Literature DB >> 27577077

Alterations of lymph nodes evaluation after colon cancer resection: patient and tumor heterogeneity should be taken into consideration.

Xu Guan1,2, Wei Chen3, Shuai Li4, Zheng Jiang1, Zheng Liu1, Zhixun Zhao1, Song Wang1, Ming Yang2, Xishan Wang1,2.   

Abstract

Despite the adequacy of nodal evaluation was gradually improved for colon cancer (CC), rare attention has been paid for the effect of patient and tumor heterogeneity on nodal evaluation. We identified 109902 CC patients in stage I-III from Surveillance, Epidemiology, and End-Results (SEER) database during 2004-2013. The lymph nodes evaluations were separately assessed in different patient- and tumor-related features, including gender, age, T stage, histology, tumor differentiation, tumor size and tumor location. The 5-year cancer specific survival (CSS) was calculated with Kaplan-Meier method, log-rank tests were used to compare the differences of CSS in patients with ≥12 and <12 lymph nodes examined. Here, we identified features including gender, age, T stage, tumor differentiation, tumor size and location were independently associated with the median number of lymph node, the rate of ≥12 lymph nodes and the rate of node positivity of CC patients. We then divided CC patients into 29 subgroups according to different patient- and tumor-related features. The median number of lymph node presented a large variance from 12 to 24, the rate of ≥12 lymph nodes increased from 53.2% to 91.2% under the combined effect of patient and tumor heterogeneity. Furthermore, the positive association between increased lymph nodes count and improved survival couldn't be observed in 8261 CC patients with the effect of this heterogeneity. In conclusion, the tumor and patient heterogeneity lead to large alterations of nodal evaluation; we should pay more attention to this effect in clinical practice.

Entities:  

Keywords:  SEER; colon cancer; lymph nodes; patient features; tumor features

Mesh:

Year:  2016        PMID: 27577077      PMCID: PMC5308756          DOI: 10.18632/oncotarget.11633

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

The accurate tumor staging of colon cancer (CC) is closely based on adequate regional lymph node examined. Accumulating evidences have demonstrated that sufficient lymph nodes examined were necessary because of the association with lymph node positivity, the decision of postoperative chemotherapy and improved long-term outcome [1-4]. Consequently, The Union of International Cancer Control (UICC) and American Joint Committee on Cancer (AJCC) guidelines recommends that evaluation of at least 12 lymph nodes during CC resection, which has been considered as a quality indicator for CC care [5, 6]. Despite the adequacy of nodal evaluation was gradually improved for CC, the disparity in nodal examination still begs the question of whether the 12-node measure should be the optimal threshold for all CC patients. It was well recognized that the number of lymph node examined was highly influenced by several factors. Surgical strategy usually contributed a lot to the variability of node evaluation, the larger extent of the colectomy by surgeons could directly increases the number of lymph nodes examined [7, 8]. Furthermore, the adequacy of pathological evaluation by pathologists may also affect the number of lymph nodes examined [9]. Several pathological examination techniques, such as lymph node-revealing solution and fat clearance with alcohol and xylene, have all been deemed as the improving lymph node assessment [10]. In addition to surgical and pathological variance, patient and tumor heterogeneity also take nonnegligible effect in affecting lymph nodes examination and further treatment planning for CC patients, which suggest that the application of 12-node measure should fully consider the combined effect of the tumor- and patient-related features. The aims of this observational study were to establish for the first time to evaluate the effect of patient and tumor heterogeneity on nodal evaluation in a large-scale national cohort study. In this work, we firstly identify the patient- and tumor-related features that contribute to the variance of lymph nodes evaluation. Secondly, we evaluate the combined effect of the patient and tumor heterogeneity on nodal evaluation. Thirdly, we assess whether this heterogeneity influence the positive association between lymph nodes evaluation and the long-term survival.

