Literature DB >> 34637541

Clinicopathological characteristics of early onset colorectal cancer.

Fanny E R Vuik1, Stella A V Nieuwenburg1, Iris D Nagtegaal2, Ernst J Kuipers1, Manon C W Spaander1.   

Abstract

BACKGROUND: The rising incidence of early onset colorectal cancer (EOCRC) might reflect a novel tumour entity. AIMS: To evaluate clinicopathological characteristics of sporadic EOCRC (in patients < 50 years old) and investigate changes over time
METHODS: All patients with sporadic EOCRC between 1989 and 2016 were included and divided by age: 20-29 years (group I), 30-39 years (group II) and 40-49 years (group III).
RESULTS: We included 6400 patients. The presence of signet-ring cells and more poorly differentiated tumours were more common in the younger age groups: 5.4% and 3.7% for signet-ring cells in group I and II vs 1.4% in group III (P < 0.01), and 28.5% and 20.3% for poorly differentiated in group I and II vs 16.6% in group III, (P < 0.01 group I; P = 0.07 group II). Positive lymph nodes were more frequently observed in the younger age groups: 16.2% in group I vs 9.3% in group II (P = 0.01) and 7.9% (P < 0.01) in group III. Over time, a greater proportion of CRCs were diagnosed in women in group I (34.5% < 2004 vs 54.9%>2005, P = 0.09), and a higher percentage of rectal cancer was found in age group III (34.3% < 2004 vs 40.7% > 2005, P < 0.01). Mean overall survival was 6.3 years and improved over time.
CONCLUSIONS: EOCRC is not only characterised by age of onset but also by the more frequent presence of signet-ring cells, more poorly differentiated tumours, and higher risk of lymph node metastases. In the most recent years, a higher proportion of rectal cancer was found from the age of 30 years, and a higher proportion of CRCs were diagnosed in females below the age of 30 years.
© 2021 The Authors. Alimentary Pharmacology & Therapeutics published by John Wiley & Sons Ltd.

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Mesh:

Year:  2021        PMID: 34637541      PMCID: PMC9292775          DOI: 10.1111/apt.16638

Source DB:  PubMed          Journal:  Aliment Pharmacol Ther        ISSN: 0269-2813            Impact factor:   9.524


INTRODUCTION

Colorectal cancer (CRC) incidence and mortality are decreasing in adults older than 50 years due to screening and improvements in CRC treatment in both the US and Europe. , Conversely, CRC incidence in young adults, early‐onset CRC (EOCRC), is rising in several parts of the world. , It is known that individuals with Lynch syndrome (LS) or familial adenomatous polyposis (FAP) are more likely to develop CRC at a relatively young age. However, this group accounts for only 2%‐3% of all CRC cases. Most of EOCRCs are sporadic cases. The underlying factors contributing to the increasing incidence of sporadic CRC in young adults are still incompletely understood but seem to include obesity, lack of physical activity, alcohol intake and cigarette smoking. , , Also, several drugs have been reported to be associated with CRC risk. The use of oral antibiotics is associated with an increased CRC risk, while the use of statin and aspirin might decrease this risk. , , Association studies on sporadic EOCRC show that male gender, being black or Asian, having inflammatory bowel disease (IBD) or a family history of CRC might be associated with an increased EOCRC risk. To fully elucidate causes and mechanisms of EOCRC, it is important to have more insight into both patient and tumour characteristics of these CRCs. Data on location, histology, and tumour stages of sporadic EOCRC compared to late‐onset CRC are scarce and conflicting. Some studies indicate a higher prevalence of right‐sided CRC in EOCRC while other studies showed a higher prevalence of a more distal location. , Signet‐ring cells were described to be more prominent in EOCRC, while conflicting studies were published on KRAS, NRAS and BRAF mutations among EOCRC patients. , These conflicting data might be a result of differences between and within EOCRC cohorts. For example, the very young patients (below the age of 30 years) might have a different type of CRC than the slightly older EOCRC patients (30‐50 years of age). The latter might resemble more the sporadic CRC in adults above the age of 50 years of age. Furthermore, it is questioned whether the rising incidence of sporadic EOCRC might reflect the rise of a novel tumour entity. Therefore, the aim of this study was to assess the clinicopathological characteristics of sporadic EOCRCs within different age categories (20‐29 years vs 30‐39 years vs 40‐49 years) and investigate changes over time.

