| Literature DB >> 35978836 |
Yongfang Yao1,2,3, Rameesha Fareed4, Aliya Zafar4, Kalsoom Saleem4, Tao Huang5, Yongtao Duan1, Masood Ur Rehman4.
Abstract
Non-small cell lung cancer (NSCLC) is the most abundant type of epithelial lung cancer being diagnosed after 40% of invasions of excrescence in pulmonary tissues. According to WHO, 30% of NSCLC patients can be cured if diagnosed and treated early. Mutations play an important role in advanced stage NSCLC treatment, which includes critical proteins necessary for cellular growth and replication. Restricting such mutations may improve survival in lung cancer patients. Newer technologies include endoscopic bronchial ultrasonography and esophageal ultrasonography. Currently, policymaking or decision-making for treatment regimens merely depends on the genomic alterations and mutations. DNA sequencing, methylation, protein, and fragmented DNA analysis do NSCLC screening. Achievement of these goals requires consideration of available therapeutics in current anticancer approaches for improving quality of life and treatment outcomes for NSCLC patient. The specific goals of this review are to discuss first-line and second-line therapies for advanced-stage NSCLC and molecularly targeted therapy including thoughtful discussion on precise role of treatment strategies in specific tumors. Also, concerned diagnostics, new clinical trial designs, and pursuing appropriate combinations of radiotherapy and/or chemotherapy with biological therapy for exceptional cases considering resistance mechanisms and palliative care will be discussed.Entities:
Keywords: advanced stage; chemotherapy; immunotherapy; lung cancer; small cell lung cancer; targeted therapy
Year: 2022 PMID: 35978836 PMCID: PMC9376330 DOI: 10.3389/fonc.2022.958505
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Figure 1Classification of NSCLC (4).
Figure 2Treatment plan for NSCLC (13).
Figure 3Advanced strategies for treating cancer.
Chemotherapeutics agents in maintenance designed trials.
| Trial | Number randomized | First-line agents | Maintenance | Survival in months (Hazard ratio; P-value) |
|---|---|---|---|---|
| ( | 181 | MIC | Vinorelbin | 12.3vs.12,3 (HR=1.08;P=0.48) |
| ( | 206 | GC | Gemicitabine | OS13vs.11 (HR=n.r;P=0.195) |
| ( | 464 | GC | Gemicitabine | PFS 3.7vs.2.1 (HR=0.51;P<0.001) |
| ( | 255 | GCb | Gemicitabine | OS 8vs.9.3 (HR=0.97,P=0.84) |
| ( | 307 | GCb | Docetaxel | OS12.3 vs.9.7 (HR=n.r;P=0.0853) |
| ( | 663 | Cb/CG/Pac/D | Pemetrexed | OS13.4 vs.10.6 (HR=0.79; P=0.012) |
| ( | 539 | PemC | Pemetrexed | PFS3.9vs.2.6 (HR=0.64; P=0.002) |
FDA approved targeted agents for advanced NSCLC (1).
| Actionable mutation | FDA approved therapy (citation) | Clinical trial (phase) | Comparator | ORR (%) | mPFS (months) | mOS (months) | Adverse effects |
|---|---|---|---|---|---|---|---|
| KRAS | Sotorasib | CodeBreaK 100 (I) | No | 32% | 6.3 | 12.5 | Diarrhea, nausea, elevated LFT’s, fatigue |
| EGFR | Erlotinib | EURTAC (III) | Chemotherapy | 64% | 9.7 | 22.9 | Fatigue, rash, diarrhea |
| Gefitinib | NEJ002 (III) | Carboplatin/Paclitaxel | 74% | 10.8 | 27.2 | Rash, diarrhea | |