RESULTS

Patient characteristics

From the SEER database, we totally identified 109902 CC patients including 56972 female and 52930 male. Patients aged 60-79 were accounted for 50.1% and patients aged 20-39 were only accounted for 2.2%. The proportion of patients in stage I was 23.3%, which was obviously smaller than patients in stage II (39.1%) and stage III (37.6%). 60.9% of patients had T3 primary tumor, the tumor size in 54.0% of patients was 2-5cm, and 71.6% was grade II. Additionally, only 10.7% of patients were diagnosed with mucous cancer, compared with 88.7% of adenocarcinoma. 37.5% underwent segmental resection and 60.0% underwent hemicolectomy. 76.3% of patients examined more than 12 lymph nodes. The detailed characteristic information was shown in Table 1.
Table 1

Characteristics of all CC patients in the SEER database: 2004-2013

CharacteristicsNo. of PatientsPercent
Gender
 Female5697251.8%
 Male5293048.2%
Age
 20-3924252.2%
 40-592600823.7%
 60-795508750.1%
 ≥802638224.0%
Calendar year
 2004-20085616751.1%
 2009-20135373548.9%
Stage
 Stage I2560623.3%
 Stage II4296739.1%
 Stage III4132937.6%
T stage
 T11152410.5%
 T21907317.4%
 T36692960.9%
 T41237611.2%
Tumor size (cm)
 0-21479713.5%
 2-55936354.0%
 ≥53574232.5%
Grade
 Grade I97898.9%
 Grade II7873971.7%
 Grade III1901817.3%
 Grade IV23562.1%
Histology
 Adenocarcinoma9748488.7%
 Mucous cancer1172510.7%
 Others6930.6%
Location
 Right colon6863862.5%
 Left colon4126437.5%
Treatment
 Segmental resection4121737.5%
 Hemicolectomy6597960.0%
 Others27062.5%
Lymph nodes examined
 <12 lymph nodes2606823.7%
 ≥12 lymph nodes8383476.3%

Comparisons of median number of lymph nodes examined

The median number of lymph nodes was 17.8 in all CC patients. We compared the median number of lymph nodes among different features (Figure 1). The female patients examined 18.0 lymph nodes, which was more than male patients (17.6) (P<0.001). The number of lymph nodes gradually decreased from 25.2 to 16.5 with age increasing (P<0.001). With the deeper tumor invasion, more lymph nodes could be examined from 14.8 to 18.7 (P<0.001). With tumor size increased, more lymph nodes were examined (P<0.001). Patients in grade III and IV examined more lymph nodes compared with the patients in grade I and II (P<0.001). Adenocarcinoma examined 17.7 lymph nodes, which was less than other histology types. Right-side CC examined 18.8 nodes, whereas left-side CC examined 16.2 (P<0.001). Hemicolectomy had a harvest of 18.8 lymph nodes, segmental resection only examined 15.9 lymph nodes (P<0.001).
Figure 1

The median number of lymph nodes examined according to different patient- or tumor-related features

HC: hemicolectomy; SR: segmental resection.

The median number of lymph nodes examined according to different patient- or tumor-related features

HC: hemicolectomy; SR: segmental resection.

Comparisons of the rate of ≥12 lymph nodes and the rate of node positivity

Then, the rate of ≥12 lymph nodes and the rate of node positivity were compared among different features (Figure 2). With the age increased, the rate of ≥12 lymph nodes and the rate of node positivity were obviously decreased (P<0.001). The rates of ≥12 lymph nodes and the rate of node positivity increased with higher T stage, poorer tumor differentiation and larger tumor size (P<0.001). Compared with left-side CC patients, right-side CC patients were more frequently examined with ≥12 lymph nodes but less frequently examined positive node (P<0.001). The rate of ≥12 lymph nodes for patients underwent hemicolectomy was 80.6%, which was significantly higher than segmental resection (69.0%) (P<0.001). In contrast, the rate of node positivity for patients underwent hemicolectomy was only 36.5%, which was unexpectedly lower than segmental resection (37.4%) (P<0.001).
Figure 2

The rate of ≥12 lymph nodes examined and the rate of node positivity according to different patient- or tumor-related features

HC: hemicolectomy; SR: segmental resection.

