Abstract
Background
To determine the prognostic relevance of neuroendocrine differentiation in poorly differentiated colorectal cancer.
Methods
The clinicopathological features and survival of 70 patients with poorly differentiated colorectal cancer were analyzed retrospectively. Chromogranin A and synaptophysin were used as neuroendocrine markers. Patients were followed-up for more than 3 years or until death.
Results
Of these 70 patients, 36 showed neuroendocrine differentiation. In univariate prognostic analysis, the patients with lymph node metastasis (P < 0.001), advanced TNM stage (P < 0.001), and neuroendocrine differentiation (P = 0.003) tended to have a poor prognosis. However, only lymph node metastasis was associated with a poor prognosis in multivariate analysis (P < 0.001). Patients with neuroendocrine differentiation were associated with lymph node metastasis (P = 0.006).
Conclusions
Neuroendocrine differentiation in poorly differentiated colorectal cancer was not a direct prognostic factor in these patients. Lymph node metastasis was a direct prognostic factor in these patients. Patients with neuroendocrine differentiation were associated with lymph node metastasis.
Keywords: Poorly differentiated colorectal cancer, Neuroendocrine differentiation, Lymph node metastasis, Prognosis
Background
Neuroendocrine differentiation (NED) has been observed in cancers of several non-neuroendocrine organs, including the gastrointestinal tract. Many studies have evaluated the clinical prognostic value of NED in colorectal cancer (CRC). However, conflicting data exist in these studies. In the study by Mori et al. [1], NED did not influence patient prognosis. Similarly, Lloyd et al. [2] showed that, in 289 patients, NED did not influence prognosis in moderately differentiated colorectal carcinomas. In contrast, in recent years, studies have revealed that NED does influence patient prognosis. Bernick et al. [3] studied 38 CRC patients with NED and found that the prognosis of these patients was poor. Similar findings were reported in a meta-analysis by Zeng et al. [4]. Intriguingly, some studies have indicated that CRC with NED was correlated with liver metastasis and advanced tumor stages [3, 5].
Poorly differentiated colorectal cancer (PDCRC) comprises 5 to 25% of all CRCs [6–9]. It is known that PDCRC is usually associated with a poor prognosis. NED is often found in PDCRC [5]. The prognosis of PDCRC with NED is currently still unclear. Here, we preliminarily studied whether NED was a prognostic factor in patients with PDCRC.
Methods
Patients
Between 2008 and 2012, 70 patients with primary PDCRC who underwent radical resection were analyzed retrospectively. All patients with TNM II and III tumors, according to the 7th edition of the American Joint Committee on Cancer/Union International control Cancer (AJCC/UICC) tumor-node-metastasis (TNM) staging system, received adjuvant therapy after surgery. Histology specimens were evaluated by two senior pathologists, and the diagnosis of PDCRC was confirmed in all patients. Patients who died perioperatively and those with distant organ metastasis or secondary malignancy were excluded.
Immunohistochemistry
Hematoxylin and eosin-stained specimens from each patient were available for review. In addition, each specimen was analyzed for the biological markers of NED, synaptophysin (Syn), and chromogranin A (CgA) by immunohistochemistry. The number of Syn or CgA immunoreactive cells was determined using an eyepiece at high-power field (HPF). Immunoreactive cells were counted in at least ten most concentrated areas of tumor cells, and the results were presented as the mean number of immunoreactive cells per HPF. When no immunoreactive tumor cells for CgA and Syn were noted in all tumor fields, the tumor was classified as NED(−). Moreover, when ≥1 tumor cells/HPF were positive for CgA and/or Syn, the tumor was classified as NED(+) [10–12]. Furthermore, NED(+) tumors were assigned to three subgroups based on the presence of immunoreactive cells per HPF: subgroup 1(SG1) had less than 10% immunoreactive cells of the total number of cells per HPF; subgroup 2(SG2) had 10–20% immunoreactive cells; subgroup 3(SG3) had more than 20% immunoreactive cells. According to the 2010 World Health Organization (WHO) classification, specimens with more than 30% immunoreactive cells were classified as mixed adenoneuroendocrine carcinoma (MANEC), and these patients were excluded from the study.
