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Background:
Systematic Review

Clinical Molecular Immunohistochemistry Mismatch Repair Mutations in Lynch Syndrome in Patients Under 50 Years: A Systematic Review

by
Bogdan Adrian Manta
1,
Adrian Cosmin Ilie
2,
Felicia Marc
3,*,
Daciana Nistor
4,*,
Patricia Octavia Mazilu
5 and
Claudia Borza
6,7,8
1
Division of Clinical Practical Skills, Faculty of Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
2
Department III Functional Sciences, Division of Public Health and Management, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
3
Department of Medical Sciences, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania
4
Department of Functional Sciences, Physiology, Centre of Imuno-Physiology and Biotechnologies (CIFBIOTEH), “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
5
Faculty of Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
6
Department of Functional Sciences, Discipline of Pathophysiology, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
7
Centre for Translational Research and Systems Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
8
Centre of Cognitive Research in Pathological Neuro-Psychiatry NEUROPSY-COG, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
*
Authors to whom correspondence should be addressed.
Biomedicines 2025, 13(5), 1062; https://doi.org/10.3390/biomedicines13051062
Submission received: 25 March 2025 / Revised: 20 April 2025 / Accepted: 25 April 2025 / Published: 27 April 2025
(This article belongs to the Section Immunology and Immunotherapy)

Abstract

:
Background and Objectives: Lynch syndrome (LS), an autosomal dominant condition arising from germline mutations in mismatch repair (MMR) genes, is a major cause of hereditary early-onset colorectal cancer (CRC). Although patients diagnosed before age 50 represent a critical subgroup where Lynch syndrome might be more prevalent, data on the precise frequency, clinical outcomes, and molecular correlates remain heterogeneous across studies. This systematic review was conducted to (1) estimate the prevalence of MMR deficiency (dMMR) and confirmed LS in patients diagnosed with CRC before the age of 50, and (2) examine immunohistochemistry (IHC) mismatch repair testing patterns and associated molecular findings (BRAF mutations, MLH1 promoter hypermethylation, somatic MMR gene alterations). Methods: Following a predefined search strategy in PubMed, Scopus, and Web of Science, five relevant studies were identified (n = 5). Each study comprised patients younger than 50 who underwent IHC-based tumor screening. Data extraction covered demographic details, number of patients tested, proportion with abnormal IHC, frequency of somatic or germline MMR gene mutations, and method of classification into sporadic dMMR vs. LS. Quality assessment was performed using recommended scales for observational studies. Results: Among 5 studies totaling 960 early-onset CRC patients, the frequency of dMMR CRC ranged from 8.4% to 19.1%. The confirmed prevalence of LS among all young-onset CRC was between 5.0% and 5.9% in three studies but reached 8.9% in another and 5.1% in yet another. Across all studies, the presence of right-sided tumors and histopathological features such as tumor-infiltrating lymphocytes were more common in dMMR cancers. Incorporation of MLH1-promoter hypermethylation and/or BRAF V600E mutation testing aided discrimination of sporadic dMMR CRC from germline LS cases. Conclusions: The prevalence of LS in CRC patients younger than 50 is clinically significant, at approximately 5–9%. Routine IHC-based MMR screening is both feasible and effective for detecting LS in early-onset CRC. Further research is needed to standardize universal testing protocols, delineate the role of additional molecular assays, and ensure comprehensive genetic counseling for at-risk individuals.

1. Introduction

Early-onset colorectal cancer (CRC), typically defined as diagnosis before age 50, has generated growing interest because of rising incidence in younger cohorts and the possibility of hereditary syndromes such as Lynch syndrome (LS) [1,2]. Lynch syndrome, also referred to as hereditary nonpolyposis colorectal cancer (HNPCC), is an autosomal dominant disorder caused by germline mutations in DNA mismatch repair (MMR) genes, most frequently MLH1 and MSH2, but also MSH6 and PMS2 [3,4]. Loss of MMR function leads to microsatellite instability (MSI) and unique pathological features in the associated tumors [5]. Although LS accounts for an estimated 1% to 3% of all CRC cases overall, the proportion in early-onset CRC populations is considerably higher [6]. Given the significant lifetime cancer risk for LS carriers—including colorectal, endometrial, gastric, ovarian, and other malignancies—timely identification of affected individuals is paramount [7]. Studies have shown that universal tumor testing or targeted testing of younger patients using immunohistochemistry (IHC) or MSI testing can improve LS detection rates [8]. However, the precise yield of these approaches, especially in the under-50 CRC cohort, varies by region and testing protocols [9].
An important factor complicating LS identification is that many patients with a germline MMR mutation do not present with a strong family history of cancer [10]. Family structures are smaller in modern times, and incomplete penetrance can obscure the pattern of inheritance [11]. As a result, reliance on clinical criteria such as the revised Amsterdam or Bethesda guidelines alone can fail to capture a substantial subset of Lynch syndrome carriers [12]. To address this, several groups have called for universal or near-universal screening for MMR deficiency (dMMR) in newly diagnosed CRC cases [13]. Yet, resource constraints or competing clinical demands may limit fully universal protocols in certain settings. As a compromise, focusing on patients younger than 50 years—among whom LS is enriched—is commonly advocated [6]. IHC-based screening for the four key MMR proteins (MLH1, MSH2, MSH6, and PMS2) is considered a robust, cost-effective method in these younger CRC patients [14].
Clinically, CRC tumors that are MMR-deficient often display right-sided location, high-grade histology, tumor-infiltrating lymphocytes, and a mucinous or medullary phenotype [15,16]. Moreover, IHC can guide the specific gene likely to be mutated because loss of MLH1 typically co-occurs with PMS2 loss, while MSH2 deficiency often accompanies MSH6 loss [17]. However, not all dMMR in younger patients indicates LS. Sporadic epigenetic silencing of MLH1—usually confirmed by MLH1 promoter hypermethylation—and presence of BRAF V600E mutations represent key alternative pathways in a fraction of cases [5]. These sporadic dMMR tumors share some phenotypic similarities with LS tumors but carry distinct clinical management implications, as there is no germline heritable cause [18]. Thus, for a patient exhibiting absent MLH1/PMS2, reflex MLH1 hypermethylation testing and/or BRAF analysis can help differentiate sporadic from hereditary disease [19].
Referring patients with suspicious IHC findings for definitive germline testing is crucial to confirm or exclude LS [4]. Such genetic workups rely on methods including Sanger sequencing and multiplex ligation-dependent probe amplification (MLPA), although next-generation sequencing (NGS) approaches are increasingly employed [7,8]. When LS is confirmed, the impact on clinical management is profound. Enhanced colonoscopic surveillance can reduce CRC mortality, and prophylactic or earlier interventions may be considered for extracolonic malignancies [9,10]. Moreover, cascade testing among first-degree relatives can identify other at-risk individuals who may benefit from similarly intensive screening [13,14]. Despite these benefits, some patients with abnormal IHC results do not proceed to genetic counseling or testing, often due to logistical or psychosocial barriers [15]. Consequently, a notable proportion of LS cases might remain undiagnosed even when tumor testing reveals dMMR [5].
In recent years, multiple investigators have documented the prevalence of dMMR in younger-onset CRC, reporting figures ranging from ~8% to >20% of these patients, depending on clinical inclusion criteria and local population genetics [16,17]. Of these dMMR tumors, approximately one-half or more may be confirmed as LS upon thorough molecular analysis [18]. Although universal screening programs in Western countries show promise, they are not universally implemented, especially in settings where reimbursement or infrastructure remains limited [20,21]. Therefore, focusing on systematically testing CRC patients under 50 for MMR deficiency remains a practical step in high-volume centers or resource-limited healthcare systems, particularly given the enriched yield of germline mutations in this population [5]. This systematic review aimed to estimate the prevalence of MMR deficiency and confirmed LS in young patients diagnosed with CRC before the age of 50 and examine immunohistochemistry mismatch repair testing patterns and associated molecular findings (BRAF mutations, MLH1 promoter hypermethylation, somatic MMR gene alterations).

