Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): An Abridged Explanation and Elaboration

Impact of CD44/326 peritoneal cells as response indicators in advanced gastric cancer patients receiving repeated intraperitoneal perfusion normothermic chemotherapy

Background

In gastric cancer (GC), the dissemination of neoplastic cells (NCs) in the peritoneal cavity is related to disease progression and poor prognosis. Elimination of NC through chemotherapy is needed to achieve better outcomes before conversion surgery.

Objectives

The objective of this study was to evaluate the impact of NC CD44+/CD326+ levels through flow cytometry (FC) on peritoneal lavage (PL) fluid as a response indicator for conversion surgery.

Methods

Patients with GC and NCs in the peritoneal cavity with or without peritoneal carcinomatosis (PC) and ascites were evaluated via minimally invasive staging. The PLs of patients were analyzed by FC to quantify NCs. All patients were treated with repeated intraperitoneal perfusion normothermic chemotherapy (RIPPENC). Patients who had negative NCs or reduced NCs were referred for conversion surgery.

Results

Thirty patients were enrolled in this study and divided into three groups. In the first group, 20 patients with positive cytology (C+) and/or PC with a PC index (PCI) ⩽6 were treated with RIPPENC. Otherwise, six patients with C+ and PC with a PCI >7 and four patients with C+, ascites, and a PCI ranging from 15 to 22 were treated with palliative RIPPENC. The percentage of CD44+/CD326+ cells was correlated with the number of RIPPENC cycles and resections. The median follow-up time was 14.8 months. The overall median survival since the first RIPPENC was 14.6 months among those who did not undergo resection and 22.6 months among those who underwent resection (p = 0.001). Moreover, we observed a correlation between the percentage of CD44+/CD326+ cells in the PL region and patient survival.

Conclusion

The use of FC to identify PL CD44+/CD326+ cell levels may be an important innovative biomarker for determining the presence of NCs, directly affecting the success of RIPPENC for conversion surgery.

Pathological primary tumor status, rather than adjuvant therapy, predicts survival outcomes in pT1-3N1M0 oral cavity squamous cell carcinoma: A nationwide cohort study

BACKGROUND

Theeighth edition oftheAmerican Joint Committee onCancer (AJCC) Staging Manualclassifies pT1-3N1M0 oralcavity squamous cellcarcinoma (OCSCC) asp-Stage III. However, the prognosis within this group is heterogeneous, and the clinical benefit of adjuvant therapy for patients with a single nodal metastasis remains unclear.Here, we analyzed nationwide data from Taiwan to assess survival outcomes and examine the role of adjuvant therapy in this population.

METHODS

A retrospective analysis of 1324 pT1-3N1M0 OCSCC patients who underwent surgical resection between 2011 and 2021 was conducted using data from the Taiwan Cancer Registry and National Health Insurance Research Database. Cox proportional hazards models were applied to identify independent prognostic factors for disease-specific survival (DSS) and overall survival (OS).

RESULTS

Among the cohort, 247 patients (18.7 %) had pT1N1, 699 (52.8 %) had pT2N1, and 378 (28.5 %) had pT3N1 disease. The 5-year DSS rates for pT1N1, pT2N1, and pT3N1 were 82 %, 79 %, and 69 %, respectively, while OS rates were 73 %, 70 %, and 60 % (both p < 0.0001). No significant differences in DSS or OS were observed between surgery alone and adjuvant therapy. In multivariable analysis, pT3N1 disease was independently associated with worse survival outcomes (HR: 1.76,p = 0.0011 for DSS; HR: 1.63,p = 0.0005 for OS), whereas adjuvant therapies were not independent prognostic factors.

CONCLUSION

Among patients with pT1-3N1M0 OCSCC, those presenting with pT3N1 disease demonstrated significantly poorer DSS and OS. Notably, in patients lacking additional adverse pathological features, the omission of adjuvant therapy did not adversely impact survival endpoints.

Prognostic Value of CD8+ T Cells at the Invasive Margin Is Comparable to the Immune Score in Nonmetastatic Colorectal Cancer: A Prospective Multicentric Cohort Study

PURPOSE

The Immunoscore predicts colorectal cancer prognosis but faces adoption barriers because of complex software and reimbursement issues. This study used open-source methods to explore a simplified prognostic model in nonmetastatic colorectal cancer by focusing on single T-cell markers.