The rate of ≥12 lymph nodes examined and the rate of node positivity according to different patient- or tumor-related features

HC: hemicolectomy; SR: segmental resection. In addition, multivariate analysis showed that female, younger patients, higher T stage, larger tumor size, poorer tumor differentiation, mucous cancer, right-side CC and hemicolectomy were independently associated with ≥12 lymph nodes examined (Table 2).
Table 2

Multivariate logistic regression analysis of obtaining ≥12 lymph nodes in CC patients

Odds ratio95% CIP
GenderFemale1<0.001
Male0.8800.854-0.906
Age20-391<0.001
40-590.5160.448-0.594
60-790.3530.307-0.406
≥800.2760.240-0.317
T stageT11<0.001
T21.3671.290-1.448
T31.4151.297-1.544
T41.1331.029-1.248
Tumor size (cm)0-21<0.001
2-51.3571.286-1.431
≥52.2792.149-2.417
GradeGrade I1<0.001
Grade II1.1471.091-1.206
Grade III1.2051.133-1.282
Grade IV1.3791.208-1.574
HistologyAdenocarcinoma1<0.001
Mucous cancer0.8980.854-0.943
Others0.9260.748-1.146
LocationRight colon1<0.001
Left colon0.6070.586-0.629
TreatmentSegmental resection1<0.001
Hemicolectomy1.4981.447-1.552
Others1.6401.480-1.818

Effect of patient and tumor heterogeneity on nodal evaluation

To further observe the effect of tumor- and patient-related feature on nodal evaluation, we then divided patient into 32 subgroups based on five categorical variables, including age (<60 and ≥60), T stage (T1/T2 and T3/T4), tumor grade (grade 1/2 and grade 3/4), tumor location (right colon and left colon), tumor size (<5cm and ≥5cm). Three subgroups including less than 100 patients were ignored in further analysis to confirm the statistical accuracy. We reorder the subgroup number according to the median number of lymph nodes examined. The detailed subgroup information was listed in Table 3. The median number of lymph nodes, the rate of ≥12 lymph nodes and the rate of node positivity were separately calculated for each subgroup. With the effect of patient- and tumor-related features, the median number of lymph node increased from 12 to 24 (Figure 3). The large variation of rate of ≥12 lymph nodes was also found among those 29 subgroups, increasing from 53.2% to 91.2%, the trend was similar with the median number of lymph node examined. However, the rate of node positivity changed within a large variation in different subgroups, and trend of the rate was not related to the number of lymph nodes examined. This result showed a large variance of nodal evaluation under the effect of patient and tumor heterogeneity, suggesting that 12-node measure may not be equally required for all CC patients in the consideration of this large variation among different subgroups. The effect of this heterogeneity played a crucial role in lymph nodes evaluation.
Table 3

Patient- or tumor-related features of CC patients in 29 subgroups

Group numberAge (Years)T stageTumor gradeLocationTumor size (cm)No. of patientsMedian of nodes
1≥60T1-T2Grade I-IILeft0-5618012.8
220-60T1-T2Grade III-IVLeft0-533214.0
3≥60T1-T2Grade III-IVLeft0-553614.2
420-60T1-T2Grade I-IILeft0-5328414.6
5≥60T3-T4Grade I-IILeft0-5983614.8
6≥60T3-T4Grade III-IVLeft0-5164515.5
7≥60T3-T4Grade III-IVRight0-5422915.7
8≥60T3-T4Grade I-IIRight0-51489815.9
9≥60T1-T2Grade I-IIRight0-51126816.2
10≥60T1-T2Grade I-IILeft≥583216.4
11≥60T1-T2Grade III-IVRight0-5139116.8
1220-60T3-T4Grade I-IILeft0-5478917.1
13≥60T1-T2Grade I-IIRight≥5234217.8
14≥60T3-T4Grade I-IILeft≥5651217.8
15≥60T3-T4Grade III-IVLeft≥5131317.9
1620-60T3-T4Grade III-IVRight0-591918.2
1720-60T3-T4Grade III-IVLeft0-588118.3
1820-60T1-T2Grade III-IVRight0-525918.9
1920-60T1-T2Grade I-IILeft≥547519.0
2020-60T1-T2Grade I-IIRight0-5250119.1
21≥60T3-T4Grade I-IIRight≥51328419.4
22≥60T3-T4Grade III-IVRight≥5675819.9
23≥60T1-T2Grade III-IVRight≥538920.3
2420-60T3-T4Grade I-IILeft≥5375620.7
2520-60T3-T4Grade I-IIRight0-5356421.0
2620-60T1-T2Grade I-IIRight≥563322.1
2720-60T3-T4Grade III-IVLeft≥579922.3
2820-60T3-T4Grade I-IIRight≥5437423.7
2920-60T3-T4Grade III-IVRight≥5174824.0
Figure 3

