Skip to main content
Download PDF

A model of tertiary lymphatic structure-related prognosis for penile squamous cell carcinoma

BMC Urology volume 24, Article number: 165 (2024) Cite this article

Abstract

Background

We investigated the feasibility of the tertiary lymphoid structure (TLS) as a prognostic marker for penile squamous cell carcinoma(SCC).

Methods

We retrospectively collected data from 83 patients with penile squamous cell carcinoma. H&E-stained slides were reviewed for TLS density. In addition, clinical parameters were analyzed, the prognostic value of these parameters on overall survival (OS) was evaluated using ‒ Kaplan–Meier survival curves, and the prognostic value of influencing factors was evaluated using Cox multifactor design nomogram analysis.

Result

BMI, T, N, and M are significant in the survival curve with or without tertiary lymphoid structure. BMI, T, N, M and TLS were used to construct a prognostic model for penile squamous cell carcinoma, and the prediction accuracy reached a consensus of 0.884(0.835–0.932), and the decision consensus reached 0.581(0.508–0.655).

Conclusion

TLS may be a positive prognostic factor for penile squamous cell carcinoma, and the combination of BMI, T, N and M can better evaluate the prognosis of patients.

Peer Review reports

Introduction

Penile malignancies are the third most common male-specific genitourinary malignancy, and squamous cell carcinoma is the most common histological type. Squamous cell carcinoma (SCC) is an epithelial malignancy that often originates from the mucosal surface of the foreskin, glans penis, and coronal sulcus, and manifests as a distal invasive or ulcerative mass. This can happen in men of any age, and risk factors include human papillomavirus, phimosis, poor foreskin hygiene, chronic inflammation such as lichen sclerosus, trauma, and smoking. Because patients with penile malignancies often delay seeking diagnosis and subsequent treatment owing to sexual organ sensitivity issues [1], there are currently no reliable markers for the diagnosis and prognosis of penile cancer.

Tertiary lymphoid structures (TLSs) are organized aggregates of immune cells formed in nonlymphoid tissue after birth [2] including typical TLSs consisting of a B-cell region containing active germinal centers and a peripheral T-cell area containing various types of dendritic cells (DCs), T cells, and hyperendothelial venules (HEVs) [3]. Currently, TLS research is focused on non-small cell lung cancer, colorectal cancer, melanoma, and breast cancer [4,5,6,7,8,9]. Several studies have shown that TLSs may be involved in antitumor immune response, and the presence of TLSs in tumors is often associated with better prognosis and clinical outcomes of immunotherapy [8]. However, the relationship between TLSs and the prognosis of penile cancer remains unclear. The purpose of our study is to clarify the relationship between TLSs and penile squamous cell carcinoma, and to provide theoretical basis for the treatment of penile cancer.

Material method

Study population

We retrospectively collected data from 83 patients with penile squamous cell carcinoma diagnosed with stage AJCC 2017 I and IV at Guangxi Medical University Cancer Hospital and Wuming Hospital from June 2013 to April 2023. Informed consent was obtained from the relevant research subjects, and ethical review consent was obtained from the ethics committees of Guangxi Medical University Cancer Hospital and Wuming Hospital. The patients included in the study were as follows: I, pathological diagnosis of penile squamous cell carcinoma; II. Tissue paraffin was complete, clear, and undamaged. The patients had complete medical information and follow-up records. Patients were followed from the date of treatment until death or the end of the last follow-up. Exclusion criteria: I. Patients diagnosed with penile non-squamous cell carcinoma (e.g., melanoma, urethral lymphoma), prostate adenocarcinoma, and primary bladder cancer with urethral involvement; II. Patients diagnosed with penile squamous cell carcinoma combined with prostate adenocarcinoma, primary bladder cancer, upper urinary tract urothelial carcinoma and any other malignant tumor; III. Patients with missing clinical information.