2. Materials and Methods

2.1. Eligibility Criteria and Research Question

This systematic review aimed to identify studies that specifically examined IHC detection of MMR deficiency in patients younger than 50 diagnosed with CRC. We included original research that provided (1) a consecutive or representative series of early-onset CRC cases (diagnosed at ages < 50), (2) details on the frequency of IHC loss of expression of at least MLH1 and MSH2 (preferably including MSH6 and PMS2), (3) data on subsequent germline mutation testing or at least differentiation between sporadic MMR deficiency (e.g., MLH1 promoter methylation) and true Lynch syndrome (LS) with germline mutation, and (4) numerical outcomes regarding the proportion of confirmed LS. We excluded studies primarily focusing on pediatric CRC (younger than age 18) or those investigating only MSI without immunohistochemistry. Additionally, reviews or meta-analyses without unique patient data, purely in vitro or preclinical articles, conference proceedings without full methods or results, and single-patient case reports were excluded.
Our primary research question was “What is the reported prevalence of mismatch repair-deficient (dMMR) colorectal cancers and confirmed LS in patients younger than 50, based on IHC screening approaches?” Secondary questions concerned (i) how often sporadic MLH1 promoter hypermethylation or a BRAF V600E mutation was found among dMMR tumors; (ii) which clinicopathologic features (e.g., tumor sidedness, mucinous histology, tumor-infiltrating lymphocytes) were associated with dMMR; and (iii) the proportion of patients with abnormal IHC who underwent confirmatory germline testing.
This systematic review synthesizes evidence from five pertinent studies that investigated IHC-based tumor testing in patients diagnosed with CRC before age 50. We examine (1) the prevalence of dMMR in these young CRC cohorts, (2) the proportion of patients who eventually received confirmatory germline testing, (3) the fraction diagnosed with LS, and (4) the role of ancillary molecular tests such as MLH1 promoter hypermethylation or BRAF V600E analysis [22]. By comparing these cohorts, we aim to clarify patterns of MMR deficiency, highlight the real-world implementation of screening protocols, and underscore key best practices for prompt genetic evaluation. Ultimately, understanding how different centers achieve early LS detection in this younger CRC subgroup can inform refinements to local protocols, driving better patient outcomes and more comprehensive prevention strategies for familial cancer [23].

2.2. Literature Search Strategy

The current study followed the PRISMA protocol for systematic reviews and was registered to the Open Science Framework (OSF), with the registration code osf.io/fc7wd. To identify potential articles, we developed a search strategy focusing on early-onset CRC, mismatch repair immunohistochemistry, and Lynch syndrome, as presented in Figure 1. While for the present review we highlight five key studies specifically provided for analysis, we also describe how a typical broad search might be undertaken.
We searched PubMed, EMBASE, and Web of Science using a combination of medical subject headings (MeSH) and free-text terms. Key search terms were “Colorectal Cancer”, “Early-onset”, “Young”, “Immunohistochemistry”, “Mismatch repair deficiency”, “Lynch syndrome”, “Hereditary nonpolyposis colorectal cancer”, “MLH1”, “MSH2”, “MSH6”, and “PMS2”. Boolean operators (AND/OR) were used to intersect or combine relevant concepts. The search was restricted to human studies published in English up until December 2024. Two reviewers independently screened the titles and abstracts. Any article suspected of fulfilling the inclusion criteria underwent full-text review. Disagreements regarding inclusion were resolved by consensus or via consultation with a third reviewer (Author C). We also examined reference lists of articles that met inclusion criteria for additional eligible studies.

2.3. Data Extraction and Outcomes of Interest

Data extraction concentrated on study design, location and timeframe, total sample size, number of early-onset CRC cases with IHC performed, numbers with lost expression of MMR proteins, the proportion verified to have LS via germline testing, and any additional molecular analyses like BRAF V600E or MLH1 promoter methylation. We also recorded relevant clinical details, including tumor location (right-sided vs. left-sided), presence of multiple synchronous or metachronous lesions, and other histopathological characteristics.
We further collected data on the rate of referral for genetic counseling following abnormal IHC, the fraction of patients who pursued confirmatory genetic testing, and the breakdown of identified germline mutations in MLH1, MSH2, MSH6, and PMS2. Where provided, we included age distribution, sex ratio, and family history details. Additionally, we noted if pathologists performed partial IHC panels (e.g., MLH1 + MSH2) or the full four-protein panel that includes MSH6 and PMS2. For each included study, any mention of MLH1 promoter hypermethylation or BRAF mutation testing was noted, especially as it might inform the classification of sporadic versus LS dMMR.
Two reviewers abstracted these data independently; a third reviewer assessed any disagreements. Extracted data were compiled into standardized forms. Finally, we aggregated the main outcomes, focusing on the percentage of early-onset CRC explained by LS, the frequency of sporadic dMMR, and how many patients ultimately underwent confirmatory germline testing. All extracted data were cross-verified to minimize transcription errors.
Because of notable methodological variation (differences in IHC protocols, partial vs. full protein panels, and differential use of molecular confirmatory tests), we opted not to generate a pooled meta-analytic estimate of prevalence. Instead, we performed a descriptive synthesis. Each study’s data on IHC results and the proportion of LS among early-onset CRC were tabulated and compared. We highlight the distribution of MMR proteins lost, the frequency of proven somatic events (e.g., MLH1 promoter hypermethylation, BRAF V600E), and the yield of confirmed germline mutations.