METHODS

Study population

All CRC patients below the age of 50 years were identified from the Netherlands Cancer Registry (NKR) and the Dutch national pathology registry PALGA, the nationwide network and registry of histo‐ and cytopathology in the Netherlands between 1989 and 2016 with follow‐up of each case until 31 January 2018. EOCRCs were defined as sporadic cancers of the colon or rectum in individuals under the age of 50 years that were tested for LS and showed an MSS phenotype. Patients were divided into three age groups: group I (20‐29 years); group II (30‐39 years) and group III (40‐49 years). All patients with an adenocarcinoma located in the colon and/or rectum were included. Excluded from this study were patients with LS tumours, neuroendocrine tumours, neuroendocrine carcinomas and squamous cell carcinomas. The study was conducted in accordance with the Declaration of Helsinki Principles and approved by the ethical committee of the Erasmus University Medical Center, Rotterdam (MEC‐2020‐0048).

Data source

Data on age‐related histopathological features were retrieved from the NKR and the Dutch national pathology registry PALGA. , NKR complies clinical data of all newly diagnosed patients with cancer in the Netherlands since 1989. The PALGA database covers all pathology laboratories in the Netherlands. Summaries of all histopathology and cytopathology reports are generated automatically at the laboratories and transferred to the central databank of PALGA.

Data collection

Tumours on which molecular analyses were performed and were negative for a hereditary disorder, were defined as sporadic CRC. Clinical characteristics included gender, age at diagnosis, tumour location and tumour stage. Tumour location was grouped by primary site, where cecum to sigmoid (ICD‐O‐3 codes C180, C182‐C187 and C199) was defined as colon and rectum (C209) was defined separately. Pathological characteristics included histopathology, degree of differentiation, presence of (lymph node) metastasis, lymphatic invasion and angioinvasion. For N stage the UICC 7th edition was used. Lymph node metastasis were categorised in two groups: patients with no or <7 lymph nodes (≤N2a) or patients with >7 lymph nodes (N2b). TNM stage was based on histopathologic examination (pTNM). In case pTNM stage was not available, TNM stage before treatment (cTNM) was used. Data on the presence of lymphatic invasion and angioinvasion was only available for the years 2015 and 2016. Furthermore, the prevalence of the following genes was examined: BRAF, NRAS and KRAS. Overall survival (OS) was defined as the time between the date of diagnosis to the date of death from any cause or the end of follow‐up.

Statistical analyses

The proportions between age categories were compared using chi‐squared or Fishers exact tests when appropriate. Group‐wise comparisons were performed when the overall P‐value of a group was P < 0.10. To elucidate the clinical and histopathological characteristics of patients with sporadic EOCRC over time, the study period was divided into two time periods (period 1: 1989‐2004 and period 2: 2005‐2018) comparing the first 15 years of data to the second 15 years. Differences between the time periods were compared using the chi‐squared test. Kaplan‐Meier curves and log‐rank tests were used to evaluate differences in survival. A two‐sided P‐value of less than 0.05 was considered statistically significant. Data analyses were performed using spss version 25.

RESULTS

Baseline characteristics

In total, 15 925 CRC patients under the age of 50 years were identified between 1989 and 2016 (52% male, mean age 43 years, SD 5.8) (Figure 1). No molecular diagnostics were performed on 7.905 (49.6%) patients. Differences in characteristics between patients with and without molecular diagnostics are depicted in Table S1. Patients tested for MSI were slightly older 43.5 years vs 42.7 years (P < 0.01), were more often females 49.5% vs 46.5% (P < 0.01), had more often more than seven positive lymph nodes (8.1% vs 5.9%, P < 0.01) and had a well‐differentiated tumour (80.1% vs 78.1%, P < 0.01).
FIGURE 1

Flowchart

Flowchart Of the other 8020 patients, 69 patients were excluded because the tumour was not an adenocarcinoma. Of the remaining 7951 patients with an adenocarcinoma and MSI tested, 6400 (80.5%) was a sporadic EOCRC, 681 patients (8.6%) were diagnosed with LS, and of 870 patients (10.9%) the result of molecular diagnostics was unknown.

