Adjuvant Bestatin immunotherapy in patients with transitional cell carcinoma of the bladder

Summary The first clinical results of an ongoing, prospective trial to determine the value of adjuvant Bestatin immunotherapy in the management of bladder cancer are presented. Patients with nonmetastatic transitional cell carcinoma of the bladder, scheduled for fulldose local radiation therapy (64 Gy), were randomly allocated to adjuvant oral Bestatin treatment (30 mg daily for at least 1 year), starting at completion of irradiation, or no Bestatin. The longest follow-up period of the 151 evaluable patients is 6 years. The results have shown that the disease-free survival of the patients taking Bestatin is significantly improved compared to the controls (p=0.04). However, the overall survival of the patients was not affected by the Bestatin treatment. The beneficial effect of Bestatin seemed to be more marked among men than women. Furthermore, statistical analyses of the patient material according to T tumor categories suggested that compared to the controls, patients with less advanced disease (T1 and T2) benefitted more from Bestatin treatment than those with more advanced tumors (T3 and T4). The results of this ongoing trial thus show that patients with bladder cancer benefit from adjuvant Bestatin treatment in terms of disease-free survival.     

Estimating treatment effects from a randomized clinical trial in the presence of a secondary treatment

In randomized clinical trials involving survival time, a challenge that arises frequently, for example, in cancer studies (Manegold, Symanowski, Gatzemeier, Reck, von Pawel, Kortsik, Nackaerts, Lianes and Vogelzang, 2005. Second-line (post-study) chemotherapy received by patients treated in the phase III trial of pemetrexed plus cisplatin versus cisplatin alone in malignant pleural mesothelioma. Annals of Oncology 16, 923--927), is that subjects may initiate secondary treatments during the follow-up. The marginal structural Cox model and the method of inverse probability of treatment weighting (IPTW) have been proposed, originally for observational studies, to make causal inference on time-dependent treatments. In this paper, we adopt the marginal structural Cox model and propose an inferential method that improves the efficiency of the usual IPTW method by tailoring it to the setting of randomized clinical trials. The improvement in efficiency does not depend on any additional assumptions other than those required by the IPTW method, which is achieved by exploiting the knowledge that the study treatment is independent of baseline covariates due to randomization. The finite-sample performance of the proposed method is demonstrated via simulations and by application to data from a cancer clinical trial.     

Inference for the effect of treatment on survival probability in randomized trials with noncompliance and administrative censoring

In many clinical studies with a survival outcome, administrative censoring occurs when follow-up ends at a prespecified date and many subjects are still alive. An additional complication in some trials is that there is noncompliance with the assigned treatment. For this setting, we study the estimation of the causal effect of treatment on survival probability up to a given time point among those subjects who would comply with the assignment to both treatment and control. We first discuss the standard instrumental variable (IV) method for survival outcomes and parametric maximum likelihood methods, and then develop an efficient plug-in nonparametric empirical maximum likelihood estimation (PNEMLE) approach. The PNEMLE method does not make any assumptions on outcome distributions, and makes use of the mixture structure in the data to gain efficiency over the standard IV method. Theoretical results of the PNEMLE are derived and the method is illustrated by an analysis of data from a breast cancer screening trial. From our limited mortality analysis with administrative censoring times 10 years into the follow-up, we find a significant benefit of screening is present after 4 years (at the 5% level) and this persists at 10 years follow-up.     

Neoadjuvant checkpoint inhibition in non-small cell lung cancer: Is earlier unquestionably better than later?

