Skip to main content

The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

Abstract

Background

Perineural invasion (PNI) is the invasion of nerves by cancer cells and is associated with poor survival in stage II colorectal cancer. However, PNI can be further subdivided according to the depth of invasion, and the depth of PNI has not been clearly linked to prognosis.

Method

This study aimed to assess the prognostic value of different depths of PNI in stage II colorectal cancer. We defined PNI in the submucosal plexus and myenteric plexus as superficial perineural invasion (sup-PNI) and PNI in the subserous plexus as deep perineural invasion (deep-PNI). Patients were divided into three groups based on the depth of PNI: sup-PNI, deep-PNI and non-PNI. Then, univariate and multivariate Cox regression analyses were conducted to evaluate the role of PNI in the prognosis of stage II colorectal cancer.

Results

This study enrolled 3508 patients with stage II colorectal cancer who underwent resection for primary colorectal lesions between January 2013 and September 2019. Clinicopathological features, including elevated carcinoembryonic antigen (CEA) levels, T4 stage, poor differentiation, deficient DNA mismatch repair (dMMR), and vascular invasion, were correlated with deep-PNI. Multivariate analyses revealed that deep-PNI was associated with worse overall survival (OS; hazard ratio [HR], 3.546; 95% confidence interval [CI], 2.307ā€“5.449; Pā€‰<ā€‰0.001) and disease-free survival (DFS; HR, 2.921; 95% CI, 2.032ā€“4.198; Pā€‰<ā€‰0.001), compared with non-PNI. Conversely, no significant difference in OS or DFS was observed between the sup-PNI and non-PNI groups in multivariate analyses.

Conclusions

The study demonstrated that the depth of PNI was an independent prognostic factor for patients with stage II colorectal cancer, and patients with deep PNI had a worse prognosis. Thus, patients with PNI require further subdivision according to the depth of invasion.

Peer Review reports

Introduction

Colorectal cancer (CRC) is the third most common cancer and second leading cause of cancer-related deaths worldwide [1]. Perineural invasion (PNI) is a common route of cancer spread in malignant diseases [2, 3]. Large-scale studies have identified PNI as a key pathological feature that adversely affects outcomes in both colon and rectal cancer [4,5,6,7]. PNI is defined as cancer cell invasion occurring within any layer of the nerve sheath or around the perineural space, at least one-third of the nerve circumference [8]. However, the current diagnostic criteria for PNI are limited, and PNI can be further subdivided based on the location within the three types of plexuses in the gut, namely the submucosal, myenteric, and subserous plexus, based on their anatomical structure [9]. Although previous studies have explored the effect of location-specific PNI on outcomes [10,11,12,13], these studies had the following limitations: (1) including CRC patients of various stages, (2) a small sample size of PNI patients, and (3) focusing on a mixture of factors beyond PNI, which could underestimate the role of PNI during stage II CRC. In particular, the presence of PNI indicates chemotherapy for stage II CRC [14, 15]. Thus, it is important to know how the depth of PNI affects the prognosis of stage II CRC who might need receive strict surveillance or further treatment. This study aimed to examine the relationship between the depth of PNI and prognosis in stage II CRC, which could discriminate these specific patients to receive strict surveillance or further chemotherapy.

Methods

Patients and data collection

This retrospective study was conducted at The Sixth Affiliated Hospital of Sun Yat-sen University and included 3508 patients who had undergone surgical resection for stage II CRC between January 2013 and September 2019. Patients were included if they met the following criteria: (1) diagnosed with stage II CRC according to the 8th edition of the American Joint Committee on Cancer (AJCC), (2) had undergone complete resection of the primary colorectal lesions, and (3) had pathology reports indicating the presence or absence of PNI. Patients were excluded if they had (1) insufficient follow-up information, (2) insufficient pathological information, (3) multiple primary malignant tumors.

All retrospective data were obtained from the Institutional Database Program of Colorectal Disease (IDPCD) at the Sixth Affiliated Hospital of Sun Yat-sen University. The following data were collected using the Electronic Medical Record System: age, sex, BMI, TNM stage (AJCC), degree of differentiation, presence of lymphovascular invasion, preoperative serum CEA levels, and harvested lymph nodes. After radical surgery, follow-up studies were performed every 3Ā months for 3Ā years, every 6Ā months for 5Ā years, and annually after 5Ā years, as recommended by the CSCO guidelines [16]. Follow-up included medical history, physical examination, routine blood tests, comprehensive biochemical examination, thoracic-abdominal-pelvic CT, and colonoscopy. The follow-up period ended in June 2022.

