| Literature DB >> 29455666 |
Marta Román1,2, Iosune Baraibar1,2, Inés López2, Ernest Nadal3, Christian Rolfo4, Silvestre Vicent2,5,6, Ignacio Gil-Bazo7,8,9,10.
Abstract
Lung neoplasms are the leading cause of death by cancer worldwide. Non-small cell lung cancer (NSCLC) constitutes more than 80% of all lung malignancies and the majority of patients present advanced disease at onset. However, in the last decade, multiple oncogenic driver alterations have been discovered and each of them represents a potential therapeutic target. Although KRAS mutations are the most frequently oncogene aberrations in lung adenocarcinoma patients, effective therapies targeting KRAS have yet to be developed. Moreover, the role of KRAS oncogene in NSCLC remains unclear and its predictive and prognostic impact remains controversial. The study of the underlying biology of KRAS in NSCLC patients could help to determine potential candidates to evaluate novel targeted agents and combinations that may allow a tailored treatment for these patients. The aim of this review is to update the current knowledge about KRAS-mutated lung adenocarcinoma, including a historical overview, the biology of the molecular pathways involved, the clinical relevance of KRAS mutations as a prognostic and predictive marker and the potential therapeutic approaches for a personalized treatment of KRAS-mutated NSCLC patients.Entities:
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Year: 2018 PMID: 29455666 PMCID: PMC5817724 DOI: 10.1186/s12943-018-0789-x
Source DB: PubMed Journal: Mol Cancer ISSN: 1476-4598 Impact factor: 41.444
Fig. 1RAS downstream signaling pathways and potential options for therapeutic intervention in lung adenocarcinoma
KRAS status as a prognostic marker in lung cancer
| Reference | Type of study | Patients tested for KRAS | Patients by KRAS status | Results (KRAS-mut vs KRAS-wt) | |
|---|---|---|---|---|---|
| KRAS-mut | KRAS-wt | ||||
| Mascaux et al., 2005 [ | Pooled analysis | 3620 (stage I-IV) | 652 | 2968 | HR for OS 1.35 (1.16–1.56), |
| Sheperd et al., 2013 [ | Pooled analysis | 1543 (stage I-III) | 300 | 1246 | HR for OS 1.17, 95% CI 0.96 to 1.42, |
| Zer et al., 2016 [ | Pooled analysis | 577 (stage IIIB-IV) | 120 | 457 | HR for OS 1.09, 95% CI 0.85–1.41, |
| Pan et al., 2016 [ | Pooled analysis | 13,103 (stage I-IV) | 2374 | 10,729 | HR for OS 1.56, 95% CI 1.39–1.76, |
| Svaton et al., 2016 [ | Individual study | 129 (stage IIIB-IV) | 39 | 90 | OS: 16.1 months for wt-KRAS and 7.2 for mut-KRAS |
| PFS: 2.3 for wt-KRAS and 1.6 for mut-KRAS | |||||
| Fan et al., 2017 [ | Pooled analysis | 658 (advanced NSCLC) | 93 | 565 | HR for PFS 1.83, 95% CI 1.40–2.40, |
| 693 (advanced NSCLC) | 106 | 587 | HR for OS 2.07, 95% CI 1.54–2.78, p < 0.0001 | ||
KRAS status as a predictive marker in lung cancer
| Reference | Patients tested for KRAS | Patients by KRAS status | Treatment arm | Endpoint | KRAS-mut | KRAS-wt | |
|---|---|---|---|---|---|---|---|
| KRAS-mut | KRAS-wt | ||||||