2.4. Quality Assessment and Risk of Bias

The included articles were predominantly observational cohorts from single centers or multiple centers. We used a modified Newcastle–Ottawa Scale (NOS) to gauge the methodological quality and risk of bias. Specifically, we assessed the (1) selection of study population, ensuring consecutive or well-defined recruitment of CRC patients <50; (2) ascertainment of exposure (i.e., methods used to confirm LS or dMMR); (3) demonstration that the outcome of interest (LS diagnosis) was not present at the start; (4) adequacy of follow-up, particularly how many abnormal IHC cases proceeded to germline testing; and (5) clarity of reporting regarding confounding variables such as family history or concurrent conditions like ulcerative colitis.
We considered potential biases such as incomplete immunohistochemistry for all four MMR proteins in certain years, or lack of consistent BRAF or methylation testing to exclude sporadic dMMR. Each study was rated independently by two authors for each NOS domain, awarding stars for low risk of bias. An overall rating for each study was produced, and any disagreements were resolved through discussion. Although formal meta-analysis was not performed due to heterogeneity and the small number of studies, evaluating these aspects provided clarity on how representative and reliable each study’s reported prevalence might be.

3. Results

Table 1 outlines essential features of each of the five included studies [24,25,26,27,28], illustrating their geographical spread and differences in the methods employed for MMR testing. Notably, the sample sizes of patients under 50 range from as few as 25 in Study 1 [24] to as many as 281 in Study 2 [25]. However, it is important to clarify that Study 1 (Mensenkamp et al. [24]) specifically analyzed 25 “unexplained” MSI-positive tumors without a known germline cause. This narrower focus means that although the study population was smaller, they used additional next-generation sequencing and somatic analyses to identify biallelic events.
Each study utilized IHC as a central screening mechanism, but the actual protocols varied. Study 1 [24] included MSI testing first and then used IHC or extended DNA analysis for selected cases. Studies 2 through 5 primarily used IHC, sometimes in combination with partial MSI or additional markers, to narrow down which tumors might harbor germline mutations [25,26,27,28]. Over time, the availability of robust antibodies for MSH6 and PMS2 expanded, so older cohorts, like in Study 2 [25] and part of Study 5 [28], sometimes tested for only MLH1 and MSH2, potentially missing or under-detecting rare isolated MSH6 or PMS2 deficiency.
All studies mention at least sporadic testing for BRAF V600E or MLH1 promoter hypermethylation in tumors showing MLH1/PMS2 loss, recognizing the significance of these markers in distinguishing sporadic from inherited MMR deficiency. The approach varied, but typically, if a tumor showed MLH1/PMS2 deficiency and either BRAF positivity or hypermethylation, it was considered likely sporadic, and germline testing was discouraged or pursued only if clinical suspicion remained high. Finally, the table highlights how germline testing was carried out. Typically, Sanger sequencing was employed, sometimes followed by MLPA for large deletions in MLH1 or MSH2. Studies 1 and 4 mention advanced next-generation sequencing or IonTorrent for certain subsets, reflecting an evolving methodology [24,27].
Table 2 focuses on the core question: among patients diagnosed with CRC before age 50, what fraction exhibit immunohistochemical mismatch repair deficiency (dMMR), and how many are ultimately confirmed to have Lynch syndrome (LS)? Direct prevalence comparisons must be interpreted cautiously because each study applied slightly different inclusion criteria. For instance, Study 1 (Mensenkamp et al. [24]) only analyzed 25 tumors previously identified as MSI-positive but “unexplained” by standard testing. Within that highly selected subset, 13 of 25 (52%) had two somatic mutations. Notably, no germline mutations were identified among them, so the “confirmed LS” was 0%. This perspective is unique, as Study 1 is about elucidating somatic hits in MSI-positive, germline-negative CRC [24].
By contrast, Study 2 (Niessen et al. [25]) had 281 patients younger than 50, finding 25 (8.9%) with dMMR, all of whom turned out to harbor a pathogenic germline mutation. Thus, the fraction of LS among their total <50 population is also 8.9%. Study 3 (Steinhagen et al. [26]) tested 198 early-age CRC patients, showing a higher rate of dMMR (19.1%), but among those, only 10 (5.1% of the total cohort) had confirmed germline mutations. Some of the dMMR cases turned out to be sporadic, typically associated with MLH1 hypermethylation or BRAF V600E, or they had variants of uncertain significance (VUS). Similarly, Study 4 (Suzuki et al. [27]) found 10 patients (8.4%) with dMMR among 119 < 50 CRC cases, of which 7 had LS (5.9%). The remainder had sporadic MLH1 hypermethylation or inconclusive results.
Finally, Study 5 (Wright et al. [28]) from New Zealand documented 33 (14%) with dMMR among 243 younger-onset CRC. Confirmatory germline testing yielded 12 with LS (5.0% of the entire population). The difference in the proportions of dMMR vs. LS can often be attributed to sporadic epigenetic MLH1 loss or incomplete test follow-up. Collectively, these data suggest that roughly 8% to 20% of early-onset CRC demonstrates dMMR. However, the final proportion proven to be LS ranges more narrowly between 5% and 9% in large cohorts, highlighting the importance of additional molecular tests to distinguish sporadic from inherited disease.
Table 3 summarizes clinicopathologic findings that were often explored to see if they correlated with mismatch repair deficiency in young-onset CRC. The presence of right-sided (proximal) colonic tumors emerges as a recurring feature. Studies 2, 3, 4, and 5 each reported that a majority (from around 53% up to 80%) of dMMR tumors were located in the right colon, reinforcing earlier observations that Lynch syndrome-associated CRC tends to be right-sided [25,26,27,28].
Another potential histologic marker is the presence of tumor-infiltrating lymphocytes (TILs) or Crohn-like lymphoid reactions. In the setting of dMMR, the accumulation of frameshift peptides can provoke local immunologic responses. Three of these studies reported TILs in more than half of the dMMR cases, although percentages varied. Notably, Study 5’s proportion is somewhat lower (39%), perhaps reflecting differences in pathologist reporting or thresholds for diagnosing a “significant” infiltration [28].
Mucinous or signet-ring differentiation is another recognized feature in dMMR. Studies 3 and 4 reported that up to 50% of dMMR tumors contained mucinous or signet elements, consistent with prior research linking LS and MSI-high tumors to mucinous histology [26,27]. In contrast, Study 2 had a lower rate (20%), suggesting that while mucinous features are important, they are not universal [25].
Finally, the presence of a family history (particularly in a first-degree relative) of early CRC or other Lynch-associated malignancies is historically a central screening criterion. Studies 2, 3, 4, and 5 all indicated moderate to high rates (40–76%) of suspicious family histories among dMMR carriers, but it is noteworthy that a significant fraction of patients with proven LS sometimes lack a robust family history because of small family sizes or incomplete reporting [25,26,27,28].
Table 4 addresses crucial elements of how abnormal immunohistochemistry (IHC) findings translate into confirmatory genetic testing and outcomes [27]. Each study faced the challenge of motivating clinicians and patients to proceed from suspicious IHC results to definitive germline MMR testing. The table reveals that the proportion of patients with abnormal IHC who underwent germline testing varied considerably: 57.8% (Study 3 [26]); 67% (Study 5 [28]); 80% (Study 4 [27]); and 100% in Study 2 [25]. Study 1 [24] used a design that specifically analyzed “unexplained” MSI-positive tumors, effectively a subset that had negative initial germline screening but warranted deeper somatic analysis.
Among those who proceeded to testing, the yield of germline mutations was also variable. In Study 2 [25], all 25 dMMR patients tested were found to have a pathogenic mutation, implying that the entire dMMR subset was indeed LS. In Study 4 [27], 7 of 8 tested had confirmed LS, a rate of 88%. Meanwhile, in Studies 3 and 5, rates of 46% and 45% were found among those tested. Even so, each study highlighted that many abnormal IHC results reflect sporadic dMMR, particularly via MLH1 promoter hypermethylation or BRAF V600E mutation. Studies 3 and 4 detail how these molecular analyses can reclassify a portion of dMMR tumors as sporadic.
A consistent theme is that some fraction of patients with abnormal IHC are never referred or tested. Study 5 [28], for instance, found seven patients not referred; in some cases, the advanced stage of disease or short survival overshadowed genetic concerns. Although acceptance of genetic testing was generally high once patients reached counseling, bridging that gap remains an implementation challenge in real-world settings.

