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Molecular selection of therapy in metastatic colorectal cancer: the FOCUS4 molecularly stratified RCT · Results from the registration period

Results from the registration period

CC BY 4.0 · National Institute for Health and Care Research · approximately 12 min read

Details of the methods used for the registration period can be found in Chapter 2.

Activation and recruitment

FOCUS4 was approved by the UK National Ethics Committee Oxford – Panel C (reference 13/SC/0111) and by the relevant regulatory body, the Medicines and Healthcare products Regulatory Agency (MHRA) (CTA 20363/0400/001 and EudraCT 2012-005111-12), in May 2013. FOCUS4 opened to recruitment in January 2014, with two subtrials activated (FOCUS4-D and FOCUS4-N). Over the following 6 years, 103 UK sites were opened and subsequent substantial amendments approved the inclusion of two further subtrials (FOCUS4-B and FOCUS4-C). The trial centres, investigators and co-investigators are listed in Report Supplementary Material 2. Considerable challenges were encountered in engaging pharmaceutical companies to test therapies in the platform, with 20 drug combinations explored for inclusion. Of the five subtrials that had been planned to open at the design stage (FOCUS4-A, -B, -C, -D and -N), only four were activated (FOCUS4-B, -C, -D and -N) and only three reported results (FOCUS4-C, -D and -N), with FOCUS4-B stopping early on grounds of futility (see Figure 1).

Results from registration

Between January 2014 and October 2020, 1434 patients were registered from 88 UK hospitals, and 316 were randomised into a comparison subtrial (25%). A flow chart of patients during the registration period is presented according to the Consolidated Standards of Reporting Trials (CONSORT) criteria in Figure 2.

FIGURE 2 The CONSORT flow diagram of patients during registration period of FOCUS4. (Figure not reproduced here; see the original article.)

Biomarker analysis was undertaken on 1382 samples and the median time from registration to the availability of the biomarker results was 6 weeks [interquartile range (IQR) 4.3–8.3 weeks]. Molecular stratification was successful in 1291 out of 1382 (93%) samples received and was processed with mutations identified in the following genes: BRAF (10%), PIK3CA (14%), KRAS (53%), NRAS (6%), TP53 (69%), RAS + TP53 (32%), BRAF-PIK3CA-RAS wild type (26%) and deficient MMR (3%), as presented in Table 1.

TABLE 1 Biomarker prevalence across all registered patients
BiomarkerTotal with successful test result (n)aTotal with mutations, PTEN loss or MSI (n)Observed (%)Expected (%)b
BRAF mutation1260125108
PIK3CA mutation12451791413
KRAS mutation12646665342
NRAS mutation12647264
PTEN loss126091710
Wild type (i.e. none of the above, c.f. FOCUS4-D)12433282642
TP53 80555669NR
TP53 + RAS mutation (cf. FOCUS4-C)8053324123
Presence of deficient MMR12553334

Three molecularly targeted subtrials were activated:

  • FOCUS4-D –
    • February 2014 to March 2016
    • evaluated ErbB kinase inhibitor sapitinib (AZD8931, AstraZeneca UK, Cambridge, UK) in the BRAF-PIK3CA-RAS wild-type subgroup.
  • FOCUS4-B –
    • February 2016 to July 2018
    • evaluated aspirin in the PIK3CA-mutant subgroup.
  • FOCUS4-C –
    • June 2017 to October 2020
    • evaluated adavosertib (AstraZeneca Ltd, Cambridge, UK) in the RAS + TP53 double-mutant subgroup.
  • FOCUS4-A for the BRAF-mutant subgroup was not activated, despite a full protocol being prepared, because the data emerging from studies of the planned triplet combination (dabrafenib, panitumumab and trametinib) were determined not to warrant further investigation by the company involved.

In addition, FOCUS4-N was active throughout and evaluated capecitabine monotherapy compared with a treatment break.

Of the 1315 patients completing 16 weeks of first-line therapy, 908 (68%) had disease stabilisation or response and were potentially eligible for randomisation. Of these, 361 were randomly allocated to one of the comparison subtrials: FOCUS4-B (n = 6), FOCUS4-C (n = 69), FOCUS4-D (n = 32) and FOCUS4-N (n = 254).

The choice of first-line therapies used during the registration period is summarised in Table 2.