Sporadic EOCRC

When focusing on the 6400 sporadic EOCRC patients, 49.2% was male with a mean age of 43 years (SD 5.6). In total, 202 (3%) patients were diagnosed at the age of 20‐29 years old (group I); 1196 (19%) patients at the age of 30‐39 years old (group II) and 4.989 (78%) patients at the age of 40‐49 years old (group III). Due to the low number of patients in age group 0‐19 years of age (n = 13 [0.2%]), clinicopathological features were described and not included in the comparison analyses.

Clinical and pathological characteristics of patients with sporadic EOCRC

Characteristics per age group

In the youngest sporadic EOCRC age group (0‐19 years) patients had a mean age of 16 years (SD 2·2), 61.5% was female, and in 38.5% the tumour was located in the rectum. CRC was poorly differentiated in 46.2% and in 38.5% signet‐ring cell carcinoma was present. Between age groups I, II and III no difference in gender (P = 0.43) and location (P = 0.10) was observed (Table 1). More often positive lymph nodes were diagnosed in group I, 16.2% vs 9.3% in group II (P = 0.01) and 7.9% (P < 0.01) in group III. Also, in group I more poorly differentiated tumours 28.5% were found, followed by 20.3% in group II and 16.6% in group III (P < 0.01). Both in groups I and II more signet‐ring cell carcinomas 5.4% and 3.7% vs 1.4% in group III (P < 0.01) were present (Figure 2). The only differences between age groups and TNM stage, were more prevalent TNM stage I tumours in age group III compared to age group II (13.0% vs 11.1%, P = 0.04) and more frequently diagnosed TNM stage III tumours in age group II compared to age group III (9.9% vs 6.8%, P < 0.01). No differences in the number of metastases were observed between the age groups. Also, no difference in the number of mucinous carcinoma and presence of angioinvasion was observed. Lymphatic invasion was more commonly found in groups I and II compared to group III, 33.3% and 28.0% vs 20.3% (P = 0.09) respectively. No difference was observed in the number of KRAS, NRAS and BRAF mutations.
TABLE 1

Clinical and pathological features of sporadic EOCRC divided into three age groups

Characteristic of EOCRC patients

Group I

20‐29 years

Group II

30‐39 years

Group III

40‐49 years

P‐valueGroup I vs group IIGroup I vs group IIIGroup II vs group III
Total number20211964989
Gender
Male103 (51.0)569 (47.6)2470 (49.5)0.43
Female99 (49.0)627 (52.4)2519 (50.5)
Location
Colon133 (68.6)714 (61.0)2977 (61.0)0.10...
Rectum61 (31.4)456 (39.0)1905 (39.0)
Mucinous histology
Absent188 (93.1)1126 (94.1)4741 (95.0)0.25
Present14 (6.9)70 (5.9)248 (5.0)
Signet‐ring cell histology
Absent191 (94.6)1152 (96.3)4919 (98.6)<0.01 b 0.23<0.01<0.01
Present11 (5.4)44 (3.7)70 (1.4)
Differentiation grade
Well/moderate108 (71.5)721 (79.7)3206(83.4)<0.01 b 0.02<0.01<0.01
Poor43 (28.5)184 (20.3)636 (16.6)
TNM stage
I30 (14.9)133 (11.1)668 (13.0)0.08 b 0.130.550.04
II12 (5.9)71 (5.9)238 (4.8)0.21
III13 (6.4)118 (9.9)340 (6.8)<0.01 b 0.120.83<0.01
IV26 (12.9)174(14.5)633 (12.7)0.23
Number of metastasis
0146 (72.3)886 (74.1)3795 (76.1)0.19
135 (17.3)204 (17.1)745 (14.9)0.14
211 (5.4)71 (5.9)306 (6.1)0.90
39 (4.5)31 (2.6)130 (2.6)0.27
Number of positive lymph nodes
<7 positive lymph nodes129 (83.8)816 (90.7)3599 (92.1)<0.01 b 0.01<0.010.16
>7 positive lymph nodes25 (16.2)84 (9.3)307 (7.9)
Lymphatic invasion a
No16 (66.7)67 (72.0)468 (79.7)0.09 b 0.610.120.09
Yes8 (33.3)26 (28.0)119 (20.3)
Angioinvasion a
No14 (66.7)41 (69.5)331 (74.4)0.56
Yes7 (33.3)18 (30.5)114 (25.6)
KRAS mutation
Absent14 (58.3)72(63.2)261 (55.9)0.37
Present10 (41.7)42 (36.8)206 (44.1)
NRAS mutation
Absent13 (92.9)64(98.5)244 (94.6)0.38
Present1(7.1)1 (1.5)14 (5.4)
BRAF mutation
Absent18 (100)73 (93.6)299 (91.8)0.42
Present0 (0)5 (6.4)26 (8.0)

Data of lymphatic invasion and angioinvasion was only available for years 2015 and 2016.