| Afatinib | LUX-Lung 3 (III) | Cis/Pemetrexed | 56% | 11.1 | 28.2 | Rash, diarrhea, paronychia | |
| Dacomitnib | ARCHER 1050 (III) | Gefitinib | 75% | 14.7 | 34.1 | Diarrhea, paronychia, rash | |
| Osimertinib | FLAURA (III) | Erlotinib/Gefitinib | 80% | 18.9 | 38.6 | Rash, diarrhea, pneumonitis | |
| ALK | Crizotinib | PROFILE 1014 (III) | Platinum/Pemetrexed | 74% | 10.9 | NR | Vision disorder, diarrhea, edema |
| Certinib | ASCEND-4 (III) | Platinum/Pemetrexed | 73% | 16.6 | 51.3 | Diarrhea, nausea, vomiting | |
| Alectinib | ALEXALEX (III) | Crizotinib | 83% | 25.7 | Immature | Elevated LFT’s, CPK elevation, anemia | |
| Brigatinib | ALTA 1L (III) | Crizotinib | 74% | 24 | 47.6 | Elevated CPK and LFT’s | |
| Ensartinibǂ | eXALT-3 (III) | Crizotinib | 75% | 25.8 | Immature | Rash, pruritis, edema | |
| Lorlatinib | B7461006 (III) | Crizotinib | 76% | NR | Immature | Hyperlipidemia, edema, increased weight | |
| MET Exon 14 skipping mutation | Capmatinib | GEOMETRY-mono-1 (II) | No | 41% (68%) * | 5.4 (12.4)* | NA/NA | Peripheral edema, nausea |
| Tepotinib | VISION (II) | No | 46% | 8.5 | Immature | Peripheral edema | |
| MET amplification | Capmatinib | GEOMETRY-mono-1 (II) | No | 29% (40%)* | 4.1 (4.2)* | NA/NA | Peripheral edema, nausea |
| BRAF mutations | Dabrafenib + Trametinib | BRF113928 (II) | No | 64% (68%)* | 10.8 | 17.3 | Pyrexia, LFT elevation, HTN |
| (10.2)* | (18.2)* | ||||||
| RET | Selparcatinib | LIBRETTO-001 (II) | No | 64% (85%) * | 16.5 (NR) | NR/NR | Dry mouth, diarrhea, HTN |
| Pralsetinib | ARROW (II) | No | 61% | 16.5 ( | NA/NA | LFT elevation, anemia | |
| (70%)* | |||||||
| ROS1 | Crizotinib | PROFILE 1001 (I) | No | 72.40% | 19.3 | 51.4 | Vision disorder, nausea, edema |
| Certinib | NCT01964157(II) | No | 62% (67%)* | 9.3 (19.3)* | 24 | Diarrhea, nausea, anorexia | |
| Lorlatinib | NCT01970865 (I-II) | No | 41% (62%)* | 8.5 | NA | Dyslipidemia | |
| ( | |||||||
| Entrectinib | STARTRK-1, STARTRK-2, ALKA-372–001 | No | 77% | 19 | NR | Weight gain, neutropenia | |
| (I-II) | |||||||
| NTRK | Larotrectinib | LOXO-TRK-14001 (I-II) | No | 70% | NA | NA | LFT elevation, neutropenia, anemia |
| Entrectinib | ALKA, STARTRK-1, STARTRK-2 (I-II) | No | 70% | NA | NA | Dysgeusia, constipation, fatigue | |
| HER2 | T-DM1ǂ | NCT02675829 (II) | No | 44% | 5 | NA | Infusion reactions, thrombocytopenia |
| T-DXdǂ | DESTINY-Lung01 (II) | No | 62% | 14 | NA | Neutropenia, anemia, ILD |
*Indicates data for treatment naïve patient.
Effects of first-line and second-line treatments in NSCLC (67).
| Overall Population | EGFR mutation | KRAS mutation | BRAF mutation | HER2 mutation | PIK3CA mutation | ALK rearrangement | Full WT | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| (n = 17664) | (n = 1,787) | (n = 4,588) | (n = 230) | (n = 92) | (n = 157) | (n = 340) | (n = 2,769) | |||||||
| All | Adapted$ | All | Adapted$ | All | Adapted$ | All | Adapted$ | All | Adapted$ | All | Adapted$ | All | ||
| First-line Treatment | ||||||||||||||