The variances of nodal evaluation of CC patients in 29 subgroups

Effect of patient and tumor heterogeneity on the association between the nodal evaluation and 5-year CSS

Despite adequate lymph node evaluation lead to improved prognosis for CC patients, the effect of patient and tumor heterogeneity on the association between nodal evaluation and survival was unclear. We compared the difference of 5-year CSS between patient with≥12 and <12 lymph nodes in 29 subgroups. Taken as a whole, the 5-year CSS for patients with≥12 lymph nodes was 70.0%, which was significantly higher than patient with <12 lymph nodes (62.7%) (Figure 4). Interestingly, in separate analysis of 29 subgroups, we failed to observe the significant survival difference in subgroups of 3, 4, 10, 19, 20 and 26, totally including 8261 CC patients (Figure 5). This result might imply that despite increased lymph node yields lead to improved survival for CC patients, this association might not exist for some patients in the consideration of patient and tumor heterogeneity.
Figure 4

The comparison of 5-year CCS between patients with <12 and ≥12 lymph nodes examined

Figure 5

The comparisons of 5-year CCS between patients with <12 and ≥12 lymph nodes examined in 6 subgroups

DISSCUSION

The adequacy of the surgical resection and pathology examination was considered as potentially modifiable influential features for the completeness of lymph node assessment. However, the effect of patient- and tumor-related features also plays a nonnegligible role in nodal evaluation, which could not be altered by surgeons and pathologist. In this work, we found that the median number of lymph nodes changed within a large variation from 12 to 24, the rate of ≥12 lymph nodes was also found increasing from 53.2% to 91.2% in different subgroups. These large variances were mostly attributed to the patient and tumor heterogeneity. In this study, we identified seven patient- or tumor-related features that contributed to the large variation of lymph node examined, including gender, age, tumor location, tumor differentiation, tumor invasion, tumor size and histology. These features were presented with a combined effect on the lymph node evaluation (Figure 6); they were associated with inherent differences that should be considered when comparing different patient populations. As we known, adjuvant chemotherapy is regularly recommended for selected stage II CC patients who have a harvest of <12 lymph nodes, which is considered as inadequate resection. The patient and tumor heterogeneity might indirectly determine the adjuvant chemotherapy according to variance of lymph node evaluation (Figure 6). For example, the patients with grade IV, aged 20-40, larger tumor size and right-side CC positively associated with the increasing number of lymph nodes evaluation, which could make them easy to obtain ≥12 lymph nodes and to avoid adjuvant chemotherapy. In contrast, it is hard to examine ≥12 lymph nodes for patient with grade I, aged >60, small tumor size and left-side CC, which could lead to increased probability of getting adjuvant chemotherapy for them. Thus, the effect of patient- or tumor-related features may be account for the change of prognosis for some stage II CC patients based on the number of lymph nodes evaluated. Of course, this disparity in nodal examination also begs the question of whether 12-nodes measure is appropriate for all CC patients.
Figure 6

The effect of modifiable and unmodifiable features on the number of lymph nodes examined and survival in CC patients