Statistics
All statistical analyses were performed using SPSS (version 16.0). Pearson’s chi-squared test was used to investigate correlations of clinicopathological features between the NED(+) and NED(−) groups. Multivariate analysis was performed using logistic regression. Overall survival was assessed by the Kaplan-Meier method. Statistical significance between the survival curves of clinicopathological features was calculated by the log rank test. Significant variables were then examined by multivariate analysis using the Cox model. P values < 0.05 were considered statistically significant.
Results
General information
Seventy patients (36 males and 34 females) were diagnosed with PDCRC, including 36 (51.4%) NED(+) patients and 34 (48.6%) NED(−) patients. The mean age was 60.2 years (range: 36–86 years). Of these patients, 2 had stage I cancer, 17 had stage II, and 51 had stage III, which included 45 cases of colon cancer and 25 cases of rectal cancer. The median survival time of these patients was 47.656 months. Thirty-nine of 70 patients died during the follow-up period.
Prognostic factors of PDCRC
Survival analyses were based on 70 patients with complete follow-up data. Overall mean survival time was 47.656 months (95% confidence interval: 38.557–56.755) and 3-year overall survival (3-year OS) was 0.469 ± 0.060.
In these PDCRC cases, the patients with N stage(+) (P < 0.001), advanced TNM stage (P < 0.001), and NED(+) (P = 0.003) tended to have a poor prognosis(Fig. 1). However, there was no significant difference in 3-year OS in terms of age, gender, tumor location, lymph nodes retrieved ,and T stage (Table 1).
Table 1.
Clinicopathological factors | Univariate analysis | Multivariate analysis | |||
---|---|---|---|---|---|
Number(%) | 3-year OS | P value | P value | RR | |
Age | 0.330 | ||||
<65 years | 43(61.4%) | 0.510 ± 0.077 | |||
≥65 years | 27(38.6%) | 0.407 ± 0.095 | |||
Gender | 0.582 | ||||
Male | 36(51.4%) | 0.408 ± 0.083 | |||
Female | 34(48.6%) | 0.529 ± 0.086 | |||
Tumor location | 0.092 | ||||
Colon | 45(64.3%) | 0.503 ± 0.083 | |||
Rectum | 25(35.7%) | 0.315 ± 0.094 | |||
T stage | 0.373 | ||||
T1 + T2 | 5(7.1%) | 0.600 ± 0.219 | |||
T3 + T4 | 65(92.9%) | 0.459 ± 0.062 | |||
N stage | <0.001* | <0.001* | 3.028 | ||
N0 | 19(27.1%) | 0.895 ± 0.070 | |||
N1 + N2 | 51(72.9%) | 0.310 ± 0.065 | |||
TNM stage | <0.001* | 0.384 | |||
I | 2(2.9%) | NAa | |||
II | 17(24.3%) | 0.882 ± 0.078 | |||
III | 51(72.8%) | 0.310 ± 0.065 | |||
NED | 0.003* | 0.111 | |||
+ | 36(51.4%) | 0.272 ± 0.075 | |||
- | 34(48.6%) | 0.674 ± 0.081 |
*Indicated statistical significance (P < 0.05)
aNot applicable
In multivariate analysis using the Cox model, only lymph node metastasis (LNM) was associated with a poor prognosis (P < 0.001) (Table 1).
Moreover, by stratification analysis based on the degree of NED, we analyzed the prognosis of SGs1, 2, and 3. Interestingly, with the increasing presence of immunoreactive cells, the subgroup with higher expression tended to have a poor prognosis. However, this trend did not reach statistical significance (Fig. 2).
Clinicopathological features and neuroendocrine differentiation
Univariate analysis revealed that N stage (P = 0.010) and TNM stage (P = 0.018) had correlation with NED. Furthermore, in multivariate analysis, only N stage was associated with NED (P = 0.006). There was no significant association between NED and age, gender, tumor location, lymph nodes retrieved, and T stage (Table 2).
Table 2.
