| Literature DB >> 32728532 |
George Bingham1, Alysha Shetye2, Reena Suresh1, Reza Mirnezami3.
Abstract
BACKGROUND: Colorectal cancer (CRC) is the third most common cause of cancer-related death worldwide. Despite significant advances in screening, surgical management and adjuvant therapies, average 5-year survival seldom exceeds 60% in most developed nations. Metastatic disease represents the primary cause of mortality in patients with CRC, and the liver is the most common location for distant tumour spread. Up to 25% of patients are found to have synchronous liver metastases at the time of diagnosis and a further 30%-40% will develop metachronous disease in the course of follow-up. It has been suggested that primary tumour location [right side versus left side, primary tumour location (PTL)] can influence oncological outcomes in this patient group and that this should be considered in prognostic models and therapeutic decision-making algorithms. This suggestion is not universally accepted and there have been conflicting reports in the literature to date. AIM: To provide a comprehensive summary of the available evidence regarding the impact of PTL on oncological outcomes in patients with colorectal cancer liver metastases (CRCLM).Entities:
Keywords: Colorectal cancer; Liver metastasis; Location; Outcome; Primary tumour
Year: 2020 PMID: 32728532 PMCID: PMC7360521 DOI: 10.5306/wjco.v11.i5.294
Source DB: PubMed Journal: World J Clin Oncol ISSN: 2218-4333
Figure 1Preferred Reporting Items for Systematic Reviews and Meta-Analyses diagram summarising study selection process.
Summary of characteristics of included studies
| Zhou et al[ | 2017 | China | 295 | 24 | 89 | 94 | 112 | 57 | 59 | 61 |
| Zhang et al[ | 2017 | China | 194 | 12 | 144 | 50 | 60 | 55.5 | ||
| Makowiec et al[ | 2018 | Germany | 221 | 158 | 63 | 64 | 65 | |||
| Chafai et al[ | 2005 | Australia | 398 | 26.8 | 277 | 71 | ||||
| Rougier et al[ | 1995 | France | 537 | 197 | 117 | 223 | ||||
| Wang et al[ | 2018 | China | 420 | 26 | 334 | 86 | 57 | 58.5 | ||
| Gu et al[ | 2018 | China | 102 | 51 | 51 | 63 | 61.5 | |||
| Gasser et al[ | 2019 | Austria | 259 | 38.1 | 200 | 59 | 64 | 66 | ||
| de Haas et al[ | 2010 | France | 750 | 39 | 413 | 154 | 200 | |||
| Marques et al[ | 2018 | Brazil | 151 | 42 | 124 | 27 | 57 | 61 | ||
| Russolillo et al[ | 2019 | Italy | 686 | 81 | 364 | 322 | 63 | 66 | ||
| Umeda et al[ | 2013 | Japan | 100 | 36 | 40 | 23 | 37 | |||
| Zheng et al[ | 2018 | China | 318 | 233 | 85 | |||||
| Mavros et al[ | 2013 | United States | 97 | 26.4 | 44 | 24 | 27 | |||
| Viganò et al[ | 2014 | Italy | 749 | 51.4 | 63 | 87 | 48 | |||
| Connor et al[ | 2016 | Canada | 63 | 31.5 | 27 | 10 | 21 | |||
| Eefsen et al[ | 2015 | Denmark | 254 | 44.6 | 125 | 51 | 78 | |||
| Schirripa et al[ | 2015 | Italy | 309 | 45.6 | 138 | 87 | 82 | |||
| Loosen et al[ | 2018 | Germany | 125 | 102 | 23 | |||||
| Amikura et al[ | 2018 | Japan | 342 | 52.7 | 236 | 106 | ||||
| Yamashita et al[ | 2018 | United States | 725 | 27/41 | 487 | 238 | 56 | 58 | ||
| Dulundu et al[ | 2017 | Turkey | 108 | 40 | 24 | 44 | 58.5 | 63.2 | 63.8 | |