On March 4th 2022, nivolumab received regular US Food and Drug Administration approval, based on the CheckMate 816 trial results, for use “with platinum-doublet chemotherapy for adult patients with resectable NSCLC in the neoadjuvant setting”. This is the first neoadjuvant approval of a checkpoint inhibitor, a unique event in the history of lung cancer treatment. However, open questions remains. First, the co-primary endpoints of the CheckMate 816 trial (event-free survival and pathological complete response) are not yet validated surrogate endpoints in this setting. Second, the control arm was not reflecting the most common approach, being upfront surgery followed by adjuvant chemotherapy. Third, protocol changes were not plainly justified, questioning the analytic plan of the trial. Fourth and last, a subpar access to checkpoint inhibitor for patients upon progression may weaken overall survival results. Neoadjuvant strategies allow to study initial response under treatment, and constitute an encouraging therapeutic avenue. However, the best sequence of treatment is the key question in the neoadjuvant or adjuvant settings: is treating everyone upfront better than treating only patients that will eventually recur?Investigating optimal sequence strategy is even more critical within the checkpoint-inhibitor era, where patients with advanced or metastatic disease may present long-term advantage. Trials with optimal post-progression treatment are needed to help optimize our treatment algorithm, and spare toxicity for patients who don't derive benefit.     

Estimation of survival distributions of treatment policies in two-stage randomization designs in clinical trials

Some clinical trials follow a design where patients are randomized to a primary therapy at entry followed by another randomization to maintenance therapy contingent upon disease remission. Ideally, analysis would allow different treatment policies, i.e., combinations of primary and maintenance therapy if specified up-front, to be compared. Standard practice is to conduct separate analyses for the primary and follow-up treatments, which does not address this issue directly. We propose consistent estimators for the survival distribution and mean restricted survival time for each treatment policy in such two-stage studies and derive large-sample properties. The methods are demonstrated on a leukemia clinical trial data set and through simulation.     

Orchidectomy versus buserelin in combination with cyproterone acetate, for 2 weeks or continuously, in the treatment of metastatic prostatic cancer. Preliminary results of EORTC-trial 30843

This prospective randomized phase III trial compares orchidectomy as standard androgen-deprivative therapy of advanced (metastatic) prostatic cancer with treatment using the LHRH agonist Buserelin^® administered as nasal spray 3 daily doses of 400 μg, and combined with cyproterone acetate (CPA) 3 daily doses of 50 mg orally for 2 weeks initially to prevent flare-up of the disease, or continuously as complete androgen blockade. The trial was closed to entry in September 1989 when 367 patients were recruited. Patients were stratified for performance status (WHO) and metastatic status prior to randomization. According to patient and disease characteristics spreading of patients over the 3 arms was without statistical significant differences. Ineligibility was 5 and 4% of the patients were only partly evaluable. In March 1990 a first, preliminary analysis was performed. At that time 207 patients were off-study for progression or death and median follow-up was 1 yr. As to time-to-progression and survival there were no significant differences between the 3 arms. The meaning of this in regard to results of other trials with complete androgen blockade is discussed.     

Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

ABSTRACT: BACKGROUND: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed) controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 hours' duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45cmH2O and peak pressure of 60cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4-6 mL/kg of predicted body weight) and targeting plateau pressure [less than or equal to]30cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from day 1 to day 28; ICU, in-hospital and 6-month survival. ART is an event guided-trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum-recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.     

Two immune faces of pancreatic adenocarcinoma: possible implication for immunotherapy

Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive human neoplasms, having extremely poor prognosis with a 5-year survival rate of <1 % and a median survival of 6 months. In contrast to other malignancies, pancreatic cancer is highly resistant to chemotherapy and targeted therapy. Therefore, new treatment options are urgently needed to improve the survival of patients with PDAC. Based on our data showing that patients with higher CD8+ T cell tumour infiltration exhibited prolonged overall and disease-free survival compared to patients with lower or without CD8+ T cell tumour infiltration, we suggested that immunotherapy could be a promising treatment option for PDAC. However, clinical data from the chemoradioimmunotherapy with interferon-α (IFN) trial did not point to an improved efficiency of chemoradiation combined with IFN as compared to chemoradiotherapy alone, suggesting an important role of the immune suppression induced by PDAC and/or unspecific immune stimulation. In support of this hypothesis, we found that the PDAC patients and experimental mice had an increased number of regulatory T cells and myeloid-derived suppressor cells. These results allowed us to conclude that PDAC provokes not only an anti-tumour immune response, but also strong immune suppression. Thus, we supposed that new immunotherapeutical strategies should involve not only stimulation of the immune system of PDAC patients, but also exert control over the tumour immune suppressive milieu.     

