Literature DB >> 23511557

KRAS-mutation status in relation to colorectal cancer survival: the joint impact of correlated tumour markers.

A I Phipps1, D D Buchanan, K W Makar, A K Win, J A Baron, N M Lindor, J D Potter, P A Newcomb.   

Abstract

BACKGROUND: Mutations in the Kirsten Ras (KRAS) oncogene are common in colorectal cancer (CRC). The role of KRAS-mutation status as a prognostic factor, however, is unclear. We evaluated the relationship between KRAS-mutation status and CRC survival, considering heterogeneity in this association by tumour and patient characteristics.
METHODS: The population-based study included individuals diagnosed with CRC between 1998-2007 in Western Washington State. Tumour specimens were tested for KRAS exon 2 mutations, the BRAF p.V600E mutation, and microsatellite instability (MSI). We used Cox regression to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the association between KRAS-mutation status and disease-specific and overall survival. Stratified analyses were conducted by age, sex, tumour site, stage, and MSI. We conducted additional analyses combining KRAS-mutation, BRAF-mutation, and MSI status.
RESULTS: Among 1989 cases, 31% had KRAS-mutated CRC. Kirsten Ras (KRAS)-mutated CRC was associated with poorer disease-specific survival (HR=1.37, 95% CI: 1.13-1.66). This association was not evident in cases who presented with distant-stage CRC. Cases with KRAS-wild-type/BRAF-wild-type/MSI-high CRC had the most favourable prognosis; those with CRC exhibiting a KRAS- or BRAF-mutation and no MSI had the poorest prognosis. Patterns were similar for overall survival.
CONCLUSION: Kirsten Ras (KRAS)-mutated CRC was associated with statistically significantly poorer survival after diagnosis than KRAS-wild-type CRC.

Entities:  

Mesh:

Year:  2013        PMID: 23511557      PMCID: PMC3668469          DOI: 10.1038/bjc.2013.118

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


The Kirsten Ras (KRAS) proto-oncogene encodes for a guanosine triphosphate (GTP)/guanosine diphosphate binding protein downstream of the epidermal growth factor receptor (EGFR) in the RAS/RAF/MAPK pathway. Mutations in KRAS are evident in 30–40% of colorectal tumours (Andreyev ; Samowitz ; Gnanasampanthan ; Wang ; Lee ; De Roock , 2010b; Nash ; Roth ; Hutchins ; Imamura ; Inoue ). Based on evidence that the benefits of adjuvant treatment with anti-EGFR chemotherapy for distant-stage metastatic colorectal cancer (CRC) are limited to patients with KRAS-wild-type disease (Lin ; Bokemeyer ), testing for KRAS mutations is increasingly common in clinical practice in order to better direct treatment of CRC (Allegra ). Although the role of KRAS-mutation status as a predictive biomarker for response to anti-EGFR-targeted therapy is well supported, the role of KRAS as a prognostic biomarker for CRC survival, independent of anti-EGFR therapy, is less clear. A number of previous studies have evaluated the relationship between KRAS-mutation status and survival after CRC diagnosis (Andreyev ; Samowitz ; Andreyev ; Gnanasampanthan ; Wang ; Lee ; Ogino ; Nash ; Roth ; De Roock ; Hutchins ; Imamura ). In the largest study to date, Andreyev reported that the presence of a somatic KRAS mutation was associated with statistically significantly poorer disease-free and overall survival after CRC diagnosis, but only among patients with Dukes' C CRC and only among those with the KRAS p.G12V mutation (Andreyev ). This latter finding was supported by results from a recent study in which KRAS codon 12 mutations, particularly the p.G12V mutation, but not KRAS codon 13 mutations were associated with poorer survival (Imamura ). Thus, observed inconsistencies in the literature regarding the association between KRAS-mutation status and CRC survival may be related to differences in the distribution of specific KRAS mutations, stage at diagnosis, or other characteristics. Correlations between KRAS-mutation status and other tumour characteristics of prognostic relevance may further complicate the study of this marker in relation to prognosis. In particular, KRAS-mutated CRC is less likely to exhibit microsatellite instability (MSI) than KRAS-wild-type CRCs (Ogino ; Nash ; Roth ; Hutchins ; Imamura ) and is almost never BRAF-mutated (Lee ; De Roock ; Hutchins ; Imamura ). The presence of high MSI (MSI-H) is associated with a more favourable prognosis (Guastadisegni ), whereas BRAF-mutated CRC has a poorer prognosis than BRAF-wild-type disease (Ogino ; Roth ; De Roock ). Failure to account for these attributes of KRAS-mutated CRC could thus obscure an association between KRAS-mutation status and CRC survival. To better understand the relationship between KRAS-mutation status and survival after CRC diagnosis, we used data from two concurrent population-based studies of incident invasive CRC conducted in Western Washington State.

Materials and Methods

Study population

Details of the population-based study samples have been published elsewhere (Newcomb , 2007b). Briefly, eligible participants included men and women diagnosed with invasive CRC between January 1998 and June 2002 who, at the time of diagnosis, were aged 20–74 years and resided in King, Pierce, or Snohomish counties in Western Washington State. Women who resided in 10 additional Washington counties and were diagnosed during the same time period at ages 50–74 years were also eligible. During a second phase of study recruitment, we identified eligible participants as men and women with invasive CRC in this 13-county ascertainment area who were diagnosed at ages 18–49 years between April 2002 and July 2007. All cases were identified through the Surveillance, Epidemiology, and End Results (SEER) cancer registry serving Western Washington State. Study eligibility was limited to English speakers with a publicly available telephone number. Of 3585 individuals contacted and identified as eligible, 463 (13%) were deceased, 351 (10%) refused participation, 128 (4%) could not be reached, and 24 (0.7%) completed only a partial interview. In total, 76% of eligible cases were enrolled in the study (N=2708). At an average of 8.6 months after diagnosis, participants completed a structured telephone interview in which they were asked to provide detailed information on a number of potential risk factors, including smoking history, body mass index (BMI), family history of CRC, and use of selected medications. At the conclusion of the interview, participants were asked for consent to access diagnostic tumour specimens. Adequate tumour specimens were obtained for 78% of enrolled participants (N=2120). This study was approved by the Institutional Review Board of the Fred Hutchinson Cancer Research Center in accordance with assurances filed with and approved by the US Department of Health and Human Services.

