Advances in Colorectal Cancer: Diagnosis and Personalized Treatment

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Personalized Therapy in Clinical Medicine".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 646

Special Issue Editor


E-Mail Website
Guest Editor
Clinic for General, Visceral and Transplantation Surgery, Heidelberg University Hospital, 69120 Heidelberg, Germany
Interests: colorectal cancer; hepatocellular carcinoma; HPB surgery; liver transplantation

Special Issue Information

Dear Colleagues,

Colorectal cancer (CRC) remains a significant global health challenge. This Special Issue of the Journal of Personalized Medicine focuses on the cutting-edge advancements in CRC diagnosis and personalized treatments. We invite original research articles, reviews, and other manuscript types that explore novel diagnostic techniques, including molecular profiling, imaging, and liquid biopsies, as well as innovative therapeutic strategies such as targeted therapies, immunotherapies, and the application of artificial intelligence in treatment selection. We also encourage submissions highlighting the evolving role of surgery, including minimally invasive approaches and enhanced recovery protocols.

We encourage submissions that address the following themes:

  • Early detection and risk stratification: Novel biomarkers, screening modalities, and predictive models for improved risk assessment;
  • Precision diagnostics: Advances in molecular profiling, including genomics, proteomics, and metabolomics, to guide personalized treatment decisions;
  • Targeted therapies and immunotherapy: Clinical trials and translational research on targeted therapies and immunotherapies in CRC;
  • Surgical innovations: Minimally invasive techniques, robotic surgery, and enhanced recovery protocols to optimize surgical outcomes;
  • Technological innovations: Application of artificial intelligence, machine learning, and big data analysis for diagnosis, treatment selection, and patient monitoring;
  • Overcoming treatment resistance: Mechanisms of resistance to current therapies and strategies to enhance treatment response.

This Issue aims to showcase the latest breakthroughs and foster collaboration among the researchers, clinicians, and healthcare professionals dedicated to improving outcomes for CRC patients.

Dr. Georgios Polychronidis
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • colorectal cancer
  • diagnosis
  • personalized medicine
  • targeted therapy
  • immunotherapy
  • liquid biopsy
  • molecular profiling
  • surgical oncology
  • artificial intelligence
  • precision oncology

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

14 pages, 7518 KB  
Article
Cell-in-Cell Structures in Colorectal Cancer: A Proposed Assessment Method and Correlation with Established Poor Prognostic Factors
by Arseniy Potapov, Ruslan Spashchanskii, Aleksey Kazakov, Anastasiya Shepeleva, Uliana Lisitsa, Marina Bugrova and Irina Druzhkova
J. Pers. Med. 2025, 15(12), 591; https://doi.org/10.3390/jpm15120591 - 3 Dec 2025
Viewed by 323
Abstract
Background: Cell-in-cell (CIC) structure is a histological picture of a whole cell inside another cell. Homotypic CIC structures formed by cancer cells are consistently demonstrated to be a factor of poor prognosis and resistance to chemo- and immunotherapy in colorectal cancer (CRC). [...] Read more.
Background: Cell-in-cell (CIC) structure is a histological picture of a whole cell inside another cell. Homotypic CIC structures formed by cancer cells are consistently demonstrated to be a factor of poor prognosis and resistance to chemo- and immunotherapy in colorectal cancer (CRC). However, the absence of a standardized counting method limits the use of this factor in the applied research. Objective: To propose an adapted method for quantifying CIC structures in CRC surgical specimens and to evaluate their correlation with established adverse prognostic factors. Methods: A total of 250 histological slides of surgical specimens from 58 patients with pT1-pT4 colorectal adenocarcinoma were studied. Identification of tumor cells and visualization of CIC structures were performed by immunohistochemistry (CK20). Quantitative assessment was performed on digital scans of H&E stained slides. Quantitative assessment was performed on digital slide scans stained with H&E. CIC structures were counted in 5 fields of view corresponding to a ×40 objective (0.975 mm2). A correlation analysis of CIC structures with CRC poor prognosis factors was performed. Results: Immunohistochemical study (CK20) confirmed the formation and prevalence of homotypic structures (95%) over heterotypic ones (5%) (p < 0.001). This finding informed the evaluation of H&E-stained slides and the formulation of criteria for CIC structure identification. A significant predominance of CIC structures in the invasive front was established compared to the tumor central zone (16.7 ± 5.2 and 1.2 ± 1.3 per 5 fields of view, respectively, p < 0.0001). Correlation analysis revealed weak but statistically significant relationships with the tumor-stromal ratio, the tumor buds number and the density of tumor-infiltrating lymphocytes. No correlations were found with the right- or left-sided location, pTNM, grading, lymphovascular and perineural invasion. Conclusions: The paper presents the adapted CIC structures counting method for surgical specimens of CRC, defines the criteria of the CIC, and demonstrates a higher number of CIC structures in the tumor invasive front. Weak correlations between the CIC structures and established factors of CRC poor prognosis are obtained. Full article
(This article belongs to the Special Issue Advances in Colorectal Cancer: Diagnosis and Personalized Treatment)
Show Figures

Figure 1

Back to TopTop