4. Discussion

4.1. Summary of Evidence

The five studies examined in this review highlight how mismatch repair immunohistochemistry can serve as a front-line screening tool for detecting Lynch syndrome in CRC patients younger than 50. Despite variability in protocols—like differences in the subset of MMR proteins tested, the availability of complementary molecular markers, and the thoroughness of referral for genetic testing—each study consistently demonstrated that a subset of approximately 8% to 20% of early-onset CRC patients harbor dMMR tumors. Among these dMMR cases, the ultimate fraction confirmed as LS typically settles around 5% to 9% when universal or near-universal tumor screening and subsequent germline testing are fully implemented. This wide range partially reflects differences in the thoroughness of investigating sporadic vs. hereditary dMMR. For example, the presence of BRAF V600E or MLH1 hypermethylation accounts for a large majority of sporadic dMMR with absent MLH1/PMS2. The results across studies underscore that sporadic dMMR, though less common in younger populations than in older, remains significant enough that reflex confirmatory tests are needed.
A second major finding is that partial immunohistochemistry panels—limiting testing to MLH1 and MSH2 alone—can miss isolated MSH6 or PMS2 defects. While still valuable historically, partial screening seems less ideal in contemporary practice. Indeed, diagnosing MSH6 or PMS2 deficiency is important since these variants, though sometimes associated with a later onset than MLH1 or MSH2, still carry significant cancer risks. Another noteworthy point is the incomplete referral to genetic counseling. As the studies from The Netherlands, Japan, New Zealand, and the United States show, many patients with abnormal IHC were never tested or referred. Some were lost to follow-up or died of advanced disease. This gap can be detrimental, given the downstream implications for relatives who could benefit from cancer risk reduction strategies if LS is identified. Encouragingly, in some institutions, once patients or families reached genetic services, acceptance of germline testing was relatively high.
Third, these data underscore the relevance of tumor location (particularly right-sided), pathologic features such as tumor-infiltrating lymphocytes or medullary growth, and mention of suspicious family histories. While universal screening strategies increasingly do not rely on these features for triage, the presence of such markers can strengthen the rationale for ensuring that all younger patients receive IHC or MSI testing. As recommended by multiple guidelines, linking pathologists, surgeons, and oncologists is crucial so that these distinct features prompt timely molecular testing. Additionally, the presence of relevant family history, even if incomplete, can guide more robust genetic evaluation. The ultimate goal is to avoid missing individuals with inherited predisposition who can significantly benefit from tailored surveillance of the colon and other LS-related malignancies.
Finally, we observe an evolving shift in practice toward universal IHC testing for all CRC, not just those younger than 50, especially in high-volume academic centers. Studies have shown that 30% to 70% of LS patients might be missed if screening is restricted purely by age. Nonetheless, focusing on early-onset CRC remains a practical approach when resources are constrained. The five studies collectively reinforce the feasibility of systematically integrating IHC into routine pathology workflows for younger CRC. The benefits are clear; a meaningful fraction of new LS probands are identified, who can in turn help relatives receive appropriate genetic counseling and potentially life-saving screening. As next-generation sequencing panels become more available, future directions may streamline the distinction between sporadic dMMR and germline cases, as illustrated by some advanced approaches in these cohorts. Ultimately, bridging the gap between IHC findings, molecular confirmation, and immediate referral remains an ongoing challenge, but these studies highlight the positive clinical impact for young CRC populations
In the investigation of Lynch syndrome detection in CRC, two pivotal studies offer significant insights into the effectiveness of current screening methodologies. The study by Buchanan et al. [29] involved tumor testing for mismatch repair deficiency in two Australian CRC cohorts totaling 1639 patients diagnosed before the age of 60. This analysis revealed that 11.1% of the ACCFR cohort and 12.5% of the MCCS cohort exhibited MMR deficiency. Germline mutations were identified in 5.2% of the ACCFR group and only 0.8% in the MCCS group, highlighting a substantial variance in genetic mutation prevalence between these cohorts. A notable 41.1% and 25.2% of MMR-deficient tumors in the ACCFR and MCCS cohorts, respectively, were classified as Lynch-like, indicating an unknown etiology despite the absence of MLH1 methylation.
In a similar manner, the study by Canard et al. [30] evaluated the efficacy of LS screening in an unselected population of 1040 CRC patients undergoing surgery. Their findings indicated that 9.8% demonstrated a loss of MMR protein expression, and 9.4% exhibited microsatellite instability (MSI). Importantly, while 67.2% of cases with loss of MLH1 expression were due to promoter methylation, 65.8% of those undergoing genetic sequencing were confirmed to have a germline mutation, underscoring the critical role of comprehensive IHC and MSI testing in identifying LS, even among those who did not meet the Bethesda criteria.
Castillejo et al. [31] focused on the prevalence of MLH1 constitutional epimutations among CRC patients, distinguishing between unselected (n = 2123) and selected series (n = 847) who met the revised Bethesda guidelines. Their findings demonstrated a significant difference in the loss of MLH1 expression—5.5% in the unselected series compared to 12.5% in the selected series, with constitutional epimutations only detected in the latter group (15.6% or 5 out of 32 cases). This suggests that screening for MLH1 epimutations should be reserved for those showing clinical indications of LS per existing guidelines.
In a similar manner, the study by Chiaravalli et al. [32] explored the efficacy of universal immunohistochemical screening in a cohort of 352 consecutive CRC patients in Northern Italy. They found mismatch repair defects in 19.8% of cases, with a notable incidence of Lynch syndrome (1 in 173). The study not only reinforced the utility of IHC as an efficient method for LS screening but also demonstrated a significant patient compliance (36.8%) to genetic counseling when patients were identified through universal screening protocols.
The studies by Cavazza et al. [33] and Chika et al. [34] offer insightful perspectives into the implementation and outcomes of universal testing for Lynch syndrome in colorectal cancer patients across different geographic and healthcare settings. Cavazza et al. [33] detailed the adoption of universal mismatch repair testing in the United Kingdom, following the NICE guideline DG27, across a cohort of 198 CRC patients. Their findings showed that 11.6% (23 out of 198) of the cases were MMR-deficient, primarily in early-stage tumors, demonstrating the feasibility and efficacy of universal testing in identifying potential LS cases for personalized treatment strategies.
In a similar manner, the study by Chika et al. [34] explored the prevalence of LS and Lynch-like syndrome among a large cohort of 1234 Japanese CRC patients using a universal screening approach that included immunohistochemical analysis for MMR proteins, followed by BRAF V600E mutation and MLH1 promoter methylation analysis. They identified a significantly lower prevalence of LS, with only 0.9% (11 patients) being candidates for genetic testing, of which 0.7% (9 patients) were confirmed as LS cases. This starkly contrasts with Cavazza et al.’s findings in terms of the proportion of affected individuals, highlighting potential ethnic and methodological differences in LS prevalence and detection.

