ClinicalTrials.gg
Not yet recruitingNCT07818395Updated Sep 14, 2026

Spatial Multi-Omics of Perineural Invasion Microenvironment and Prognosis in Prostate Cancer

An observational study in Prostate Cancer Adenocarcinoma, sponsored by Anhui Medical University. Not yet recruiting at 1 site in China. Open to male participants aged 18 Years to 85 Years. Per ClinicalTrials.gov, last updated 2026-09-14.

Sponsored by Anhui Medical University · Observational

Study type
Observational
Model
Cohort
Time perspective
Other
Enrollment
120
Ages
18 Years to 85 Years
Sex
Male
01

Study summary

Prostate cancer is a common malignancy in men, with substantial prognostic heterogeneity that calls for improved risk stratification at the tissue microenvironment level. Perineural invasion (PNI) is a frequent pathological feature in prostate cancer, associated with local aggressiveness and postoperative recurrence; however, its microenvironmental characteristics and prognostic value remain incompletely characterized. This study plans to enroll approximately 120 prostate cancer patients, collecting tissue specimens and clinicopathological data. We will integrate HE/WSI pathological images, Xenium spatial transcriptomics, PhenoCycler-Fusion spatial proteomics, whole-exome sequencing, and single-cell transcriptomics to systematically compare PNI-positive regions, PNI-negative tumor regions, and adjacent-normal regions in terms of cellular composition, spatial proximity relationships, molecular pathway activities, and genomic alterations. The objectives are to screen candidate molecular markers associated with PNI burden, local invasion, and poor postoperative outcomes, and to explore the establishment of a PNI classification and prognostic risk assessment model based on spatial multi-omics features, thereby providing a foundation for individualized risk stratification and further mechanistic studies in prostate cancer.

Read the detailed description

This study will utilize tissue specimens and clinical follow-up data from prostate cancer patients, integrating HE/WSI pathological images, spatial transcriptomics, spatial proteomics, whole-exome sequencing (WES), and single-cell transcriptomics to systematically characterize the cellular composition, spatial proximity relationships, molecular expression profiles, and genomic alterations within the perineural invasion (PNI) microenvironment of prostate cancer.

Specifically, this study aims to delineate the spatial multi-omics differences among PNI-positive regions, PNI-negative tumor regions, and adjacent-normal regions; to screen for candidate molecular markers associated with PNI burden, local tumor aggressiveness, and poor postoperative outcomes; and to explore the establishment of a PNI classification and prognostic risk assessment model based on spatial multi-omics features, thereby providing a foundation for individualized risk stratification and future mechanistic investigations in prostate cancer.

02

Conditions studied

  • Prostate Cancer Adenocarcinoma

Browse trials for

Keywords

  • Prostate cancer
  • Perineural invasion
  • Spatial multi-omics
  • Tumor microenvironment
  • Prognostic risk stratification
03

In context

Prostatic Neoplasms

7,046 studies on the registry are indexed under Prostatic Neoplasms; 1,580 are open to participants now.

This study's planned enrollment of 120 is below the median of 200 across 1,310 observational studies indexed under Prostatic Neoplasms.

Browse Prostatic Neoplasms studies →

Lead sponsor

Anhui Medical University is the lead sponsor of 104 studies on the registry; 50 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 85 Years
Sexes eligible
Male
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Histopathologically confirmed prostate cancer, including prostatic acinar adenocarcinoma, ductal adenocarcinoma, intraductal carcinoma, or other pathological types deemed suitable for inclusion by the investigator.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • (1)Age >18 years and \<85 years. (2)Histopathologically confirmed prostate cancer, including prostatic acinar adenocarcinoma, ductal adenocarcinoma, intraductal carcinoma, or other pathological types deemed suitable for inclusion by the investigator.

    (3)Have undergone radical prostatectomy, prostate , or other clinical diagnostic or therapeutic procedures, and have prostate tissue specimens obtained and available for research purposes.

    (4)Tissue specimens meet the basic quality requirements for HE pathological assessment, spatial transcriptomics, spatial proteomics, whole-exome sequencing (WES), or single-cell transcriptome sequencing.

    (5)Have available basic clinical data, pathological data, treatment information, and follow-up data, including PSA levels, pathological grade, pathological stage, margin status, perineural invasion (PNI) status, and postoperative re-examination information.

    (6)For prospectively enrolled new patients, written must be voluntarily signed. For archived leftover specimens and medical records obtained during prior clinical care, a waiver of informed consent or waiver of documentation of informed consent may be applied for, provided that ethical requirements are satisfied.

Exclusion criteria

Exclusion Criteria:

  • (1)Insufficient tissue sample quantity, severe disruption of tissue architecture, excessively low tumor cellularity, or nucleic acid/protein quality that fails to meet the requirements for the intended assays.

    (2)Severe deficiency in clinicopathological data, precluding the determination of perineural invasion (PNI) status, major pathological parameters, or key follow-up outcomes.