| Creasy et al[ | 2016 | United States | 907 | 132 | 578 | 329 | 62.4 | 65.4 | ||
| Sasaki et al[ | 2016 | United States | 426 | 28.9 | 297 | 129 | ||||
| Palkovics et al[ | 2018 | Hungary | 319 | 114 | 72 | 133 | ||||
| Dupré et al[ | 2018 | United Kingdom | 364 | 41.8 | 290 | 74 | 65.1 | 68.6 | ||
| Heise et al[ | 2017 | Germany | 160 | 21 | 113 | 47 | ||||
| Shigematsu et al[ | 2018 | Japan | 396 | 36.4 | 155 | 93 | 148 | |||
| Rhu et al[ | 2017 | South Korea | 410 | 30.5 | 289 | 121 | 58.41 | 59.56 | ||
| Lionti et al[ | 2018 | Italy | 63 | 40 | 22 | 23 | 18 | |||
| Wang et al[ | 2017 | China | 159 | 130 | 29 | |||||
| Norén et al[ | 2015 | Sweden | 3125 | 1109 | 1092 | 924 | ||||
| Berardi et al[ | 2018 | Belgium | 62 | 24 | 11 | 4 | 47 | |||
| Cremolini et al[ | 2018 | Italy | 159 | 42.1 | 40 | 64 | 52 | |||
| McCracken et al[ | 2019 | United States | 612 | 388 | 226 | 55 | 62 | |||
| McVey et al[ | 2019 | United States | 732 | 26.8 | 397 | 336 | 59 | 62 | ||
| Imai et al[ | 2019 | Japan | 163 | 38.8 | 127 | 36 | ||||
| Koch et al[ | 2018 | Germany | 30 | 24 | 5 | 1 | ||||
| Liao et al[ | 2018 | Taiwan | 1442 | 58. | 888 | 554 | 62.4 | 64.6 | ||
| Adam et al[ | 2011 | France | 186 | 37 | 106 | 35 | 41 | |||
| Wang et al[ | 2019 | China | 1508 | 557 | 593 | 358 | ||||
De Haas et al[24]: Transverse colon grouped with left rather than right sided primaries; Yamashita et al[26]: Data for study and validation sets respectively, midgut vs hindgut not left vs right. L: Left; R: Right.
Overall survival data
| Zhou et al[ | 2017 | 35 | 33 | 32 | 27.5 | 23.1 | 23 | 0.85 | 1 | 1.02 | |||
| Zhang et al[ | 2017 | 22 | 12 | 0.012 | |||||||||
| 14 | 10 | ||||||||||||
| Makowiec et al[ | 2018 | 41 | 46 | ||||||||||
| Chafai et al[ | 2005 | 22.5 | 9.9 | < 0.001 | 1 | 1.68 | < 0.001 | ||||||
| Rougier et al[ | 1995 | 8.2 | 4.5 | 7.6 | < 0.001 | ||||||||
| 6.8 | 3.8 | 6.6 | < 0.001 | ||||||||||
| Wang et al[ | 2018 | 38.3 | 46.5 | 1 | 1.08 | ||||||||
| Gu et al[ | 2018 | 40.3 | 29.4 | 0.042 | 1 | 6.2 | < 0.001 | ||||||
| Gasser et al[ | 2019 | 55.5 | 33.5 | 58.2 | 1 | 1.53 | 0.029 | ||||||
| de Haas et al[ | 2010 | 54 | 36 | 48 | 0.001 | 1 | 1.5 | ||||||
| Marques et al[ | 2018 | 1 | 2.1 | ||||||||||
| Russolillo et al[ | 2019 | 63.3 | 35.7 | 0.002 | 0.82 | 1 | < 0.001 | ||||||
| Umeda et al[ | 2013 | 1.24 | 1 | 1.62 | |||||||||
| Zheng et al[ | 2018 | 29.5 | 21.9 | < 0.001 | 0.5 | 1 | < 0.001 | ||||||
| Mavros et al[ | 2013 | 1 | 1.09 | ||||||||||
| Viganò et al[ | 2014 | 41.3 | 58.3 | 47.4 | 43.1 | 44.7 | 41.3 | ||||||
| Connor et al[ | 2016 | 1 | 2.4 | 0.0321 | |||||||||
| Eefsen et al[ | 2015 | 0.63 | 1 | 0.57 | 0.045 | ||||||||
| Schirripa et al[ | 2015 | 57.3 | 35.5 | 61.1 | 0.017 | 1 | 1.59 | 0.95 | 0.017 | ||||
| Loosen et al[ | 2018 | 1 | 2.32 | ||||||||||
| Amikura et al[ | 2018 | 56.1 | 48.4 | 1 | 1.287 | ||||||||
| Yamashita et al[ | 2018 | 52 | 32 | < 0.0001 | 1 | 2.04 | < 0.0001 | ||||||
| 78 | 55 | 0.003 | 1 | 1.9 | 0.0009 | ||||||||
| Dulundu et al[ | 2017 | 30.43 | 46.38 | 40.86 | 52.5 | 54.1 | 59 | ||||||
| Creasy et al[ | 2016 | 62.4 | 43.2 | 50.4 | 38.5 | 0.028 | 1 | 1.22 | 0.028 | ||||