4.2. Limitations

Our review carries several important caveats that warrant emphasis before its findings are translated into practice. First, the evidence base remains narrow—only five heterogeneous cohort studies met our inclusion criteria, most drawn from high-income, specialist centers—consequently, the pooled early-onset CRC sample of 960 patients is unlikely to capture geographic, ethnic and health-system variability, and publication bias toward well-resourced programs cannot be excluded. Second, methodological heterogeneity—partial versus complete four-antibody IHC panels, variable reflex testing for MLH1 hypermethylation or BRAF V600E, and inconsistent uptake of germline sequencing—limits direct comparison across studies and may have led to both over- and under-estimation of true LS prevalence. Third, between 20 % and 42 % of individuals with abnormal IHC were never genotyped, so the proportion of sporadic versus hereditary dMMR remains uncertain; this gap highlights real-world implementation barriers (short survival, referral delays, cost) that our aggregate data could not correct for. Fourth, none of the included studies provided long-term oncologic or psychosocial outcomes, preventing assessment of whether earlier LS detection through IHC screening translates into improved survival or cascade testing among relatives. Finally, we did not perform a formal meta-analysis because of these methodological discrepancies, which limits the statistical precision of our prevalence estimates.

5. Conclusions

In summary, these five studies collectively indicate that among CRC patients under age 50, approximately 8% to 20% display IHC evidence of mismatch repair deficiency, and roughly 5% to 9% ultimately prove to have Lynch syndrome on germline testing. Routine IHC-based screening, augmented by BRAF V600E and MLH1 promoter methylation analysis, effectively differentiates sporadic from inherited dMMR. Our findings underscore the importance of systematically applying tumor-based screening in younger CRC patients to ensure timely referral for genetic counseling. As universal testing gains momentum worldwide, it is paramount to have robust follow-up systems for confirmatory genetic testing, enabling preventive interventions for both patients and at-risk relatives.

Author Contributions

Conceptualization, A.C.I.; methodology, A.C.I.; software, A.C.I., B.A.M., F.M. and P.O.M.; validation, D.N.; formal analysis, D.N., B.A.M., F.M. and P.O.M.; investigation, D.N.; resources, D.N.; data curation, C.B., B.A.M., F.M. and P.O.M.; writing—original draft preparation, A.C.I.; writing—review and editing, C.B., B.A.M., F.M. and P.O.M.; visualization, C.B.; supervision, C.B.; project administration, C.B. All authors have read and agreed to the published version of the manuscript.