Clinicopathological factors | Number(%) | NED | Univariate analysis | Multivariate analysis | ||
---|---|---|---|---|---|---|
+(SG1, SG2, SG3) | – | P value | OR | |||
Age | 0.955 | |||||
<65 years | 43(61.4%) | 22(15, 6, 1) | 21 | |||
≥65 years | 27(38.6%) | 14(7, 6, 1) | 13 | |||
Gender | 0.816 | |||||
Male | 36(51.4%) | 19(14, 4, 1) | 17 | |||
Female | 34(48.6%) | 17(8, 8, 1) | 17 | |||
Tumor location | 0.943 | |||||
Colon | 45(64.3%) | 23(13, 9, 1) | 22 | |||
Rectum | 25(35.7%) | 13(9, 3, 1) | 12 | |||
Lymph nodes retrieved | 0.492 | |||||
<12 | 18(25.7%) | 8(6, 1, 1) | 10 | |||
≥12 | 52(74.3%) | 28(16, 11, 1) | 24 | |||
T stage | 0.669a | |||||
T1 + T2 | 5(7.1%) | 2(2, 0, 0) | 3 | |||
T3 + T4 | 65(92.9%) | 34(20, 12, 2) | 31 | |||
N stage | 0.010* | 0.006* | 2.391 | |||
N0 | 19(27.1%) | 5(5, 0, 0) | 14 | |||
N1 + N2 | 51(72.9%) | 31(17, 12, 2) | 20 | |||
TNM stage | 0.018b,* | 0.755 | ||||
I | 2(2.9%) | 0(0, 0, 0) | 2 | |||
II | 17(24.3%) | 5(5, 0, 0) | 12 | |||
III | 51(72.8%) | 31(17, 12, 2) | 20 |
aFisher’s exact test
bLikelihood radio
*Indicated statistical significance (P < 0.05)
Discussion
In a previous study, the incidence of NED in PDCRC was 41.5% [12]. In our study, the incidence was 51.4%, which was close to that in Liu’s study. Since NED is quite common in PDCRC, it is important to study the influence of NED in PDCRC patients.
There is controversy regarding the prognostic significance of NED in CRC [1–4, 13–15]. In our study, there were statistically significant differences in 3-year OS in terms of N stage, TNM stage, and NED in patients with PDCRC. Multivariate analysis indicated that N stage(+) was a significant negative prognostic factor for 3-year OS, which was not surprising as this parameter is a well-known marker with prognostic relevance [16–19]. In a previous study, de Bruine et al. [14] suggested that adenocarcinomas with NED tended to exhibit early LNM, which was similar to the results in our correlation analysis. We found that patients with NED were associated with LNM. Therefore, it may be deduced that NED, which might influent LNM, affected the prognosis of patients with PDCRC, rather than being a direct prognostic factor in these patients. In many studies, there were differences in the proportion of patients with LNM due to small sample sizes [1–4, 13–15]. Therefore, this may be the reason why there is controversy regarding the prognostic significance of NED in CRC. Moreover, the biological mechanisms underlying PDCRC with NED and metastasis remain unclear. It is known that neuroendocrine differentiated cells secrete neurohormonal substances by the autocrine or paracrine loop. In a previous study, biogenic amines and polypeptide hormones played a role in the growth regulation of normal and neoplastic intestinal epithelia [20]. Hypothetically, NED could stimulate growth and metastatic capacity through the secretion of neurohormonal substances.
Moreover, by further stratified analysis, we found that prognoses of three subgroups did not reach statistical significance. But, the subgroup with higher expression tended to have a poor prognosis. This might be due to small sample size in our study. Therefore, further investigations are required to confirm this hypothesis.
TNM staging is a classic staging method used to predict survival. However, with the development of molecular medicine, TNM staging may be less reliable in predicting survival, as shown in the research by Eschrich et al. They argued that molecular staging might provide an accurate prognosis for cancer patients [21]. Our data indicated that patients with NED were associated with LNM. Therefore, NED may be an important factor in molecular staging. Several studies had indicated that the neuroendocrine phenotype was associated with increased chemosensitivity in lung cancer [22, 23] and in colorectal cell lines [24]. Therefore, NED might also be helpful in the therapy of CRC. Further investigations are required in this area.
Conclusions
NED is a common event in PDCRC. NED in PDCRC is not a direct prognostic factor in these patients. LNM is a direct prognostic factor in these patients. Patients with NED were associated with LNM. Moreover, NED, which might influent LNM, affected the prognosis of patients with PDCRC. Further research on this important issue is required.
Acknowledgments
We would like to thank Dr Yongxi Song, at First Hospital of China Medical University, for critical revision.
Funding
This work was supported by the Natural Science Foundation of Liaoning Province (no: 2016003002).
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors’ contributions
YC made the statistics analysis and wrote the paper. FL managed the design, performed the operation, and modified the paper. QM performed the follow-up and collected the clinicopathological features of the patients. SM performed the correlation of clinicopathological factors and assisted with the survival analysis. All authors read and approved the final manuscript.