A two‐sided P‐value of less than 0.05 was considered statistically significant.

FIGURE 2

Microscopic image of a signet‐ring cell carcinoma in the colon

Clinical and pathological features of sporadic EOCRC divided into three age groups Group I 20‐29 years Group II 30‐39 years Group III 40‐49 years Data of lymphatic invasion and angioinvasion was only available for years 2015 and 2016. A two‐sided P‐value of less than 0.05 was considered statistically significant. Microscopic image of a signet‐ring cell carcinoma in the colon

EOCRC characteristics over time

In age group I, 34.5% of the cancers were diagnosed in women in time period 1989‐2004 compared to 54.9% in time period 2005‐2018 (P = 0.01) (Figure 3 and Table S2). In age groups II and III no differences in gender were observed over time. For tumour location age group I showed the highest percent of cancers located in the colon in both men and women, and this did not change over time. In age group II the percent of rectal cancer was 33.8% in time period 1989‐2004 and 41.6% in period 2005‐2018 (P = 0.01) and in age group III the percent of rectal cancer was 34.3% in period 1989‐2004 and 40.7% in period 2005‐2018 (P < 0.01). The percent of poorly differentiated CRCs remained stable in age group I. In age groups II and III a decline over time was observed, 25.1% of the patients were diagnosed with a poorly differentiated CRC in age group II between 1989 and 2004 and declined to 17.4% between 2005 and 2018 (P = 0.05) and in age group III 20.3% had a poorly differentiated CRC between 1989 and 2004 and declined to 15.0% between 2005 and 2018 (P < 0.01). A higher proportion of patients had lymph nodes metastases after 2005 in all three age groups.
FIGURE 3

Proportion of female and male patients with colorectal cancer (CRC), rectum carcinomas, signet‐ring cell adenocarcinomas, poorly differentiated CRC and CRC with more than 7 positive lymph nodes over time divided into three age groups. *Significant difference

Proportion of female and male patients with colorectal cancer (CRC), rectum carcinomas, signet‐ring cell adenocarcinomas, poorly differentiated CRC and CRC with more than 7 positive lymph nodes over time divided into three age groups. *Significant difference

Overall survival outcome

Mean OS time was 6.3 years (SD 6.2). Overall 5‐year disease‐free survival rates were 60.9% in group I, 62.7% in group II, and 64.2% in group III. OS did not significantly differ between the three groups (P = 0.72) (Figure 4).
FIGURE 4

Overall disease‐free survival analyses in sporadic early‐onset colorectal cancer (EOCRC) patients per time period (1989‐2004 vs 2005‐2018) and per age group. *Significant difference

Overall disease‐free survival analyses in sporadic early‐onset colorectal cancer (EOCRC) patients per time period (1989‐2004 vs 2005‐2018) and per age group. *Significant difference A better survival rate was found for patients diagnosed with CRC between 2005 and 2018, with an overall 5‐year disease‐free survival rate of 65.8% vs 58.4% for patients diagnosed between 1989 and 2004 (P < 0.01; Figure 4).