KRAS-mutation testing and additional tumour characterisation

DNA was extracted from paraffin-embedded formalin-fixed tumour tissue. In cases for whom tumour DNA was successfully extracted (N=1989), the coding sequence of KRAS exon 2 was amplified (Oliner ). Mutations in exon 2 were identified via forward and reverse sequencing of amplified tumour DNA (Alsop ). Cases for whom KRAS testing failed (N=36) or produced equivocal results (N=30) were classified as having unknown KRAS-mutation status. For quality control purposes, sequencing was also conducted on three cell-line controls (one containing the p.G12V mutation, one containing the p.G13D mutation, and one wild-type cell line). Tumour specimens were also assayed for BRAF-mutation status and for the presence of MSI. Tumour DNA was tested for the c.1799 T>A (p.V600E) BRAF mutation using a fluorescent allele-specific PCR assay as described previously (Buchanan ). With respect to MSI status, testing for cases enrolled in earlier years of recruitment (N=1430) was based on a 10-gene panel assayed in tumour DNA and in DNA extracted from normal surrounding tissue (BAT25, BAT26, BAT40, MYCL, D5S346, D17S250, ACTC, D18S55, D10S197, and BAT34C4) (Boland ; Newcomb ); tumours were classified as MSI-H if instability was observed in ⩾30% of markers, and as MSS if instability was observed in <30% of markers. For more recently enrolled cases (N=470), MSI status was based on immunohistochemistry (IHC) testing of four markers: MLH1, MSH2, MSH6, and PMS2 (Lindor ; Shia, 2008); cases whose tumour tissue exhibited positive staining for all markers were considered MSS, whereas cases negative for at least one marker were considered MSI-H. High concordance between IHC and PCR-based MSI testing has been demonstrated elsewhere (Cicek ). Cases for whom test results were equivocal or for whom testing was not completed (N=80) were classified as having unknown MSI status. Information on tumour site and stage at diagnosis was available from SEER. Tumours located in the caecum through the splenic flexure were grouped together as proximal colon cancers (ICD-O-3 codes C180, C182, C183, C184, and C185) (World Health Organisation, 2000). Tumours located in the descending (C186) and sigmoid colon (C187) were classified as distal colon cancer, and tumours in the rectosigmoid junction (C199) and rectum (C209) were grouped together as rectal cancer. Stage at diagnosis was recorded according to SEER summary staging conventions (localised-, regional-, distant-stage).

Survival information

Vital status was determined via linkage to SEER and the National Death Index. For cases who died during study follow-up, information was obtained on the date and cause of death, classified according to ICD-10 conventions (World Health Organisation, 2007). Deaths with an underlying cause attributed to ICD-10 codes C18.0-C20.0 or C26.0 (that is, CRC) were classified as disease-specific mortality events. Vital-status linkage was performed periodically, with the most recent linkage capturing deaths occurring through September 2010.

Statistical analysis

We used Cox proportional hazards regression to evaluate the association between KRAS-mutation status and survival after CRC diagnosis. The time axis for analysis was defined as days since diagnosis, with left censoring of participants until the date of study enrollment. We conducted separate survival analyses for disease-specific survival and overall survival. In all analyses, participants still alive at their last vital-status assessment were censored at that date. In analyses of disease-specific survival, we also censored persons who died due to causes other than CRC at the time of death. We evaluated associations between KRAS-mutation status and survival outcomes in the full cohort and within strata defined by patient characteristics (age at diagnosis, sex) and tumour characteristics (tumour site, stage, MSI status). In light of the fact that somatic mutations in KRAS and BRAF rarely co-occur (Davies ), and given that BRAF-mutated CRC has been shown to have a poorer prognosis than BRAF-wild-type CRC (Ogino ; Roth ; De Roock ), we conducted separate analyses: (1) in all cases irrespective of BRAF-mutation status; (2) restricted to BRAF-wild-type cases; and (3) combining information on KRAS and BRAF mutations to evaluate relative differences in survival for cases with a mutation in either vs neither gene. We also evaluated relative differences in survival between case groups defined by joint KRAS/MSI status, and by joint KRAS/BRAF/MSI status. Finally, we explored associations between different classes of KRAS mutations and survival outcomes, examining associations with specific mutations evident in ⩾5% of cases, and, more generally, with codon 12 mutations and codon 13 mutations separately; differences in codon-specific associations were evaluated via tests for heterogeneity. For all analyses, proportional hazards assumptions were assessed by testing for a non-zero slope of the scaled Schoenfeld residuals on ranked failure times (Therneau and Grambsch, 2000). Regression models included adjustment terms for age (5-year categories), sex, and study phase. We also assessed potential confounding by several patient and tumour characteristics: cigarette smoking (never, former, current); BMI 2 years before diagnosis (<25.0, 25.0–29.9, ⩾30.0 kg m−2); race (white, non-white); regular use of non-steroidal anti-inflammatory drugs at baseline (no, yes); family history of CRC in first-degree relatives (no, yes); and tumour site (proximal colon, distal colon/rectum). Of these additional factors, only cigarette smoking and BMI were retained in our final analytic model as adjustment for other variables had minimal impact on effect estimates (<5% change). We conducted sensitivity analyses using alternative approaches to assess the potential impact of excluding enrolled cases with unknown KRAS-mutation status. Specifically, we replicated analyses: (1) including all cases with missing KRAS-mutation status as KRAS wild-type; (2) including cases with missing KRAS-mutation status as KRAS-mutated; and (3) using multiple imputation for missing KRAS status. The multiple imputation model was based on all covariate variables from the multivariate model, as well as family history of CRC, tumour site, MSI status, BRAF-mutation status, race, survival time, and the survival outcome of interest (Moons ; Sterne ). All analyses were conducted in STATA SE version 12.0 (College Park, TX, USA).