Clinical variables

Data on the clinical features and laboratory parameters for each patient were obtained from electronic medical records. The clinical features included age, sex, AJCC stage, pathological type, recurrence, tumor volume, surgical extent, chemotherapy, and survival time. Laboratory indicators at the time of admission were collected, including APTT, PT, FDP, D-dimer, absolute neutrophil count/absolute lymphocyte count (NLR), absolute platelet count/absolute lymphocyte count [10]), CEA, CA125, CA199, SCC and Scope of operation. Scope of operation refers to the scope of surgical removal of the length of the penis, total excision refers to the operation of the penis root, body, head three parts of the total removal, part excision refers to the operation of the penis head, body part of the incision margin 0.5 cm away from the tumor.

Pathological section

All specimens were prepared as 5 μm formalin-fixed paraffin-embedded (FFPE) sections using hematoxylin–eosin staining. After dewaxing and clarifying with xylene, the sections were dewaxed and hydrated with a series of reduced concentrations of ethanol. The slices were then soaked in hematoxylin for 3 min and eosin for 3 min. Finally, the slices were dehydrated by placing them in xylene and alcohol, and sealed with neutral resin. Each section was maintained moist [10]. All pathology sections were evaluated individually by two pathologists, with a final decision made by a senior physician.

Calculation of tertiary lymphatic structure density

The calculated TLS density was observed with tissue FAXS cytometry at an intertumoral and peritumoral 5 mm position, labelled with an eyepiece with a 22-field of view. The TLS counts every 10X fields. Diameter (d) = 2.2 mm, S = πd^2/4 = 3.8 mm^2. TLS density = total of five random views/5/S [10].

Statistical analysis

SPSS (version 26.0) was used for statistical analysis. Receiver operating characteristic (ROC) curve analysis was used to determine the cutoff points for TLS density, APTT, PT, FDP, D-dimer, absolute neutrophil count/absolute lymphocyte count (NLR), and absolute platelet count (PLR). The ROC curve was constructed using survival state and various indicators, and the best interception point was when the AUC was maximum. The Kaplan–Meier curves of TLS with or without stratification, surgical range with TLS, surgical range without TLS, TNM stage, recurrence, and chemotherapy were plotted, and the nomogram was designed using Cox single multivariate analysis. The consistency index (C-index) was used to evaluate the predictive ability of each factor. A value of 0.5 indicates random probability, and a value close to 1.0 indicates a better ability to correctly distinguish results. A correction curve was used to assess how well the actual results fit the nomogram model. The DCA method was used to evaluate the clinical application value of the nomogram prognostic model.

Results

Characteristics of patients

We retrospectively identified 83 patients with penile squamous cell carcinoma (2017AJCC I stage to stage IV), whose baseline characteristics are shown in Table 1. Among them, 57 patients had TLS in histopathological sections, and 26 patients did not have TLS. The median follow-up period was 37 months (range, 1–118), and 14 patients died in the study.

Table 1 Baseline data tables on clinicopathological factors and the presence or absence of TLS in patients
Full size table

Kaplan‒Meier survival analysis data with and without TLS in Table 2

Table 2 Kaplan–Meier survival analysis table of TLS. Kaplan–Meier survival analysis table of clinicopathological factors and presence or absence of TLS
Full size table

The AUC value of APTT was 0.607 (95% CI 0.4577–0.757). The AUC value for PT was 0.638 (95% CI 0.493–0.782). The AUC of tumor volume was 0.559 (95% CI 0.386–0.733). The AUC value of NLR was 0.552 (95% CI 0.372–0.732). The AUC value of the PLR was 0.753 (95% CI 0.608–0.897). In Kaplan–Meier analysis, patients with T1/T2 and T3/T4 had OS of tertiary lymphoid structure, P = 0.026;OS without tertiary lymphatic structure, P = 0.017.Patients with N0 and N + had OS of tertiary lymphatic structure, P = 0.031;OS without tertiary lymphatic structure, P = 0.088.Patients with M0 and M1 had OS of tertiary lymphoid structure, P = 0.001;OS without tertiary lymphatic structure, P = 0.000.Patients with chemotherapy and no chemotherapy had OS of tertiary lymphoid structure, P = 0.008;OS without tertiary lymphatic structure, P = 0.239.Patients with Total excision and Part excision had OS of tertiary lymphatic structure, P = 0.008;OS without tertiary lymphatic structure, P = 0.970.Patients with BMI < 21.9 and BMI ≥ 21.9 had OS of tertiary lymphoid structure, P = 0.021;OS without tertiary lymphoid structure, P = 0.423 and so on. Overall, these results suggest that BMI, T stage, N stage, M stage, lymph node status, surgical scope, presence or absence of chemotherapy, presence or absence of recurrence, and tumor volume are important prognostic factors for poor survival.