The 12-node measure is currently applied as a clinical eligibility criterion for both lymph node resection and pathological examination for CC [11], and it emphasized the critical role of both extent of lymph node retrieval and the accuracy of nodal evaluation, not only regarding to staging accuracy, but also planning further treatment and determining prognosis. Due to the widespread application of the 12-node measure, an increasing number of lymph node was observed in previous studies [4, 12–15]. In our study, we found the median number of lymph node examined was 16.4 during the period of 2004 to 2008, which was obviously increased to 19.4 in the period of 2009-2013. However, the rate of node positivity conversely decreased from 37.1% to 36.8%. This result showed increasing lymph nodes evaluation was not contribute to higher rate of node positivity and improved staging accuracy. The quality of surgical resection plays a critical role in lymph nodes evaluation. An adequate specimen is composed of the segment of bowel containing the tumor, its associated mesentery and complete resection of draining lymph node of the primary tumor [8, 16, 17]. Here, we found that hemicolectomy were associated with higher number of lymph nodes examined compared with segmental resection for CC (HC vs SR: 18.8 vs 15.9), but this larger resection manner could not lead to higher rate of positive node (HC vs SR: 36.5% vs 37.4%). Good performance by surgeons and pathologists give rise to increased lymph node yields, but the non-modifiable features, such as patient- and tumor-features, could also influence the rate of node positivity and the accuracy of staging (Figure 6). It also implied that techniques might increase the lymph node count, but may not change the underlying nature of the disease. Adequate lymph node evaluation for cancer involvement is crucial for prognosis of CC patients. Numerous studies have suggested that an adequate lymph node evaluation contributed to increased long-term survival [2, 18–21]. One systematic review of 17 studies from 9 countries, including five population-based observational studies, two multicenter randomized trials of adjuvant chemotherapy for CC, and 10 single-institution retrospective cohort studies, have suggested that the number of lymph nodes evaluated after surgical resection was positively associated with survival of patients with stage II and stage III CC. Despite heterogeneity in cutpoint numbers of lymph nodes evaluated, 4 of 6 studies concluded that increased survival of patients with stage III CC was associated with increased numbers of lymph nodes evaluated. 16 of 17 studies with data from stage II patients also showed a positive association with survival among patients with stage II CC [18]. In our study, the results also showed that a 7% higher 5-year CSS for all patients with ≥ 12 lymph nodes compared with <12 lymph nodes. In the consideration of this result, we need to distinguish this association from causality. Increased lymph node yields show an association with survival, but do not cause it. It is established that lymph node yields are multifactorial, influenced by a combination of not only surgical, pathological factors, but also patient- and tumor-related features [22, 23]. Accordingly, with the combined effect of patient and tumor heterogeneity, the positive association between the increased number of lymph nodes count and the improved survival could not be observed in some of CC patients. Although the strengths of this work including large sample size, many concerned issues should be carefully explained. Firstly, tumor heterogeneity may not only include clinical and pathological features, but also involve molecular characteristics of cancer. However, the influence of molecular characteristics on lymph node evaluation is still unclear, and the SEER database lacked molecular information of cancer patients. Therefore, this work could not provide the effect of tumor molecular feature on lymph node evaluation of CC patients. Secondly, the SEER database collected cancer data from population-based cancer registries, which lead to large variations of pathologic techniques for detecting lymph nodes from 2004 to 2013. Although the pathologic techniques could influence lymph node staging in CC patients, we failed to obtain the related information and perform analyses in this large population-based study. Thirdly, it is impossible to provide a fixed node number to meet all variations of lymph node evaluation that caused by patient- and tumor-related features. However, an appropriate node number must be applied as the standard requirements for pathologic examination and quality of surgery in current clinical practice. At present, the 12-node measure may be considered as one feasible solution for this complex issue. In conclusion, the lymph node evaluation of CC patients was closely associated with the effect of patient and tumor heterogeneity. The indicator of 12-node measure does not only reflect the quality of surgery and pathological evaluation, but also involve this heterogeneity. It is necessary to pay more attention to the effect of tumor and patient heterogeneity on nodal evaluation and treatment planning of CC patients.