MVA-5T4-induced immune responses are an early marker of efficacy in renal cancer patients

Few immunotherapy compounds have demonstrated a direct link between the predicted mode of action of the product and benefit to the patient. Since cancer vaccines are thought to have a delayed therapeutic effect, identification of the active moiety may enable the development of an early marker of efficacy. Patients with renal cancer and requiring first-line treatment for metastatic disease were randomized 1:1 to receive MVA-5T4 (TroVax^?) or placebo alongside Sunitinib, IL-2 or IFN-?? in a multicentre phase III trial. Antibody responses were quantified following the 3rd and 4th vaccinations. A surrogate for 5T4 antibody response (the immune response surrogate; IRS) was constructed and then used in a survival analysis to evaluate treatment benefit. Seven hundred and thirty-three patients were randomized, and immune responses were assessed in 590 patients. A high 5T4 antibody response was associated with longer survival within the MVA?C5T4-treated group. The IRS was constructed as a linear combination of pre-treatment 5T4 antibody levels, hemoglobin and hematocrit and was shown to be a significant predictor of treatment benefit in the phase III study. Importantly, the IRS was also associated with antibody response and survival in an independent dataset comprising renal, colorectal and prostate cancer patients treated with MVA?C5T4 in phase I?CII studies. The derivation of the IRS formed part of an exploratory, retrospective analysis; however, if confirmed in future studies, the results have important implications for the development and use of the MVA?C5T4 vaccine and potentially for other similar vaccines.     

Repeated significance tests for clinical trials with a fixed number of patients and variable follow-up

Group-sequential tests may be applied to trials in which the number of patients is fixed, a response variable is measured for each patient at successive follow-up visits, and the accumulated responses are compared across treatment groups. The standard theory is inapplicable because the increments in the accumulated responses are no longer independent. An adjustment can be made to allow for the ratio of between-patient to within-patient variance and for possible first-order autocorrelation. The method is illustrated by reference to a dental trial.     

Long-term follow-up of patients with myocarditis and idiopathic dilated cardiomyopathy after immunomodulatory therapy

Abstract The randomized clinical trial with interferon-α (IFN) or thymic hormones versus conventional therapy was conducted in patients with myocarditis and idiopathic dilated cardiomyopathy (IDC). We enrolled 180 patients to receive IFN (3–5 million units per day) for 3 months, thymomodulin (10 mg three times per week) for 2 months, or conventional therapy alone. Patients were followed-up for 7 years after the end of treatment. Left ventricular function, exercise tolerance and survival rate were significantly better at long-term follow-up in patients treated with IFN or thymomodulin, than in conventionally treated patients. These results implicate that immune modulating therapy might represent important contribution in the treatment of myocarditis and IDC.     

The area between ROC curves,a non-parametric method to evaluate a biomarker for patient treatment selection

Treatment selection markers are generally sought for when the benefit of an innovative treatment in comparison with a reference treatment is considered, and this benefit is suspected to vary according to the characteristics of the patients. Classically, such quantitative markers are detected through testing a marker-by-treatment interaction in a parametric regression model. Most alternative methods rely on modeling the risk of event occurrence in each treatment arm or the benefit of the innovative treatment over the marker values, but with assumptions that may be difficult to verify. Herein, a simple non-parametric approach is proposed to detect and assess the general capacity of a quantitative marker for treatment selection when no overall difference in efficacy could be demonstrated between two treatments in a clinical trial. This graphical method relies on the area between treatment-arm-specific receiver operating characteristic curves (ABC), which reflects the treatment selection capacity of the marker. A simulation study assessed the inference properties of the ABC estimator and compared them with other parametric and non-parametric indicators. The simulations showed that the estimate of the ABC had low bias, power comparable to parametric indicators, and that its confidence interval had a good coverage probability (better than the other non-parametric indicator in some cases). Thus, the ABC is a good alternative to parametric indicators. The ABC method was applied to data of the PETACC-8 trial that investigated FOLFOX4 versus FOLFOX4 + cetuximab in stage III colon adenocarcinoma. It enabled the detection of a treatment selection marker: the DDR2 gene.     

Long-term follow-up of patients treated by adoptive transfer of melanoma tumor-infiltrating lymphocytes as adjuvant therapy for stage III melanoma

The first analysis of our clinical trial on interest of using tumor-infiltrating lymphocytes (TIL) as adjuvant therapy for stage III (regional lymph nodes) melanoma was published in 2002 [5]. The aim of this paper is to update clinical results of 7 years of follow-up after the last treated patient. In the trial conducted between December 1993 and January 1999, patients without any detectable metastases after lymph node excision were randomly assigned to receive either TIL plus interleukin-2 (IL-2) for 2 months, or IL-2 only. The duration of the relapse-free interval was the primary objective. Eighty-eight patients were enrolled in the study. Currently, the last analysis performed in June 2006, after a median follow-up of 114.8 months, did not show change of non-significant extension of the relapse-free interval or overall survival. However, this second analysis strengthens our first hypothesis about the relationship between number of invaded lymph nodes and TIL treatment effectiveness. In the group with only one invaded lymph node, the estimated relapse rate was significantly lower (P _adjusted = 0.0219) and the overall survival was increased (P _adjusted = 0.0125) in the TIL+IL-2 arm compared with the IL-2 only arm. No differences between the two arms, either with regard to the duration of disease-free survival (P _adjusted = 0.38) or overall survival (P _adjusted = 0.43), were noted in the group with more than one invaded lymph node, whatever the number of invaded lymph nodes. Treatment was compatible with normal daily activity. This study, with a very long follow up (median of almost 10 years), postulates for the first time relationship between TIL efficiency in stage III melanoma (AJCC) and number of invaded lymph nodes, indicating that tumor burden might be a crucial factor in the production of an effective in vitro expansion of T cells specific for autologous tumor antigen, a finding which could be of value in future vaccine development for the treatment of melanoma.     

Constructing a confidence interval for the fraction who benefit from treatment,using randomized trial data

The fraction who benefit from treatment is the proportion of patients whose potential outcome under treatment is better than that under control. Inference on this parameter is challenging since it is only partially identifiable, even in our context of a randomized trial. We propose a new method for constructing a confidence interval for the fraction, when the outcome is ordinal or binary. Our confidence interval procedure is pointwise consistent. It does not require any assumptions about the joint distribution of the potential outcomes, although it has the flexibility to incorporate various user‐defined assumptions. Our method is based on a stochastic optimization technique involving a second‐order, asymptotic approximation that, to the best of our knowledge, has not been applied to biomedical studies. This approximation leads to statistics that are solutions to quadratic programs, which can be computed efficiently using optimization tools. In simulation, our method attains the nominal coverage probability or higher, and can have narrower average width than competitor methods. We apply it to a trial of a new intervention for stroke.     

Expected life years compared to the general population

For cohorts with long-term follow-up, the number of years lost due to a certain disease yields a measure with a simple and appealing interpretation. Recently, an overview of the methodology used for this goal has been published, and two measures have been proposed. In this work, we consider a third option that may be useful in settings in which the other two are inappropriate. In all three measures, the survival of the given dataset is compared to the expected survival in the general population which is calculated using external mortality tables. We thoroughly analyze the differences between the three measures, their assumptions, interpretation, and the corresponding estimators. The first measure is defined in a competing risk setting and assumes an excess hazard compared to the population, while the other two measures also allow estimation for groups that live better than the general population. In this case, the observed survival of the patients is compared to that in the population. The starting point of this comparison depends on whether the entry into the study is a hazard changing event (e.g., disease diagnosis or the age at which the inclusion criteria were met). Focusing on the newly defined life years difference measure, we study the estimation of the variance and consider the possible challenges (e.g., extrapolation) that occur in practice. We illustrate its use with a dataset of French Olympic athletes. Finally, an efficient R implementation has been developed for all three measures which make this work easily available to subsequent users.     