    (3)Concurrent other that, in the investigator's judgment, may significantly affect the prognostic assessment of prostate cancer.

    (4)The patient explicitly refuses to allow their samples or clinical information to be used for scientific research.

    (5)Other conditions deemed unsuitable for inclusion in this study by the investigator.

Terms in these criteria, in plain language(3)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Biopsy and archival tissue

A biopsy takes a small piece of tissue to examine. “Archival tissue” is a sample already taken, for example at diagnosis, and kept by the hospital.

Whether a stored sample will do depends on when it was taken, how much there is and what the study needs. Ask whether the study accepts your stored sample or needs a new biopsy.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Cancer (malignancy)

Malignancy means cancer. Criteria about another or earlier malignancy ask whether you have had a different cancer, usually within a set number of years.

Some are commonly allowed, such as treated skin cancers other than melanoma and early cancers removed completely — check the exceptions this study lists.

05

Study design

Observational model
Cohort
Time perspective
Other
Enrollment
120 participants (estimated)
Patient registry
No
Biospecimen retention
Samples without dna

Groups and cohorts

  • Patients who have prostate cancer tissue specimens collected during urological care at the First Aff

    Diagnostic Test: Multi-omics profiling

Interventions

  • Diagnostic testMulti-omics profiling

    HE/WSI pathological image analysis Xenium spatial transcriptomics PhenoCycler-Fusion spatial proteomics Whole-exome sequencing (WES) Single-cell transcriptome sequencing

06

What researchers measure

Primary outcomes

  1. Persistent PSA elevation

    Record PSA levels at 6-8 weeks and 3 months post-surgery; predefined thresholds in the study protocol may be used for exploratory analyses.

    Time frame: post-operative PSA levels at 6-8 weeks and 3 months

Secondary outcomes

  1. Biochemical Progression-Free Survival (bPFS)

    Time from initiation of ADT plus ARPl therapy to biochemical progression or deathfrom any cause, whichever occurs first. Biochemical progression is defined as a PSA rise to a0.2ng/mL after having reached an undetectable level, confirmed by a second measurement at least 2weeks apart. Participants without an event will be censored at the date of last follow-up.

    Time frame: From treatment initiation until biochemical progression or last follow-up, assessed every 3 months (+1 month) for up to 24 months.