The pathological characteristics and clinical parameters of Cox regression analysis are shown in Table 3

Table 3 Cox regression analysis table of TLS, BMI,T stage, N stage, M
Full size table

Multivariate Cox proportional risk analysis showed that patient OS for TLS (HR 0.077, P = 0.003) was an independent predictor. The OS of BMI (HR0.786, P = 0.010) was an independent predictor. The OS of T stage (HR3.681, P = 0.004) was an independent predictor. The OS of N stage (HR2.051, P = 0.002) was an independent predictor. The OS of M stage (HR0.042, P = 0.002) was an independent predictor.

The structure of the tertiary lymphoid identified is shown in Fig. 1.

Fig. 1
figure 1

A and B show the typical tertiary lymphoid structure of two patients with penile cancer, respectively, and C and D show the lymphocyte infiltration of two patients with penile cancer

Full size image

The Kaplan‒Meier survival analysis of the pathological features and clinical parameters is shown in Fig. 2.

Fig. 2
figure 2

A shows the survival curve group of BMI21.9 with tertiary lymphoid structure, B shows the survival curve group of BMI21.9 without tertiary lymphoid structure, C shows the survival curve group of T with tertiary lymphoid structure, D shows the survival curve group of T without tertiary lymphoid structure, E shows the survival curve group of N with tertiary lymphoid structure, F shows the survival curve group of N without tertiary lymphoid structure, G shows the survival curve group of M with tertiary lymphoid structure, H shows the survival curve group of M without tertiary lymphoid structure

Full size image

The pathological characteristics and clinical parameters of the patient, BMI, T, N,M, and TLS Cox regression results were used to make a forest map, as shown in Fig. 3A. The pathological characteristics, clinical parameters, BMI, T, N, and M of the patients were analyzed to make a prediction nomogram, as shown in Fig. 3B. The conformance (C-index): 0.884(0.835–0.932). The patient's pathological characteristics, clinical parameters, BMI, T, N, and M were used to make calibration curves for 1, 3, and 5 years, as shown in Fig. 3C. Pathological characteristics, clinical parameters, BMI, T, N, and M of the patients were used to make one-year decision curves, as shown in Fig. 3D.The conformance (C-index): 0.581(0.508–0.655). Pathological characteristics, clinical parameters, BMI, T, N, and M of the patients were used to make one-year decision curves, as shown in Fig. 3E. Pathological characteristics, clinical parameters, BMI, T, N, and M of the patients were used to make one-year decision curves, as shown in Fig. 3F.

Fig. 3
figure 3

A is the multivariate results of BMI, T, N, M, TLS in the form of forest plots, B is the prediction nomogram of BMI, T, N, M, TLS, C is the 1-year calibration curves of BMI, T, N, M, TLS, D is the 1-year decision curve of BMI, T, N, M, TLS, E is the 3-year decision curve of BMI, T, N, M, TLS, and F is the 5-year decision curve of BMI, T, N, M, TLS

Full size image

The connection between TLS and survival is shown in Fig. 4

Fig. 4
figure 4

A is a scatter plot of time-to-life and TLS, showing the regression relationship between time-to-life and TLS. B shows the survival curve of 83 patients with penile squamous cell carcinoma with or without TLS expression. C is a comparison of the distribution between the lifetime and TLS, indicating whether there are differences in the lifetime distribution of TLS. D is a nonparametric test of lifetime versus TLS with or without, and there is a difference in survival time between groups with and without TLS

Full size image

Figure 4A is a scatter plot of the survival time and TLS, and there is a linear regression relationship between the survival time and TLS, R = -0.216, P = 0.018. Figure 4B shows the survival curve of 83 patients with penile squamous cell carcinoma with or without TLS expression, P = 0.498. Figure 4C shows the distribution comparison between TLS and survival time. Whether TLS has any difference in survival time distribution, P = 0.02. Figure 4D is a nonparametric test of lifetime versus TLS with or without, and there is a difference in survival time between groups with and without TLS.