Histopathology

For each patient included in the study, original hematoxylin and eosin (H&E)-stained slides of the tumor (average 8 slides per case; range 2ā€“20 slides per case) were collected from the pathology department. All slides containing tumor were examined by two independent observers (H.C. and B.Z.) and reviewed by an experienced faculty pathologist (C.W.). In instances where there was any controversy in the results among the observers, the pathologist would make a collective conclusion. PNI was defined as cancer cell invasion occurring within any layer of the nerve sheath or around the perineural space, or at least one-third of the nerve circumference. Three types of PNI were differentiated based on anatomical position, namely PNI in the submucosal plexus, PNI in the myenteric plexus, and PNI in the subserous plexus, as shown in Fig.Ā 1. Patients with PNI in the submucosal plexus and those with PNI in the myenteric plexus were grouped as the superficial PNI (sup-PNI) group, while those with PNI in the subserous plexus were classified as the deep PNI (deep-PNI) group. Cases with both sup-PNI and deep-PNI were defined as deep-PNI.

Fig.Ā 1
figure 1

Hematoxylin and eosin staining of three types of perineural invasion. The arrow represents the tumor, and * represents the nerve. A PNI in the submucosal plexus. B PNI in the myenteric plexus. C PNI in the subserous plexus

Statistical analysis

In our study, overall survival (OS) was defined as the time from surgery to death due to any cause. Disease-free survival (DFS) was defined as the time interval between surgery and the date of imaging/endoscopic testing, revealing the presence of recurrence or death due to any cause. The baseline characteristics were compared using Fisherā€™s exact test and Pearsonā€™s chi-square test, depending on the nature of the data. Survival analysis was performed using the Kaplan-Meier method and the Cox proportional hazards model. The association of baseline characteristics with OS and DFS was first assessed using univariate Cox analysis, and parameters with Pā€‰<ā€‰0.05 were included in the final multivariate Cox regression model. Statistical significance was set at Pā€‰<ā€‰0.05. All statistical analyses were performed using the SPSS software (version 26.0; IBM, Armonk, NY, USA).

Results

Patient characteristics

A total of 3508 stage II CRC patients were included in the study, as shown in Supplementary Fig.Ā 1. Of these, 245 (7.0%) were classified into the sup-PNI group, 67 (1.9%) into the deep-PNI group, and 3196 (91.1%) into the non-PNI group. Table 1 summarizes the baseline characteristics of the patients stratified by the depth of PNI. Notably, patients with deep-PNI were more likely to exhibit elevated CEA levels, T4 stage, poor differentiation, dMMR, and vascular invasion (Pā€‰<ā€‰0.001).

TableĀ 1 Baseline characteristics of patients recruited in this study

Survival outcomes of the depth of PNI in Stage II CRC patients

The median overall follow-up was 46.7Ā months (95% CI, 45.8ā€“47.6). The 5-year OS rates in the non-PNI, sup-PNI, and deep-PNI groups were 87.8%, 86.4%, and 46.2%, respectively, as shown in Fig.Ā 2. Similarly, the 5-year DFS rates in the non-PNI, sup-PNI, and deep-PNI groups were 80.3%, 73.2%, and 36.1%, respectively, as demonstrated in Fig.Ā 3. When comparing the sup-PNI group and non-PNI group, univariate analysis showed no significant difference in OS (Pā€‰=ā€‰0.509), but DFS demonstrated a statistical difference (Pā€‰=ā€‰0.037). Nevertheless, the multivariate analysis did not reveal any statistical difference in OS (Pā€‰=ā€‰0.939) or DFS (Pā€‰=ā€‰0.140) between the two groups in TableĀ 2. After separating colon and rectal cancer, similar results were showed in Stage II colon or rectal patients in Supplementary Fig.Ā 2.