DISCUSSION

This study presents a nationwide analysis of clinical and histopathological characteristics of CRC in patients <50 years of age over the past 30 years. Poorly differentiated tumours, presence of signet‐ring cells, and higher number of lymph node metastasis were significantly more prevalent in 20‐39 years old compared to the 40‐49 years old. Over time, a higher proportion of EOCRCs were diagnosed in women below the age of 30 years, while a higher proportion of tumours were located in the rectum in the older group, 30‐49 years old. OS was 6.3 years and improved over time. This is the first study to assess clinicopathological features between different age groups of true sporadic EOCRC patients, without obscuration of patients with LS‐CRC. Identification of EOCRC remains a major challenge and is expected to become more prevalent in the upcoming years. Insights about EOCRC both from a patient and tumour perspective may help to better recognise EORCC patients. The results from our study confirm the observations of two other studies from the US. In one study 55 EOCRC patients below the age of 40 years were compared to sporadic CRC patients older than 40 years of age. In the other US study, more than 36 000 patients were included. Both studies showed a higher prevalence of signet‐ring cell carcinomas and a higher proportion of tumours located in the left side of the colon or in the rectum in the youngest age group. , In addition, we found that sporadic EOCRC patients <40 years of age had more often lymph nodes metastases. Another study using the SEER 9 Registries concluded that EOCRC were more often found at an advanced stage and were more often mucinous carcinomas. However, in this study they were unable to exclude LS patients which may have biased the results. A consistent finding is that the incidence of rectal cancer in EOCRC patients increased over time. In a previous study, it was shown that the incidence of rectal cancer in patients <40 years of age over two time periods (1992‐1996 and 2010‐2014) increased from 2.7 per 100 000 to 4.4 per 100 000 patients. The incidence rates, however, of carcinoid carcinomas located in the rectum increased more steeply than adenocarcinomas. This may partly explain the rapid rise of rectal carcinomas, especially for those studies that did not assess cancers by histological subtypes. We found that a higher proportion of CRCs were diagnosed in women aged 20‐29 years old in more recent years. A true increase in incidence could however not be calculated because of the missing population numbers of women per time period. It is known that men are at greater risk for late‐onset CRC, but recent studies revealed that men also have a higher risk for EOCRC. , These studies however did not stratify by age or ethnicity. An American study for example found that rural Non‐Hispanic black women had the highest incidence rate ratios, which was primarily driven by colon cancers. Differences may possibly explained by differences in genetic make‐up and life style factors, such as obesity and red meat consumption, but does not fully explain the gender difference in EOCRC. More research is required, stratifying groups by age, ethnicity and tumour site (colon vs rectal cancer) to elucidate explanations that may better clarify gender differences in EOCRC. Furthermore, a remarkable finding was the decline of poorly differentiated EOCRC over time, while more positive lymph nodes were found over time. The latter could be explained by the fact that the evaluation of lymph nodes became a quality measure for colon cancer care, since the number of lymph nodes examined is positively associated with the survival of patients. Another explanation for the higher proportion of patients with positive lymph nodes could be the improved techniques to harvest lymph nodes, such as fat clearance. Our study included data on KRAS, NRAS and BRAF genes. KRAS is a common gene in CRC patients and has the ability to promote tumour proliferation and suppress differentiation. As biomarker, KRAS predicts response to anti‐EGFR therapies. , NRAS is less prevalent in CRC patients and are able to suppress apoptosis. BRAF genes are found in 7% of the tumours and is considered as a driver in the serrated pathway. Previous literature showed conflicting results regarding the prevalence of KRAS, NRAS and BRAF genes in EOCRC patients. A review from Italy included 46 articles, of which ten studies reported on prevalence of KRAS genes in EOCRC. Seven studies reported a lower prevalence of KRAS genes in EOCRC compared to older CRC patients, two studies showed a similar prevalence and one study had a higher prevalence. The prevalence of BRAF genes was reported to be similar among EOCRC compared to older patients. NRAS mutation prevalence in EOCRC patients was only reported in one study with a small patient population, they reported three NRAS mutations in 69 patients. Our results showed no difference in KRAS, NRAS and BRAF genes between the different EOCRC age groups. There is controversy around the prognosis of patients with sporadic EOCRC, varying from worse to better outcome compared to late‐onset CRC patients. , , , , The latter might be explained by the mixture with LS‐CRC patients in these studies. Although OS increased over time, our study observed no difference in OS between the age groups in EOCRC. The