Results

Characteristics of the study population are presented in Table 1 by KRAS-mutation status. Approximately 31% of cases had KRAS-mutated CRC. Compared with cases with KRAS-wild-type CRC, cases with KRAS-mutated disease were statistically significantly less likely to have MSI-H or BRAF-mutated CRC (P-value<0.001). There was no statistically significant difference in the distribution of age at diagnosis, sex, tumour site, or stage according to KRAS-mutation status. Overall, 38% (N=728) of cases died during the study follow-up period (mean=6.5 years, range=5.3 months to 13.7 years). Of those cases who died, ∼62% (N=449) died because of CRC.
Table 1

Study population characteristics by KRAS-mutation status

 KRAS wild-type (N=1330)KRAS-mutated (N=593)P-value*
Age at diagnosis
<50346 (26)147 (25)0.65
50–59291 (22)143 (24) 
60–69415 (31)188 (32) 
70–74
278 (21)
115 (19)
 
Sex
Male609 (46)264 (45)0.61
Female
721 (54)
329 (55)
 
Tumour site
Proximal colon505 (39)255 (44)0.10
Distal colon364 (28)147 (25) 
Rectal424 (33)183 (31) 
Unknown
37
89
 
Stage at diagnosisa
Localised553 (42)220 (37)0.12
Regional610 (46)293 (50) 
Distant144 (11)75 (13) 
Unknown
23
5
 
MSI statusa
MSS/MSI-L1042 (82)509 (90)<0.001
MSI-H236 (18)56 (10) 
Unknown
52
28
 
BRAF mutation statusa
Wild-type1083 (82)580 (99)<0.001
Mutated232 (18)6 (1) 
Unknown
15
7
 
Vital status
Alive843 (63)352 (59)0.09
Deceased
487 (37)
241 (41)
 
Mean years of follow-up (s.d.)6.7 (3.9)6.3 (4.1) 

Abbreviations: KRAS=Kirsten Ras; MSI=microsatellite instability; MSI-H=high microsatellite instability.

*P-value for χ2.

% distribution excludes cases with unknown value of characteristic.

Multivariate-adjusted analyses of disease-specific survival yielded estimates nearly identical to those from unadjusted analyses, and provided evidence of statistically significantly poorer survival in cases with KRAS-mutated vs KRAS-wild-type CRC (Table 2) (hazard ratio (HR)=1.37, 95% confidence interval (CI): 1.13–1.66). The magnitude of this association was similar when cases with BRAF-mutated disease were excluded or combined with the KRAS-mutated case group. Interaction terms by age at diagnosis, sex, tumour site, stage, and MSI status were not statistically significant (P>0.05); however, point estimates did vary slightly by stage and age at diagnosis. In particular, KRAS-mutation status was not associated with survival in cases who presented with distant-stage disease (P-interaction by stage=0.07). Additionally, KRAS-mutated CRC was associated with statistically significantly poorer disease-specific survival in cases aged ⩾50 years at diagnosis but not in those aged <50 (P-interaction by age=0.15). These non-significant differences in the strength of association across stage and age strata were diminished in analyses combining cases with BRAF-mutated and KRAS-mutated CRC. Associations were similar but attenuated in analyses of overall survival (Table 3).
Table 2

KRAS-mutation status and disease-specific survival after colorectal cancer diagnosis by patient and tumour characteristics, with and without consideration of BRAF-mutation status

 
All cases
BRAF-wild-type CRC only
Joint KRAS/BRAF mutation status
 KRAS-wild-type deaths/casesKRAS-mutated deaths/casesHR (95% CI)aKRAS-wild-type deaths/casesKRAS-mutated deaths/casesHR (95% CI)aKRAS- and BRAF-wt deaths/casesKRAS- or BRAF-mut deaths/casesHR (95% CI)a
Overall (unadjusted)
287/1330
162/593
1.36 (1.12–1.65)
238/1098
161/587
1.39 (1.14–1.70)
234/1083
214/834
1.31 (1.09–1.58)
Overall (adjusted)
287/1330
162/593
1.37 (1.13–1.66)
238/1098
161/587
1.40 (1.14–1.72)
234/1083
214/834
1.34 (1.11–1.63)
By age at diagnosis
<50 years79/34634/1471.03 (0.69–1.54)67/32034/1471.14 (0.76–1.73)65/31748/1761.40 (0.96–2.03)
⩾50 years
208/984
128/446
1.48 (1.18–1.85)
171/778
127/440
1.49 (1.18–1.88)
169/766
166/658
1.33 (1.07–1.66)
By sex
Male134/60974/2641.35 (1.02–1.79)119/54573/2611.37 (1.03–1.85)118/54289/3291.36 (1.03–1.79)
Female
153/721
88/329
1.38 (1.06–1.81)
119/553
88/326
1.43 (1.07–1.89)
116/541
125/505
1.35 (1.04–1.75)
By tumour site
Proximal104/50572/2551.44 (1.06–1.95)68/32271/2521.45 (1.04–2.04)67/315109/4441.25 (0.92–1.71)
Distal/rectal
178/788
87/330
1.29 (1.00–1.68)
166/745
87/327
1.33 (1.02–1.73)
163/737
101/376
1.35 (1.04–1.73)
By stage at diagnosis
Localised29/55319/2201.55 (0.85–2.82)28/46319/2161.38 (0.75–2.54)28/45820/3111.06 (0.58–1.93)
Regional146/61083/2931.35 (1.03–1.78)111/48782/2911.47 (1.10–1.96)109/480121/4241.50 (1.15–1.96)
Distant
111/144
59/75
1.02 (0.73–1.41)
98/129
59/75
1.06 (0.76–1.49)
96/126
72/90
1.11 (0.80–1.53)
By MSI
MSS257/1042143/5091.24 (1.00–1.52)221/943142/5041.33 (1.07–1.65)217/933180/6131.40 (1.15–1.72)
MSI-H22/23611/562.06 (0.93–4.52)10/11511/552.17 (0.89–5.31)10/11225/1811.67 (0.77–3.61)

