Analysis of Variables Predicting Pathological Complete Response and Immune Related Adverse Events in Patients With Resectable Non-Small Cell Lung Cancer Receiving Neoadjuvant Immunotherapy With Chemotherapy - A Prospective Cohort Study
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 60
- 试验地点
- 1
- 主要终点
- Predictive power of various parameters to predict pCR and IrAE's
研究概览
简要总结
Lung cancer is the chief cause of cancer death. The new standard-of-care (SOC) in operable lung cancer combines chemotherapy and an immune-stimulating drug before the surgery (neoadjuvant approach). This results in a large increase in complete cancer clearance rates compared to chemotherapy alone (±30% with combination vs ±4% with chemotherapy alone), leading to much better long-term survival and probably many more cures. However, most still don't achieve complete clearance, and a few have increases in, or spread of, their tumors while on treatment. Therefore, we need to understand why some patients benefit (responders) and others don't benefit (non-responders) on an immunotherapy-based treatment. Also, some patients unpredictably develop severe immune-type side effects related to the immunotherapy drug, although such side effects may be associated with improved anti-cancer effects. In short, the same treatment can result in complete cancer clearance in one patient, and in a worst-case scenario may result in severe toxicity or fail to control spread/growth thus precluding surgery. The immune system obviously plays a key role in both benefit and harm, yet most of the research in this field has focused only on the cancer. We plan an in-depth study in 60 patients, focusing on the cancer as well as the patient's immune system, pre-surgery. This will enable us to identify factors predicting complete cancer clearance, and the occurrence of immune-type side effects. Using highly sophisticated resources available to us here in London, we will develop predictive models enabling better patient management (including possible avoidance of surgery), and identification of key biological differences between major responders and non-responders, to highlight important new targets for the development of even newer and better therapies.
详细描述
RATIONALE: For patients (pts) with stage I-IIIA NSCLC, surgical resection is the SOC. Adjuvant chemotherapy (chemo) offers modest survival benefit and there remains equipoise in the relative value of adjuvant vs neo-adjuvant chemo. Recently, Health Canada approved neo-adjuvant immunotherapy (nivolumab) with platinum-based chemo (chemo/nivo) in pts with resectable (IB-IIIA) non-small cell lung cancer (NSCLC), based on a prospective trial (CM816), showing better event-free (EFS) and overall survival (OS), and pathological complete responses (pCR), making this approach as the new SoC. pCR rates in CM816 were 24% neoadjuvant nivo/chemo compared to 2.2% neoadjuvant chemo alone. In these trials, OS benefit was especially seen in pts with tumors expressing programmed death-ligand 1 (PD-L1) and those with pCR.
We propose a prospective single cohort study to analyze the predictors of pCR in a similar-sized cohort of our pts on the same neo-adjuvant chemo/nivo but employing a range of parameters that are both broader and, in some cases, more sophisticated. We intend to make use of parameters that reflect both the tumor itself as well as the integrity of immune system of the host, obviously a critical determinant of immune-mediated efficacy, yet strangely neglected in the literature. We will then seek to develop an initial predictive model for pCR with a good sensitivity/specificity, as a prelude to refining/testing the model in future work, with a much larger sample.
Noting that immune-related adverse events (IrAE's) are strongly associated with efficacy with immunotherapy, we will not only be including the emergence of early on-treatment IrAE's in our pCR modeling, but also develop an additional model as a subsidiary aim to predict IrAE's themselves. Note the incidence of ≥ grade3 AE's was 33.5% in CM816, and there is currently no available way to predict their occurrence. This is not to suggest such a model, if successful, should be used to deny such pts immune checkpoint inhibitors, but it would allow a more informed consent process, as well as more intensive pro-active monitoring to avoid the worst outcomes of serious IrAE's (which are occasionally fatal) by early intervention.
Major Aim: Development of a model predicting pCR after neo-adjuvant chemo/nivo in pts with resectable NSCLC.
Hypothesis: That an initial model, combining predictive variables from baseline tumor characteristics, baseline factors likely to be associated with host immunity, as well as treatment-emergent events, in pts with resectable NSCLC on neoadjuvant chemo/nivo, can predict a pCR with an area under the Receiver Operator Characteristic (ROC) curve of at least 0.8.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Participants with histologically confirmed Stage IB (≥ 4 cm), II, IIIA (N2) NSCLC (as per the 8th American Joint Committee on Cancer (AJCC)) who are considered to have resectable disease.
- •Measurable disease according to Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST 1.1).
- •Participants must have tumor tissue available for PD-L1 immunohistochemical (IHC) testing.
- •Eastern Cooperative Group (ECOG) Performance Status 0-
- •Able to give informed consent.
排除标准
- •Presence of locally advanced, unresectable, or metastatic disease.
- •Participants with known EGFR mutations, ALK or ROS1 translocation.
- •Subjects with active, known, or suspected autoimmune disease (except subjects with type I diabetes mellitus, residual hypothyroidism due to autoimmune thyroiditis only requiring hormone replacement, skin disorders (such as vitiligo, psoriasis, or alopecia) not requiring systemic treatment).
- •Subjects with a condition requiring systemic treatment with either corticosteroids (10 mg daily prednisone or equivalent) or other immunosuppressive medications within 14 days of study drug administration. Inhaled or topical steroids are permitted in the absence of active autoimmune disease.
- •Subjects with previous malignancies are excluded unless a complete remission was achieved at least 5 years prior to study entry and no additional therapy is required or anticipated to be required during the study (non-melanoma skin cancer and other indolent malignancies not requiring any treatment and that are unlikely to affect blood-based biomarkers are allowed).
结局指标
主要结局
Predictive power of various parameters to predict pCR and IrAE's
时间窗: 18 months
To determine the predictive power (sensitivity, specificity, receiver operator characteristic (ROC) curves) of a model, combining predictive variables, in predicting pCR.
时间窗: 18 months
To determine whether a similar model can be constructed to predict irAEs.
时间窗: 18 months
次要结局
未报告次要终点