TABLE 2 Choice of first-line therapies during registration
Chemotherapy regimen (ordered by frequency)All registered patients, n (%)
FOLFIRI422 (29)
CAPOX301 (22)
FOLFIRI + CET/PAN218 (15)
FOLFOX215 (15)
CAP alone47 (3)
FOLFOX + CET/PAN46 (3)
FOLFOXIRI28 (2)
CAPIRI20 (1)
FOLFOX + BEV16 (1)
CAPOX + CET/PAN15 (1)
FOLFIRI + BEV10 (1)
Other46 (3)
Data not available50 (4)

Treatment with EGFR-targeted monoclonal antibodies was administered according to NHS access or Cancer Drug Fund restrictions.

Details on biomarker prevalence and rates of disease progression during the registration period are presented in Table 3 (see also Table 1).

TABLE 3 Disease response to first-line therapy by biomarker group
Molecular cohortRandomisation statusDisease assessment, n (%)
CR/PR/stable diseasePDMissingaTotal
BRAF mutantNot randomised43 (48)40 (45)689
FOCUS4-N300030
Subtotal73 (61)40 (34)6119
PIK3CA mutantbNot randomised60 (60)38 (38)2100
FOCUS4-B6006
FOCUS4-N260026
Subtotal92 (70)38 (29)2132
RAS mutantcNot randomised142 (59)82 (34)18242
FOCUS4-N10300103
Subtotal245 (71)82 (24)18345
RAS + TP53 mutantdNot randomised85 (47)87 (48)10182
FOCUS4-C690069
FOCUS4-N130013
Subtotal167 (63)87 (33)10264
All wild typeNot randomised159 (65)74 (30)12245
FOCUS4-D320032
FOCUS4-N570057
Subtotal248 (74)74 (22)12334
Non-stratifiedNot randomised58 (60)35 (36)396
FOCUS4-N250025
Subtotal83 (69)35 (29)3121
OverallNot randomised547 (57)356 (37)51954
FOCUS4-B6006
FOCUS4-C690069
FOCUS4-D320032
FOCUS4-N25400254
Total908 (69)356 (27)511315

Failed endeavours

The continuous pursuit of new agents for testing in the FOCUS4 platform accounted for a lot of the investigator’s time. During the course of the trial, a total of 20 therapeutic interventions were explored and presented to the joint National Institute for Health and Care Research (NIHR) Efficacy and Mechanism Evaluation (EME)/Cancer Reserch UK funding subboard for peer-review approval, but only four culminated in an activated comparison (Table 4). Reasons for non-activation were predominantly failure of drugs at early clinical testing in this advanced metastatic disease setting; however, protocol development and contract negotiations had often progressed a long way and considerable resource had been used up for ultimately futile collaborations. Other endeavours failed bceause of strategic shifts

TABLE 4 Proposed interventions by biomarker group, with outcome
CohortBiomarkerBiomarker incidenceInterventionOutcome
A1BRAF V600E mutation10%BRAF inhibitor and MEK inhibitorScience evolved
A2BRAF V600E mutation10%Dabrafenib (tafinlar, Novartis Pharmaceuticals UK Ltd, London, UK), trametinib (mekinist, Novartis Pharmaceuticals UK Ltd) and panitumumab (vectibix, Amgen, Thousand Oaks, CA, USA)GlaxoSmithKline plc (Brentford, UK) sold oncology portfolio to Novartis (Basel, Switzerland). Novartis found activity insufficient to support trial
B1PIK3CA mutant or PTEN loss on IHC22%Dual PI3K inhibitor/mTOR inhibitorInsufficient evidence of benefit with evolving data to obtain pharmaceutical engagement
B2PIK3CA mutation12%AspirinFOCUS4-B trial
C1KRAS/NRAS mutation45%MEK inhibitor and PI3K inhibitorFound to be too toxic in early studies
C2RAS mutation + HLA A-220%IMA 190 peptide vaccine (Immatics, Tuebingen, Germany)Company did not commit
C3AH3K36me3 loss< 2%Wee1 inhibitor, AZD1775 (adavosertib, AstraZeneca UK)Biomarker validation showed very low incidence of loss in CRC
C3BRAS + TP53 double mutation30%Wee1 inhibitor, AZD1775FOCUS4-C trial
C3CATM loss6%ATM inhibitor, AZD6738Company did not support concept
D1KRAS, NRAS and BRAF wild type40%pan-HER inhibitor, AZD7941FOCUS4-D trial
D2KRAS, NRAS and BRAF wild type40%MM151Company sold asset prior to contract
D3Triple wild type, HER2 negative25%Cetuximab and CDK4/6 inhibitorData from SCCHN19
D4Triple wild type, HER2 overexpressed2%Trastuzumab (Herceptin, F. Hoffman-La Roche Ltd, Basel, Switzerland) and CDK4/6 inhibitorBiomarker incidence too low
E1MMR deficient and POLE mutant4%Avelumab (Bavencio, Merck KGaA, Darmstadt, Germany and Pfizer Inc., New York, NY, USA)Company did not support concept
E2MMR deficient or TGFb activated30%Bintrafusp alphaEME programme did not extend grant
FWnt ligand dependant, axin 2 overexpressed9%RXC004 porcupine inhibitorEME programme did not extend grant
GALK/ROS rearrangements2%Crizotinib (Zalkori, Pfizer Inc.)Biomarker incidence too low
N1Non-stratified groupN/ACapecitabineFOCUS4-N trial reported and met primary end point
N2Non-stratified groupN/AAdd TAS-102 randomisationGlobal company did not support concept
N3Non-stratified groupN/AMetronomic cyclophosphamideEME programme did not extend grant