Abbreviations: CI=confidence interval; CRC=colorectal cancer; HR=hazard ratio; KRAS=Kirsten Ras; MSI=microsatellite instability; MSI-H=high microsatellite instability.

All associations are relative to the KRAS wild-type case group. All P-values for tests of interaction across strata indicate a lack of statistically significant interaction (P>0.05).

Adjusted for age at diagnosis, sex, study population, body mass index, and history of cigarette smoking.

Table 3

KRAS-mutation status and overall survival after colorectal cancer diagnosis by patient and tumour characteristics, with and without consideration of BRAF-mutation status

 
All cases
BRAF-wild-type CRC only
Joint KRAS/ BRAF mutation status
 KRAS-wild-type deaths/casesKRAS-mutated deaths/casesHR (95% CI)aKRAS-wild-type deaths/casesKRAS-mutated deaths/casesHR (95% CI)aKRAS- and BRAF-wt deaths/casesKRAS-or BRAF-mut deaths/casesHR (95% CI)a
Overall (unadjusted)
487/1330
241/593
1.22 (1.05–1.43)
391/1098
239/587
1.28 (1.09–1.51)
386/1083
341/834
1.27 (1.10–1.47)
Overall (adjusted)
487/1330
241/593
1.24 (1.06–1.45)
391/1098
239/587
1.27 (1.08–1.50)
386/1083
341/834
1.24 (1.07–1.44)
By age at diagnosis
<50 years98/34641/1471.00 (0.70–1.45)86/32041/1471.07 (0.74–1.55)84/31755/1761.22 (0.87–1.72)
⩾50 years
389/984
200/446
1.31 (1.10–1.56)
305/778
198/440
1.33 (1.11–1.60)
293/766
286/658
1.24 (1.05–1.47)
By sex
Male238/609115/2641.20 (0.96–1.50)207/545114/2611.24 (0.98–1.56)205/542146/3291.25 (1.00–1.55)
Female
249/721
126/329
1.30 (1.04–1.61)
184/553
125/326
1.32 (1.05–1.67)
181/541
195/505
1.25 (1.01–1.53)
By tumour site
Proximal195/505109/2551.21 (0.95–1.54)121/322107/2521.24 (0.95–1.62)120/315185/4441.13 (0.90–1.43)
Distal/rectal
276/788
128/330
1.22 (0.99–1.51)
258/745
128/327
1.23 (0.99–1.53)
254/737
148/376
1.21 (0.99–1.49)
By stage at diagnosis
Localised
130/553
60/220
1.19 (0.87–1.63)
107/463
59/216
1.15 (0.83–1.59)
106/458
83/311
1.05 (0.78–1.42)
Regional
227/610
117/293
1.24 (0.99–1.55)
171/487
116/291
1.33 (1.05–1.69)
169/480
177/424
1.36 (1.09–1.68)
Distant
118/144
62/75
1.01 (0.73–1.38)
104/129
62/75
1.05 (0.75–1.45)
102/126
76/90
1.09 (0.80–1.49)
By MSI
MSS391/1042213/5091.21 (1.02–1.43)344/943212/5041.26 (1.06–1.51)340/933261/6131.28 (1.09–1.51)
MSI-H79/23617/561.20 (0.68–2.12)32/11516/551.20 (0.63–2.30)32/11267/1811.05 (0.67–1.64)

Abbreviations: CI=confidence interval; CRC=colorectal cancer; HR=hazard ratio; KRAS=Kirsten Ras; MSI=microsatellite instability; MSI-H=high microsatellite instability; mut=mutated; wt=wild-type.

All associations are relative to the KRAS wild-type case group. All P-values for tests of interaction across strata indicate a lack of statistically significant interaction (P>0.05).

Adjusted for age at diagnosis, sex, study population, body mass index, and history of cigarette smoking.

