| Literature DB >> 32717895 |
Volker Schirrmacher1, Tobias Sprenger1, Wilfried Stuecker1, Stefaan W Van Gool1.
Abstract
At times of personalized and individualized medicine the concept of randomized- controlled clinical trials (RCTs) is being questioned. This review article explains principles of evidence-based medicine in oncology and shows an example of how evidence can be generated independently from RCTs. Personalized medicine involves molecular analysis of tumor properties and targeted therapy with small molecule inhibitors. Individualized medicine involves the whole patient (tumor and host) in the context of immunotherapy. The example is called Individualized Multimodal Immunotherapy (IMI). It is based on the individuality of immunological tumor-host interactions and on the concept of immunogenic tumor cell death (ICD) induced by an oncolytic virus. The evidence is generated by systematic data collection and analysis. The outcome is then shared with the scientific and medical community. The priority of big pharma studies is commercial benefit. Methods used to achieve this are described and have damaged the image of RCT studies in general. A critical discussion is recommended between all partners of the medical health system with regard to the conduct of RCTs by big pharma companies. Several clinics and institutions in Europe try to become more independent from pharma industry and to develop their own modern cancer therapeutics. Medical associations should include references to such studies from personalized and individualized medicine in their guidelines.Entities:
Keywords: adverse events; cancer immunology; conflict of interest; dendritic cell; evidence-based medicine; immunotherapy; oncolytic virus; randomized-controlled trial
Year: 2020 PMID: 32717895 PMCID: PMC7460025 DOI: 10.3390/biomedicines8080237
Source DB: PubMed Journal: Biomedicines ISSN: 2227-9059
Individualized Multimodal Immunotherapy (IMI).
| Feature | Example IOZK | Reference | ||
|---|---|---|---|---|
| Concept | Modality 1 | Active-specific immunization | IO-VACR (vaccine) | [ |
| Modality 2 | Treatment with oncolytic virus | NDV 1 | [ | |
| Modality 3 | Combination with mEHT 2 | EHY-2000 | [ | |
| Side effects | low | WHO Grade | <2 | [ |
| Innovation | In situ induction of ICD 3 | Potential to break therapy resistance | [ | |
| Single cases | Breast cancer | Prostate carcinoma | [ | |
| Case series | GBM 4 adults | DIPG 5 children | [ | |
1 NDV = Newcastle disease virus; 2 mEHT = moderate electrohyperthermia; 3 ICD = Immunogenic cell death; 4 GBM = Glioblastoma multiforme; 5 DIPG = Diffuse intrinsic pontine glioma.
Figure 1Cartoon of the three phases of Individualized Multimodal Immunotherapy (IMI) (1–3.) and of respective tumor–host interactions (A–D). 1–3: 1. The pre-treatment phase involves 5 sessions of moderate electrohyperthermia (mEHT) and Newcastle disease virus (NDV) treatment within the first week. This leads to ICD and to release of extracellular vesicles (EV) which initiate anti-tumor immune responses. 2. Active-specific immunization at day 8 with IO-VACR represents the second phase of treatment. It involves intradermal application of fully matured tumor-associated antigen (TAA) presenting DCs. 3. In the immune effector phase, about 1 to 5 days after vaccination, the activated cancer-reactive T cells leave the lymph node, migrate to the tumor and attack tumor cells by TAA-specific cytotoxic T lymphocytes (CTLs). This causes their destruction as visualized by the blebs. (A–D): (A) illustrates immunogenic cell death with the release of viral oncolysate (VOL) from tumor cells treated by mEHT and NDV. (B) shows the process of loading dendritic cells ex vivo with TAAs and DC maturation via growth factors, cytokines and interferons to produce the vaccine IO-VACR. (C) illustrates DC migration to local lymph nodes and their cognate interaction with TAA-specific CD4 Th1 cells and CD8 CTLs. (D) shows migration of activated T lymphocytes out of the lymph node and trafficking via the blood towards the site of the tumor. For abbreviations see alphabetic list at the end. The figure was designed by Riegel and Reichenthaler.
Comparison between randomized-controlled trials (RCT) and Individualized Multimodal Immunotherapy (IMI).
| Feature | RCT 1 for Drug Approval | IMI 2 |
|---|---|---|
| 1. GMP 3 quality standard | Yes | Yes |
| 2. Production rate of drug | High | Low |
| 3. Number of patients per trial | >1000 | <50 |
| 4. Individual patient benefit | Low | High |
| No benefit in control arm | Same chance for every patient | |
| 5. LOE 4 | 1 | 5 |
| 6. Number of variables included | Only few possible | Many possible |
| 7. Risk of resistance development | High | Low |
| 8. Flexibility: Adaptations to state of the art | Not possible after approval | Possible |
| 9. Methodological innovation | Low | High |
| 10. Costs | Very high (>20 million $) | Comparatively low |
| 11. Price per drug | Very high | Comparatively low |
| 12. Primary aim | Commercial (Drug approval) | Patient benefit |
| 13. Conflict of interest | High | Low |
1 RCT = Randomized controlled trial; 2 IMI = Individualized multimodal immunotherapy; 3 GMP = Good manufacturing practice; 4 LOE = Level of evidence.
Randomized-controlled clinical trials (RCTs) for drug approval and commercial benefit.
| Feature | Results | Conclusion | Comment | Reference |
|---|---|---|---|---|
| 1. Fragility index 1 | <50% of RCTs with clinically relevant benefit 2 | Low (<2) | [ | |
| 2. Survival (OS 3) | 84% of RCTs investigated surrogate parameters 4 | Most drugs had no benefit in OS | [ | |
| 3. Quality of Life | No benefit 4 | [ | ||
| 4. Toxicity | High risk of associated toxicities | [ | ||
| 5. NNT 5 | A relatively high number of patients to be treated to avoid one additional event | [ | ||
| 6. Bias | 87% of authors received payment from industry | About 50% of approved studies were classified as highly biased 4 | [ | |
| 7. Oncology guidelines | 72%of recommendations based on weak evidence | Dominated by a few key opinion leaders with conflict of interest | Often used as reference for reimbursement | [ |
1 Fragility index = a statistical measure to evaluate the reliability of study results. A factor of 1 means that study results are fragile and not reliable; 2 = Evaluation of new cancer drugs approved by the FDA (2014–2018); 3 OS = Overall Survival; 4 = Evaluation of new cancer drugs approved by the EMA (2009–2013); 5 NNT = Number to treat.