Fig.Ā 2
figure 2

Kaplanā€“Meier curves of overall survival analyses

Fig.Ā 3
figure 3

Kaplanā€“Meier curves of disease-free survival analyses

TableĀ 2 Univariate and multivariate Cox models evaluated the effect of the depth of PNI on OS and DFS in Stage II CRC patients

Univariate and multivariate analysis for OS was displayed in TableĀ 2 and Supplementary TableĀ 1. The univariate analysis demonstrated that patients in the deep-PNI group exhibited significantly worse OS compared to those in the non-PNI and sup-PNI groups (HR, 5.505; 95% CI, 3.685ā€“8.224; Pā€‰<ā€‰0.001). Furthermore, the multivariate analysis discovered that deep-PNI was an independent predictor of OS (HR, 3.546; 95% CI, 2.307ā€“5.449; Pā€‰<ā€‰0.001). Additional independent prognostic predictors of OS included ageā€‰<ā€‰50, male, BMIā€‰ā‰¤ā€‰24, elevated CEA and T4 levels, poor differentiation,Ā dMMR, vascular invasion, and the number of harvested lymph nodesā€‰ā‰¤ā€‰12.

The survival analysis for DFS was presented in TableĀ 2 and Supplementary TableĀ 2. The univariate analysis revealed that the deep-PNI group had a worse DFS (HR, 4.360; 95% CI, 3.095ā€“6.142; Pā€‰<ā€‰0.001). In addition, the multivariate analysis highlighted that deep-PNI was an independent predictor of DFS (HR, 2.921; 95% CI, 2.032ā€“4.198; Pā€‰<ā€‰0.001). Other independent prognostic predictors were rectal cancer, T4 stage, poor differentiation, dMMR, vascular invasion, and the number of harvested lymph nodesā€‰ā‰¤ā€‰12.

Prognostic analyses for T3 and T4 stages separately were displayed in Supplementary Fig.Ā 3. The results indicated that the depth of PNI is a prognostic factor for OS and DFS in both T3 and T4 stage. And the multivariate analysis in Supplementary Tables 3 and 4 revealed that deep-PNI emerges as an independent prognostic indicator for both OS and DFS in T3 stage, and an independent prognostic factor for OS in T4 stage.

Influence of the depth of invasion in PNI patients

To evaluate the impact of the depth of invasion on patients with PNI, a survival analysis of the sup-PNI and deep-PNI groups was conducted, and the results presented in TableĀ 3. Univariate analysis showed that deep PNI was a high-risk factor for OS (HR, 4.688; 95% CI, 2.673ā€“8.222; Pā€‰<ā€‰0.001) and DFS (HR: 3.171; 95% CI, 1.669ā€“6.025; Pā€‰<ā€‰0.001), compared to sup PNI. In the multivariate analysis, which was adjusted for other prognostic factors such as CEA, tumor location, T4, differentiation, dMMR, and vascular invasion, the depth of PNI was identified as an independent prognostic factor for OS (HR, 3.181; 95% CI, 2.059ā€“4.914; Pā€‰<ā€‰0.001) and DFS (HR, 2.817; 95% CI, 1.744ā€“4.549; Pā€‰<ā€‰0.001).

TableĀ 3 Univariate and multivariate Cox models evaluated the effect of the depth of PNI on OS and DFS in Stage II CRC patients with PNI

Influence of the depth of invasion in recurrence and metastasis

Recurrence and metastasis with the depth of PNI were represented in Supplementary TableĀ 5. The non-PNI group, sup-PNI group, and deep-PNI group showed 77 cases (2.4%), 3 cases (1.2%), and 3 cases (4.5%) of recurrence, respectively, with no significant difference among the three groups (Pā€‰=ā€‰0.260).

There were 294 cases (9.2%), 29 cases (11.8%), and 18 cases (26.9%) of postoperative metastasis in the non-PNI group, sup-PNI group, and deep-PNI group, respectively. With increasing depth of PNI, there was a significant increase in metastasis (Pā€‰<ā€‰0.001). After subdividing the metastatic sites in Supplementary TableĀ 6, it was found that the incidence of liver metastasis was relatively higher in the sup-PNI group. And the incidence of lung and other metastases was higher in the deep-PNI group.

To further investigate the risk factors for metastasis, we constructed a logistic regression model in Supplementary TableĀ 7. Univariate analysis showed that compared to non-PNI, deep-PNI significantly increased the risk of metastasis. Multivariate analysis further confirmed that deep-PNI is an independent risk factor for metastasis in stage II CRC patients. Other independent risk factors included T4 stage, poorly differentiated tumors, pMMR status, and harvested lymph nodesā€‰ā‰¤ā€‰12.