In analyses considering KRAS in combination with MSI status (Table 4), disease-specific and overall survival were statistically significantly more favourable in cases with KRAS-wild-type/MSI-H CRC (HR=0.35, 95% CI: 0.23–0.55, and HR=0.78, 95% CI: 0.60–1.00, respectively) and statistically significantly poorer in cases with KRAS-mutated/MSS CRC (HR=1.24, 95% CI: 1.01–1.52, and HR=1.21, 95% CI: 1.02–1.43, respectively) compared with cases with KRAS-wild-type/MSS disease. Results were similar after excluding cases with BRAF-mutated CRC. Patterns of association also changed very little when combining cases with KRAS- and/or BRAF-mutated disease: cases with KRAS- and BRAF-wild-type/MSI-H disease had the most favourable prognosis, and those with KRAS- or BRAF-mutated/MSS disease had the poorest survival.
Table 4

KRAS-mutation status, in combination with MSI and BRAF-mutation status, in relation to disease-specific and overall survival after colorectal cancer diagnosis

 
Disease-specific survival
Overall survival
 Deaths/casesHR (95% CI)aDeaths/casesHR (95% CI)a
Joint KRAS and MSI status
KRAS wt/MSI-H22/2360.35 (0.23–0.55)79/2360.78 (0.60–1.00)
KRAS mut/MSI-H11/560.77 (0.42–1.41)17/560.87 (0.53–1.42)
KRAS wt/MSS257/10421.00 (ref)391/10421.00 (ref)
KRAS mut/MSS
143/509
1.24 (1.01–1.52)
213/509
1.21 (1.02–1.43)
Joint KRAS and MSI status (BRAF wild-type only)
KRAS wt/MSI-H10/1120.34 (0.18–0.65)32/1120.74 (0.51–1.07)
KRAS mut/MSI-H11/530.87 (0.47–1.60)16/530.92 (0.55–1.52)
KRAS wt/MSS217/9331.00 (ref)340/9331.00 (ref)
KRAS mut/MSS
141/501
1.36 (1.09–1.68)
210/501
1.27 (1.07–1.52)
Joint KRAS, BRAF, and MSI status
KRAS and BRAF wt/MSI-H10/1120.34 (0.18–0.65)32/1120.75 (0.52–1.08)
KRAS or BRAF mut/MSI-H25/1810.60 (0.39–0.91)67/1810.91 (0.69–1.20)
KRAS and BRAF wt/MSS217/9331.00 (ref)340/9331.00 (ref)
KRAS or BRAF mut/MSS180/6131.41 (1.15–1.73)261/6131.28 (1.08–1.51)

Abbreviations: CI=confidence interval; HR=hazard ratio; KRAS=Kirsten Ras; MSI=microsatellite instability; MSI-H=high microsatellite instability; mut=mutated; wt=wild-type.

Adjusted for age at diagnosis, sex, study population, body mass index, and history of cigarette smoking.

Among cases with KRAS-mutated CRC, 75% (N=444) had a mutation in codon 12 and 22% (N=132) in codon 13 (Supplementary Table 1). Compared with cases with a codon 12 KRAS mutation, those with a codon 13 mutation were statistically significantly more likely to have CRC located in the proximal colon (54% vs 40%) and to have MSI-H disease (19% vs 7%). We found no statistically significant differences in the association between KRAS-mutation status and survival when we evaluated associations with mutated codon 12 vs mutated codon 13 (P-heterogeneity=0.54 and P-heterogeneity=0.30 for disease-specific and overall survival, respectively). The presence of a somatic p.G13D mutation was associated with statistically significantly poorer disease-specific (HR=1.48, 95% CI: 1.04–2.04) and overall survival (HR=1.38, 95% CI: 1.05–1.81) compared with KRAS-wild-type; neither p.G12D nor p.G12V mutations were significantly associated with survival outcomes when evaluated separately (Supplementary Table 2). Compared with cases with known KRAS-mutation status, enrolled cases with unknown KRAS status were younger at diagnosis (median age=52 years vs 60 years), more likely to have distant-stage disease (20% vs 12%), and had a lower 5-year overall survival (65% vs 74%) (not shown). In sensitivity analyses, we evaluated the effect of missing information on KRAS status (N=728, 29%). In analyses based on our primary analytic model with no exclusion of BRAF-mutated cases, including all cases with unknown KRAS-mutation status as KRAS-mutated cases increased point estimates to HR=1.53 (95% CI: 1.13–1.79) for disease-specific survival and HR=1.39 (95% CI: 1.23–1.57) for overall survival. When we instead included these 728 cases as KRAS-wild-type, point estimates fell to HR=1.12 (95% CI: 0.94–1.34) and HR=1.06 (95% CI: 0.92–1.23) for disease-specific and overall survival, respectively. Thus, our point estimates comparing survival in KRAS-mutated vs KRAS-wild-type cases are subject to some uncertainty due to the exclusion of cases with missing KRAS data. However, when we implemented a multiple imputation model to account for missingness in KRAS, our results based on the analysis of known and imputed KRAS data indicated statistically significantly poorer disease-specific (HR=1.35, 95% CI: 1.12–1.63) and overall survival (HR=1.22, 95% CI: 1.05–1.42) associated with the presence of a KRAS mutation.