07

Study locations

1 site
08

References and documents

Publications

  • Punnen S, Cooperberg MR, D'Amico AV, Karakiewicz PI, Moul JW, Scher HI, Schlomm T, Freedland SJ. Management of biochemical recurrence after primary treatment of prostate cancer: a systematic review of the literature. Eur Urol. 2013 Dec;64(6):905-15. doi: 10.1016/j.eururo.2013.05.025. Epub 2013 May 16. PubMed 23721958 ↗
  • Chen S, Lake BB, Zhang K. High-throughput sequencing of the transcriptome and chromatin accessibility in the same cell. Nat Biotechnol. 2019 Dec;37(12):1452-1457. doi: 10.1038/s41587-019-0290-0. Epub 2019 Oct 14. PubMed 31611697 ↗
  • Akhoundova D, Rubin MA. Clinical application of advanced multi-omics tumor profiling: Shaping precision oncology of the future. Cancer Cell. 2022 Sep 12;40(9):920-938. doi: 10.1016/j.ccell.2022.08.011. Epub 2022 Sep 1. PubMed 36055231 ↗
  • Marx V. Publisher Correction: Method of the Year: spatially resolved transcriptomics. Nat Methods. 2021 Feb;18(2):219. doi: 10.1038/s41592-021-01065-y. No abstract available. PubMed 33462506 ↗
  • Rodriques SG, Stickels RR, Goeva A, Martin CA, Murray E, Vanderburg CR, Welch J, Chen LM, Chen F, Macosko EZ. Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution. Science. 2019 Mar 29;363(6434):1463-1467. doi: 10.1126/science.aaw1219. Epub 2019 Mar 28. PubMed 30923225 ↗
  • Berglund E, Maaskola J, Schultz N, Friedrich S, Marklund M, Bergenstrahle J, Tarish F, Tanoglidi A, Vickovic S, Larsson L, Salmen F, Ogris C, Wallenborg K, Lagergren J, Stahl P, Sonnhammer E, Helleday T, Lundeberg J. Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity. Nat Commun. 2018 Jun 20;9(1):2419. doi: 10.1038/s41467-018-04724-5. PubMed 29925878 ↗
  • Stahl PL, Salmen F, Vickovic S, Lundmark A, Navarro JF, Magnusson J, Giacomello S, Asp M, Westholm JO, Huss M, Mollbrink A, Linnarsson S, Codeluppi S, Borg A, Ponten F, Costea PI, Sahlen P, Mulder J, Bergmann O, Lundeberg J, Frisen J. Visualization and analysis of gene expression in tissue sections by spatial transcriptomics. Science. 2016 Jul 1;353(6294):78-82. doi: 10.1126/science.aaf2403. PubMed 27365449 ↗
  • Zhang LJ, Wu B, Zha ZL, Qu W, Zhao H, Yuan J, Feng YJ. Perineural invasion as an independent predictor of biochemical recurrence in prostate cancer following radical prostatectomy or radiotherapy: a systematic review and meta-analysis. BMC Urol. 2018 Feb 1;18(1):5. doi: 10.1186/s12894-018-0319-6. PubMed 29390991 ↗
  • Magnon C, Hall SJ, Lin J, Xue X, Gerber L, Freedland SJ, Frenette PS. Autonomic nerve development contributes to prostate cancer progression. Science. 2013 Jul 12;341(6142):1236361. doi: 10.1126/science.1236361. PubMed 23846904 ↗
  • Liebig C, Ayala G, Wilks JA, Berger DH, Albo D. Perineural invasion in cancer: a review of the literature. Cancer. 2009 Aug 1;115(15):3379-91. doi: 10.1002/cncr.24396. PubMed 19484787 ↗
  • Harnden P, Shelley MD, Clements H, Coles B, Tyndale-Biscoe RS, Naylor B, Mason MD. The prognostic significance of perineural invasion in prostatic cancer biopsies: a systematic review. Cancer. 2007 Jan 1;109(1):13-24. doi: 10.1002/cncr.22388. PubMed 17123267 ↗
  • Bismar TA, Lewis JS Jr, Vollmer RT, Humphrey PA. Multiple measures of carcinoma extent versus perineural invasion in prostate needle biopsy tissue in prediction of pathologic stage in a screening population. Am J Surg Pathol. 2003 Apr;27(4):432-40. doi: 10.1097/00000478-200304000-00002. PubMed 12657927 ↗
  • Hamdy FC, Donovan JL, Lane JA, Metcalfe C, Davis M, Turner EL, Martin RM, Young GJ, Walsh EI, Bryant RJ, Bollina P, Doble A, Doherty A, Gillatt D, Gnanapragasam V, Hughes O, Kockelbergh R, Kynaston H, Paul A, Paez E, Powell P, Rosario DJ, Rowe E, Mason M, Catto JWF, Peters TJ, Oxley J, Williams NJ, Staffurth J, Neal DE; ProtecT Study Group. Fifteen-Year Outcomes after Monitoring, Surgery, or Radiotherapy for Prostate Cancer. N Engl J Med. 2023 Apr 27;388(17):1547-1558. doi: 10.1056/NEJMoa2214122. Epub 2023 Mar 11. PubMed 36912538 ↗
  • Han B, Zheng R, Zeng H, Wang S, Sun K, Chen R, Li L, Wei W, He J. Cancer incidence and mortality in China, 2022. J Natl Cancer Cent. 2024 Feb 2;4(1):47-53. doi: 10.1016/j.jncc.2024.01.006. eCollection 2024 Mar. PubMed 39036382 ↗
  • Chen R, Ren S; Chinese Prostate Cancer Consortium; Yiu MK, Fai NC, Cheng WS, Ian LH, Naito S, Matsuda T, Kehinde E, Kural A, Chiu JY, Umbas R, Wei Q, Shi X, Zhou L, Huang J, Huang Y, Xie L, Ma L, Yin C, Xu D, Xu K, Ye Z, Liu C, Ye D, Gao X, Fu Q, Hou J, Yuan J, He D, Pan T, Ding Q, Jin F, Shi B, Wang G, Liu X, Wang D, Shen Z, Kong X, Xu W, Deng Y, Xia H, Cohen AN, Gao X, Xu C, Sun Y. Prostate cancer in Asia: A collaborative report. Asian J Urol. 2014 Oct;1(1):15-29. doi: 10.1016/j.ajur.2014.08.007. Epub 2015 Apr 16. PubMed 29511634 ↗
  • Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA Cancer J Clin. 2024 Jan-Feb;74(1):12-49. doi: 10.3322/caac.21820. Epub 2024 Jan 17. PubMed 38230766 ↗
  • Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4. PubMed 33538338 ↗

Individual participant data

Plan to share: Undecided — Genetic information from patients will be analyzed.The research involves genetic/genomic profiling of patient samples.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 14, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07818395
Responsible party
Sheng Tai (the chief of the ward, Anhui Medical University) — Principal investigator
First posted
Sep 14, 2026
Start date
Oct 1, 2026 (estimated)
Primary completion
Mar 31, 2027 (estimated)
Completion
Oct 31, 2027 (estimated)
Last update
Sep 14, 2026

Study contacts

Sheng Tai, M.D.
Contact
Taishengwk@163.com
86-18355159268 ext. 0551-62922234
Bowen Li, M.D.
Contact
2534582952@qq.com
86-18356721482 ext. 0551-62922234
Sheng Tai, M.D.
principal investigator · THE FIRST AFFILIATED HOSPITAL OF ANHUI MEDICALUNIVERSITY

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Sep 2026. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion