Frequency and level of evidence used in recommendations by the National Comprehensive Cancer Network guidelines beyond approvals of the US Food and Drug Administration: retrospective observational study

Pharmaceutical Industry Payments to Medical Oncologists in the Netherlands: Trends and Patterns Provided by an Open-Access Transparency Data Set

PURPOSE

Health care expenditure related to oncologic treatments is skyrocketing although many treatments offer marginal, if any, clinical benefit. Financial conflicts of interest (fCOI) resulting from pharmaceutical industry (pharma) payments to physicians is increasingly recognized as a predictive factor for regulatory board approval and guideline incorporation of low-value treatments. We sought to study the extent to which pharma payments to medical oncologists occur in the Netherlands, the amount of money involved, and whether these occur more frequently and are higher for key opinion leaders (KOLs).

METHODS

In our cross-sectional retrospective database study, we used several Dutch open-access databases and extracted data registered between 2019 and 2021.

RESULTS

A cumulative amount of €899,863 was paid to 48.8% of the 408 registered medical oncologists. Over time, there was a marked decline in both the proportion of medical oncologists receiving payments (from 40.4% in 2019 to 19.1% in 2021) and the mean annual value of payments (from €2,962 in 2019 to €2,188 in 2021) with the latter mainly resulting from a decline in hospitality-related transactions. KOLs were more likely to receive industry payments and received a higher median payment value.

DISCUSSION

Our findings should contribute to the increasing awareness in the Netherlands of the potential effects of fCOI.

Probability of Regulatory Approval Over Time: A Cohort Study of Cancer Therapies

PURPOSE

New cancer therapies are frequently evaluated in multiple disease indications. We evaluated whether the probability of achieving US Food and Drug Administration (FDA) approval for a new cancer therapy changes with time.

METHODS

We identified a cohort of anticancer drugs with a first registered efficacy trial from 2007 to 2011 on ClinicalTrials.gov. We downloaded all clinical trials for each included drug from the initiation of efficacy testing to January 11, 2021. Each trial was categorized by cancer indication and assigned to investigational trajectories on the basis of unique drug-indication pairings. We performed a univariate Cox's proportional hazards regression to assess the probability of a trajectory leading to regulatory approval over time since initiation of the first efficacy trial for a given drug.

RESULTS

We included 213 drugs in our cohort, of which 37 (17.4%) received FDA approval in at least one oncology indication. In our primary analysis, we found a 15% decrease in the probability of approval for every year since initiation of the first efficacy trial (hazard ratio [HR], 0.85 [95% CI, 0.73 to 0.99]; P = .032). We found a 45% increase in the probability of approval for the first trajectory launched for a given drug in comparison with all others (HR, 0.55 [95% CI, 0.33 to 0.91]; P = .021).

CONCLUSION

Drug-indication pairings pursued years after initial testing for efficacy have lowered probability of affecting care. Clinical trial investigators, sponsors, and regulatory bodies may benefit from awareness of this trend when considering both early and late trajectory trials in a drug's development.

Use of suboptimal control arms in randomized clinical trials of investigational cancer drugs in China, 2016-2021: An observational study

BACKGROUND

The use of suboptimal controls in randomized trials of new cancer drugs can produce potentially unreliable clinical efficacy results over the current standard of care and expose patients to substandard therapy. We aim to investigate the proportion of randomized trials of investigational cancer drugs that used a suboptimal control arm and the number of trial participants at risk of exposure to suboptimal treatments in China. The association between the use of a suboptimal control and concluding statistical significance on the primary endpoint was also examined.

METHODS AND FINDINGS

This observational study included randomized controlled trials (RCTs) of cancer drugs that were authorized by specific Chinese institutional review boards between 2016 and 2021, supporting investigational new drug applications of these drugs in China. The proportion of trials that used a suboptimal control arm and the total number of trial participants at risk of exposure to suboptimal treatments were calculated. In a randomized trial for a specific condition, a comparator was deemed suboptimal if it was not recommended by clinical guidelines published in priori or if there existed a regimen with a higher level of recommendation for the indication. The final sample included 453 Phase II/III and Phase III randomized oncology trials. Overall, 60 trials (13.2%) adopted a suboptimal control arm. Among them, 58.3% (35/60) used comparators that were not recommended by a prior guideline for the indication. The cumulative number of trial participants at risk of exposure to suboptimal treatments totaled 18,610 by the end of 2021, contributing 15.1% to the total number of enrollees of all sampled RCTs in this study. After adjusting for the year of ethical approval, region of participant recruitment, line of therapy, and cancer site, second-line therapies (adjusted odds ratio [aOR] = 2.7, 95%CI [1.2, 5.9]), adjuvant therapies (aOR = 8.9, 95% CI [3.4, 23.1]), maintenance therapies (aOR = 5.2, 95% CI [1.6, 17.0]), and trials recruiting participants in China only (aOR = 4.1, 95% CI [2.1, 8.0]) were more likely to adopt a suboptimal control. For the 105 trials with publicly available results, no statistically significant difference was observed between the use of a suboptimal control and concluding positive on the primary endpoint (100.0% [12/12] versus 83.9% [78/93], p = 0.208). The main limitation of this study is its reliance on clinical guidelines that could vary across cancer types and time in assessing the quality of the control groups.

CONCLUSIONS

In this study, over one-eighth of randomized trials of cancer drugs registered to apply for regulatory approval in China used a suboptimal comparator. Our results highlight the necessity to refine the design of randomized trials to generate optimal clinical evidence for new cancer therapies.

National Comprehensive Cancer Network Guideline Recommendations of Cancer Drugs With Accelerated Approval

Importance

Many cancer drugs are approved under the US Food and Drug Administration (FDA) accelerated approval pathway based on preliminary evidence. It is unclear how this limited evidence is integrated into the National Comprehensive Cancer Network (NCCN) guidelines, which are common references for clinicians and are used by public and private payers to determine reimbursement for oncology treatments.

Objective

To analyze the NCCN guidelines' assessments for cancer drug indications that received FDA accelerated approval compared with cancer drug indications that received FDA regular approval.

Design, Setting, and Participants

This cross-sectional study analyzes FDA-approved indications for cancer drugs that were granted accelerated approval from program inception in 1992 to June 30, 2022. For each drug, the FDA-approved labeling was reviewed to identify all indications. All analyses were performed at the drug-indication level.

Exposure

The exposure was FDA regulatory status as of October 2022, including regular approval, accelerated approval, accelerated approval converted to regular approval, and withdrawn accelerated approval.

Main Outcomes and Measures

The level of evidence and consensus (category 1, 2A, 2B, and 3) and treatment preference (preferred, alternative preferred, other recommended, and useful in certain circumstances) ratings assigned by NCCN committees as of February 2023.

Results

A total of 315 oncology indications for 100 drugs were analyzed. These indications included 156 (50%) with regular approval, 60 (38%) with accelerated approval, 78 (49%) with accelerated approval that was converted to regular approval, and 21 (13%) with withdrawn accelerated approvals. Among all indications, 105 (33%) were rated by the NCCN as having category 1 evidence, 185 (59%) with category 2A, 6 (2%) with category 2B, and 2 (1%) with category 3 evidence. Compared with indications with regular approval, those with accelerated approval were less frequently assigned category 1 evidence (47% vs 3%; P < .001) and were less often listed as preferred treatment options (58% vs 40%; P = .008). Among the 21 withdrawn accelerated approval indications, 8 (38%) remained in the NCCN guidelines, with most having level 2A evidence ratings.

Conclusions and Relevance

This study found that cancer drug indications with accelerated approval were less likely to be assigned high-level evidence ratings and preferred status in the NCCN guidelines compared with indications with regular approval; most accelerated and regular approval drugs had low-quality evidence ratings but high levels of consensus among oncologists on NCCN committees. Greater clarity on the thresholds and definitions of evidence levels would make the NCCN guidelines more useful to clinicians, patients, and payers.

The Day-To-Day Practice of MMR and MSI Assessment in Colorectal Adenocarcinoma: What We Know and What We Still Need to Explore

BACKGROUND

The DNA mismatch repair (MMR) system is a highly preserved protein complex recognizing short insertions, short deletions, and single base mismatches during DNA replication and recombination. MMR protein status is identified using immunohistochemistry. Deficit in one or more MMR proteins, configuring deficient MMR status (dMMR), leads to frameshift mutations particularly clustered in microsatellite repeats. Thus, microsatellite instability (MSI) is the epiphenomenon of dMMR. In colorectal cancer (CRC), MMR/MSI status is a biomarker with prognostic and predictive value of resistance to 5-fluorouracil and response to immune checkpoint inhibitor therapy.

SUMMARY

In this Review, we describe the challenges the practicing pathologist may face in relation to the assessment of MMR/MSI status and any open issues which still need to be addressed, focusing on pre-analytic issues, pitfalls in the interpretation, and technical aspects of the different assays.

KEY MESSAGES

The current methods of detecting dMMR/MSI status have been optimized for CRCs, and whether these techniques can be applied to all tumor and specimen types is still not fully understood. Following the Food and Drug Administration (FDA), tissue/site agnostic drug approval of pembrolizumab for advanced/metastatic MSI tumors, MMR/MSI status in gastrointestinal tract is a common request from the oncologist. In this setting, several issues still need to be addressed, including criteria for sample adequacy.

Evidence of clinical benefit of WHO essential anticancer medicines for children, 2011-2021

Background

Access to essential cancer medicines is a key determinant of childhood cancer survival. WHO published the Model List of Essential Medicine for Children (EMLc) and updated it every two years since 2007 to promote better access to medicines for children. This study aimed to assess whether the inclusion of essential anticancer medicines for respective indications for children was based on evidence of significant clinical benefit between 2011 and 2021.

Methods

We identified all anticancer medicine indications added to the WHO EMLc Section 8 since 2011 and extracted evidence of benefit documented in the corresponding technical reports. Evidence in children was defined as evidence that included participants under 12, and graded into five levels, according to the Oxford Centre for Evidence-Based Medicine Levels of Evidence. We analyzed whether each anticancer medicine indication was listed with documented OS benefit or improvements in surrogate measures based on the highest level of documented evidence in children.

Findings

A total of 115 anticancer medicine indications were added to the EMLc from 2011 to 2021, of which 101 (87.8%) had some clinical evidence in children and 4 (3.5%) were added without any clinical evidence. Among the 101 medicine indications, none were added with level-1 evidence in children, and 43 (42.6%), 11 (10.9%), 41 (40.6%), and 6 (5.9%) were listed with level-2, level-3, level-4, and level-5 evidence in children, respectively. Only eight (7.9%) medicine indications were reported to have OS benefit, another 12 (11.9%) were reported to have improvements on surrogate measures, and 81 (80.2%) were listed in the EMLc without documented improvements in either OS or surrogate measures.

Interpretation

Most anticancer medicine indications of the WHO EMLc were added based on limited evidence of statistically significant clinical benefit in children. Our results suggest that WHO should refine requirements for clinical benefit criteria and permissible forms, quality, and reporting of evidence of essential anticancer medicines for children, specify whether anticancer medicine indications have required evidence of clinical benefit in children, and provide further details in its technical reports that summarise the available evidence.

Funding

Not applicable.

Project rebuild the evidence base (REB): A method to interpret randomised clinical trials and their meta-analysis to present solid benefit-risk assessments to patients

Evidence-based medicine is the cornerstone of shared-decision making in healthcare today. The public deserves clear, transparent and trust-worthy information on drug efficacy. Yet today, many drugs are prescribed and used without solid evidence of efficacy. Clinical trials and randomised clinical trials (RCTs) are the best method to evaluate drug efficacy and side effects. In a shared medical decision-making approach, general practitioners need drug assessment based on patient-important outcomes. The aim of project rebuild the evidence base (REB) is to bridge the gap between the data needed in clinical practice and the data available from clinical research. The drugs will be assessed on clinical patient important outcomes and for a population. Using the Cochrane tools, we propose to analyse for each population and outcome: 1) a meta-analysis based on RCTs with a low risk of bias overall; 2) an evaluation of results of confirmatory RCTs; 3) a statistical analysis of heterrogeneity between RCTs and 4) an analysis of publication bias. Depending on the results of these analyses, the evidence will be categorized in 4 different levels: firm evidence, evidence (to be confirmed), signal or absence of evidence. Project REB proposes a method for reading and interpreting RCTs and their meta-analysis to produce quality data for general practitioners to focus on risk-benefit assessment in the interest of patients. If this data does not exist, it could enable clinical research to better its aim.

Levels of Evidence for Radiation Therapy Recommendations in the National Comprehensive Cancer Network (NCCN) Clinical Guidelines

Purpose

The National Comprehensive Cancer Network (NCCN) clinical guidelines influence medical practice, payor coverage, and standards of care. The levels of evidence underlying radiation therapy recommendations in NCCN have not been systematically explored. Herein, we aim to systematically investigate the NCCN recommendations pertaining to the categories of consensus and evidence (CE) for radiation therapy.

Methods and Materials

We evaluated the distribution of CE underlying current treatment recommendations for the 20 most prevalent cancers in the United States with at least 10 radiation therapy recommendations in the NCCN clinical guidelines. For context, the distribution of evidence in the radiation therapy guidelines was compared with that of systemic therapy using a χ² test. The proportion of category I CE between radiation and systemic therapy was compared using a 2-proportion, 2-tailed z-test in total and for each disease site. A P value of < .05 was considered significant.

Results

Among all radiation therapy recommendations, the proportions of category I, IIA, IIB, and III CE were 9.7%, 80.6%, 8.4%, and 1.3%, respectively. When analyzed by disease site, cervix and breast cancer had the highest portion of category I CE (33% and 31%, respectively). There was no radiation therapy category I CE for hepatobiliary, bone, pancreatic, melanoma, and uterine cancers. There was a significant difference in the distribution of CE between the systemic therapy recommendations and the radiation therapy recommendations (χ² statistic 64.16, P < .001). Overall, there was a significantly higher proportion of category I CE in the systemic therapy recommendations compared with the radiation therapy recommendations (12.3% vs 9.7%, P = .043).

Conclusions

Only 9.7% of radiation therapy recommendations in NCCN guidelines are category I CE. The highest levels of evidence for radiation therapy are in breast and cervical cancers. Despite major advances in the field, these data underline that the majority of NCCN radiation therapy recommendations are based on uniform expert opinion and not on higher level evidence.

An urgent call to raise the bar in oncology

Important breakthroughs in medical treatments have improved outcomes for patients suffering from several types of cancer. However, many oncological treatments approved by regulatory agencies are of low value and do not contribute significantly to cancer mortality reduction, but lead to unrealistic patient expectations and push even affluent societies to unsustainable health care costs. Several factors that contribute to approvals of low-value oncology treatments are addressed, including issues with clinical trials, bias in reporting, regulatory agency shortcomings and drug pricing. With the COVID-19 pandemic enforcing the elimination of low-value interventions in all fields of medicine, efforts should urgently be made by all involved in cancer care to select only high-value and sustainable interventions. Transformation of medical education, improvement in clinical trial design, quality, conduct and reporting, strict adherence to scientific norms by regulatory agencies and use of value-based scales can all contribute to raising the bar for oncology drug approvals and influence drug pricing and availability.

Advances in acute myeloid leukemia

Acute myeloid leukemia (AML) is an uncommon but potentially catastrophic diagnosis with historically high mortality rates. The standard of care treatment remained unchanged for decades; however, recent discoveries of molecular drivers of leukemogenesis and disease progression have led to novel therapies for AML. Ongoing research and clinical trials are actively seeking to personalize therapy by identifying molecular targets, discovering patient specific and disease specific risk factors, and identifying effective combinations of modalities and drugs. This review focuses on important updates in diagnostic and disease classifications that reflect new understanding of the biology of AML, its mutational heterogeneity, some important genetic and environmental risk factors, and new treatment options including cytotoxic chemotherapy, novel targeted agents, and cellular therapies.

Regulatory and clinical consequences of negative confirmatory trials of accelerated approval cancer drugs: retrospective observational study

OBJECTIVES

To investigate the regulatory handling of cancer drugs that were granted accelerated approval by the US Food and Drug Administration (FDA) but failed to improve the primary endpoint in post-approval trials and to evaluate the extent to which negative post-approval trials changed the recommendations in treatment guidelines.

DESIGN

Retrospective observational study.

SETTING

FDA and National Comprehensive Cancer Network (NCCN) reports.

INCLUDED DRUGS

Cancer drugs that received accelerated approval from the FDA and had negative post-approval trials.

MAIN OUTCOME MEASURES

Regulatory outcomes, including withdrawal, conversion to regular approval, and no action.

RESULTS

18 indications for 10 cancer drugs that received accelerated approval but failed to improve the primary endpoint in post-approval trials were identified. Of these, 11 (61%) were voluntarily withdrawn by the manufacturer and one (bevacizumab for breast cancer) was revoked by the FDA. Of the 11 withdrawals, six occurred in 2021 alone. The remaining six (33%) indications remain on the label. The NCCN guidelines provide a high level of endorsement (category 1 endorsement for one and category 2A endorsement for seven) for accelerated approval drugs that have failed post-approval trials, sometimes even after the approval has been withdrawn or revoked.

CONCLUSION

Cancer drug indications that received accelerated approval often remained on formal FDA approved drug labelling and continued to be recommended in clinical guidelines several years after statutorily required post-approval trials showed no improvement in the primary efficacy endpoint. Clinical guidelines should better align with the results of post-approval trials of cancer drugs that received accelerated approval.

Association of Supporting Trial Evidence and Reimbursement for Off-Label Use of Cancer Drugs

IMPORTANCE

In many health systems, access to off-label drug use is controlled through reimbursement restrictions by health insurers, especially for expensive cancer drugs.

OBJECTIVE

To determine whether evidence from randomized clinical trials is associated with reimbursement decisions for requested off-label use of anticancer drugs in the Swiss health system.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used reimbursement requests from routinely collected health records of 5809 patients with drug treatment for cancer between January 2015 and July 2018 in 3 major cancer centers, covering cancer care of approximately 5% of the Swiss population, to identify off-label drug use. For each off-label use indication with 3 or more requests, randomized clinical trial evidence on treatment benefits was systematically identified for overall survival (OS) or progression-free survival (PFS). Data were analyzed from August 2018 to December 2020.

EXPOSURES

Available randomized clinical trial evidence on benefits for OS or PFS for requested off-label use indications.

MAIN OUTCOMES AND MEASURES

The main outcome was the association between evidence for treatment benefit (expressed as improved OS or PFS) and reimbursement in multivariable regression models.

RESULTS

Among 3046 patients with cancer, 695 off-label use reimbursement requests in 303 different indications were made for 598 patients (median [interquartile range] age, 64 [53-73] years; 420 [60%] men). Off-label use was intended as first-line treatment in 311 requests (45%). Reimbursement was accepted in 446 requests (64%). For 71 indications, including 431 requests for 376 patients, there were 3 or more requests. Of these, 246 requests (57%) had no supporting evidence for OS or PFS benefit. Reimbursement was granted in 162 of 246 requests without supporting evidence (66%). Of 117 requests supported by OS benefit, 79 (67%) were reimbursed, and of 68 requests supported by PFS benefit alone, 54 (79%) were reimbursed. Evidence of OS benefit from randomized clinical trials was not associated with a higher chance of reimbursement (odds ratio, 0.76, 95% CI, 0.45-1.27).

CONCLUSIONS AND RELEVANCE

These findings suggest that in a health care system enabling access to off-label use, it was frequently intended as a first-line treatment in cancer care. Availability of randomized clinical trial evidence showing survival benefit was not associated with reimbursement decisions for off-label anticancer drug treatment in Switzerland. A transparent process with criteria considering clinical evidence is needed for evidence-based reimbursement decisions to ensure fair access to cancer treatments.

Inclusion of Performance Parameters and Patient Context in the Clinical Practice Guidelines for Heart Failure

BACKGROUND

To facilitate evidence-based medicine (EBM) on an individual level, it may be important for clinical practice guidelines (CPGs) to incorporate the performance parameters of diagnostic studies and therapeutic interventions (such as likelihood ratio and absolute benefit or harm), and to incorporate relevant patient contexts that may influence decision-making. We sought to determine the extent to which heart failure CPGs currently incorporate this information.

METHODS

We reviewed the American College of Cardiology Foundation/American Heart Association (ACCF/AHA) 2013 Heart Failure CPG, the 2017 ACCF/AHA/HFSA update, and European Society of Cardiology (ESC) 2016 Heart Failure CPG. We abstracted variables for each CPG recommendation from the following domains: quality of evidence, strength of recommendation, diagnostic and therapeutic performance parameters, and patient context.

RESULTS

We examined 169 recommendations from the ACCF/AHA 2013 CPGs and 2017 update and 187 recommendations from the 2016 ESC CPGs. Performance parameters for diagnostic studies (2013 ACCF/AHA: 13%; 2017 ACCF/AHA/HFSA update: 0%; 2016 ESC: 0%) and therapeutic interventions (2013 ACCF/AHA: 65%; 2017 ACCF/AHA/HFSA update: 64%; 2016 ESC: 16%) were not commonly included in CPGs. Patient context was included in about half of ACCF/AHA recommendations and a quarter of ESC recommendations.

CONCLUSIONS

The majority of recommendations from heart failure CPGs lack information on diagnostic and therapeutic performance parameters and patient context. Given the importance of these components to effectively implement EBM, particularly for a heterogeneous heart failure population, innovative strategies are needed to optimize CPGs so they provide comprehensive yet succinct recommendations that can improve population-level outcomes and ensure optimal patient-centered care.

Status Update on Data Required to Build a Learning Health System

Wide adoption of electronic health records (EHRs) has raised the expectation that data obtained during routine clinical care, termed "real-world" data, will be accumulated across health care systems and analyzed on a large scale to produce improvements in patient outcomes and the use of health care resources. To facilitate a learning health system, EHRs must contain clinically meaningful structured data elements that can be readily exchanged, and the data must be of adequate quality to draw valid inferences. At the present time, the majority of EHR content is unstructured and locked into proprietary systems that pose significant challenges to conducting accurate analyses of many clinical outcomes. This article details the current state of data obtained at the point of care and describes the changes necessary to use the EHR to build a learning health system.

Development, Reporting, and Evaluation of Clinical Practice Guidelines

Clinical practice parameters have been published with greater frequency by professional societies and groups of experts. These publications run the gamut of practice standards, practice guidelines, consensus statements or practice advisories, position statements, and practice alerts. The definitions of these terms have been clarified in an accompanying article. In this article, we present the criteria for high-quality clinical practice parameters and outline a process for developing them, specifically the Delphi method, which is increasingly being used to build consensus among content experts and stakeholders. Several tools for grading the level of evidence and strength of recommendation are offered and compared. The speciousness of categorizing guidelines as evidence-based or consensus-based will be explained. We examine the recommended checklist for reporting and appraise the tools for evaluating a practice guideline. This article is geared toward developers and reviewers of clinical practice guidelines and consensus statements.

Estimation of Percentage of Patients With Fibroblast Growth Factor Receptor Alterations Eligible for Off-label Use of Erdafitinib

IMPORTANCE

When a novel drug is granted accelerated approval, both its on-label and off-label uses must be taken into account.

OBJECTIVES

To estimate the potential upper bound of off-label use of erdafitinib to treat advanced cancer with fibroblast growth factor receptor gene (FGFR) alterations, compare it to the upper bound of on-label use in urothelial cancer, and to review studies that may support off-label use.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used frequency data on FGFR alterations by cancer type and the estimated number of deaths from all cancers for 2019 in the United States. Mortality statistics were used as surrogates for patients with advanced cancer. Analysis was conducted in May 2019.

EXPOSURE

Percentage of patients with an FGFR2 or FGFR3 alteration.

MAIN OUTCOMES AND MEASURES

Estimated number of patients with advanced cancer expressing an FGFR2 or FGFR3 alteration eligible for off-label use of erdafitinib by cancer type; number of studies investigating FGFR-targeting drugs for patients with cancer; and number of ongoing clinical trials on erdafitinib by cancer type.

RESULTS

A total of 15 cancer types had reported FGFR alterations. Of 455 440 estimated patients who died of cancer in 2019, 17 019 (3.7%) were estimated to have FGFR2 or FGFR3 alterations. Of these patients, 12 955 (76.1%) could be eligible for off-label treatment with erdafitinib. A total of 29 completed studies evaluated FGFR-targeting drugs in 11 cancer types, and 10 ongoing studies are studying erdafitinib for different oncological indications.

CONCLUSIONS AND RELEVANCE

This study indicates that the potential for off-label use of FGFR inhibitors such as erdafitinib spans a number of cancer types and a large patient population. Systematic trials exploring off-label uses may be desirable for drugs that target clear, identifiable molecular alterations because this may be more efficient than off-label use in identifying clinical scenarios where the agent has activity.

Benefit, burden, and impact for a cohort of post-approval cancer combination trials

BACKGROUND

After approval, drug developers often pursue trials aimed at extending the uses of a new drug by combining it with other drugs. Little is known about the risk and benefits associated with such research.

METHODS

To establish a historic benchmark of risk and benefit, we searched Medline and Embase for clinical trials testing anti-cancer drugs in combination within 5 years of approval by the Food and Drug Administration of 12 anti-cancer "index" drugs first licensed 2005-2007 inclusive. Risk was assessed based on grade 3 or above drug-related adverse events; benefit was assessed based on efficacy outcomes and advancement of combinations into clinical practice guidelines or approval by the Food and Drug Administration.

RESULTS

We captured 323 published post-approval trials exploring combinations, including 266 unique combination-indication pairings and enrolling 29,835 patients. The pooled risk ratios for treatment-related grade 3-4 severe adverse events and deaths attributed to the study drugs for trials randomized between a combination arm and a comparator were 1.54 (1.33-1.79) and 1.51 (1.16-1.97), respectively. The pooled hazard ratios for overall survival and progression-free survival were 0.99 (0.92-1.05) and 0.85 (0.79-0.93), respectively. None of the combination-indication pairings launched after initial drug approval received approval by the Food and Drug Administration, and 13 pairings (4.9%) were recommended by the National Comprehensive Cancer Network within 5 years of the first trial within that pairing. The proportion of patients in our sample who participated in trials leading to an approval by the Food and Drug Administration or a National Comprehensive Cancer Network guideline recommendation was 12.7% with 5 years of follow-up, and 22.3% among pairings for which there were 8 years of follow-up.

CONCLUSION

Patients were just as likely to benefit in the treatment arm as the control arm in terms of overall survival, but they were more likely to experience a treatment-related severe adverse event in post-approval trials of combination therapy.

Level of evidence used in recommendations by the National Comprehensive Cancer Network (NCCN) guidelines beyond Food and Drug Administration approvals

BACKGROUND

A previous analysis of 113 National Comprehensive Cancer Network® (NCCN®) recommendations reported that NCCN frequently recommends beyond Food and Drug Administration (FDA)-approved indications (44 off-label recommendations) and claimed that the evidence for these recommendations was weak.

METHODS

In order to determine the strength of the evidence, we carried out an in-depth re-analysis of the 44 off-label recommendations listed in the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®).

RESULTS

Of the 44 off-label recommendations, 14 were later approved by the FDA and/or are supported by randomized controlled trial (RCT) data. In addition, 13 recommendations were either very minor extrapolations from the FDA label (n = 8) or were actually on-label (n = 5). Of the 17 remaining extrapolations, 8 were for mechanism-based agents applied in rare cancers or subsets with few available treatment options (median response rate = 43%), 7 were based on non-RCT data showing significant efficacy (>50% response rates), and 2 were later removed from the NCCN Guidelines because newer therapies with better activity and/or safety became available.

CONCLUSION

Off-label drug use is a frequent component of care for patients with cancer in the United States. Our findings indicate that when the NCCN recommends beyond the FDA-approved indications, the strength of the evidence supporting such recommendations is robust, with a significant subset of these drugs later becoming FDA approved or supported by RCT. Recommendations without RCT data are often for mechanism-based drugs with high response rates in rare cancers or subsets without effective therapies.

Estimation of the Percentage of US Patients With Cancer Who Benefit From Genome-Driven Oncology

Importance

To date, the benefit of genome-driven cancer therapy has not been quantified.

Objective

We sought to estimate the annual percentage of patients in the United States with advanced or metastatic cancer who could be eligible for and benefit from US Food and Drug Administration (FDA)-approved genome-driven therapy from 2006 to 2018.

Design, Setting, and Participants

Retrospective cross-sectional study using publically available data of (1) demographic characteristics of patients with advanced or metastatic cancer; (2) FDA data on cancer drugs approved from January 2006 through January 2018; (3) measures of response and duration of response from drug labels; and (4) published reports estimating the frequency of various genomic aberrations used to estimate what percentage of patients would have been eligible for and would have benefited from genome-driven therapy during the studied period.

Main Outcomes and Measures

Estimated percentage of US patients with cancer eligible for and benefiting from genome-targeted and genome-informed therapy by year, response rate of genome-informed indications, and duration of response.

Results

A total of 31 drugs with 38 FDA-approved indications met our inclusion criteria for genome-targeted or genome-informed therapy from January 1, 2006, through January 31, 2018. The estimated number of patients eligible for genome-targeted therapy in 2006 was 28 729 of a total 564 830 patients with metastatic cancer, or 5.09% (95% CI, 5.03%-5.14%). By 2018, this number had increased to 50 811 of 609 640, or 8.33% (95% CI, 8.26%-8.40%). For genome-informed therapy in 2006, the eligible number of patients was 59 301 of 564 830, or 10.50% (95% CI, 10.42%-10.58%). In 2018, genome-informed treatment could be offered to 94 157 of 609 640, or 15.44% (95% CI, 15.35%-15.53%) of patients with metastatic cancer. The percentage of patients with cancer estimated to benefit from genome-targeted therapy in 2006 was 0.70% (95% CI, 0.68%-0.72%), and in 2018, it had increased to 4.90% (95% CI, 4.85%-4.95%). For genome-informed treatment in 2006, the percentage estimated to benefit was 1.31% (95% CI, 1.28%-1.34%), and in 2018, it had increased to 6.62% (95% CI, 6.56%-6.68%). The median overall response rate for all genome-informed drugs through January 2018 was 54%, and the median duration of response was 29.5 months.

Conclusions and Relevance

Although the number of patients eligible for genome-driven treatment has increased over time, these drugs have helped a minority of patients with advanced cancer. To accelerate progress in precision oncology, novel trial designs of genomic therapies should be developed, and broad portfolios of drug development, including immunotherapeutic and cytotoxic approaches, should be pursued.

Association of National Cancer Institute-Sponsored Clinical Trial Network Group Studies With Guideline Care and New Drug Indications

Importance

National Cancer Institute Clinical Trial Network (NCTN) groups serve a vital role in identifying effective new antineoplastic regimens. However, the downstream clinical effect of their trials has not been systematically examined.