TLS survival analysis in penile squamous cell carcinoma in Fig. 5

Fig. 5
figure 5

In patients with penile squamous cell carcinoma with lymph node invasion, the prognosis was better without TLS than with TLS in patients with T3 stage,P = 0.026 (A).In patients with penile squamous cell carcinoma without distant invasion, the prognosis was better without TLS than with TLS in patients with tumor invasion of the nerve, P = 0.032 (B)

Full size image

With further grouping statistics, we made new discoveries. In patients with penile squamous cell carcinoma with lymph node invasion, the prognosis was better without TLS than with TLS in patients with T3 stage,P = 0.026 (Fig. 5A).In patients with penile squamous cell carcinoma without distant invasion, the prognosis was better without TLS than with TLS in patients with tumor invasion of the nerve, P = 0.032 (Fig. 5B).

Discussion

Presence of TLS in tumors have been shown to portend a good prognosis in a variety of solid tumors [11]which may be related to the existence of sustained and effective antitumor immunity to TLSs in tumors. To the best of our knowledge, this study is the first to assess the prognostic value of TLSs in penile squamous cell carcinoma. Our results show that TLS, BMI, T stage, N stage and M stage are independent factors affecting the prognosis of patients with penile squamous cell carcinoma. Multivariate Cox regression model verifies this result again. The accuracy of TLS as a prognostic factor in clinical outcomes was further verified by decision curve and calibration curve. At the same time, the overall survival of cancer depends on TNM stage and grade. By combining TLS and TNM stage, In the future, by preventing the formation and development of TLS, we can better improve the overall survival rate of patients with penile squamous cell carcinoma.

However, due to the current treatment of penile cancer, the patients who were confined to the stage T1/T2 of penile head and did not have lymph nodes and distant metastasis could obtain better curative effect through surgical treatment. However, there were urethral cavernous invasion or accompanied by lymph node metastasis or distant metastasis, the therapeutic effect of targeted radiotherapy and chemotherapy was limited.

In Table 1, we show that there was a significant difference in the survival analysis results with and without TLSs, and many TLS studies in squamous cell carcinoma showed that TLSs were an independent prognostic factor. Tertiary lymphoid structures (TLSs) are immune aggregates with varying degrees of organization that form outside secondary lymphoid organs (SLOs) in response to chronic inflammation or infection, and TLSs are characterized by organizational patterns similar to SLOs with well-defined T-cell regions, B-cell-rich follicles, and mature dendritic cells (DCs) [12]. A higher local recurrence rate is associated with lymphatic vascular invasion and a higher tumor stage and grade [13]. Some studies have found that TLSs are more common in early cancer, which means that the formation of TLSs may start at the initial stage of tumor occurrence [6, 14, 15] and whether recurrence is more statistically significant than the analysis of the TLS group. Recurrence may be associated with a higher tumor grade, which may reduce the probability of TLS formation.

Survival time was correlated with or without TLSs, and the average survival time without TLSs was longer than that with TLSs, which may be related to the infiltration of lymphocytes around the tumor and tumor stage. In the data we collected, there were 21 T3/T4 patients with TLS and only 11 T3/T4 patients without TLS, and the higher the tumor stage, the shorter the survival time. Therefore, five of the 26 patients without TLS survived for more than 100 months, resulting in a longer average survival time without TLS than with TLS.

Squamous cell carcinoma antigen (squamous cell carcinoma antigen SCCAg) in penile cancer diagnosis research has shown that some patients with lymph node metastasis or distant metastasis can exhibit an obvious increase in SCCAg [16], namely, SCCAg is higher, the worse the prognosis, and TLS is a potential protective factor; patients with TLS have lower SCCAg.

The presence or absence of lymph node invasion, the presence or absence of inguinal lymph node invasion and the location of lymph node invasion are independent prognostic factors, and the various predictors of OS are consistent with lymph node involvement [17, 18]. To a certain extent, lymph node invasion is related to surgical scope and tumor volume, and PT is related to lymph node invasion [19].