| Rodenhius et al., 1997 [ | 62 (stage III-IV) | 16 | 46 | Carboplatin + ifosfamide + etoposide | ORR (%) | 19 | 26 |
| PFS (months) | 4 | 5 | |||||
| OS (months) | 8 | 9 | |||||
| Schiller et al., 2001 [ | 184 (stage II-IIIA) | 44 | 140 | Cisplatin + etoposide | OS (months) | 24.7 | 42 |
| Eberhard et al., 2005 [ | 133 (advanced stage) | 25 | 108 | Carboplatin + paclitaxel + erlotinib | ORR (%) | 23 | 26 |
| PFS (months) | 6.0 | 5.4 | |||||
| OS (months) | 13.5 | 11.3 | |||||
| Tsao et al., 2007 [ | 210 (stage Ib-II) | 46 | 164 | Vinorelbine + cisplatin | OS (months) | 6.4 | NR |
| Mao et al., 2010 [ | 1470 (stage NS) | 231 | 1239 | EGFR TKI | ORR (%) | 3 | 26 |
| Khambata-Ford et al., 2010 [ | 202 (stage IIIB, IV) | 35 | 167 | Taxane + carboplatin + cetuximab | ORR (%) | 30.8 | 32.9 |
| PFS (months) | 5.6 | 5.1 | |||||
| OS (months) | 16.8 | 9.7 | |||||
| O’Byrne KJ et al., 2011 [ | 395 (stage IIIB, IV) | 75 | 320 | Cisplatin + vinorelbine + cetuximab | ORR (%) | 36.8 | 37.3 |
| PFS (months) | 5.4 | 4.4 | |||||
| OS (months) | 8.9 | 11.4 | |||||
| Ludovini V et al., 2011 [ | 166 (stage III, IV) | 11 | 151 | EGFR TKI | ORR (%) | 0 | 35.7 |
| PFS (months) | 2.7 | 5.6 | |||||
| OS (months) | 19.3 | 28.6 | |||||
| Metro et al., 2012 [ | 67 (stage IIIB-IV) | 18 | 49 | EGFR TKI (gefitinib or erlotinib) | PFS (months) | 1.6 | 3.0 |
| OS (months) | 6.0 | 21.0 | |||||
| Fiala O et al., 2013 [ | 448 (stage IIIB, IV) | 138 (G12C mutation: 38) | 410 | EGFR TKI | PFS (weeks) | 4.3 (G12C) vs 9.0 (non-G12C) | |
| OS (weeks) | 12.1 (G12C) vs 9.3 (non-G12C) | ||||||
| Zer et al., 2016 [ | 785 (stage IIIB-IV) | 155 | 630 | EGFR TKI (pooled analysis) | OS (months) | 4.5 | 6.0 |
| Hames ML et al., 2016 [ | 150 (stage IV) | 80 | 70 | Conventional chemotherapy | PFS (months) | 4.5 | 5.7 |
| OS (months) | 8.8 | 13.5 | |||||
| Dong ZY et al., 2017 [ | 34 (not specified) | 8 | 26 | Pembrolizumab | ORR (%) | 25 | 6.6 |
| 20 (not specified) | 5 | 15 | Pembrolizumab or nivolumab | PFS (months) | 14.7 | 3.5 | |
Clinical trials investigated in non-small cell lung cancer targeting KRAS pathway
| Target | Drug/drug combination | Date | Phase | Patients | Line | KRAS status | Primary endpoint | RR, % | PFS (months) | OS (months) | NCT |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Farnesyl transferase | Tipifarnib [ | 2003 | II | 44 | 1 | Unknown | ORR | 0 | 2.7 | 7.7 | NCT00005989 |
| Farnesyl transferase | CI-1040 [ | 2004 | I | 67 | ≥1 | Unknown | ORR | 0 | 4.4 | NA | NCT00033384 |
| C-Raf | PD-0325901 [ | 2010 | II | 34 | ≥1 | Unknown | ORR | 0 | 1.8 | 7.8 | NCT00174369 |
| C-Raf | Selumetinib/pemetrexed [ | 2010 | II | 84 | 2 or 3 | Unknown | Disease progression event | 5 vs 4 | 2.2 vs 3 | NA | NCT00372788 |
| Mek | Salirasib [ | 2011 | II | 33 | All lines | Mut | Rate of nonprogression at 10 weeks | 0 | TTP: 2 (1st line), 1 (2nd line) | Not reached (1st line), 15 (2nd line) | NCT00531401 |