Discussion

PNI has been identified as one of the factors contributing to poor prognosis in stage II colorectal cancer [15,16,17,18]. However, few studies have focused on the differences in PNI based on the location of invasion within the intestinal tract. The intestinal tract comprises various layers, including the mucosal, muscular, and serosal layers, each containing different nerve plexuses with distinct shapes and functions [9]. Thus, when PNI occurs in different nerve plexuses, there may be variations in prognosis [12]. Therefore, we selected patients with stage II CRC to investigate the correlation between the depth of PNI and prognosis as well as to explore the differences in PNI based on its location within the different layers of the intestinal tract.

Upon subdividing patients with PNI into sup-PNI and deep-PNI groups, we observed that those in the deep-PNI group had a poorer prognosis compared to the sup-PNI group. This finding implies that infiltration of cancer cells into the subserous plexus may result in worse outcomes. In contrast, there was no statistical difference in survival between patients in the sup-PNI group and those in the non-PNI group, indicating that sup-PNI may not be a predictive factor for survival. Given that current guidelines recommend adjuvant therapy for patients with PNI [15, 16], patients with sup-PNI may be subjected to overtreatment as their survival rates are similar to those without PNI. Therefore, it is important to supplement the current PNI definition with the depth of invasion to provide a more accurate prognosis and treatment recommendation. And there is an urgent need for a new nerve-targeted therapy to improve the prognosis of stage II CRC patients with PNI, such as targeting CD51, CD74 and nerve growth factor [19,20,21,22].

Current guidelines and studies recommend PNI leads to a worse prognosis in stage II CRC [23,24,25], but do not distinguish the depth of PNI. We conducted a survival analysis that included several well-established high-risk factors for stage II CRC, such as T4, poor differentiation, vascular invasion, and the number of harvested lymph nodesā€‰<ā€‰12 [4, 15]. In the multivariate analysis of OS and DFS, we found that the depth of PNI was an independent prognostic factor. Thus, it may be necessary to revise the definition of high-risk factors for stage II CRC in the existing guidelines by specifying deep PNI, which could help distinguish the prognosis of patients.

The present study had some limitations that should be taken into account when interpreting the results. Firstly, as a single-center retrospective study, our findings may be limited by potential information bias and may not be generalizable to other populations. Secondly, we did not conduct immunostaining for neuropeptide markers in patient specimens [26], which may have affected the accuracy of the PNI classifications. Finally, due to the insufficient number of dMMR patients, it is difficult to explain the relationship between dMMR and PNI, and the relevant study is being conducted. Despite these limitations, our study highlights the importance of differentiating PNI based on the depth of invasion and suggests that the current definition of PNI needs to be revised as PNI in the subserous plexus.

Conclusions

In conclusion, our study demonstrates that the depth of PNI is a significant independent prognostic factor for recurrence and survival in patients with stage II CRC. Specifically, patients with PNI in the subserous plexus had a worse prognosis, while the difference in prognosis between stage II CRC patients with PNI in the submucosal and myenteric plexuses and those without PNI was not significant. These findings suggest that the definition of PNI in high-risk factors should be revised to focus on PNI in the subserous plexus.

Availability of data and materials

The data supporting the findings of this study are available from the corresponding author upon reasonable request.

References

  1. Xie Y, Shi L, He X, Luo Y. Gastrointestinal cancers in China, the USA, and Europe. Gastroenterol Rep (Oxf). 2021;9(2):91ā€“104.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  2. Kuol N, Stojanovska L, Apostolopoulos V, Nurgali K. Role of the nervous system in cancer metastasis. J Exp Clin Cancer Res. 2018;37(1):5.

    ArticleĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  3. Valastyan S, Weinberg RA. Tumor metastasis: molecular insights and evolving paradigms. Cell. 2011;147(2):275ā€“92.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  4. Baxter NN, Kennedy EB, Bergsland E, Berlin J, George TJ, Gill S, Gold PJ, Hantel A, Jones L, Lieu C, et al. Adjuvant therapy for stage II colon cancer: ASCO guideline update. J Clin Oncol. 2022;40(8):892ā€“910.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  5. Cienfuegos JA, MartĆ­nez P, Baixauli J, Beorlegui C, Rosenstone S, Sola JJ, RodrĆ­guez J, HernĆ”ndez-LizoĆ”in JL. Perineural invasion is a major prognostic and predictive factor of response to adjuvant chemotherapy in stage I-II colon cancer. Ann Surg Oncol. 2017;24(4):1077ā€“84.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  6. Skancke M, Arnott SM, Amdur RL, Siegel RS, Obias VJ, Umapathi BA. Lymphovascular invasion and perineural invasion negatively impact overall survival for stage II adenocarcinoma of the colon. Dis Colon Rectum. 2019;62(2):181ā€“8.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  7. Kim YI, Kim CW, Kim JH, Kim J, Ro JS, Lee JL, Yoon YS, Park IJ, Lim SB, Yu CS, et al. Clinical implication of perineural and lymphovascular invasion in rectal cancer patients who underwent surgery after preoperative chemoradiotherapy. Dis Colon Rectum. 2022;65(11):1325ā€“34.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  8. Liebig C, Ayala G, Wilks JA, Berger DH, Albo D. Perineural invasion in cancer: a review of the literature. Cancer. 2009;115(15):3379ā€“91.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  9. Seguella L, Gulbransen BD. Enteric glial biology, intercellular signalling and roles in gastrointestinal disease. Nat Rev Gastroenterol Hepatol. 2021;18(8):571ā€“87.

    ArticleĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  10. Liebl F, Demir IE, Rosenberg R, Boldis A, Yildiz E, Kujundzic K, Kehl T, Dischl D, Schuster T, Maak M, et al. The severity of neural invasion is associated with shortened survival in colon cancer. Clin Cancer Res. 2013;19(1):50ā€“61.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  11. Zhou Y, Wang H, Gong H, Cao M, Zhang G, Wang Y. Clinical significance of perineural invasion in stages II and III colorectal cancer. Pathol Res Pract. 2015;211(11):839ā€“44.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  12. Cho SS, Park JW, Kang GH, Kim JH, Bae JM, Han SW, Kim TY, Kim MJ, Ryoo SB, Jeong SY, et al. Prognostic impact of extramural lymphatic, vascular, and perineural invasion in stage II colon cancer: a comparison with intramural invasion. Dis Colon Rectum. 2023;66(3):366ā€“73.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  13. Ueno H, Shirouzu K, Eishi Y, Yamada K, Kusumi T, Kushima R, Ikegami M, Murata A, Okuno K, Sato T, et al. Characterization of perineural invasion as a component of colorectal cancer staging. Am J Surg Pathol. 2013;37(10):1542ā€“9.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  14. Simillis C, Singh H, Afxentiou T, Mills S, Warren OJ, Smith JJ, Riddle P, Adamina M, Cunningham D, Tekkis PP. Postoperative chemotherapy improves survival in patients with resected high-risk Stage II colorectal cancer: results of a systematic review and meta-analysis. Colorectal Dis. 2020;22(10):1231ā€“44.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  15. NCCN Guidelines: Gradishar WJ, Anderson BO, Balassanian R, et al. NCCN clinical practice guidelines in oncology: colon cancer. Version 2. 2021. Available at: NCCN.org.

  16. Diagnosis, Treatment Guidelines For Colorectal Cancer Working Group C. Chinese Society of Clinical Oncology (CSCO) diagnosis and treatment guidelines for colorectal cancer 2018 (English version). Chin J Cancer Res. 2019;31(1):117ā€“34.

  17. Zhang B, Lin Y, Wang C, Chen Z, Huang T, Chen H, Wang G, Lan P, He X, He X. Combining perineural invasion with staging improve the prognostic accuracy in colorectal cancer: a retrospective cohort study. BMC Cancer. 2023;23(1):675.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  18. Knijn N, Mogk SC, Teerenstra S, Simmer F, Nagtegaal ID. Perineural invasion is a strong prognostic factor in colorectal cancer: a systematic review. Am J Surg Pathol. 2016;40(1):103ā€“12.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  19. Zhang JF, Tao LY, Yang MW, Xu DP, Jiang SH, Fu XL, Liu DJ, Huo YM, Liu W, Yang JY, et al. CD74 promotes perineural invasion of cancer cells and mediates neuroplasticity via the AKT/EGR-1/GDNF axis in pancreatic ductal adenocarcinoma. Cancer Lett. 2021;508:47ā€“58.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  20. Lei Y, He X, Huang H, He Y, Lan J, Yang J, Liu W, Zhang T. Nerve growth factor orchestrates NGAL and matrix metalloproteinases activity to promote colorectal cancer metastasis. Clin Transl Oncol. 2022;24(1):34ā€“47.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  21. Huang T, Lin Y, Chen J, Hu J, Chen H, Zhang Y, Zhang B, He X. CD51 intracellular domain promotes cancer cell neurotropism through interacting with transcription factor NR4A3 in colorectal cancer. Cancers (Basel). 2023;15(9):2623.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  22. Liu Q, Ma Z, Cao Q, Zhao H, Guo Y, Liu T, Li J. Perineural invasion-associated biomarkers for tumor development. Biomed Pharmacother. 2022;155:113691.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  23. Hu G, Li L, Hu K. Clinical implications of perineural invasion in patients with colorectal cancer. Medicine (Baltimore). 2020;99(17):e19860.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  24. Benson AB 3rd, Schrag D, Somerfield MR, Cohen AM, Figueredo AT, Flynn PJ, Krzyzanowska MK, Maroun J, McAllister P, Van Cutsem E, et al. American Society of Clinical Oncology recommendations on adjuvant chemotherapy for stage II colon cancer. J Clin Oncol. 2004;22(16):3408ā€“19.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  25. Figueredo A, Charette ML, Maroun J, Brouwers MC, Zuraw L. Adjuvant therapy for stage II colon cancer: a systematic review from the Cancer Care Ontario Program in evidence-based careā€™s gastrointestinal cancer disease site group. J Clin Oncol. 2004;22(16):3395ā€“407.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  26. Fukuda Y, Tanaka Y, Eto K, Ukai N, Sonobe S, Takahashi H, Ikegami M, Shimoda M. S100-stained perineural invasion is associated with worse prognosis in stage I/II colorectal cancer: its possible association with immunosuppression in the tumor. Pathol Int. 2022;72(2):117ā€“27.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