Limitations

Although two experienced pathologists assessed the presence or absence of TLSs and the number of TLSs in the pathological results of patients, CD3 + , CD20 + , and other markers were not used to assess the presence or absence of TLSs, so there was a certain subjectivity. Although we found that TLS, BMI, T stage, N stage and M stage showed significant differences in the survival curve with or without TLS stratigraphy, the mechanism of action remains unclear. In subsequent studies, immune markers have been used to objectively determine tertiary lymphoid structures. Further studies on the internal mechanisms are needed.

Conclusion

TLS may be a positive prognostic factor for penile squamous cell carcinoma, and the combination with BMI, T stage, N stage and M stage can better evaluate the prognosis of patients, which may provide a new intervention direction for some patients.

Availability of data and materials

Datasets used and/or analyzed during the current study are available upon request to the first and corresponding author.

References

  1. Lubner MG, Marko J, Hu R, Kawashima A, Potretzke TA, Frazier AA, Whiting R, Udager AM. Malignant neoplasms of the penis with radiologic and pathologic correlation. Radiographics. 2023;43(8):e230025. https://doi.org/10.1148/rg.230025. PMID: 37471245.

    Article  PubMed  Google Scholar 

  2. Schumacher TN, Thommen DS. Tertiary lymphoid structures in cancer. Science. 2022;375:eabf9419. https://doi.org/10.1126/science.abf9419.

    Article  CAS  PubMed  Google Scholar 

  3. Colbeck EJ, Ager A, Gallimore A, Jones GW. Tertiary lymphoid structures in cancer: drivers of antitumor immunity, immunosuppression, or bystander sentinels in disease? Front Immunol. 2017;8:1830.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Siliņa K, Soltermann A, Attar FM, Casanova R, Uckeley ZM, Thut H, Wandres M, Isajevs S, Cheng P, Curioni-Fontecedro A, Foukas P, Levesque MP, Moch H, Linē A, van den Broek M. Germinal centers determine the prognostic relevance of tertiary lymphoid structures and are impaired by corticosteroids in lung squamous cell carcinoma. Cancer Res. 2018;78(5):1308–20. https://doi.org/10.1158/0008-5472.CAN-17-1987. Epub 2017 Dec 26 PMID: 29279354.

    Article  CAS  PubMed  Google Scholar 

  5. Cipponi A, Mercier M, Seremet T, Baurain JF, Théate I, van den Oord J, Stas M, Boon T, Coulie PG, van Baren N. Neogenesis of lymphoid structures and antibody responses occur in human melanoma metastases. Cancer Res. 2012;72(16):3997–4007. https://doi.org/10.1158/0008-5472.CAN-12-1377. Epub 2012 Jul 31 PMID: 22850419.

    Article  CAS  PubMed  Google Scholar 

  6. Di Caro G, Bergomas F, Grizzi F, Doni A, Bianchi P, Malesci A, Laghi L, Allavena P, Mantovani A, Marchesi F. Occurrence of tertiary lymphoid tissue is associated with T-cell infiltration and predicts better prognosis in early-stage colorectal cancers. Clin Cancer Res. 2014;20(8):2147–58. https://doi.org/10.1158/1078-0432.CCR-13-2590. Epub 2014 Feb 12 PMID: 24523438.

    Article  CAS  PubMed  Google Scholar 

  7. Goc J, Fridman WH, Hammond SA, Sautès-Fridman C, Dieu-Nosjean MC. Tertiary lymphoid structures in human lung cancers, a new driver of antitumor immune responses. Oncoimmunology. 2014;3:e28976. https://doi.org/10.4161/onci.28976. PMID: 25083325; PMCID: PMC4106161.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Lee HJ, Park IA, Song IH, Shin SJ, Kim JY, Yu JH, Gong G. Tertiary lymphoid structures: prognostic significance and relationship with tumour-infiltrating lymphocytes in triple-negative breast cancer. J Clin Pathol. 2016;69(5):422–30. https://doi.org/10.1136/jclinpath-2015-203089. Epub 2015 Oct 16 PMID: 26475777.