Funding

The APC for this study was supported by “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors used ChatGPT v4.0, an AI language model developed by OpenAI (San Francisco, CA, USA), exclusively to improve the manuscript’s language and readability. All the scientific content, interpretations, and conclusions are the original work of the authors.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Bray, F.; Ferlay, J.; Soerjomataram, I.; Siegel, R.L.; Torre, L.A.; Jemal, A. Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin. 2018, 68, 394–424. [Google Scholar] [CrossRef]
  2. Shaukat, A.; Kahi, C.J.; Burke, C.A.; Rabeneck, L.; Sauer, B.G.; Rex, D.K. ACG Clinical Guidelines: Colorectal Cancer Screening 2021. Am. J. Gastroenterol. 2021, 116, 458–479. [Google Scholar] [CrossRef]
  3. Vasen, H.F.; Watson, P.; Mecklin, J.P.; Lynch, H.T. New Clinical Criteria for Hereditary Nonpolyposis Colorectal Cancer (HNPCC, Lynch Syndrome) Proposed by the International Collaborative Group on HNPCC. Gastroenterology 1999, 116, 1453–1456. [Google Scholar] [CrossRef]
  4. Giardiello, F.M.; Allen, J.I.; Axilbund, J.E.; Boland, C.R.; Burke, C.A.; Burt, R.W.; Church, J.M.; Dominitz, J.A.; Johnson, D.A.; Kaltenbach, T.; et al. Guidelines on Genetic Evaluation and Management of Lynch Syndrome: A Consensus Statement by the US Multi-Society Task Force on Colorectal Cancer. Gastroenterology 2014, 147, 502–526. [Google Scholar] [CrossRef]
  5. Lipton, L.R.; Johnson, V.; Cummings, C.; Fisher, S.; Risby, P.; Eftekhar Sadat, A.T.; Cranston, T.; Izatt, L.; Sasieni, P.; Hodgson, S.V.; et al. Refining the Amsterdam Criteria and Bethesda Guidelines: Testing algorithms for the prediction of mismatch repair mutation status in the familial cancer clinic. J. Clin. Oncol. 2004, 22, 4934–4943. [Google Scholar] [CrossRef]
  6. Umar, A.; Boland, C.R.; Terdiman, J.P.; Syngal, S.; Chapelle, A.D.L.; Rüschoff, J.; Fishel, R.; Lindor, N.M.; Burgart, L.J.; Hamelin, R.; et al. Revised Bethesda Guidelines for Hereditary Nonpolyposis Colorectal Cancer (Lynch Syndrome) and Microsatellite Instability. J. Natl. Cancer Inst. 2004, 96, 261–268. [Google Scholar] [CrossRef]
  7. Bhattacharya, P.; Leslie, S.W.; McHugh, T.W. Lynch Syndrome (Hereditary Nonpolyposis Colorectal Cancer). In StatPearls; StatPearls Publishing: Treasure Island, Finland, 2025. Available online: https://www.ncbi.nlm.nih.gov/books/NBK431096/ (accessed on 3 March 2025).
  8. Valle, L.; Vilar, E.; Tavtigian, S.V.; Stoffel, E.M. Genetic Predisposition to Colorectal Cancer: Syndromes, Genes, Classification of Genetic Variants and Implications for Precision Medicine. J. Pathol. 2019, 247, 574–588. [Google Scholar] [CrossRef]
  9. de Vos tot Nederveen Cappel, W.H.; Buskens, E.; van Duijvendijk, P.; Cats, A.; Menko, F.H.; Griffioen, G.; Slors, J.F.; Nagengast, F.M.; Kleibeuker, J.H.; Vasen, H.F. Decision analysis in the surgical treatment of colorectal cancer due to a mismatch repair gene defect. Gut 2003, 52, 1752–1755. [Google Scholar] [CrossRef]
  10. Engel, C.; Loeffler, M.; Steinke, V.; Rahner, N.; Holinski-Feder, E.; Dietmaier, W.; Schackert, H.K.; Goergens, H.; Doeberitz, M.v.K.; Goecke, T.O.; et al. Risks of Less Common Cancers in Proven Mutation Carriers with Lynch Syndrome. J. Clin. Oncol. 2012, 30, 4409–4415. [Google Scholar] [CrossRef]
  11. Dominguez-Valentin, M.; Sampson, J.R.; Seppälä, T.T.; ten Broeke, S.W.; Plazzer, J.-P.; Nakken, S.; Engel, C.; Aretz, S.; Jenkins, M.A.; Sunde, L.; et al. Cancer Risks by Gene, Age, and Gender in 6350 Carriers of Pathogenic Mismatch Repair Variants: Findings from the Prospective Lynch Syndrome Database. Genet. Med. 2020, 22, 15–25. [Google Scholar] [CrossRef]
  12. Stoffel, E.M.; Murphy, C.C. Epidemiology and Mechanisms of the Increasing Incidence of Colon and Rectal Cancers in Young Adults. Gastroenterology 2020, 158, 341–353. [Google Scholar] [CrossRef]
  13. Siegel, R.L.; Miller, K.D.; Sauer, A.G.; Fedewa, S.A.; Butterly, L.F.; Anderson, J.C.; Cercek, A.; Smith, R.A.; Jemal, A. Colorectal Cancer Statistics, 2020. CA Cancer J. Clin. 2020, 70, 145–164. [Google Scholar] [CrossRef]
  14. Barrow, E.; Hill, J.; Evans, D.G. Cancer risk in Lynch Syndrome. Fam. Cancer 2013, 12, 229–240. [Google Scholar] [CrossRef]
  15. Win, A.K.; Jenkins, M.A.; Dowty, J.G.; Antoniou, A.C.; Lee, A.; Giles, G.G.; Buchanan, D.D.; Clendenning, M.; Rosty, C.; Ahnen, D.J.; et al. Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer. Cancer Epidemiol. Biomark. Prev. 2017, 26, 404–412. [Google Scholar] [CrossRef]
  16. Vilar, E.; Tabernero, J. Molecular dissection of microsatellite instable colorectal cancer. Cancer Discov. 2013, 3, 502–511. [Google Scholar] [CrossRef]
  17. Hampel, H.; Frankel, W.L.; Martin, E.; Arnold, M.; Khanduja, K.; Kuebler, P.; Nakagawa, H. Screening for the Lynch Syndrome (Hereditary Nonpolyposis Colorectal Cancer). N. Engl. J. Med. 2005, 352, 1851–1860. [Google Scholar] [CrossRef] [PubMed]