Discussion

In this large population-based cohort of men and women with incident invasive CRC, the presence of a somatic KRAS mutation was associated with statistically significantly poorer survival, specifically in those without distant-stage disease. Patients with KRAS-mutated CRC, whose tumours were also MSS, had the poorest prognosis. These patterns of association were relatively unchanged when limited to BRAF-wild-type cases and when grouping BRAF-mutated and KRAS-mutated cases. Contrary to some previous reports, we did not find the association between KRAS-mutation status and survival to be limited to the p.G12V KRAS-mutation specific identified mutations. Activating mutations in KRAS are among the most common mutations in human cancers (Ikediobi ). Mutations in KRAS codons 12 and 13 have been shown to result in an altered RAS protein with greater resistance to GTPase activity (Bollag and McCormick, 1995; Al-Mulla ). By remaining in an active GTP-bound state for longer, mutated RAS contributes to enhanced cellular growth and proliferation (Al-Mulla ), activating the RAS/RAF/MAPK and the phosphoinositide 3-kinase-AKT pathways. The relationship between constitutive activation of the RAS/RAF/MAPK signalling pathway and CRC prognosis has previously also been supported by studies evaluating the association between the BRAF p.V600E activating mutation and CRC survival (Ogino ; Roth ; De Roock ). Mutations in BRAF and KRAS are both thought to occur early in colorectal carcinogenesis, and are rarely observed together. Here, we found that only 1% (N=6) of CRC cases with a somatic KRAS mutation harboured a BRAF mutation, compared with 18% of KRAS-wild-type CRC cases; this is consistent with data from The Cancer Genome Atlas (Cerami ) and recent reports from other large studies (Hutchins ; Imamura ). When we combined information on KRAS and BRAF status to compare survival in CRC cases with a somatic mutation in at least one vs neither of these genes, we found only modest differences from our analyses where BRAF-mutation status was not considered. The presence of a somatic KRAS mutation is also inversely associated with the presence of MSI (Ogino ; Nash ; Imamura ). MSI-H CRC is known to have a statistically significantly more favourable prognosis than MSS CRC (Guastadisegni ), and to have a distinct clinicopathology: the distribution of MSI follows a clear gradient of decreasing prevalence from the ascending colon to the rectum (Yamauchi ) and is less prevalent in cases diagnosed at later stages (Ogino ; Nash ). Although we found that the prevalence of MSI was statistically significantly lower in KRAS-mutated vs KRAS-wild-type cases, we found no difference in the distribution of tumour site or stage at diagnosis according to KRAS status. We also found no statistically significant interaction in the association between KRAS-mutation status and survival according to MSI status, tumour site, or stage at diagnosis. However, our results did suggest that KRAS-mutation status was not associated with survival in cases who presented with distant-stage disease, as has been suggested by at least two previous studies (Nash ; Inoue ). Thus, although the prevalence of somatic KRAS mutations does not appear to differ by stage at diagnosis, the prognostic role of KRAS may differ by stage. Several studies in the distant-stage, metastatic setting have demonstrated the utility of KRAS-mutation status as a predictive marker for response to anti-EGFR therapy (Lin ; Bokemeyer ). In a recent meta-analysis, Lin reported that the presence of a KRAS mutation had a positive likelihood ratio of 2.0 (95% CI: 1.45–2.76) for predicting non-response to anti-EGFR in distant-stage CRC . However, the role of KRAS as a predictive marker has not been demonstrated for less advanced disease: recently published findings from a phase III randomized trial of patients with stage III colon cancer indicated no benefit in 3-year disease-free survival with the addition of cetuximab to standard chemotherapy, regardless of KRAS-mutation status (HR=1.21, 95% CI: 0.98–1.49 in KRAS-wild-type and HR=1.12, 95% CI: 0.86–1.46 in KRAS mutated) (Alberts ). Results from that trial did, however, provide support for the role of KRAS-mutation status as a prognostic factor, independent of anti-EGFR therapy: 3-year disease-free survival ranged from 72–75% across treatment arms in participants with KRAS-wild-type disease vs 65–67% in participants with KRAS-mutated disease (Alberts ). Previous studies focused on KRAS-mutation status as a potential prognostic factor has been mixed in their findings. In the largest study of KRAS-mutation status and survival to date, the Kirsten Ras Colorectal Cancer Collaborative Group study (RASCAL, N=2721), Andreyev reported statistically significantly poorer overall survival for KRAS-mutated vs KRAS-wild-type disease at a magnitude similar to that observed here (HR=1.22, 95% CI: 1.07–1.40). The majority of other, smaller studies have also indicated a poorer prognosis in patients with KRAS-mutated CRC (Nash ; De Roock ; Hutchins ; Imamura ). Several studies, however, have failed to find an association between KRAS and patient outcomes (Samowitz ; Gnanasampanthan ; Wang ; Lee ; Ogino , 2009b; Roth ). The basis for these inconsistencies is unclear, but may be related to limited sample size and differences in the distribution and consideration of other factors, such as age at diagnosis, stage, and MSI status. Prior studies have also differed in their consideration of specific KRAS mutations in relation to CRC survival. In an update of the original RASCAL study (RASCAL II, N=4268), Andreyev found the association between KRAS-mutation status and survival was largely confined to the p.G12V mutation. Imamura recently reported a similar finding, and found that mutations in KRAS codon 13 were not associated with CRC survival. Unlike these reports, we did not find a statistically significant association between the p.G12V KRAS mutation and prognosis. Although experimental evidence has suggested that mutations in KRAS codon 12, particularly p.G12V, confer lower GTPase activity (Bollag and McCormick, 1995; Al-Mulla ), which may translate to greater transforming potential, our data are not consistent with a clear difference in the prognostic significance of somatic KRAS mutations by codon. Results presented here should be interpreted in the context of study limitations. Only limited information on first course of treatment was available and it is possible that treatment could have differed according to KRAS-mutation status; however, 95% of cases were diagnosed before 2006 at a time before KRAS-mutation status might have been used to decide on anti-EGFR therapy. KRAS-mutation status does not appear to be associated with differential response to other chemotherapies (Richman ; Ogino ; Hutchins ). In addition, KRAS-mutation status was not determined for 29% of enrolled cases. Although these cases differed from cases with known KRAS-mutation status on several factors that could be related to prognosis, we obtained point estimates similar to those in our primary analyses in sensitivity analyses using multiple imputation to account for these missing data. KRAS-mutation status also could not be determined in cases who were not enrolled in the present study because of refusal, death before enrollment, or loss to follow-up. If KRAS-mutated CRC is truly associated with poorer prognosis, the prevalence of KRAS mutations is likely to have been higher in those cases who died before they could be enrolled in the study: exclusion of deceased cases would thus have attenuated, rather than inflated our estimates of the strength of association. Important strengths of the present study include the population-based design and large sample size. Our consideration of both MSI and BRAF-mutation status in evaluating the relationship between KRAS-mutation status and CRC survival also represents an important strength. Here, we confirm previous reports that KRAS-mutated CRC is less likely to be MSI-H and is very rarely BRAF mutated. When we evaluated these three markers in combination in relation to survival, we found a strong gradient in risk, particularly with respect to disease-specific survival. Those individuals with CRC that was KRAS-wild-type, BRAF-wild-type, and MSI-H had the most favourable disease-specific survival; individuals with CRC that was KRAS- or BRAF-mutated and MSS experienced a statistically significantly poorer prognosis than other case groups defined by combinations of these three markers. These results support the prognostic significance of KRAS-mutation status beyond its now established role as a predictive marker in distant-stage CRC.
  38 in total