increased OS over time may be explained by improved diagnostic modalities and treatment options. But also more early diagnosis of CRC in time may have contributed to the increased survival. Unfortunately, we were not able to analyse the CRC specific mortality due to the retrospective design of this study. One could theorise that the low survival rate of EOCRC patients is the result of a patient‐ or doctor delay in diagnosing CRC, whereas for patients known with a hereditary disease awareness of CRC occurrence exists. Young patients seek medical attention at a later stage because they neglect their symptoms or delay seeking medical attention. Doctors may attribute the alarm symptoms of young patients with CRC to benign causes without further examination. However, some characteristics of sporadic EOCRC could not be subjected to patient or doctor delay, like gender, location of the tumour and type of histology. Therefore, it is reasonable that differences in tumour features suggestive of differences in tumourigenesis may play a role in clinical outcome. The question what is causing the histopathological changes is still unanswered. Previous studies on EOCRC have pooled the data of all CRC patients under the age of 40 or 50 years. , This study provides a more in‐depth clinical and histopathological characterisation of young adults with sporadic CRC aged 20‐29 years, 30‐39 years and 40‐49 years. We found that poor prognosis features of EOCRC were more prevalent in 20‐ to 29‐year‐old adults, followed by 30‐ to 39‐year‐old and less prevalent in 40‐ to 49‐year‐old adults. This makes a period effect resulting from external factors that equally affect all age groups at a particular time period less likely. In literature, it is hypothesised that the increased trend of EOCRC follows the pattern of a cohort effect where the youngest generation is more susceptible for the development of a different, more aggressive type of CRC. While CRC detected in adults aged 40‐49 years are more comparable to the CRC found in the general population with comparable clinical and pathological features. The cause of the cohort effect is still unknown. Possible risk factors may be the increasing prevalence of obese individuals in the last decades or alterations in gut microbiota due to a more frequent use of antibiotics. But also germline variants of multiple genes could be associated with increased EOCRC risk. One study revealed that EOCRC patients have unique molecular features, with less BRAF V600 mutations compared to patients with late‐onset CRC, and the presence of more subtypes of CMS1 and CMS2. Another study showed a high prevalence (16%) of germline mutations in patients with EOCRC. Both studies however included LS patients. A recent published study showed that EOCRC exhibits a different genetic risk compared to late‐onset CRC due to low‐penetrance common genetic polymorphisms, with a stronger association in patients without a CRC family history. Though genetic factors probably play a role in the increased risk of EOCRC, most likely multiple (risk) factors are involved. Strength of this study was the large nationwide database covering all patients diagnosed with CRC below the age of 50 years over the past 30 years in the Netherlands on which molecular analyses were performed. This study also has several limitations. First, the retrospective design of the study. This could have led to information and selection bias or misclassification of data. To ensure that LS patients were not included, we excluded all patients in who no molecular diagnostics was performed. Comparing the MSI tested group with the non‐tested group, significantly more women were molecularly tested for LS. This may have been caused by the fact that women had more often features of LS. Although we identified significant differences between the tested and non‐tested group, the clinical relevance of this selection bias is less clear than including all patients, including unidentified LS patients. Ideally, one would like to follow a cohort of young adults over a long period of time. Although prospective studies should be initiated, it takes time before conclusions can be drawn and recommendations are given. With the increase in EOCRC incidence in different parts of the world, it is important to gather information at this moment in order to understand this trend and attempt to reverse it. This large retrospective study will help to contribute to the understanding of EOCRC. Second, because of the retrospective design of this study, we had no access to data regarding risk factors (e.g. smoking status, obesity, use of antibiotics). Also, no information was available regarding family history and ethnicity. Third, no linear analyses overtime were possible due to the small sample size in the youngest age groups. To conclude, this study revealed clinicopathological differences within the groups defined as EOCRC in the last 30 years. The proportion of rectal cancer increased from the age of 30 years in more recent years, while in patients below the age of 30 years a higher proportion of CRC was found in females and characterised by a more frequent presence of signet‐ring cells and poor histological features. Clinicians should be aware of these differences in clinicopathological characteristics to optimise (early) detection and eventually targeted CRC treatment.

