Clinical trial · Observational
TRAcking Non-small Cell Lung Cancer Evolution Through Therapy (Rx)
NCT01888601CI-TRIAL-00110294TRACERxactive not recruitingClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
To study the NSCLC evolutionary genomic landscape between primary and metastatic sites and the dynamics of intratumour heterogeneity over time combined with detailed clinical, histopathological and cancer phenotypic annotation for each patient, in order to significantly improve the outcomes of NSCLC patients (e.g. reduce their chance of recurrence and improve survival).
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Non-small Cell Lung Cancer | Lung Non-Small Cell Carcinoma | ALIAS | 0.90 |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (1)
- label
- NSCLC eligible for primary surgery
- description
- NSCLC eligible for primary surgery
Primary outcomes (1)
- measure
- Intratumour heterogeneity
- timeFrame
- Year 5
- description
- • Define the relationship between intratumour heterogeneity and clinical outcome following surgery and adjuvant therapy (including relationships between intratumour heterogeneity and clinical disease stage and histological subtypes of NSCLC).
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Written Informed consent * Patients ≥18 years of age, with early stage IIA-IIIB disease (according to TNM 8th edition) who are eligible for primary surgery. Patients with a radiological staging of IB (N0) who could be upstaged to IIA-IIIB following surgery (due to the presence of possible nodal involvement on the pre-operative scan) may also be included, but will be withdrawn if post-surgical staging remains IB. Histopathologically confirmed NSCLC, or a strong suspicion of cancer on lung imaging necessitating surgery (e.g. diagnosis determined from frozen section in theatre) * Primary surgery in keeping with NICE guidelines planned (see section 9.3) * Agreement to be followed up at a TRACERx site * Performance status 0 or 1 * Minimum tumour diameter at least 15mm to allow for sampling of at least two tumour regions (if 15mm, a high likelihood of nodal involvement on pre-operative imaging required to meet eligibility according to stage, i.e. T1N1-3) Exclusion Criteria: * Any other\* malignancy diagnosed or relapsed at any time, which is currently being treated (including by hormonal therapy). * Any other\* current malignancy or malignancy diagnosed or relapsed within the past 3 years\*\*. \*Exceptions are: non-melanomatous skin cancer, stage 0 melanoma in situ, and in situ cervical cancer \*\*An exception will be made for malignancies diagnosed or relapsed more than 2, but less than 3, years ago only if a pre-operative biopsy of the lung lesion has confirmed a diagnosis of NSCLC. * Psychological condition that would preclude informed consent * Treatment with neo-adjuvant therapy for current lung malignancy deemed necessary * Post-surgery staging is not IIA-IIIB * Known Human Immunodeficiency Virus (HIV), Hepatitis B Virus (HBV), Hepatitis C Virus (HCV) or syphilis infection. * Sufficient tissue, i.e. a minimum of two tumour regions, is unlikely to be obtained for the study based on pre-operative imaging
References
Publications (12)
- DERIVEDBernatz S, Prudente V, Pai S, Attermann AK, Di Federico A, Rowan A, Veeriah S, Dyrskjot L, Nurnberg L, Alessi JV, Ott PA, Sharon E, Hackshaw A, McGranahan N, Abbosh C, Mak RH, Bitterman D, Awad M, Ricciuti B, Swanton C, Jamal-Hanjani M, Birkbak NJ, Aerts HJWL. Thymic health and immunotherapy outcomes in patients with cancer. Nature. 2026 Apr;652(8111):995-1003. doi: 10.1038/s41586-026-10243-x. Epub 2026 Mar 18. PMID 41851467
- DERIVEDBlack JRM, Bartha G, Abbott CW, Boyle SM, Karasaki T, Li B, Chen R, Harris J, Veeriah S, Colopi M, Bakir MA, Liu WK, Lyle J, Navarro FCP, Northcott J, Pyke RM, Hill MS, Thol K, Huebner A, Bailey C, Colliver EC, Martinez-Ruiz C, Grigoriadis K, Pawlik P, Moore DA, Marinelli D, Shutkever OG, Murphy C, Sivakumar M; TRACERx consortium; Shaw JA, Hackshaw A, McGranahan N, Jamal-Hanjani M, Frankell AM, Chen RO, Swanton C. Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma. Nat Med. 2025 Jan;31(1):70-76. doi: 10.1038/s41591-024-03216-y. Epub 2025 Jan 13. PMID 39806071
- DERIVEDBiswas D, Liu YH, Herrero J, Wu Y, Moore DA, Karasaki T, Grigoriadis K, Lu WT, Veeriah S, Naceur-Lombardelli C, Magno N, Ward S, Frankell AM, Hill MS, Colliver E, de Carne Trecesson S, East P, Malhi A, Snell DM, O'Neill O, Leonce D, Mattsson J, Lindberg A, Micke P, Moldvay J, Megyesfalvi Z, Dome B, Fillinger J, Nicod J, Downward J, Szallasi Z; TRACERx Consortium; Hackshaw A, Jamal-Hanjani M, Kanu N, Birkbak NJ, Swanton C. Prospective validation of ORACLE, a clonal expression biomarker associated with survival of patients with lung adenocarcinoma. Nat Cancer. 2025 Jan;6(1):86-101. doi: 10.1038/s43018-024-00883-1. Epub 2025 Jan 9. PMID 39789179
- DERIVEDPan X, AbdulJabbar K, Coelho-Lima J, Grapa AI, Zhang H, Cheung AHK, Baena J, Karasaki T, Wilson CR, Sereno M, Veeriah S, Aitken SJ, Hackshaw A, Nicholson AG, Jamal-Hanjani M; TRACERx Consortium; Swanton C, Yuan Y, Le Quesne J, Moore DA. The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma. Nat Cancer. 2024 Feb;5(2):347-363. doi: 10.1038/s43018-023-00694-w. Epub 2024 Jan 10. PMID 38200244