| Number with data % | 8,448 (48%) | 1,128 (63%) | 662 (37%) | 2,085 (45%) | 979 (21%) | 146 (64%) | 64 (28%) | 62 (67%) | 28 (30%) | 73 (47%) | 29 (19%) | 236 (69%) | 120 (35%) | 1,214 (44%) |
| Pemetrexed-based regimen | 2,747 (33%) | 188 (17%) | 57 (9%) | 792 (38%) | 525 (54%) | 51 (35%) | 34 (53%) | 31 (50%) | 18 (64%) | 17 (23%) | 11 (38%) | 111 (47%) | 55 (46%) | 401 (33%) |
| Vinorelbine-based regimen | 504 (6%) | 39 (3%) | 9 (1%) | 128 (6%) | 68 (7%) | 5 (4%) | 2 (3%) | 0 | 0 | 7 (10%) | 3 (10%) | 13 (6%) | 9 (8%) | 80 (7%) |
| Taxane-based regimen | 1,064 (13%) | 60 (5%) | 18 (3%) | 261 (13%) | 166 (17%) | 20 (14%) | 12 (19%) | 8 (13%) | 4 (14%) | 11 (15%) | 7 (24%) | 17 (7%) | 11 (9%) | 188 (16%) |
| EGFR-TKI | 684 (8%) | 543 (48%) | 520 (79%) | 26 (1%) | 9 (1%)* | 3 (2%)* | 2 (3%)* | 0 | 0 | 1 (1%)* | 1 (3%)* | 4 (2%)* | 2 (12%)* | 17 (1%) |
| Crizotinib | 18 (<1%) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 (8%) | 18 (15%) | 0 |
| Trial£ | 253 (3%) | 36 (3%) | 31 (5%) | 63 (3%) | 48 (5%) | 8 (6%) | 5 (8%) | 3 (5%) | 1 (4%) | 0 | 0 | 16 (7%) | 12 (10%) | 36 (3%) |
| Other§ | 709 (8%) | 27 (2%) | 9 (1%) | 171 (8%) | 77 (8%) | 11 (8%) | 3 (5%) | 5 (8%) | 3 (11%) | 10 (14%) | 5 (17%) | 6 (3%) | 3 (4%) | 131 (11%) |
| BSC only | 2,469 (29%) | 235 (21%) | 18 (3%) | 644 (31%) | 86 (9%) | 48 (33%) | 6 (9%) | 15 (24%) | 2 (7%) | 27 (37%) | 2 (7%) | 51 (22%) | 10 (8%) | 361 (30%) |
| Second-line Treatment | ||||||||||||||
| Number with data % | 5,518 (31%) | 698 (39%) | 381 (21%) | 1,358 (30%) | 566 (12%) | 106 (46%) | 37 (16%) | 43 (47%) | 22 (24%) | 48 (34%) | 12 (8%) | 157 (46%) | 102 (30%) | 797 (29%) |
| Taxane | 782 (14%) | 46 (7%) | 34 (9%) | 236 (17%) | 203 (36%) | 16 (15%) | 8 (22%) | 6 (14%) | 4 (18%) | 5 (10%) | 2 (17%) | 5 (3%) | 4 (4%) | 119 (15%) |
| Pemetrexed | 612 (11%) | 125 (18%) | 97 (26%) | 136 (10%) | 105 (19%) | 8 (8%) | 6 (16%) | 5 (12%) | 4 (18%) | 4 (8%) | 2 (17%) | 13 (8%) | 10 (10%) | 81 (10%) |
| Erlotinib | 776 (14%) | 231 (33%) | 218 (57%) | 125 (9%) | 94 (17%) | 9 (9%) | 4 (11%) | 5 (12%) | 4 (18%) | 2 (4%) | 2 (17%) | 10 (6%) | 6 (6%) | 96 (12%) |
| Crizotinib | 73 (1%) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73 (46%) | 73 (72%) | 0 |
| Trial£ | 116 (2%) | 8 (1%) | 7 (2%) | 33 (2%) | 27 (5%) | 5 (5%) | 5 (14%) | 3 (7%) | 2 (9%) | 2 (4%) | 1 (8%) | 4 (3%) | 4 (4%) | 25 (3%) |
| Other§ | 442 (8%) | 10 (1%) | 6 (2%) | 90 (7%) | 60 (11%) | 8 (8%) | 7 (19%) | 8 (18%) | 8 (36%) | 2 (4%) | 2 (17%) | 5 (3%) | 3 (3%) | 79 (10%) |
| BSC only | 2,711 (49%) | 272 (39%) | 15 (4%) | 738 (54%) | 77 (14%) | 60 (57%) | 7 (19%) | 16 (37%) | 0 | 33 (69%) | 3 (25%) | 47 (30%) | 2 (2%) | 397 (50%) |
*: Patients with tumors exhibited two molecular alterations including EGFR mutation. $: Selection of treatment based on the molecular analyses. £: Based on targeted therapy.
§: Including, but not limited to, another type of chemotherapy.
Figure 4Signaling pathways (4).
Figure 5Necitumumab for the treatment of advanced (47).
Figure 6Treatment and resistance (52).
Figure 7Stages of resistance development and therapeutic strategies.
Figure 8Systemic therapy uses in patients with advanced NSCLC (59, 60).