| Mek | Tivantinib + erlotinib/placebo + erlotinib [ | 2011 | II | 167 | > 1 | Mut, wt, unknown | PFS | 10 vs 7 | 3.8 vs 2.3 | 8.5 vs 6.9 | NCT00777309 |
| Mek | RO5126766 [ | 2012 | I | 52 | All lines | Unknown | Safety | 6.6 | NA | NA | NCT00777309 |
| Mek | Cobimetinib + pictilisib [ | 2012 | Ib | 78 | NS | Unknown | Safety | 14 | NA | NA | NCT00996892 |
| Mek | Ridaforolimus [ | 2012 | II | 79 | > 1 | Mut | PFS | 1 | 4 | 18 | NCT00818675 |
| Mek | Tivantinib + erlotinib/placebo + erlotinib [ | 2012 | III | 1048 | 2 or 3 | Mut, wt, unknown | OS | NS | 3.6 vs 1.9 | 8.5 vs 7.8 | NCT01244191 |
| Mek | RO5126766 [ | 2013 | I | 12 | > 1 | Unknown | Safety | 0 | NA | NA | – |
| Mek | Trametinib + docetaxel [ | 2013 | I/Ib | 46 | > 1 | Mut, wt | Safety | 17 (KRAS-mut: 17) | NA | NA | NCT01192165 |
| Proteasome | Trametinib + pemetrexed [ | 2013 | I/Ib | 42 | > 1 | Mut, wt | Safety | 14.3 (KRAS-mut: 15) | NA | NA | NCT01192165 |
| Mek | Trametinib + gemcitabine (2014) | 2013 | Ib | 31 | All lines | Unknown | Safety | 30 | NA | NA | NCT01428427 |
| Met | Pimasertib + voxtalisib [ | 2013 | Ib | 53 | NS | NS | Safety | 7 | NA | NA | NCT01390818 |
| Mek | Sorafenib [ | 2013 | II | 59 | > 1 | Mut | DCR at 6 weeks | 10.5 | 2.3 | 5.3 | NCT00064350 |
| Mek | Selumetinib + docetaxel/placebo + docetaxel [ | 2013 | II | 87 | 2 | Mut | OS | 37 vs 0 | 5.3 vs 2.1 | 9.4 vs 5.2 | NCT00890825 |
| Met | Onartuzumab + erlotinib/placebo + erlotinib [ | 2013 | II | 137 | ≥2 | Mut, wt, unknown | PFS | 5.8 vs 4.4 | 2.2 vs 2.6 | 8.9 vs 7.4 (KRAS-mut: 10.4 vs 7.7) | NCT00854308 |
| Met | Ganetespib [ | 2013 | II | 99 | > 1 | Mut, wt | PFS at 16 weeks | KRAS-mut: 0 | KRAS-mut: 1.9 | KRAS-mut: 11 | NCT01031225 |
| mTOR | Copanlisib + refametinib [ | 2014 | Ib | 49 | NS | Mut, wt, unknown | Safety | 2.2 | NA | NA | NCT01392521 |
| Mek, PI3k | Alpelisib + binimetinib [ | 2014 | Ib | 58 | NS | Mut | Safety | 8.6 | NA | NA | NCT01449058 |
| Mek, PI3k | Trametinib/docetaxel [ | 2015 | II | 129 | 2 | Mut | PFS | 12 vs 12 | 3 vs 2.75 | 2 vs NR | NCT01362296 |
| Mek, PI3k | Bortezomib [ | 2015 | II | 16 | ≥2 | Mut | ORR | 6.6 | 1 | 13 | NCT01833143 |
| Fak | Defactinib [ | 2015 | II | 55 | ≥2 | Mut | PFS at 12 weeks | 1.8 | NA | NA | NCT01951690 |
| Hsp90 | Ganetespib + docetaxel/Docetaxel [ | 2015 | II | 385 | 2 | Mut, wt | PFS | NA | KRAS-mut: 3.9 vs 3.0 | KRAS-mut: 7.6 vs 6.4 | NCT01348126 |
| Mek, PI3k, mTOR | Sorafenib/placebo [ | 2015 | III | 706 | 3 or 4 | Mut, wt | OS | 4.9 vs 0.9 (KRAS-mut: 2.9 vs 0) | 2.8 vs 1.4 (KRAS-mut: 2.6 vs 1.7) | 8.2 vs 8.3 (KRAS-mut: 6.4 vs 5.1) | NCT00863746 |
| Mek | Selumentinib + erlotinib/placebo + erlotinib [ | 2016 | II | 89 | 2 or 3 | Mut, wt | PFS, ORR | 10 vs 0 (mut) | 2.3 vs 4 (mut) | 21.8 vs 10.5 (mut) | NCT01229150 |
| Host immunity | Paclitaxel + carboplatin + reolysin [ | 2016 | II | 37 | ≥1 | Mut, wt | ORR | 31 | 12 | 4 | NCT 00861627 |
| Hsp90 | Selumetinib + docetaxel/placebo + docetaxel [ | 2017 | III | 505 | 2 | Mut | PFS | 20.1 vs 13.7 | 3.9 vs 2.8 | 8.7 vs 7.9 | NCT01933932 |