1.  Relationship of Ki-ras mutations in colon cancers to tumor location, stage, and survival: a population-based study.

Authors:  W S Samowitz; K Curtin; D Schaffer; M Robertson; M Leppert; M L Slattery
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2000-11       Impact factor: 4.254

2.  Immunohistochemistry versus microsatellite instability testing in phenotyping colorectal tumors.

Authors:  Noralane M Lindor; Lawrence J Burgart; Olga Leontovich; Richard M Goldberg; Julie M Cunningham; Daniel J Sargent; Catherine Walsh-Vockley; Gloria M Petersen; Michael D Walsh; Barbara A Leggett; Joanne P Young; Melissa A Barker; Jeremy R Jass; John Hopper; Steve Gallinger; Bharati Bapat; Mark Redston; Stephen N Thibodeau
Journal:  J Clin Oncol       Date:  2002-02-15       Impact factor: 44.544

3.  Ki-ras mutation type and the survival benefit from adjuvant chemotherapy in Dukes' C colorectal cancer.

Authors:  G Gnanasampanthan; H Elsaleh; K McCaul; B Iacopetta
Journal:  J Pathol       Date:  2001-12       Impact factor: 7.996

4.  Intrinsic and GTPase-activating protein-stimulated Ras GTPase assays.

Authors:  G Bollag; F McCormick
Journal:  Methods Enzymol       Date:  1995       Impact factor: 1.600

Review 5.  A National Cancer Institute Workshop on Microsatellite Instability for cancer detection and familial predisposition: development of international criteria for the determination of microsatellite instability in colorectal cancer.

Authors:  C R Boland; S N Thibodeau; S R Hamilton; D Sidransky; J R Eshleman; R W Burt; S J Meltzer; M A Rodriguez-Bigas; R Fodde; G N Ranzani; S Srivastava
Journal:  Cancer Res       Date:  1998-11-15       Impact factor: 12.701

6.  Prognostic significance of microsatellite instability and Ki-ras mutation type in stage II colorectal cancer.

Authors:  Cathy Wang; Marius van Rijnsoever; Fabienne Grieu; Sean Bydder; Hsny Elsaleh; David Joseph; Jennet Harvey; Barry Iacopetta
Journal:  Oncology       Date:  2003       Impact factor: 2.935

7.  The prognostic value of KRAS mutations in patients with colorectal cancer.

Authors:  Yasuhiro Inoue; Susumu Saigusa; Takashi Iwata; Yoshinaga Okugawa; Yuji Toiyama; Koji Tanaka; Keiichi Uchida; Yasuhiko Mohri; Masato Kusunoki
Journal:  Oncol Rep       Date:  2012-08-21       Impact factor: 3.906

8.  Mutations of the BRAF gene in human cancer.

Authors:  Helen Davies; Graham R Bignell; Charles Cox; Philip Stephens; Sarah Edkins; Sheila Clegg; Jon Teague; Hayley Woffendin; Mathew J Garnett; William Bottomley; Neil Davis; Ed Dicks; Rebecca Ewing; Yvonne Floyd; Kristian Gray; Sarah Hall; Rachel Hawes; Jaime Hughes; Vivian Kosmidou; Andrew Menzies; Catherine Mould; Adrian Parker; Claire Stevens; Stephen Watt; Steven Hooper; Rebecca Wilson; Hiran Jayatilake; Barry A Gusterson; Colin Cooper; Janet Shipley; Darren Hargrave; Katherine Pritchard-Jones; Norman Maitland; Georgia Chenevix-Trench; Gregory J Riggins; Darell D Bigner; Giuseppe Palmieri; Antonio Cossu; Adrienne Flanagan; Andrew Nicholson; Judy W C Ho; Suet Y Leung; Siu T Yuen; Barbara L Weber; Hilliard F Seigler; Timothy L Darrow; Hugh Paterson; Richard Marais; Christopher J Marshall; Richard Wooster; Michael R Stratton; P Andrew Futreal
Journal:  Nature       Date:  2002-06-09       Impact factor: 49.962

9.  Kirsten ras mutations in patients with colorectal cancer: the 'RASCAL II' study.

Authors:  H J Andreyev; A R Norman; D Cunningham; J Oates; B R Dix; B J Iacopetta; J Young; T Walsh; R Ward; N Hawkins; M Beranek; P Jandik; R Benamouzig; E Jullian; P Laurent-Puig; S Olschwang; O Muller; I Hoffmann; H M Rabes; C Zietz; C Troungos; C Valavanis; S T Yuen; J W Ho; C T Croke; D P O'Donoghue; W Giaretti; A Rapallo; A Russo; V Bazan; M Tanaka; K Omura; T Azuma; T Ohkusa; T Fujimori; Y Ono; M Pauly; C Faber; R Glaesener; A F de Goeij; J W Arends; S N Andersen; T Lövig; J Breivik; G Gaudernack; O P Clausen; P D De Angelis; G I Meling; T O Rognum; R Smith; H S Goh; A Font; R Rosell; X F Sun; H Zhang; J Benhattar; L Losi; J Q Lee; S T Wang; P A Clarke; S Bell; P Quirke; V J Bubb; J Piris; N R Cruickshank; D Morton; J C Fox; F Al-Mulla; N Lees; C N Hall; D Snary; K Wilkinson; D Dillon; J Costa; V E Pricolo; S D Finkelstein; J S Thebo; A J Senagore; S A Halter; S Wadler; S Malik; K Krtolica; N Urosevic
Journal:  Br J Cancer       Date:  2001-09-01       Impact factor: 7.640