| Sasaki et al[ | 2016 | 55.3 | 44.1 | 0.033 | 53.7 | 41.5 | 0.76 | 1 | 0.033 | ||||
| Palkovics et al[ | 2018 | 39 | 36 | 40 | |||||||||
| Dupré et al[ | 2018 | 45.3 | 34.6 | 0.035 | 37.5 | 25.4 | 0.010 | 1 | 1.429 | 0.036 | |||
| Shigematsu et al[ | 2018 | 0.67 | 1 | 0.63 | |||||||||
| Rhu et al[ | 2017 | 0.862 | 1 | ||||||||||
| Wang et al[ | 2017 | 0.75 | 1 | ||||||||||
| Norén et al[ | 2015 | 61 | 57 | 48 | 0.02 | 45.8 | 44.5 | 42.6 | 0.02 | 0.75 | 1 | 0.73 | < 0.001 |
| Cremolini et al[ | 2018 | 0.96 | 1 | ||||||||||
| McCracken et al[ | 2019 | 75.6 | 54 | < 0.001 | 1 | 1.6 | 0.001 | ||||||
| McVey et al[ | 2019 | 43 | 44.2 | 1.108 | 1 | ||||||||
| 79.4 | 64.6 | 0.037 | 0.629 | 0.788 | 0.024 | ||||||||
| Imai et al[ | 2019 | 55.5 | 52.3 | 1 | 3.44 | 0.021 | |||||||
| Koch et al[ | 2018 | 0.66 | 1 | ||||||||||
| Liao et al[ | 2018 | 75.2 | 61.7 | 0.005 | |||||||||
| Adam et al[ | 2011 | 31 | 0 | 36 | 0.003 | 1 | 2.2 | 0.003 | |||||
| Wang et al[ | 2019 | 40.1 | 24.6 | < 0.001 | 1 | 1.75 | < 0.001 | ||||||
Zhang et al[30]: Top group: Overall population, bottom row: Patients who did not receive chemotherapy; Rougier et al[15]: Resection subgroup data presented in row above non-resection subgroup data; Yamashita et al[26]: Data for study set displayed above data for validation set; McVey et al[49]: R1 Resection data displayed over R0 Resection data. OS: Overall Survival.
P < 0.05. L: Left; R: Right.
Disease free survival data
| Wang et al[ | 2018 | 22.4 | 29.1 | ||||||||||
| Gasser et al[ | 2019 | 12.6 | 9.1 | 9.6 | |||||||||
| Marques et al[ | 2018 | 1 | 1.1 | ||||||||||
| Russolillo et al[ | 2019 | 32.7 | 20.8 | 0.002 | |||||||||
| Connor et al[ | 1 | 1.6 | |||||||||||
| Eefsen et al[ | 0.60 | 1 | 0.92 | ||||||||||
| Schirripa et al[ | 2015 | 12.0 | 10.7 | 12.6 | 1 | 1.23 | 1.04 | ||||||
| Amikura et al[ | 2018 | 35.4 | 32.3 | 1.09 | 1 | ||||||||
| Yamashita et al[ | 2018 | 27 | 15 | 0.001 | 1 | 1.71 | < 0.0001 | ||||||
| 41 | 21 | 0.001 | 1 | 1.48 | < 0.0001 | ||||||||
| Creasy et al[ | 2016 | 37 | 29 | 1.14 | |||||||||
| Sasaki et al[ | 2016 | 20.2 | 28 | 0.001 | |||||||||
| Heise et al[ | 2017 | 0.19 | 1 | 0.001 | |||||||||
| Shigematsu et al[ | 2018 | 0.85 | 1 | 0.97 | |||||||||
| Wang et al[ | 2017 | 1.36 | 1 | ||||||||||
| Berardi et al[ | 2018 | 1.06 | 1 | 1.63 | |||||||||
| Cremolini et al[ | 2018 | 0.81 | 1 | ||||||||||
| Imai et al[ | 2019 | 22.9 | 21.3 | ||||||||||
| Liao et al[ | 2018 | 70.9 | 66.5 | 0.033 | |||||||||
Yamashita et al[26]: Data for study set above data for validation set, midgut vs hindgut, not left vs right; Imai et al[35]: 5 Year DFS% not 3-year disease free survival.
P < 0.05. DFS: Disease free survival; L: Left; R: Right; HR: Hazard ratio.
Progression free survival data
| Zhou et al[ | 2017 | 12.5 | 7.1 | 11.5 | 0.012 | 0.67 | 1 | 0.85 | 0.012 | ||||
| de Haas et al[ | 2010 | 18 | 16 | 7 | 0.009 | ||||||||
| Zheng et al[ | 2018 | 9.2 | 7.3 | 0.002 | 0.75 | 1 | 0.002 | ||||||
| Lionti et al[ | 2018 | 0.5 | 1 | 1 | |||||||||
| Liao et al[ | 2018 | 70.9 | 66.5 | 0.033 | |||||||||
P < 0.05. PFS: Progression free survival; L: Left; R: Right; HR: Hazard ratio.