within companies, including the selling of assets suddenly and unexpectedly. Markers with incidence below 5% were also generally deemed too infrequent to pursue, although we have seen the very successful evaluation and licensing of immune checkpoint inhibitors in the MSI-high subgroup, which occurs in only 4% of metatastic CRCs.

Discussion and conclusions

Parts of this section have been reproduced with permission from Brown et al.20 This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/. The text below includes minor additions and formatting changes to the original text.

Adaptive trials not only provide significant advantages in the evaluation of multiple novel therapies in a disease setting, but also provide major challenges in their design, funding and delivery. FOCUS4 was jointly funded by the MRC/NIHR EME programme and Cancer Research UK (CRUK), with a combined budget (£3.6M) that was large in 2012 but small compared with current major molecularly stratified platform studies. Joint funding added a delay to trial initiation and review of amendments (performed via a sub-board representing both funders). For these trials to fulfil their aim of flexibility and nimbleness, it is important to learn and implement the lessons of undertaking complex trials in the era of the pandemic, particularly in terms of protocol and amendment approval, as recently espoused in the UK.21

The key features of the FOCUS4 design have all proved to be robust in the application. The use of PFS in the maintenance setting as the primary end point has been shown to be an effective indicator of agents with activity, which may not have been revealed through a more conventional assessment of response in end-stage patients. This is of particular relevance for trials in the maintenance therapy setting. It was not possible to progress a therapy as planned through to evaluate whether or not the activity was specific to the molecular subgroup initially identified. Nor did it prove possible to move from Phase II to Phase III testing. These limitations were due to timing and funding availability rather than design failure.

The setting of the interval after 16 weeks of induction chemotherapy for patients with metastatic disease is a novel one. The registration of olapraib (Lynparza, Astrazeneca) in this setting of olaparib in platinum-sensitive ovarian cancer has made this a more recognisable route to registration. It builds on a pattern of practice of allowing patients a complete break from therapy following several months of induction chemotherapy, which is evidence based. Although this method is not unique to the UK, it is perhaps more widely utilised in the UK than in many other countries. This may change as a result of the COVID-19 pandemic, as patients now choose to spend more time away from hospitals and many have preferred a move to remote monitoring.

Adding the complexity of molecular stratification to allocate patients into the optimal biomarker-defined subgroup adds an extra layer of challenges, including the developmental status of the biomarker, the predictive power of the biomarker and selectivity for the therapy being evaluated (which is usually underdeveloped for any novel agent). Timely and reproducible delivery of the biomarker-testing panel, understanding the prognostic impact of the biomarker selection and the need to accommodate biomarker-negative patients remains critical to success. During FOCUS4, the simple mutation-based stratification process for many of the biomarkers that we tested has become part of standard care. In the future, despite the now more widespread routine availability of NGS-based tumour profiling, trial-based stratification testing will continue to need to provide transcriptomic and other more sophisticated analyses. It may be that the revolution in digital pathology and artificial intelligence will enable some biological stratification to be achieved directly from routine images, as shown recently with consensus molecular subgroup subtyping.22