MATERIALS AND METHODS

Data resources

We extracted cancer data from the Surveillance, Epidemiology, and End Results (SEER) database [24]. The SEER collected and published the cancer incidence, treatment and survival from 17 population-based cancer registries, which covered approximately 28 percent of the US population. The SEER database is considered to be the representative of the US population as a whole. The SEER database is an openly accessed database, cancer cases and population information could be obtained from the SEER. Data collected from the SEER database do not require informed patient consent, because they were anonymized and de-identified prior to release. We have got permission to access the cancer data from the SEER database by National Cancer Institute, and the reference number was 10249-Nov2015. This study was approved by the Second Affiliated Hospital of Harbin Medical University institutional review board.

Study population

We identified patients older than 20 years who were diagnosed their first invasive CC in stage I to stage III from January 1, 2004 to December 31, 2013. The tumor staging was conducted according to the American Joint Commission on Cancer (AJCC TNM) (6th edition) staging system. Patients included in this study should undergo curative resection of CC as the first course of therapy, which were more available and accurate for the lymph node evaluation. Excluded criteria included patients who dead due to other causes, patients with an unknown number of nodes examined, patients who received preoperative radiotherapy and patients who underwent a local procedure or total colectomies.

Patient- or tumor-related features

Patient features (gender, age at diagnosis), tumor features (AJCC stage, T stage, histology, grade, tumor size, tumor location, number of lymph nodes examined), year of diagnosis and surgical strategy were included in this study. The patients were divided into four age subgroups: 20-39 years, 40-59 years, 60-79 years and ≥80 years. Tumor size was classified as three subgroups: 0-2 cm, 2-5 cm and ≥5 cm. Histology included adenocarcinoma, mucous cancer and others. Tumor location included right-side CC and left-side CC, right-side CC was located proximal to the splenic colonic flexure, left-side CC from the splenic colonic flexure to the rectosigmoid junction. Surgical strategy was categorized as segmental resection, hemicolectomy and other procedures. Examining ≥12 lymph nodes was considered as adequate nodal evaluation, <12 lymph nodes was defined as poor node retrieval.

Statistical analysis

The differences of lymph nodes evaluations were compared among each of patient- or tumor-related features in three ways: 1) Median number of lymph node examined. 2) Rate of ≥12 lymph nodes examined. 3) Rate of node positivity. All categorical variables were compared between groups using χ2 test. The logistic regression model was performed to estimate the factors that associated with the odds ratio (OR) of the number of lymph nodes examined (<12 vs ≥12) and exact 95% confidence intervals (CIs). Furthermore, the 5-year cancer specific survival (CSS) was calculated with Kaplan-Meier method, log-rank tests were used to compare the differences of CSS curves between patients with <12 and ≥12 lymph nodes examined. P<0.05 (two sides) was considered to be statistical significance. The statistical analyses were performed by using SPSS statistical software, version 20 (IBM Corp, Armonk, NY, USA).
  24 in total

1.  Ethnicity influences lymph node resection in colon cancer.

Authors:  Molly M Cone; Kelsea M Shoop; Jennifer D Rea; Kim C Lu; Daniel O Herzig
Journal:  J Gastrointest Surg       Date:  2010-08-17       Impact factor: 3.452

2.  An evaluation of the relationship between lymph node number and staging in pT3 colon cancer using population-based data.

Authors:  Nancy N Baxter; Rocco Ricciardi; Marko Simunovic; David R Urbach; Beth A Virnig
Journal:  Dis Colon Rectum       Date:  2010-01       Impact factor: 4.585

3.  Methylene blue-assisted lymph node dissection technique is not associated with an increased detection of lymph node metastases in colorectal cancer.

Authors:  Bruno Märkl; Tina Schaller; Ines Krammer; Claudio Cacchi; Hans M Arnholdt; Gerhard Schenkirsch; Hallie Kretsinger; Matthias Anthuber; Hanno Spatz
Journal:  Mod Pathol       Date:  2013-04-19       Impact factor: 7.842

Review 4.  Lymph node evaluation and survival after curative resection of colon cancer: systematic review.

