showing a significant OS benefit, none reported optimal postrecurrence care. However, postrecurrence data are vital in interpreting downstream end points like second progression-free survival or OS. While event-free survival or DFS have historically been considered surrogate markers for clinical efficacy, their direct clinical relevance as stand-alone end points remains under debate.24,25 For patients who value their time without treatment or who value a survival benefit, positive OS results may be poorly informed in the context of suboptimal postrelapse therapy. Because a small proportion of patients receiving perioperative therapy ultimately benefit, discussing treatment goals with patients is critical.1
Our findings add to other issues like high costs26 and the risk of bias in quality-of-life results.27 Regulators could restrict enrollment to countries with optimal care access. However, this would impair the diverse representation of patients in trials and deepen inequality regarding access to innovation worldwide. Alternatively, they could mandate sponsor-funded crossover at recurrence when the best available therapy is known. We also propose illustrations of postrecurrence data, when available, to aid in shared decision-making (eFigure 2 in Supplement 1).
Strengths and Limitations
This study has strengths. First, to our knowledge, it is the first comprehensive evaluation of postrecurrence data in the perioperative settings of cancer treatment. Second, our method has been used in other contexts (advanced and metastatic settings), ensuring consistency. This study also has limitations. We did not have access to individual patient data, thus limiting a full assessment of postprogression data; however, our conservative categorization leaned toward overestimating the quality of postrecurrence therapies rather than underestimating it.
Conclusions
This systematic review found that 43% of randomized clinical trials of anticancer treatment in the adjuvant or neoadjuvant context failed to present any assessable postrecurrence treatment data. In instances in which these data were shared, postrecurrence treatment was suboptimal 75% of the time. The findings suggest that regulatory bodies should enforce rules stipulating that patients have access to the best standard of care at recurrence in global trials.
eMethods.
eResults 1. Therapies Considered as Preferred Options Upon Recurrence in Trials With Assessable Data With References (Rule 1, n = 8)
eResults 2. Real-World Data References for Trials Assessed With Suboptimal Access to Any Postrecurrence Therapy (Rule 3, n = 4)
eResults 3. Included Trials With NCT Numbers and References.
eFigure 1. Flowchart of the Approval Selection Process and Reasons for Exclusion.
eFigure 2. Trials in the Adjuvant Setting With Overall Survival Benefit (N = 2), With Key Postrecurrence Data (When Available)
eReferences.
Data Sharing Statement
References
- 1.Burotto M, Wilkerson J, Stein WD, Bates SE, Fojo T. Adjuvant and neoadjuvant cancer therapies: a historical review and a rational approach to understand outcomes. Semin Oncol. 2019;46(1):83-99. doi: 10.1053/j.seminoncol.2019.01.002 [DOI] [PubMed] [Google Scholar]
- 2.Parsons S, Maldonado EB, Prasad V. Comparison of drugs used for adjuvant and metastatic therapy of colon, breast, and non-small cell lung cancers. JAMA Netw Open. 2020;3(4):e202488. doi: 10.1001/jamanetworkopen.2020.2488 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.US Food and Drug Administration . Oncology (cancer) hematologic malignancies approval notification. Accessed June 10, 2023. https://www.fda.gov/drugs/resources-information-approved-drugs/oncology-cancer-hematologic-malignancies-approval-notifications