  18. Buchanan, D.D.; Tan, Y.Y.; Walsh, M.D.; Clendenning, M.; Metcalf, A.M.; Ferguson, K.; Arnold, S.T.; Thompson, B.A.; Lose, F.A.; Parsons, M.T.; et al. Tumor mismatch repair immunohistochemistry and DNA MLH1 methylation testing of patients with endometrial cancer diagnosed at age younger than 60 years optimizes triage for population-level germline mismatch repair gene mutation testing. J. Clin. Oncol. 2014, 32, 90–100. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  19. Moreira, L.; Balaguer, F.; Lindor, N.; De La Chapelle, A.; Hampel, H.; Aaltonen, L.A.; Hopper, J.L.; Le Marchand, L.; Gallinger, S.; Newcomb, P.A.; et al. Identification of Lynch Syndrome Among Patients with Colorectal Cancer. JAMA 2012, 308, 1555–1565. [Google Scholar] [CrossRef]
  20. Møller, P.; Seppälä, T.T.; Bernstein, I.; Holinski-Feder, E.; Sala, P.; Gareth Evans, D.; Lindblom, A.; Macrae, F.; Blanco, I.; Sijmons, R.H.; et al. Cancer risk and survival in path_MMR carriers by gene and gender up to 75 years of age: A report from the Prospective Lynch Syndrome Database. Gut 2018, 67, 1306–1316, Erratum in Gut 2020, 69, e4. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  21. South, C.D.; Yearsley, M.; Martin, E.; Arnold, M.; Frankel, W.; Hampel, H. Immunohistochemistry staining for the mismatch repair proteins in the clinical care of patients with colorectal cancer. Genet. Med. 2009, 11, 812–817. [Google Scholar] [CrossRef] [PubMed]
  22. Barzi, A.; Lenz, H.J.; Quinn, D.I.; Sadeghi, S. Comparative effectiveness of screening strategies for colorectal cancer. Cancer 2017, 123, 1516–1527. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  23. Vasen, H.F.A.; Blanco, I.; Aktan-Collan, K.; Gopie, J.P.; Alonso, A.; Aretz, S.; Bernstein, I.; Bertario, L.; Burn, J.; Capella, G.; et al. Revised Guidelines for the Clinical Management of Lynch Syndrome (HNPCC): Recommendations by a Group of European Experts. Gut 2013, 62, 812–823. [Google Scholar] [CrossRef]
  24. Mensenkamp, A.R.; Vogelaar, I.P.; van Zelst–Stams, W.A.; Goossens, M.; Ouchene, H.; Hendriks–Cornelissen, S.J.; Kwint, M.P.; Hoogerbrugge, N.; Nagtegaal, I.D.; Ligtenberg, M.J. Somatic Mutations in MLH1 and MSH2 Are a Frequent Cause of Mismatch-Repair Deficiency in Lynch Syndrome–Like Tumors. Gastroenterology 2014, 146, 643–646. [Google Scholar] [CrossRef] [PubMed]
  25. Niessen, R.C.; Berends, M.J.; Wu, Y.; Sijmons, R.H.; Hollema, H.; Ligtenberg, M.J.; de Walle, H.E.; de Vries, E.G.; Karrenbeld, A.; Buys, C.H.; et al. Identification of mismatch repair gene mutations in young patients with colorectal cancer and in patients with multiple tumours associated with hereditary non-polyposis colorectal cancer. Gut 2006, 55, 1781–1788. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  26. Steinhagen, E.; Shia, J.; Markowitz, A.J.; Stadler, Z.K.; Salo-Mullen, E.E.; Zheng, J.; Lee-Kong, S.A.; Nash, G.M.; Offit, K.; Guillem, J.G. Systematic Immunohistochemistry Screening for Lynch Syndrome in Early Age-of-Onset Colorectal Cancer Patients Undergoing Surgical Resection. J. Am. Coll. Surg. 2012, 214, 61–67. [Google Scholar] [CrossRef] [PubMed]
  27. Suzuki, O.; Eguchi, H.; Chika, N.; Sakimoto, T.; Ishibashi, K.; Kumamoto, K.; Tamaru, J.-I.; Tachikawa, T.; Akagi, K.; Arai, T.; et al. Prevalence and Clinicopathologic/Molecular Characteristics of Mismatch Repair-Deficient Colorectal Cancer in the Under-50-Year-Old Japanese Population. Surg. Today 2017, 47, 1135–1143. [Google Scholar] [CrossRef]
  28. Wright, D.M.; Arnold, J.L.; Parry, B.; Hulme-Moir, M.; Winship, I.M.; Parry, S. Immunohistochemistry to Detect Hereditary Nonpolyposis Colorectal Cancer in Young Patients: The 7-Year Auckland Experience. Dis. Colon Rectum 2011, 54, 552–558. [Google Scholar] [CrossRef]
  29. Buchanan, D.D.; Clendenning, M.; Rosty, C.; Eriksen, S.V.; Walsh, M.D.; Walters, R.J.; Thibodeau, S.N.; Stewart, J.; Preston, S.; Win, A.K.; et al. Tumor testing to identify lynch syndrome in two Australian colorectal cancer cohorts. J. Gastroenterol. Hepatol. 2017, 32, 427–438. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  30. Canard, G.; Lefevre, J.H.; Colas, C.; Coulet, F.; Svrcek, M.; Lascols, O.; Hamelin, R.; Shields, C.; Duval, A.; Fléjou, J.F.; et al. Screening for Lynch syndrome in colorectal cancer: Are we doing enough? Ann. Surg. Oncol. 2012, 19, 809–816. [Google Scholar] [CrossRef] [PubMed]
  31. Castillejo, A.; Hernández-Illán, E.; Rodriguez-Soler, M.; Pérez-Carbonell, L.; Egoavil, C.; Barberá, V.M.; Castillejo, M.-I.; Guarinos, C.; Martínez-De-Dueñas, E.; Juan, M.-J.; et al. Prevalence of MLH1 constitutional epimutations as a cause of Lynch syndrome in unselected versus selected consecutive series of patients with colorectal cancer. J. Med. Genet. 2015, 52, 498–502. [Google Scholar] [CrossRef] [PubMed]
  32. Chiaravalli, A.; Carnevali, I.; Sahnane, N.; Leoni, E.; Furlan, D.; Berselli, M.; Sessa, F.; Tibiletti, M. Universal screening to identify Lynch syndrome: Two years of experience in a Northern Italian Center. Eur. J. Cancer Prev. 2020, 29, 281–288. [Google Scholar] [CrossRef] [PubMed]
  33. Cavazza, A.; Radia, C.; Harlow, C.; Monahan, K.J. Experience of the implementation and outcomes of universal testing for Lynch syndrome in the United Kingdom. Colorectal Dis. 2019, 21, 760–766. [Google Scholar] [CrossRef] [PubMed]
