| Literature DB >> 34068813 |
Claudia Pérez-Carretero1,2,3, Isabel González-Gascón-Y-Marín4, Ana E Rodríguez-Vicente1,2,3, Miguel Quijada-Álamo1,2,3, José-Ángel Hernández-Rivas4,5, María Hernández-Sánchez1,2,3, Jesús María Hernández-Rivas1,2,3,6.
Abstract
The knowledge of chronic lymphocytic leukemia (CLL) has progressively deepened during the last forty years. Research activities and clinical studies have been remarkably fruitful in novel findings elucidating multiple aspects of the pathogenesis of the disease, improving CLL diagnosis, prognosis and treatment. Whereas the diagnostic criteria for CLL have not substantially changed over time, prognostication has experienced an expansion with the identification of new biological and genetic biomarkers. Thanks to next-generation sequencing (NGS), an unprecedented number of gene mutations were identified with potential prognostic and predictive value in the 2010s, although significant work on their validation is still required before they can be used in a routine clinical setting. In terms of treatment, there has been an impressive explosion of new approaches based on targeted therapies for CLL patients during the last decade. In this current chemotherapy-free era, BCR and BCL2 inhibitors have changed the management of CLL patients and clearly improved their prognosis and quality of life. In this review, we provide an overview of these novel advances, as well as point out questions that should be further addressed to continue improving the outcomes of patients.Entities:
Keywords: chronic lymphocytic leukemia (CLL); diagnosis; evolution; prognosis; state-of-the-art; treatment
Year: 2021 PMID: 34068813 PMCID: PMC8151186 DOI: 10.3390/diagnostics11050853
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418
Clinical significance of the main prognostic markers in CLL.
| Biomarkers | Clinical Significance in Prognosis |
|---|---|
| Rai/Binet advance stage | Associated with unfavorable disease course. Not enough to predict disease progression. |
| β2M high (>3.5 mg/L) | Predicts worse outcome and short-term remission after fludarabine-based CIT. Included in different risk scoring systems. |
| CD49d expression | Predicts shorter survival and remains valid for predicting treatment-free survival after ibrutinib treatment 1. |
| Associated with a shorter time to first treatment and poorer response to CIT. Its assessment is highly recommended in pre-treatment evaluation and only once since its status remains stable during disease course. | |
| Del(11q)/ | Associated with a shorter time to first treatment but better response to BTK inhibitors in the presence of del(11q) 1. |
| Del(17p)/ | Confers resistance to CIT and predicts rapid disease progression. Its assessment is mandatory in pre-treatment evaluation. |
| Complex karyotype | Predicts unfavorable outcome after CIT independently of |
| Refines cytogenetic-risk stratification and is associated with worse outcome and poor response to rituximab treatment 1. | |
| Refines cytogenetic-risk stratification and has been associated with poor prognostis 1. | |
| Confers resistance to BTK inhibitors. | |
| Confers resistance to venetoclax. | |
| MRD positive | Predicts shorter progression free-survival for CIT. Remains valid for venetoclax-based regimens 1. |
1 Not yet established prospectively. CIT: chemoimmunotherapy.
Figure 1Prognostic models of CLL, including classic and genetic prognostic markers.
Efficacy and safety of the most relevant new oral targeted therapy phase 3 trials.
| Drug | Line | Trial | Treatment (N) | ORR | PFS | OS | AE ≥ G3 | Follow Up | References |
|---|---|---|---|---|---|---|---|---|---|
| Ibru | 1 | Resonate-2 | Ibru (136) | 92% | NR | NR | Neutropenia (13%), pneumonia (12%), major hemorrhage (11%), hypertension (8%), anemia (7%), atrial fibrillation (5%), diarrhea (4%) | 57 m | [ |
| Chl (133) | 37% | 15 m | NR | ||||||
| R/R | Resonate | Ibru (195) | 91% | 44.1 m | 67.7 | Neutropenia (25%), pneumonia (21%), hypertension (9%), major hemorrhage (10%) anemia (9%), atrial fibrillation (6%), diarrhea (7%) | 65 m | [ | |
| Ofatumumab (196) | 24% | 8.1 m | 65.1 | ||||||
| Acala | 1 | Elevate-TN | Acala-Obi (179) | 94% | NR | NR | Neutropenia (30%), pneumonia (6%), anemia (6%), atrial fibrillation (4%), diarrhea (4%), hypertension (3%), major hemorrhage (2%), infusion reaction (2.2%) | 28 m | [ |
| Acala (179) | 86% | NR | NR | Neutropenia (9%), anemia (7%), atrial fibrillation (3%), pneumonia (2%), hypertension (2%), major hemorrhage (2%), diarrhea (1%) | |||||
| Chl-Obi (177) | 79% | 22.6 m | NR | Neutropenia (41.4%), thrombocytopenia (11.8%), anemia (7.1%), infusion reaction (5.6%), pneumonia (1.8%) | |||||
| R/R | ASCEND | Acala (155) | 81% | NR | NR | Neutropenia (15%), anemia (11%), pneumonia (5%), atrial fibrillation (5%), hypertension (2%), diarrhea (1%), major hemorrhage (1%) | 16.1 m | [ | |
| I.C.: Idela-R (119) | 75% | 15.8 m | NR | Neutropenia (39%), diarrhea (24%), pneumonia (8%), anemia (7%) | |||||
| I.C.: BR (36) | 16.9 m | NR | Neutropenia (31%), anemia (9%) pneumonia (3%) | ||||||
| Ven | 1 | CLL-14 | Ven-Obi (216) | 85% | NR | NR | Neutropenia (53%), infusion reaction (9%), thrombocytopenia (9%), anemia (9%), pneumonia (7%), tumor lysis syndrome (2%) | 39.6 m | [ |
| Chl-Obi (216) | 71% | 35.6 m | NR | Neutropenia (46%), thrombocytopenia (15%), infusion reaction (11%), anemia (7%), pneumonia (5%), tumor lysis syndrome (3%) | |||||
| R/R | Murano | Ven-R (195) | 92.3% | 53.6 m | 83.5% 1 | Neutropenia (57.5%), infections (17.5%), anemia (10.8%), pneumonia (5.2%), tumor lysis syndrome (3.1%) | 59.2 m | [ | |
| BR (194) | 72.3% | 17 m | 66.8% 1 | Neutropenia (38.8%), infections (21.8%), anemia (13.8%), pneumonia (8%) |
1 Four-year PFS and OS; N: number; ORR: overall response rate; PFS: progression-free survival; OS: overall survival; AE: adverse event; G3: grade 3; R/R: relapsed or refractory; 1: first-line; NR not reached; m: months; Ibru: ibrutinib; Chl: chlorambucil; Acala: acalabrutinib; Obi: Obinutuzumab; Ofatu: Ofatumumab; Idela: idelalisib; Ven: venetoclax; R: rituximab; I.C.: investigator criteria; B: bendamustine.