Download references

Funding

This research was supported by grants from the Natural Science Foundation of China (82172561, 81970482), Natural Science Foundation of Guangdong (2021A1515110987, 2019A1515011313), Guangdong Special Young Talent Plan of Scientific and Technological Innovation (2022B1515020022), China Postdoctoral Science Foundation (2019M663250), Science and Technology Program of Guangzhou, China (202201011160), the program of Guangdong Provincial Clinical Research Center for Digestive Diseases (2020B1111170004), National Key Clinical Discipline and the Complete Period Talent Project of the Sixth Affiliated Hospital of Sun Yat-sen University (R20210217202501976).

Author information

Authors and Affiliations

Authors

Contributions

X.H. and B.Z. conceived of the study. H.C., C.W. and Z.C. participated in data acquisition, analysis, and interpretation. T.H., Y.L. and J.C. participated in the data acquisition. All authors participated in manuscript writing and revision.

Corresponding authors

Correspondence to Bin Zhang or Xiaosheng He.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Ethics Committee of the Sixth Affiliated Hospital of Sun Yat-sen University (2021ZSLYEC-542). All participants have given their informed consent before inclusion. All methods were carried out in accordance with relevant guidelines and regulations.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisherā€™s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Supplementary Figure 1.

Flow Chart of this study.

Additional file 2: Supplementary Figure 2.

Kaplanā€“Meier curves of survival analyses. Overall survival and disease-free survival in colon and rectum cancer according to the depth of PNI. OS and DFS were significantly different in three groups. A and B were survival curves of colon cancer, and C and D were rectum cancer.

Additional file 3: Supplementary Figure 3.

Kaplanā€“Meier curves of survival analyses in T3 and T4 stages separately. Overall survival and disease-free survival in T3 and T4 stage according to the depth of PNI. OS and DFS were significantly different in three groups. A and B were survival curves of T3 stage, and C and D were T4 stage.

Additional file 4: Supplementary Table 1.

Univariate and multivariate Cox models for overall survival of each characteristic.

Additional file 5: Supplementary Table 2.

Univariate and multivariate Cox models for disease-free survival of each characteristic.

Additional file 6: Supplementary Table 3.

Univariate and multivariate Cox models evaluated the effect of the depth of PNI on OS and DFS in T3 stage patients.

Additional file 7: Supplementary Table 4.

Univariate and multivariate Cox models evaluated the effect of the depth of PNI on OS and DFS in T4 stage patients.

Additional file 8: Supplementary Table 5.

The association between the depth of PNI and recurrence, metastasis in stage II CRC patients.

Additional file 9: Supplementary Table 6.

The association between the depth of PNI and the site of metastasis in stage II CRC patients.

Additional file 10: Supplementary Table 7.

Univariate and multivariate logistics models evaluated the effect of the depth of PNI on metastasis in stage II CRC patients.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, H., Wang, C., Chen, Z. et al. The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer. BMC Cancer 24, 433 (2024). https://doi.org/10.1186/s12885-024-12206-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12885-024-12206-9

Keywords