Authors:  George J Chang; Miguel A Rodriguez-Bigas; John M Skibber; Virginia A Moyer
Journal:  J Natl Cancer Inst       Date:  2007-03-21       Impact factor: 13.506

5.  Number of lymph nodes examined and prognosis of TNM stage II colorectal cancer.

Authors:  Leopoldo Sarli; Giovanni Bader; Domenico Iusco; Carlo Salvemini; Davide Di Mauro; Antonio Mazzeo; Gabriele Regina; Luigi Roncoroni
Journal:  Eur J Cancer       Date:  2005-01       Impact factor: 9.162

6.  Colorectal cancer pathology reporting: a regional audit.

Authors:  A D Bull; A H Biffin; J Mella; A G Radcliffe; J D Stamatakis; R J Steele; G T Williams
Journal:  J Clin Pathol       Date:  1997-02       Impact factor: 3.411

7.  Lymph node counts, rates of positive lymph nodes, and patient survival for colon cancer surgery in Ontario, Canada: a population-based study.

Authors:  Luke Bui; Eddy Rempel; Dana Reeson; Marko Simunovic
Journal:  J Surg Oncol       Date:  2006-05-01       Impact factor: 3.454

Review 8.  Assessment of lymph node involvement in colorectal cancer.

Authors:  Mark L H Ong; John B Schofield
Journal:  World J Gastrointest Surg       Date:  2016-03-27

9.  Are high-volume surgeons and hospitals the most important predictors of in-hospital outcome for colon cancer resection?

Authors:  Clifford Y Ko; John T Chang; Saima Chaudhry; Gerald Kominski
Journal:  Surgery       Date:  2002-08       Impact factor: 3.982

10.  Adequacy of nodal harvest in colorectal cancer: a consecutive cohort study.

Authors:  Paul M Johnson; Dickram Malatjalian; Geoff A Porter
Journal:  J Gastrointest Surg       Date:  2002 Nov-Dec       Impact factor: 3.267

View more
  5 in total

1.  Predicting survival time of lung cancer patients using radiomic analysis.

Authors:  Ahmad Chaddad; Christian Desrosiers; Matthew Toews; Bassam Abdulkarim
Journal:  Oncotarget       Date:  2017-11-01

2.  Prognostic impact of the number of lymph nodes examined in different stages of colorectal mucinous adenocarcinoma.

Authors:  Yong Ma; Yiqian Luo; Nan Lin; Yongzhu Lv; Yang Zhou; Bing Li; Kunna Han; Song Jiang; Jianjun Gao
Journal:  Onco Targets Ther       Date:  2018-06-25       Impact factor: 4.147

3.  CT-Based Radiomics Signature: A Potential Biomarker for Predicting Postoperative Recurrence Risk in Stage II Colorectal Cancer.

Authors:  Shuxuan Fan; Xiaonan Cui; Chunli Liu; Xubin Li; Lei Zheng; Qian Song; Jin Qi; Wenjuan Ma; Zhaoxiang Ye
Journal:  Front Oncol       Date:  2021-03-19       Impact factor: 6.244

4.  Comparison of long-term outcome between hemicolectomy and partial colectomy in the elderly: a large population-based study.

Authors:  Xu Guan; Hanqing Hu; Wei Chen; Zheng Jiang; Zheng Liu; Zhixun Zhao; Yinggang Chen; Guiyu Wang; Xishan Wang
Journal:  Oncotarget       Date:  2017-04-10

5.  Whether partial colectomy is oncologically safe for patients with transverse colon cancer: a large population-based study.

Authors:  Xu Guan; Zhixun Zhao; Ming Yang; Haipeng Chen; Wei Chen; Zheng Liu; Zheng Jiang; Yinggang Chen; Guiyu Wang; Xishan Wang
Journal:  Oncotarget       Date:  2017-09-26
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.