  34. Chika, N.; Eguchi, H.; Kumamoto, K.; Suzuki, O.; Ishibashi, K.; Tachikawa, T.; Akagi, K.; Tamaru, J.-I.; Okazaki, Y.; Ishida, H. Prevalence of Lynch syndrome and Lynch-like syndrome among patients with colorectal cancer in a Japanese hospital-based population. Jpn. J. Clin. Oncol. 2017, 47, 108–117, Erratum in Jpn. J. Clin. Oncol. 2017, 47, 191. [Google Scholar] [CrossRef] [PubMed]
Figure 1. PRISMA flowchart.
Figure 1. PRISMA flowchart.
Biomedicines 13 01062 g001
Table 1. Basic characteristics of included studies.
Table 1. Basic characteristics of included studies.
StudyFirst Author (Year)CountryStudy PeriodNumber of Patients (CRC < 50 Years)MMR Screening MethodAdditional Molecular Tests (BRAF/MLH1 Methylation)Germline Testing Protocol
Study 1 [24]Mensenkamp (2013)Netherlands1997–201125IHC + MSI in MSI+ tumorsBRAF or MLH1 testsSanger + IonTorrent seq
Study 2 [25]Niessen (2006)Netherlands1996–2000281IHC for MLH1, MSH2, MSH6, etc.BRAFDenaturing gradient + MLPA
Study 3 [26]Steinhagen (2012)USA2006–2010198IHC for 4 MMR proteinsMLH1 methylation in MLH1/PMS2 lossStandard germline panel
Study 4 [27]Suzuki (2017)Japan1996–2015119IHC for 4 MMR proteinsBRAF V600E and MLH1 promoter if MLH1/PMS2 lossSanger + MLPA if needed
Study 5 [28]Wright (2011)New Zealand2001–2007243IHC for 2–4 proteins (evolved)BRAF or Methylation Sanger for relevant genes
Table 2. Prevalence of dMMR and Lynch syndrome in the five studies.
Table 2. Prevalence of dMMR and Lynch syndrome in the five studies.
StudydMMR Prevalence (%, 95% CI)Confirmed LS Among Total, n (%, 95% CI)Classification of dMMR Cases
Mensenkamp et al. [24]52%0 (0%)Primarily biallelic somatic hits
Niessen et al. [25]8.9%25 (8.9%)All dMMR → LS confirmed
Steinhagen et al. [26]19.1%10 (5.1%)7 sporadic vs. 10 LS, rest VUS
Suzuki et al. [27]8.4%7 (5.9%)3 sporadic, 7 LS
Wright et al. [28]14%12 (5.0%)Remainder sporadic or no final test
Table 3. Clinicopathologic predictors of dMMR in early-onset CRC from each study. N/A: not applicable.
Table 3. Clinicopathologic predictors of dMMR in early-onset CRC from each study. N/A: not applicable.
StudyRight-Sided Tumors in dMMRTumor-Infiltrating Lymphocytes (TILs) in dMMRMucinous/Signet HistologyFamily History Mentioned
Mensenkamp et al. [24]Not systematically reportedHigh TIL infiltration in many MSI + casesNot systematically reportedN/A (unexplained MSI)
Niessen et al. [25]60% of dMMR were right-sided55% had TILs > moderate20% had mucinous components76% with first-degree hx
Steinhagen et al. [26]53% of dMMR were right-sided60% had TILs or Crohn-like reaction26% mucinous or signet55% with suspicious hx
Suzuki et al. [27]80% of dMMR were right-sided70% with moderate/high TILs50% mucinous or signet43% had first-degree hx
Wright et al. [28]57% of dMMR were right-sided39% had TIL mentioned in pathology30% mucinous or signet60% with suspicious hx
Table 4. Outcomes: genetic testing uptake, somatic mutation findings, and follow-up.
Table 4. Outcomes: genetic testing uptake, somatic mutation findings, and follow-up.
StudyAbnormal IHC Who Underwent Germline Testing (%)Germline Mutation Confirmation (n/of Tested)Somatic MLH1 Hypermethylation or BRAF V600E (%)Follow-Up/Registry Referral Rate
Mensenkamp et al. [24]Not all, but 25 “unexplained” MSI used0/25 (0%) LS foundSome tested, no universal dataHigh referral for further analysis
Niessen et al. [25]100% (25/25) with dMMR tested25/25 (100%)Not explicitly statedMany from known family registries
Steinhagen et al. [26]38 dMMR; 22 (57.8%) had germline testing10 (46% of tested); 5.1% of entire cohortSome had MLH1 hypermethylation (3/4 MLH1 loss)High counseling acceptance rate
Suzuki et al. [27]10 dMMR; 8 tested; 80% tested7/8 (88%); 5.9% entire cohort2/4 MLH1/PMS2 had hypermethylation, 1 had BRAFOnly 1 “possible LS” no final proof
Wright et al. [28]33 dMMR; 22 (67%) tested; 10 had LS (5%)10/22 (45%); 10 total new LSSome tested for BRAF/Methylation, 7 sporadic7 not referred, 4 died soon
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Manta, B.A.; Ilie, A.C.; Marc, F.; Nistor, D.; Mazilu, P.O.; Borza, C. Clinical Molecular Immunohistochemistry Mismatch Repair Mutations in Lynch Syndrome in Patients Under 50 Years: A Systematic Review. Biomedicines 2025, 13, 1062. https://doi.org/10.3390/biomedicines13051062

AMA Style

Manta BA, Ilie AC, Marc F, Nistor D, Mazilu PO, Borza C. Clinical Molecular Immunohistochemistry Mismatch Repair Mutations in Lynch Syndrome in Patients Under 50 Years: A Systematic Review. Biomedicines. 2025; 13(5):1062. https://doi.org/10.3390/biomedicines13051062

Chicago/Turabian Style

Manta, Bogdan Adrian, Adrian Cosmin Ilie, Felicia Marc, Daciana Nistor, Patricia Octavia Mazilu, and Claudia Borza. 2025. "Clinical Molecular Immunohistochemistry Mismatch Repair Mutations in Lynch Syndrome in Patients Under 50 Years: A Systematic Review" Biomedicines 13, no. 5: 1062. https://doi.org/10.3390/biomedicines13051062

APA Style

Manta, B. A., Ilie, A. C., Marc, F., Nistor, D., Mazilu, P. O., & Borza, C. (2025). Clinical Molecular Immunohistochemistry Mismatch Repair Mutations in Lynch Syndrome in Patients Under 50 Years: A Systematic Review. Biomedicines, 13(5), 1062. https://doi.org/10.3390/biomedicines13051062

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