Rates of allocation into biomarker-selected groups are often very low in precision medicine studies, as exemplified by the Lung-Matrix Trial23 and the Lung-Map Trial.24 In the largest study of this kind, National Cancer Institute (NCI)-Match,25 5954 patients were enrolled with refractory malignancies, of whom 17.8% were assigned to a targeted therapy. Among these, 848 patients with CRC were registered, 13.7% of whom were assigned and 10% enrolled into a specific therapy trial.26 In FOCUS4, rather than assigning patients in non-randomised cohorts to therapies with hypothesised efficacy, 361 out of 1434 (25%) registered patients were randomised into a specified subtrial, and 107 (7.5%) of the registered patients were randomised into molecularly stratified subtrials. This attrition related to three main factors: (1) inadequacy of sample submission or analysis (10%), (2) death or progressive disease during induction therapy (27%) or (3) lack of availability of a suitable molecular subtrial or lack of patient consent when the patient was eligible for randomisation (60% of those potentially eligible). However, as shown in the evaluation of adavosertib in FOCUS4-C,27 randomisation against a control arm was critical to demonstrating efficacy, which would probably have been overlooked in a non-randomised design.

It is notable from the RECOVERY trial28 that negative results are more likely but are just as important as positive results in tackling diseases of high unmet clinical need. To date, the RECOVERY trial28 has identified four positive results [dexamethasone, tocilizumab, baricitinib (Olumiant®, Eli Lilly and Company, Indianapolis, IND, USA) and the combination of Casirivimab and imdevimab (Ronapreve, Roche, Basel, Switzerland)] and seven negative results since its set-up in March 2020. NCI-Match has 39 cohorts: 12 have published final results to date,29 of which six have shown positive results. In FOCUS4, two positive results (capecitabine and adavosertib) were reported, one clear negative result and one feasibility failure.

Although non-commercial organisations may be best placed to set up and run such studies enabling collaboration with different pharmaceutical companies for different agents, engagement with the pharmaceutical and biotechnology industries is critical to success. A large amount of investigator time was spent negotiating with companies to test their agents in the platform, but only 4 out of 20 drug combinations explored came to fruition. To obtain approval from companies to include their agents, a very robust approach to the development of preclinical data packages to support the selection of particular drug/biomarker combinations is essential. This requires a well-funded, preclinical testing collaboration, ideally with disease subtype-specific models using genetically engineered mouse models, patient-derived xenograft and patient-derived organoids linked to detailed disease stratification information. From this basis, strong applications can be made to pharma to include agents in such precision medicine studies with a higher likelihood of success than was observed in FOCUS4. Only in the last 2 years has this been available through separate funding streams (the MRC stratified medicine consortium S:CORT30 and the ACRCelerate collaboration31 jointly funded by CRUK, the Italian Association for Cancer Research and the Spanish Association Against Cancer) and the fruit of this is yet to be seen to feed into an updated precision medicine study in CRC.

The enterprise of precision medicine adaptive platform trials is a massive exercise in team science. It is a tribute to the large body of investigators, research nurses and data managers at sites, laboratory scientists and trial unit staff, with the support from the institutions, funders and pharmaceutical companies, and, central to all of this, our patients, who have enabled us to complete this FOCUS4 trial.

← MethodsResults from FOCUS4-B →

Attribution. Louise C Brown; David Fisher; Richard Adams; Jenny Seligmann; Matthew Seymour; Richard Kaplan et al. (2022). Molecular selection of therapy in metastatic colorectal cancer: the FOCUS4 molecularly stratified RCT. National Institute for Health and Care Research. Copyright © 2022 Brown et al. This work was produced by Brown et al. under the terms of a commissioning contract issued by the Secretary of State for Health and Social Care. This is an Open Access publication distributed under the terms of the Creative Commons Attribution CC BY 4.0 licence, which permits unrestricted use, distribution, reproduction and adaption in any medium and for any purpose provided that it is properly attributed. See: https://creativecommons.org/licenses/by/4.0/. For attribution the title, original author(s), the publication source – NIHR Journals Library, and the DOI of the publication must be cited. Licensed under CC BY 4.0. NCBI Bookshelf NBK587971. CC BY 4.0. Original source ↗. Text reproduced from the Bookshelf XML without changing wording; figures, images and supplements are not reproduced.

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