    Article  PubMed  Google Scholar 

  9. Cabrita R, Lauss M, Sanna A, Donia M, Skaarup Larsen M, Mitra S, Johansson I, Phung B, Harbst K, Vallon-Christersson J, van Schoiack A, Lövgren K, Warren S, Jirström K, Olsson H, Pietras K, Ingvar C, Isaksson K, Schadendorf D, Schmidt H, Bastholt L, Carneiro A, Wargo JA, Svane IM, Jönsson G. Tertiary lymphoid structures improve immunotherapy and survival in melanoma. Nature. 2020;577(7791):561–5. https://doi.org/10.1038/s41586-019-1914-8. Epub 2020 Jan 15. Erratum in: Nature. 2020 Apr;580(7801):E1. PMID: 31942071.

    Article  CAS  PubMed  Google Scholar 

  10. Wen S, Chen Y, Hu C, Du X, Xia J, Wang X, Zhu W, Wang Q, Zhu M, Chen Y, Shen B. Combination of tertiary lymphoid structure and neutrophil-to-lymphocyte ratio predicts survival in patients with hepatocellular carcinoma. Front Immunol. 2022;12:788640. https://doi.org/10.3389/fimmu.2021.788640.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Zhao Z, Ding H, Lin ZB, Qiu SH, Zhang YR, Guo YG, Chu XD, Sam LI, Pan JH, Pan YL. Relationship between tertiary lymphoid structure and the prognosis and clinicopathologic characteristics in solid tumors. Int J Med Sci. 2021;18(11):2327–38. https://doi.org/10.7150/ijms.56347. PMID: 33967609; PMCID: PMC8100653.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Ruffin AT, Cillo AR, Tabib T, Liu A, Onkar S, Kunning SR, Lampenfeld C, Atiya HI, Abecassis I, Kürten CHL, Qi Z, Soose R, Duvvuri U, Kim S, Oesterrich S, Lafyatis R, Coffman LG, Ferris RL, Vignali DAA, Bruno TC. B cell signatures and tertiary lymphoid structures contribute to outcome in head and neck squamous cell carcinoma. Nat Commun. 2021;12(1):3349. https://doi.org/10.1038/s41467-021-23355-x. PMID: 34099645; PMCID: PMC8184766.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Philippou P, Shabbir M, Malone P, Nigam R, Muneer A, Ralph DJ, Minhas S. Conservative surgery for squamous cell carcinoma of the penis: resection margins and long-term oncological control. J Urol. 2012;188(3):803–8. https://doi.org/10.1016/j.juro.2012.05.012. Epub 2012 Jul 19 PMID: 22818137.

    Article  PubMed  Google Scholar 

  14. Figenschau SL, Fismen S, Fenton KA, Fenton C, Mortensen ES. Tertiary lymphoid structures are associated with higher tumor grade in primary operable breast cancer patients. BMC Cancer. 2015;15:101 [PMC free article] [PubMed] [Google Scholar].

    Article  PubMed  PubMed Central  Google Scholar 

  15. Dieu-Nosjean MC, Giraldo NA, Kaplon H, Germain C, Fridman WH, Sautès-Fridman C. Tertiary lymphoid structures, drivers of the anti-tumor responses in human cancers. Immunol Rev. 2016;271(1):260–75. https://doi.org/10.1111/imr.12405. PMID: 27088920.

    Article  CAS  PubMed  Google Scholar 

  16. Touloupidis S, Zisimopoulos A, Giannakopoulos S, Papatsoris AG, Kalaitzis C, Thanos A. Clinical usage of the squamous cell carcinoma antigen in patients with penile cancer. Int J Urol. 2007;14(2):174–6. https://doi.org/10.1111/j.1442-2042.2007.01694.x. PMID: 17302580.