A multistate model for early decision-making in oncology

The development of oncology drugs progresses through multiple phases, where after each phase, a decision is made about whether to move a molecule forward. Early phase efficacy decisions are often made on the basis of single-arm studies based on a set of rules to define whether the tumor improves (“responds”), remains stable, or progresses (response evaluation criteria in solid tumors [RECIST]). These decision rules are implicitly assuming some form of surrogacy between tumor response and long-term endpoints like progression-free survival (PFS) or overall survival (OS). With the emergence of new therapies, for which the link between RECIST tumor response and long-term endpoints is either not accessible yet, or the link is weaker than with classical chemotherapies, tumor response-based rules may not be optimal. In this paper, we explore the use of a multistate model for decision-making based on single-arm early phase trials. The multistate model allows to account for more information than the simple RECIST response status, namely, the time to get to response, the duration of response, the PFS time, and time to death. We propose to base the decision on efficacy on the OS hazard ratio (HR) comparing historical control to data from the experimental treatment, with the latter predicted from a multistate model based on early phase data with limited survival follow-up. Using two case studies, we illustrate feasibility of the estimation of such an OS HR. We argue that, in the presence of limited follow-up and small sample size, and making realistic assumptions within the multistate model, the OS prediction is acceptable and may lead to better early decisions within the development of a drug.     

Adjuvant BCG immunotherapy for stage I and II malignant melanoma.

Initial adjuvant immunotherapy trials have demonstrated a greater disease-free interval in patients treated with bacille Calmette-Guérin (BCG) compared with historical controls. In this study 149 patients at high risk of recurrence after surgical treatment of local or regional malignant melanoma were given BCG for 2 years and were followed up for a median of 28 months from the start of immunotherapy. The 36 patients in the comparison group had a higher rate of recurrence than the patients treated with BCG, and the rate in the treatment group was close to that reported from a similar study at the University of California at Los Angeles. The relatively long disease-free interval for the high-risk comparison patients in this study suggests that the control groups at other centres may have included patients with unrecognized additional risk. The rates of survival in the Canadian treatment group were also comparable to those reported by other centres. However, reports of a favourable BCG-mediated pattern of recurrence could not be confirmed. Therefore, the routine use of adjuvant BCG immunotherapy is not recommended.     

Plant response to biochar,compost, and mycorrhizal fungal amendments in post‐mine sandpits

Extreme growing conditions inhibit restoration in sandpit mines. Co‐amendment of soil conditioners such as biochar, compost, and arbuscular mycorrhizal fungi (AMF) may alleviate these stresses and lead to a more successful restoration. We conducted a multiyear restoration experiment in a sandpit in Southern Ontario, Canada, following industrial‐scale grassland restoration protocols. The sandpit substrate was sand with low carbon (C) and nutrients. We tested the effect of biochar, compost, and AMF inoculum in two experiments (plant plugs vs. seed application). In the plant plug trial, we investigated the treatment effects on the growth of eight grassland plant species and colonization of plant roots by AMF over two growing seasons. We found that co‐amending soils with compost plus biochar (20 T/ha + 10 T/ha) was more beneficial than other amendment combinations. Amendments including AMF were not more beneficial to plant growth than those without AMF. In the seed application trial, direct inoculation of AMF in the field combined with high compost addition (20 T/ha or 40 T/ha) resulted in the highest plant cover compared to other treatment combinations. Our results indicate that co‐amending sandpit substrates with biochar, compost, and AMF are practical restoration tools that enhance grassland restoration.     

Chemotherapy in pancreatic cancer: results of a controlled,prospective, randomised,multicentre trial.

Forty patients with inoperable pancreatic cancer were included in a prospective, randomised, controlled trial of multiple chemotherapy. The survival of 19 untreated control patients was compared with that of 21 patients who received an initiation course of intravenous fluorouracil, cyclophosphamide, methotrexate, and vincristine given over five days followed by intravenous fluorouracil and mitomycin given over three or five days at six-week intervals thereafter. Median survival in treated patients was 44 weeks, which was significantly longer than the nine weeks seen in controls. In patients without metastases median survival was 48 weeks in the treated group and 12 weeks in controls. In patients with metastases it was 30 weeks in treated patients and seven weeks in controls. The treatment was well tolerated and seemed to confer a significant prolongation of survival, comparing favourably with previous reports of chemotherapy with or without radiotherapy. If the results are confirmed this regimen may be useful in district general hospital practice.