- 4.Olivier T, Haslam A, Prasad V. Post-progression treatment in cancer randomized trials: a cross-sectional study of trials leading to FDA approval and published trials between 2018 and 2020. BMC Cancer. 2023;23(1):448. doi: 10.1186/s12885-023-10917-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Tsuboi M, Herbst RS, John T, et al. ; ADAURA Investigators . Overall survival with osimertinib in resected EGFR-mutated NSCLC. N Engl J Med. 2023;389(2):137-147. doi: 10.1056/NEJMoa2304594 [DOI] [PubMed] [Google Scholar]
- 6.Dummer R, Hauschild A, Santinami M, et al. Five-year analysis of adjuvant dabrafenib plus trametinib in stage III melanoma. N Engl J Med. 2020;383(12):1139-1148. doi: 10.1056/NEJMoa2005493 [DOI] [PubMed] [Google Scholar]
- 7.Eggermont AMM, Kicinski M, Blank CU, et al. Five-year analysis of adjuvant pembrolizumab or placebo in stage III melanoma. NEJM Evidence. 2022;1(11):EVIDoa2200214. [DOI] [PubMed]
- 8.von Minckwitz G, Huang CS, Mano MS, et al. ; KATHERINE Investigators . Trastuzumab emtansine for residual invasive HER2-positive breast cancer. N Engl J Med. 2019;380(7):617-628. doi: 10.1056/NEJMoa1814017 [DOI] [PubMed] [Google Scholar]
- 9.Kelly RJ, Ajani JA, Kuzdzal J, et al. ; CheckMate 577 Investigators . Adjuvant nivolumab in resected esophageal or gastroesophageal junction cancer. N Engl J Med. 2021;384(13):1191-1203. doi: 10.1056/NEJMoa2032125 [DOI] [PubMed] [Google Scholar]
- 10.Schmid P, Cortes J, Dent R, et al. ; KEYNOTE-522 Investigators . Event-free survival with pembrolizumab in early triple-negative breast cancer. N Engl J Med. 2022;386(6):556-567. doi: 10.1056/NEJMoa2112651 [DOI] [PubMed] [Google Scholar]
- 11.Bajorin DF, Witjes JA, Gschwend JE, et al. Adjuvant nivolumab versus placebo in muscle-invasive urothelial carcinoma. N Engl J Med. 2021;384(22):2102-2114. doi: 10.1056/NEJMoa2034442 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Felip E, Altorki N, Zhou C, et al. ; IMpower010 Investigators . Adjuvant atezolizumab after adjuvant chemotherapy in resected stage IB-IIIA non-small-cell lung cancer (IMpower010): a randomised, multicentre, open-label, phase 3 trial. Lancet. 2021;398(10308):1344-1357. doi: 10.1016/S0140-6736(21)02098-5 [DOI] [PubMed] [Google Scholar]
- 13.Powles T, Tomczak P, Park SH, et al. ; KEYNOTE-564 Investigators . Pembrolizumab versus placebo as post-nephrectomy adjuvant therapy for clear cell renal cell carcinoma (KEYNOTE-564): 30-month follow-up analysis of a multicentre, randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Oncol. 2022;23(9):1133-1144. doi: 10.1016/S1470-2045(22)00487-9 [DOI] [PubMed] [Google Scholar]
- 14.Luke JJ, Rutkowski P, Queirolo P, et al. ; KEYNOTE-716 Investigators . Pembrolizumab versus placebo as adjuvant therapy in completely resected stage IIB or IIC melanoma (KEYNOTE-716): a randomised, double-blind, phase 3 trial. Lancet. 2022;399(10336):1718-1729. doi: 10.1016/S0140-6736(22)00562-1 [DOI] [PubMed] [Google Scholar]
- 15.Forde PM, Spicer J, Lu S, et al. ; CheckMate 816 Investigators . Neoadjuvant nivolumab plus chemotherapy in resectable lung cancer. N Engl J Med. 2022;386(21):1973-1985. doi: 10.1056/NEJMoa2202170 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Geyer CE Jr, Garber JE, Gelber RD, et al. ; OlympiA Clinical Trial Steering Committee and Investigators . Overall survival in the OlympiA phase III trial of adjuvant olaparib in patients with germline pathogenic variants in BRCA1/2 and high-risk, early breast cancer. Ann Oncol. 2022;33(12):1250-1268. doi: 10.1016/j.annonc.2022.09.159 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.O’Brien M, Paz-Ares L, Marreaud S, et al. ; EORTC-1416-LCG/ETOP 8-15 – PEARLS/KEYNOTE-091 Investigators . Pembrolizumab versus placebo as adjuvant therapy for completely resected stage IB-IIIA non-small-cell lung cancer (PEARLS/KEYNOTE-091): an interim analysis of a randomised, triple-blind, phase 3 trial. Lancet Oncol. 2022;23(10):1274-1286. doi: 10.1016/S1470-2045(22)00518-6 [DOI] [PubMed] [Google Scholar]