AUTHORSHIP

Guarantor of the article: M.C.W. Spaander. Author contributions FV: study concept and design, acquisition of data, analysis and interpretation of data, statistical analysis, drafting of the manuscript, critical revision of the manuscript; SN: analysis and interpretation of the data, drafting of the manuscript, critical revision of the manuscript; IN: critical revision of the manuscript; EK: critical revision of the manuscript, study supervision; MS: study concept and design, critical revision of the manuscript, study supervision. All authors approved the final version of the manuscript. Tables S1‐S2 Click here for additional data file.
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Journal:  Clin Colorectal Cancer       Date:  2015-07-30       Impact factor: 4.481

9.  Cumulative Burden of Colorectal Cancer-Associated Genetic Variants Is More Strongly Associated With Early-Onset vs Late-Onset Cancer.

Authors:  Alexi N Archambault; Yu-Ru Su; Jihyoun Jeon; Minta Thomas; Yi Lin; David V Conti; Aung Ko Win; Lori C Sakoda; Iris Lansdorp-Vogelaar; Elisabeth F P Peterse; Ann G Zauber; David Duggan; Andreana N Holowatyj; Jeroen R Huyghe; Hermann Brenner; Michelle Cotterchio; Stéphane Bézieau; Stephanie L Schmit; Christopher K Edlund; Melissa C Southey; Robert J MacInnis; Peter T Campbell; Jenny Chang-Claude; Martha L Slattery; Andrew T Chan; Amit D Joshi; Mingyang Song; Yin Cao; Michael O Woods; Emily White; Stephanie J Weinstein; Cornelia M Ulrich; Michael Hoffmeister; Stephanie A Bien; Tabitha A Harrison; Jochen Hampe; Christopher I Li; Clemens Schafmayer; Kenneth Offit; Paul D Pharoah; Victor Moreno; Annika Lindblom; Alicja Wolk; Anna H Wu; Li Li; Marc J Gunter; Andrea Gsur; Temitope O Keku; Rachel Pearlman; D Timothy Bishop; Sergi Castellví-Bel; Leticia Moreira; Pavel Vodicka; Ellen Kampman; Graham G Giles; Demetrius Albanes; John A Baron; Sonja I Berndt; Stefanie Brezina; Stephan Buch; Daniel D Buchanan; Antonia Trichopoulou; Gianluca Severi; María-Dolores Chirlaque; Maria-José Sánchez; Domenico Palli; Tilman Kühn; Neil Murphy; Amanda J Cross; Andrea N Burnett-Hartman; Stephen J Chanock; Albert de la Chapelle; Douglas F Easton; Faye Elliott; Dallas R English; Edith J M Feskens; Liesel M FitzGerald; Phyllis J Goodman; John L Hopper; Thomas J Hudson; David J Hunter; Eric J Jacobs; Corinne E Joshu; Sébastien Küry; Sanford D Markowitz; Roger L Milne; Elizabeth A Platz; Gad Rennert; Hedy S Rennert; Fredrick R Schumacher; Robert S Sandler; Daniela Seminara; Catherine M Tangen; Stephen N Thibodeau; Amanda E Toland; Franzel J B van Duijnhoven; Kala Visvanathan; Ludmila Vodickova; John D Potter; Satu Männistö; Korbinian Weigl; Jane Figueiredo; Vicente Martín; Susanna C Larsson; Patrick S Parfrey; Wen-Yi Huang; Heinz-Josef Lenz; Jose E Castelao; Manuela Gago-Dominguez; Victor Muñoz-Garzón; Christoph Mancao; Christopher A Haiman; Lynne R Wilkens; Erin Siegel; Elizabeth Barry; Ban Younghusband; Bethany Van Guelpen; Sophia Harlid; Anne Zeleniuch-Jacquotte; Peter S Liang; Mengmeng Du; Graham Casey; Noralane M Lindor; Loic Le Marchand; Steven J Gallinger; Mark A Jenkins; Polly A Newcomb; Stephen B Gruber; Robert E Schoen; Heather Hampel; Douglas A Corley; Li Hsu; Ulrike Peters; Richard B Hayes
Journal:  Gastroenterology       Date:  2019-12-19       Impact factor: 33.883

10.  Clinicopathological Features and Survival Outcomes of Colorectal Cancer in Young Versus Elderly: A Population-Based Cohort Study of SEER 9 Registries Data (1988-2011).

Authors:  Rui Wang; Mo-Jin Wang; Jie Ping
Journal:  Medicine (Baltimore)       Date:  2015-09       Impact factor: 1.817

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  2 in total

1.  Clinicopathological characteristics of early onset colorectal cancer.

Authors:  Fanny E R Vuik; Stella A V Nieuwenburg; Iris D Nagtegaal; Ernst J Kuipers; Manon C W Spaander
Journal:  Aliment Pharmacol Ther       Date:  2021-10-12       Impact factor: 9.524

Review 2.  Early-onset colorectal cancer: why it should be high on our list of differentials.

Authors:  Celine Garrett; Daniel Steffens; Michael Solomon; Cherry Koh
Journal:  ANZ J Surg       Date:  2022-04-21       Impact factor: 2.025

  2 in total

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