Trials using new combinations of novel agents with anti-CD20, chemoimmunotherapy and between them for CLL.
| Therapeutic Approach | Treatment | Phase | N R/R | N TN | Duration of Treatment | Response Rate | % uMRD (BM) | References |
|---|---|---|---|---|---|---|---|---|
| TA + anti CD20 | Ibru-R | II | 208 | 27 | Indefinite | 92.3% | BM, 24 m: 19.8% | [ |
| Ibru | 92.3% | BM, 24 m: 12.2% | ||||||
| Ibru-O (benda) | II | 30 | 31 | Possible if MRD-neg | 100% | PB, 12 m: 48% | [ | |
| Acala-O | Ib/II | 26 | 19 | Indefinite | 92% (R/R) 95% (TN) | 12 m: 15% (R/R), 26% (TN) | [ | |
| Ven-R | III | 389 | 24 months | 92.3% | PB, 24 m: 62.4% | [ | ||
| Benda-R | 72.3% | PB, 24 m: 13.3% | ||||||
| Ven-O | III | 432 | 12 cycles | 85% | BM, 12 m: 57% | [ | ||
| Chl-O | 71% | BM, 12 m: 17% | ||||||
| TA + CIT | FCR-ibru | II | 85 | Possible if MRD-neg | 96% | BM, 24 m: 78% | [ | |
| FCO-ibru | II | 45 | Possible if MRD-neg | 73% | BM, 12 m: 100% | [ | ||
| FCR-duvelisib | Ib/II | 32 | 24 months | 88% | BM, 66% at best response | [ | ||
| TA + TA | Ibru-ven | II | 53 | Possible if MRD-neg | 89% | BM, 12 Mm 36% | [ | |
| Ibru-ven | II | 80 | Possible if MRD-neg | 88% | BM, 12 m: 61% | [ | ||
| Ibru-ven-O | Ib | 25 | 25 | 14 cycles | 88% (R/R) 84% TN | BM and PB, 7 m: 70% | [ |
TA: targeted agent; R/R: relapsed/refractory; TN: treatment-naïve; uMRD: undetectable minimal residual disease; BM: bone marrow; m: months; Ibru: ibrutinib; R: rituximab; O: Obinutuzumab; Acala: acalabrutinib; Benda: bendamustine; Ven: venetoclax; Chl: chlorambucil FCR: fludarabine, cyclophosphamide and rituximab; FCO: fludarabine, cyclophosphamide and Obinutuzumab; neg: negative; PB: peripheral blood.
Figure 2First-line treatment algorithm for CLL patients.
Figure 3Treatment algorithm for relapsed or refractory CLL patients. CIT: chemoimmunotherapy; BTKi: Bruton tyrosine kinase inhibitor; R: rituximab; allo-TPH: allogeneic stem cell transplantation; BCL-2i: BLC2 inhibitor.
Acquired mutations observed in patients that become resistant to ibrutinib and venetoclax.
| Ibrutinib | Venetoclax | ||
|---|---|---|---|
| Mutation Type |
|
|
|
| Prevalence in relapsed patients | 57% | 13% | 47% |
| Mechanism | Loss of covalent binding of ibrutinib to BTK | Activating BCR signaling independent of BTK | Disruption of the bond of venetoclax to BCL-2 |
| Variants | |||
| More frequent | C481S | Different subclones coexist with low allelic burden | G101V (subclonal) |
| Others | C481R, C281F, C481Y, R28S, G164D, T316A, T474I/S, R490H, Q516K, L528W, V537I | F82S, P664S, R665W, S707Y, S707P, S707F, L845F, L845V, L845G, L848R, D993Y, D993H, D1140N, M1141K, M1141R, S1192G | D103Y, A103T, A103G, A103V, A113G, A129L, V156A |
| Median time since drug exposure | 34.3 months (14–76.8) | 35.1 months (17.4–64.6) | 36 months (6.5–73) |
BTK: Bruton tyrosine kinase; PLCG2: phospholypaseCɣ-2; BCR: B-cell receptor.
Figure 4Resistance mechanisms to ibrutinib treatment in chronic lymphocytic leukemia.