- 18.Johnston SRD, Toi M, O’Shaughnessy J, et al. ; monarchE Committee Members . Abemaciclib plus endocrine therapy for hormone receptor-positive, HER2-negative, node-positive, high-risk early breast cancer (monarchE): results from a preplanned interim analysis of a randomised, open-label, phase 3 trial. Lancet Oncol. 2023;24(1):77-90. doi: 10.1016/S1470-2045(22)00694-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ramalingam SS, Vansteenkiste J, Planchard D, et al. ; FLAURA Investigators . Overall survival with osimertinib in untreated, EGFR-mutated advanced NSCLC. N Engl J Med. 2020;382(1):41-50. doi: 10.1056/NEJMoa1913662 [DOI] [PubMed] [Google Scholar]
- 20.Pignatti F. Re: availability of evidence of benefits on overall survival and quality of life of cancer drugs approved by European Medicines Agency: retrospective cohort study of drug approvals 2009-13. BMJ. Published online October 12, 2017. Accessed June 13, 2023. https://www.bmj.com/content/359/bmj.j4530/rr-3 [DOI] [PMC free article] [PubMed]
- 21.Felip E, Vallieres E, Zhou C, et al. LBA9 IMpower010: sites of relapse and subsequent therapy from a phase III study of atezolizumab vs best supportive care after adjuvant chemotherapy in stage IB-IIIA NSCLC. Ann Oncol. 2021;32:S1319. doi: 10.1016/j.annonc.2021.08.2120 [DOI] [Google Scholar]
- 22.Cortinovis DL, Perrone V, Giacomini E, et al. Epidemiology, patients’ journey and healthcare costs in early-stage non-small-cell lung carcinoma: a real-world evidence analysis in Italy. Pharmaceuticals (Basel). 2023;16(3):363. doi: 10.3390/ph16030363 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Karim S, Xu Y, Kong S, Abdel-Rahman O, Quan ML, Cheung WY. Generalisability of common oncology clinical trial eligibility criteria in the real world. Clin Oncol (R Coll Radiol). 2019;31(9):e160-e166. doi: 10.1016/j.clon.2019.05.003 [DOI] [PubMed] [Google Scholar]
- 24.Robinson AG, Booth CM, Eisenhauer EA. Disease-free survival as an end-point in the treatment of solid tumours—perspectives from clinical trials and clinical practice. Eur J Cancer. 2014;50(13):2298-2302. doi: 10.1016/j.ejca.2014.05.016 [DOI] [PubMed] [Google Scholar]
- 25.Gyawali B, de Vries EGE, Dafni U, et al. Biases in study design, implementation, and data analysis that distort the appraisal of clinical benefit and ESMO-Magnitude of Clinical Benefit Scale (ESMO-MCBS) scoring. ESMO Open. 2021;6(3):100117. doi: 10.1016/j.esmoop.2021.100117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Mousavi I, Olivier T, Prasad V. Cost per event averted in cancer trials in the adjuvant setting from 2018 to 2022. JAMA Netw Open. 2022;5(6):e2216058. doi: 10.1001/jamanetworkopen.2022.16058 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Olivier T, Smith CEP, Haslam A, Addeo A, Prasad V. Quality of life in the adjuvant setting: A meta-analysis of US Food and Drug Administration approved anti-cancer drugs from 2018 to 2022. J Cancer Policy. 2023;37:100426. doi: 10.1016/j.jcpo.2023.100426 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
eMethods.
eResults 1. Therapies Considered as Preferred Options Upon Recurrence in Trials With Assessable Data With References (Rule 1, n = 8)
eResults 2. Real-World Data References for Trials Assessed With Suboptimal Access to Any Postrecurrence Therapy (Rule 3, n = 4)
eResults 3. Included Trials With NCT Numbers and References.
eFigure 1. Flowchart of the Approval Selection Process and Reasons for Exclusion.
eFigure 2. Trials in the Adjuvant Setting With Overall Survival Benefit (N = 2), With Key Postrecurrence Data (When Available)
eReferences.
Data Sharing Statement