Competing interests
The authors declare that they have no competing interests.
Consent for publication
Not applicable.
Ethics approval and consent to participate
This study was approved by the Ethics Committee for Clinical Research of Liaoning Cancer Hospital & Institute.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abbreviations
- 3-year OS
3-year overall survival
- AJCC/UICC
American Joint Committee on Cancer/ Union for International Cancer Control
- CgA
Chromogranin A
- CRC
Colorectal cancer
- HPF
High-power field
- LNM
Lymph node metastasis
- MANEC
Mixed adenoneuroendocrine carcinoma
- NED
Neuroendocrine differentiation
- PDCRC
Poorly differentiated colorectal cancer
- SG1
Subgroup 1
- SG2
Subgroup 2
- SG3
Subgroup 3
- Syn
Synaptophysin
- TNM
Tumor-node-metastasis
- WHO
World Health Organization
References
- 1.Mori M, Mimori K, Kamakura T, Adachi Y, Ikeda Y, Sugimachi K. Chromogranin positive cells in colorectal carcinoma and transitional mucosa. J Clin Pathol. 1995;48:754–8. doi: 10.1136/jcp.48.8.754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Lloyd RV, Schroeder G, Bauman MD, Krook JE, Jin L, Goldberg RM, et al. Prevalence and prognostic significance of neuroendocrine differentiation in colorectal carcinomas. Endocr Pathol. 1998;9:35–42. doi: 10.1007/BF02739950. [DOI] [PubMed] [Google Scholar]
- 3.Bernick PE, Klimstra DS, Shia J, Minsky B, Saltz L, Shi W, et al. Neuroendocrine carcinomas of the colon and rectum. Dis Colon Rectum. 2004;47:163–9. doi: 10.1007/s10350-003-0038-1. [DOI] [PubMed] [Google Scholar]
- 4.Zeng YJ, Lai W, Liu L, Wu H, Luo XX, Wang J, et al. Prognostic significance of neuroendocrine differentiation in colorectal adenocarcinoma after radical operation: a meta-analysis. J Gastrointest Surg. 2014;18:968–76. doi: 10.1007/s11605-014-2480-x. [DOI] [PubMed] [Google Scholar]
- 5.Shinji S, Naito Z, Ishiwata T, Tanaka N, Furukawa K, Suzuki H, et al. Neuroendocrine cell differentiation of poorly differentiated colorectal adenocarcinoma correlates with liver metastasis. Int J Oncol. 2006;29:357–64. [PubMed] [Google Scholar]
- 6.Taniyama K, Suzuki H, Matsumoto M, Hakamada K, Toyama K, Tahara E. Flow cytometric DNA analysis of poorly differentiated adenocarcinoma of the colorectum. Jpn J Clin Oncol. 1991;21:406–11. [PubMed] [Google Scholar]
- 7.Cass AW, Million RR, Pfaff WW. Patterns of recurrence following surgery alone for adenocarcinoma of the colon and rectum. Cancer. 1976;37:2861–5. doi: 10.1002/1097-0142(197606)37:6<2861::AID-CNCR2820370643>3.0.CO;2-3. [DOI] [PubMed] [Google Scholar]
- 8.Copeland EM, Miller LD, Jones RS. Prognostic factors in carcinoma of the colon and rectum. Am J Surg. 1968;116:875–81. doi: 10.1016/0002-9610(68)90458-3. [DOI] [PubMed] [Google Scholar]
- 9.Chung CK, Zaino RJ, Stryker JA. Colorectal carcinoma: evaluation of histologic grade and factors influencing prognosis. J Surg Oncol. 1982;21:143–8. doi: 10.1002/jso.2930210302. [DOI] [PubMed] [Google Scholar]
- 10.Grabowski P, Schonfelder J, Ahnert-Hilger G, Foss HD, Heine B, Schindler I, et al. Expression of neuroendocrine markers: a signature of human undifferentiated carcinoma of the colon and rectum. Virchows Arch. 2002;441:256–63. doi: 10.1007/s00428-002-0650-9. [DOI] [PubMed] [Google Scholar]