Objective

To examine the association of NCTN trials with guideline care and new drug indications.

Design, Setting, and Participants

This retrospective cohort study evaluated phase 3 SWOG Cancer Research Network clinical trials from January 1, 1980, through June 30, 2017. Only completed trials with published results were included. To be considered practice influential (PI), a trial must have been associated with guideline care through its inclusion in National Comprehensive Cancer Network (NCCN) clinical guidelines or US Food and Drug Administration (FDA) new drug approvals in favor of a recommended treatment. Data were analyzed from June 15, 2018, through March 29, 2019.

Main Outcomes and Measures

Estimated overall rate of PI trials, as well as trends over time. The total federal investment supporting the set of trials was also determined.

Results

In total, 182 trials consisting of 148 028 patients were studied. Eighty-two studies (45.1%; 95% CI, 37.7%-52.6%) were PI, of which 70 (38.5%) influenced NCCN guidelines, 6 (3.3%) influenced FDA new drug approvals, and 6 (3.3%) influenced both. The number of PI trials was 47 of 65 (72.3%) among those with positive findings and 35 of 117 (29.9%) among those with negative findings. Thus, 35 of 82 PI trials (42.7%) were based on studies with negative findings, with nearly half of these studies (17 of 35 [48.6%]) reaffirming standard of care compared with experimental therapy. The total federal investment spent in conducting the trials was $1.36 billion (2017 US dollars), a rate of $7.5 million per study or $16.6 million per PI trial.

Conclusions and Relevance

Nearly half of all phase 3 trials by one of the NCTN's largest groups were associated with guideline care or new drug indications, including those with positive and negative findings. Compared with the costs of a new drug approval in pharmaceutical companies, typically estimated at more than $1 billion, the amount of federal funds invested to provide this valuable evidence was modest. These results suggest that the NCTN program contributes clinically meaningful, cost-efficient evidence to guide patient care.

Adaptive, Iterative, Long-Term Personalized Therapy Management in a Case of Stage IV Refractory NSCLC

In this paper we report long-term therapy management based on iterative de novo molecular and cellular analysis in a case of metastatic non-small cell lung cancer (NSCLC), with prior history of treated colorectal cancer. In the described case temporal tumor evolution, emergent therapy resistance and disease recurrences were addressed via the administration of personalized label- and organ-agnostic treatments based on de novo tumor profiling. This adaptive and iterative treatment strategy countered disease progression at each instance and led to the durable regression of primary as well as metastatic lesions. Concurrently, serial evaluation of mutations in cell-free circulating tumor DNA (ctDNA) via liquid biopsy (LBx) was performed to monitor disease status, ascertain treatment response, identify emergent drug resistance and detect recurrence at sub-radiological levels. The treatment management strategy described herein effectively addressed multiple, sequential clinical conundrums for which viable options were unavailable under the current Standard of Care (SoC).

Cancer drug development: The missing links

IMPACT STATEMENT

The success rate for cancer drugs which enter into phase 1 clinical trials is utterly less. Why the vast majority of drugs fail is not understood but suggests that pre-clinical studies are not adequate for human diseases. In 1975, as per the Tufts Center for the Study of Drug Development, pharmaceutical industries expended 100 million dollars for research and development of the average FDA approved drug. By 2005, this figure had more than quadrupled, to $1.3 billion. In order to recover their high and risky investment cost, pharmaceutical companies charge more for their products. However, there exists no correlation between drug development cost and actual sale of the drug. This high drug development cost could be due to the reason that all patients might not respond to the drug. Hence, a given drug has to be tested in large number of patients to show drug benefits and obtain significant results.

Neuro-oncology perspective of treatment options in metastatic breast cancer

Breast cancer (BC) is a heterogeneous disease. Different subtypes of BC exhibit a peculiar natural history, metastatic potential and outcome. Stereotactic radiosurgery is the most used treatment for brain metastases (BM), while surgery is reserved for large and symptomatic lesions. Whole-brain radiotherapy is employed in multiple BM not amendable to radiosurgery or surgery, and it is not employed any more following local treatments of a limited number of BM. A critical issue is the distinction from pseudoprogression or radionecrosis, and tumor regrowth. Considering the increase of long-term survivors after combined or novel treatments for BM, cognitive dysfunctions following whole-brain radiotherapy represent an issue of utmost importance. Neuroprotective drugs and innovative radiotherapy techniques are being investigated to reduce this risk of cognitive sequelae. Leptomeningeal disease represents a devastating complication, either alone or in association to BM, thus targeted therapies are employed in HER2-positive BC brain and leptomeningeal metastases.