Review 10.  American Society of Clinical Oncology provisional clinical opinion: testing for KRAS gene mutations in patients with metastatic colorectal carcinoma to predict response to anti-epidermal growth factor receptor monoclonal antibody therapy.

Authors:  Carmen J Allegra; J Milburn Jessup; Mark R Somerfield; Stanley R Hamilton; Elizabeth H Hammond; Daniel F Hayes; Pamela K McAllister; Roscoe F Morton; Richard L Schilsky
Journal:  J Clin Oncol       Date:  2009-02-02       Impact factor: 44.544

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  93 in total

1.  An Unusual Combination: KRAS and BRAF Co-mutated Metastatic Colorectal Cancer.

Authors:  Narendranath Epperla; Ben George
Journal:  J Gastrointest Cancer       Date:  2016-06

2.  Prediagnostic Physical Activity and Colorectal Cancer Survival: Overall and Stratified by Tumor Characteristics.

Authors:  Sheetal Hardikar; Polly A Newcomb; Peter T Campbell; Aung Ko Win; Noralane M Lindor; Daniel D Buchanan; Karen W Makar; Mark A Jenkins; John D Potter; Amanda I Phipps
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-05-14       Impact factor: 4.254

3.  A Phase I Dose-Escalation Trial of BN-CV301, a Recombinant Poxviral Vaccine Targeting MUC1 and CEA with Costimulatory Molecules.

Authors:  Margaret E Gatti-Mays; Julius Strauss; Jeffrey Schlom; James L Gulley; Renee N Donahue; Claudia Palena; Jaydira Del Rivero; Jason M Redman; Ravi A Madan; Jennifer L Marté; Lisa M Cordes; Elizabeth Lamping; Alanvin Orpia; Andrea Burmeister; Eva Wagner; Cesar Pico Navarro; Christopher R Heery
Journal:  Clin Cancer Res       Date:  2019-05-20       Impact factor: 12.531

Review 4.  The molecular characteristics of colorectal cancer: Implications for diagnosis and therapy.

Authors:  Ha Thi Nguyen; Hong-Quan Duong
Journal:  Oncol Lett       Date:  2018-05-09       Impact factor: 2.967

5.  Adenoma-like adenocarcinoma: a subtype of colorectal carcinoma with good prognosis, deceptive appearance on biopsy and frequent KRAS mutation.

Authors:  Raul S Gonzalez; Justin M M Cates; Mary Kay Washington; Robert Daniel Beauchamp; Robert J Coffey; Chanjuan Shi
Journal:  Histopathology       Date:  2015-06-04       Impact factor: 5.087

Review 6.  Progress and opportunities in molecular pathological epidemiology of colorectal premalignant lesions.

Authors:  Paul Lochhead; Andrew T Chan; Edward Giovannucci; Charles S Fuchs; Kana Wu; Reiko Nishihara; Michael O'Brien; Shuji Ogino
Journal:  Am J Gastroenterol       Date:  2014-06-17       Impact factor: 10.864

7.  Micropapillary colorectal carcinoma: clinical, pathological and molecular properties, including evidence of epithelial-mesenchymal transition.

Authors:  Raul S Gonzalez; Won Jae Huh; Justin M M Cates; Kay Washington; R Daniel Beauchamp; Robert J Coffey; Chanjuan Shi
Journal:  Histopathology       Date:  2016-10-28       Impact factor: 5.087

8.  Detection of KRAS mutations in circulating tumor cells from patients with metastatic colorectal cancer.

Authors:  Marcilei Ec Buim; Marcello F Fanelli; Virgilio S Souza; Juliana Romero; Emne A Abdallah; Celso Al Mello; Vanessa Alves; Luciana Mm Ocea; Natália B Mingues; Paula Nvp Barbosa; Chiang J Tyng; Rubens Chojniak; Ludmilla Td Chinen
Journal:  Cancer Biol Ther       Date:  2015-08-07       Impact factor: 4.742

9.  Multifaceted enrichment analysis of RNA-RNA crosstalk reveals cooperating micro-societies in human colorectal cancer.

Authors:  Tommaso Mazza; Gianluigi Mazzoccoli; Caterina Fusilli; Daniele Capocefalo; Anna Panza; Tommaso Biagini; Stefano Castellana; Annamaria Gentile; Angelo De Cata; Orazio Palumbo; Raffaella Stallone; Rosa Rubino; Massimo Carella; Ada Piepoli
Journal:  Nucleic Acids Res       Date:  2016-04-11       Impact factor: 16.971

10.  Long-Chain n-3 Fatty Acids Attenuate Oncogenic KRas-Driven Proliferation by Altering Plasma Membrane Nanoscale Proteolipid Composition.

Authors:  Natividad R Fuentes; Mohamed Mlih; Rola Barhoumi; Yang-Yi Fan; Paul Hardin; Trevor J Steele; Spencer Behmer; Ian A Prior; Jason Karpac; Robert S Chapkin
Journal:  Cancer Res       Date:  2018-05-16       Impact factor: 12.701

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