- 11.Wiedenmann B, Franke WW, Kuhn C, Moll R, Gould VE. Synaptophysin: a marker protein for neuroendocrine cells and neoplasms. Proc Natl Acad Sci U S A. 1986;83:3500–4. doi: 10.1073/pnas.83.10.3500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Liu Y, Xu J, Jiao Y, Hu Y, Yi C, Li Q, et al. Neuroendocrine differentiation is a prognostic factor for stage II poorly differentiated colorectal cancer. Biomed Res Int. 2014; doi:10.1155/2014/789575. [DOI] [PMC free article] [PubMed]
- 13.Hamada Y, Oishi A, Shoji T, Takada H, Yamamura M, Hioki K, et al. Endocrine cells and prognosis in patients with colorectal carcinoma. Cancer. 1992;69:2641–6. doi: 10.1002/1097-0142(19920601)69:11<2641::AID-CNCR2820691104>3.0.CO;2-L. [DOI] [PubMed] [Google Scholar]
- 14.de Bruine AP, Wiggers T, Beek C, Volovics A, von MM, Arends JW, et al. Endocrine cells in colorectal adenocarcinomas: incidence, hormone profile and prognostic relevance. Int J Cancer. 1993;54:765–71. doi: 10.1002/ijc.2910540510. [DOI] [PubMed] [Google Scholar]
- 15.Vortmeyer AO, Lubensky IA, Merino MJ, Wang CY, Pham T, Furth EE, et al. Concordance of genetic alterations in poorly differentiated colorectal neuroendocrine carcinomas and associated adenocarcinomas. J Natl Cancer Inst. 1997;89:1448–53. doi: 10.1093/jnci/89.19.1448. [DOI] [PubMed] [Google Scholar]
- 16.Kim CH, Huh JW, Kim HR, Kim YJ. Prognostic comparison between number and distribution of lymph node metastases in patients with right-sided colon cancer. Ann Surg Oncol. 2014;21:1361–8. doi: 10.1245/s10434-013-3426-3. [DOI] [PubMed] [Google Scholar]
- 17.Le VTE, Sigurdson ER, Hanlon AL, Mayer RJ, Macdonald JS, Catalano PJ, et al. Colon cancer survival is associated with increasing number of lymph nodes analyzed: a secondary survey of intergroup trial INT-0089. J Clin Oncol. 2003;21:2912–9. doi: 10.1200/JCO.2003.05.062. [DOI] [PubMed] [Google Scholar]
- 18.Yasuda K, Adachi Y, Shiraishi N, Yamaguchi K, Hirabayashi Y, Kitano S. Pattern of lymph node micrometastasis and prognosis of patients with colorectal cancer. Ann Surg Oncol. 2001;8:300–4. doi: 10.1007/s10434-001-0300-5. [DOI] [PubMed] [Google Scholar]
- 19.Gunderson LL, Sargent DJ, Tepper JE, Wolmark N, O'Connell MJ, Begovic M, et al. Impact of T and N stage and treatment on survival and relapse in adjuvant rectal cancer: a pooled analysis. J Clin Oncol. 2004;22:1785–96. doi: 10.1200/JCO.2004.08.173. [DOI] [PubMed] [Google Scholar]
- 20.Johnson LR. Regulation of gastrointestinal mucosal growth. Physiol Rev. 1988;68:456–502. doi: 10.1152/physrev.1988.68.2.456. [DOI] [PubMed] [Google Scholar]
- 21.Eschrich S, Yang I, Bloom G, Kwong KY, Boulware D, Cantor A, et al. Molecular staging for survival prediction of colorectal cancer patients. J Clin Oncol. 2005;23:3526–35. doi: 10.1200/JCO.2005.00.695. [DOI] [PubMed] [Google Scholar]
- 22.Graziano SL, Mazid R, Newman N, Tatum A, Oler A, Mortimer JA, et al. The use of neuroendocrine immunoperoxidase markers to predict chemotherapy response in patients with non-small-cell lung cancer. J Clin Oncol. 1989;7:1398–406. doi: 10.1200/JCO.1989.7.10.1398. [DOI] [PubMed] [Google Scholar]
- 23.Carney DN, Mitchell JB, Kinsella TJ. In vitro radiation and chemotherapy sensitivity of established cell lines of human small cell lung cancer and its large cell morphological variants. Cancer Res. 1983;43:2806–11. [PubMed] [Google Scholar]
- 24.Park JG, Oie HK, Sugarbaker PH, Henslee JG, Chen TR, Johnson BE, et al. Characteristics of cell lines established from human colorectal carcinoma. Cancer Res. 1987;47:6710–8. [PubMed] [Google Scholar]
Associated Data
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Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.