    Article  CAS  PubMed  Google Scholar 

  17. Garg V, Ray M, Haresh KP, Sahoo RK, Sharma A, Kaushal S, Batra A. Clinical profile and predictors of survival in carcinoma penis patients. Curr Oncol. 2023;30(5):4563–74. https://doi.org/10.3390/curroncol30050345. PMID: 37232803; PMCID: PMC10216912.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Li K, Sun J, Wei X, Wu G, Wang F, Fan C, Yuan H. Prognostic value of lymphovascular invasion in patients with squamous cell carcinoma of the penis following surgery. BMC Cancer. 2019;19(1):476. https://doi.org/10.1186/s12885-019-5714-1. PMID: 31113402; PMCID: PMC6528249.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Yi X, Lu H, Li W, Tang Y. Venous thrombosis, multiple carcinomatous foci, and differences in metastatic pathways of penile carcinoma. Oncol Lett. 2023;25(3):88. https://doi.org/10.3892/ol.2023.13674. PMID: 36817041; PMCID: PMC9932005.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

This research was partly funded by The National Natural Science Fund of China (32260241, 82360587). The Key Projects of Guangxi Natural Science Foundation (Grant No. 2024GXNSFDA010022). Joint Project on Regional High-Incidence Diseases Research of Guangxi Natural Science Foundation (2023GXNSFDA026021). Guangxi Medical and Health Appropriate Technology Development and Promotion Application Project (S2022123, S201301-06). Basic Ability Improvement Project for Young and Middle-aged Teachers of Guangxi (2023KY0127). Guangxi Scientific Research and Technology Development Projects of China (GKG 1355005–3-11). Self-financing research of the Health Department of Guangxi Autonomous Region (Z20200803, Z20180600). The "139" Plan for Cultivating High-level and Key Talents in Guangxi Medicine, China (G201903036), which funded the fee for the polishing and publication of the article.

Author information

Author notes

  1. Han Tang, Zhengwei Su and Qingming Huang contributed equally to this work.

Authors and Affiliations

  1. Department of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530021, China

    Han Tang, Zhengwei Su, Qingming Huang, Yongpeng Li, Rongchao Chen, Chengjie Ban, Haoyuan Lu, Xian-lin Yi & Yong Tang

  2. Department of Urology, Wuming Hospital of Guangxi Medical University, Nanning, Guangxi, 530199, China

    Han Tang, Zhengwei Su, Qingming Huang, Yongpeng Li, Rongchao Chen, Chengjie Ban, Haoyuan Lu, Xian-lin Yi & Yong Tang

  3. Department of Gynecology and Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530021, China

    Chanzhen Liu

  4. Department of Urology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430077, China

    Yong Tang

Authors
  1. Han Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhengwei Su
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qingming Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yongpeng Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Rongchao Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Chengjie Ban
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Chanzhen Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Haoyuan Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Xian-lin Yi
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Yong Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Design: Xian-lin Yi a, *, Yong Tang a*, Hao-yuan Lu a,b *, and Chanzhen liu c. Acquisition of data: Han Tang a,b, Rongchao Chen a,b, Chengjie Ban a,b. Analysis and interpretation of data: Han Tang a,b, Zhengwei Su a,b, Qingming Huang a,b, Yongpeng Li a,b. Drafting of the manuscript: Han Tang a,b. Critical revision of the manuscript for important intellectual content: Xian-lin Yi a, * and Han Tang a,b. Statistical analysis: Han Tang a,b, Yongpeng Li a,b, and Rongchao Chen a,b. Funding: Xian-lin Yi a, *, Yong Tang a*, Hao-yuan Lu a,b *, and Chanzhen liuc. Administrative,technical, or material support: Xian-lin Yi a, *, Yong Tang a*, Hao-yuan Lu a,b *, and Chanzhen liuc. Supervision: Xian-lin Yi a, *.

Corresponding authors

Correspondence to Xian-lin Yi or Yong Tang.

Ethics declarations

Ethics approval and consent to participate

All experiments were conducted in accordance with relevant guidelines and regulations. The study was approved by the Ethics Committee of the Wuming Hospital and Guangxi Medical University Cancer Hospital. Written informed consent was obtained from the patients or their next of kin.

Consent for publication

Written informed consent was obtained from the patients or their next of kin.

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

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

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

Tang, H., Su, Z., Huang, Q. et al. A model of tertiary lymphatic structure-related prognosis for penile squamous cell carcinoma. BMC Urol 24, 165 (2024). https://doi.org/10.1186/s12894-024-01532-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12894-024-01532-6

Keywords

BMC Urology

ISSN: 1471-2490

Contact us