EXPERIMENTAL DESIGN

A multicentric prospective cohort study in patients with nonmetastatic colorectal cancer assessed CD3+ and CD8+ tumor-infiltrating lymphocytes (TIL) in the invasive margin (IM) and tumor core (TC) using QuPath. An immune cell score (ICS), based on TIL densities (CD3-IM, CD8-IM, CD3-TC, and CD8-TC), was calculated similarly to the Immunoscore. A split sample approach (70:30) estimated adjusted HRs for cancer-specific survival in training and validation sets. Classification and regression tree analysis identified the most prognostic TIL, and its model was compared with an ICS model for performance (Brier score) and discrimination (concordance probability estimate).

RESULTS

Over a median follow-up of 9.0 years, 203 colorectal cancer-specific deaths occurred among 1,260 patients. Classification and regression tree-selected CD8-IM was the most prognostic TIL at a cutoff of 231 cells/mm2. Patients with high CD8-IM had better cancer-specific survival than low CD8-IM in both training (HR 0.58, 95% confidence interval, 0.40-0.84) and validation sets (HR 0.35, 95% confidence interval, 0.21-0.60). Brier scores of CD8-IM and ICS survival models were comparable in both training and validation cohorts, whereas the survival discrimination of CD8-IM slightly outperformed the ICS in the validation set (concordance probability estimate: CD8-IM: 0.748; ICS: 0.730).

CONCLUSIONS

CD8-IM alone provided prognostic information comparable with the ICS. Simplified, cost-effective TIL assessments could improve clinical translation and guide adjuvant therapy in early-stage colorectal cancer.

Association between Locoregional Failure and NFE2L2/KEAP1/CUL3 Mutations in NRG/RTOG 9512: A Randomized Trial of Radiation Fractionation in T2N0 Glottic Cancer

PURPOSE

NFE2L2/KEAP1/CUL3 mutations have been validated for radioresistance in cell-based assays and animal models. However, clinical validation of these biomarkers has been challenging because of multimodality treatment regimens. This study aims to investigate the association between NFE2L2/KEAP1/CUL3 mutations and patient outcomes, including local failure, locoregional failure, disease-free survival (DFS), and overall survival, using samples from a phase III trial in which patients were treated with radiation monotherapy at two controlled doses.

PATIENTS AND METHODS

We investigated NFE2L2/KEAP1/CUL3 mutations in 250 randomized patients with T2N0 glottic squamous cell carcinoma receiving definitive radiotherapy in the NRG/RTOG 9512 trial. A total of 119 patients had available biospecimens that were subjected to amplicon-based next-generation sequencing to assess for the presence of NFE2L2/KEAP1/CUL3 mutations without regard to outcomes. Mutations in NFE2L2/KEAP1/CUL3 were assessed blinded to clinical outcomes. Cox models (two-sided α = 0.05) were used to evaluate the association with clinical outcomes, performed by an independent statistical team.

RESULTS

Nineteen of 119 patients (16.0%) had NFE2L2/KEAP1/CUL3 mutations. Patient, treatment, and tumor characteristics were similar between those with and without mutations. Patients with mutation compared with those without had significantly more local failure [HR = 3.50; 95% confidence interval (CI), 1.56-7.89; P = 0.0025] and locoregional failure (HR = 3.80; 95% CI, 1.80-8.03; P = 0.0005). DFS was significantly worse for the mutated compared with the nonmutated group in the first 2 years (HR = 2.88; 95% CI, 1.46-5.66; P = 0.0022). The median DFS was shorter in the mutation group (10.3 months) versus those with intact NFE2L2/KEAP1/CUL3 (4.2 years).

CONCLUSIONS

NFE2L2/KEAP1/CUL3 mutations may predict radiation treatment failure in T2N0 glottic cancer. See related commentary by Rao, p. 1563.

Decreasing Use of CT in Favor of Colonoscopy: A Retrospective Analysis of Post-Operative Imaging in Nonmetastatic dMMR/MSI-H Sporadic Colorectal Cancer

BACKGROUND

There is no significant difference in postoperative follow-up imaging examinations for varying mismatch repair (MMR)/microsatellite instability (MSI) statuses for sporadic colorectal cancer while facing different prognoses.

METHODS

We conducted a retrospective study, using Kaplan-Meier curve to compare survival/progression status by varying imaging examination and frequency, using Cox regression to analyze tumor characteristic impact on survival, and monitoring polyp detection time in each colonoscopy screening.

RESULTS

A total of 282 deficient MMR (dMMR)/MSI-high (MSI-H) patients were included. After a 7 year follow-up, all patients-including 143 examined by CT and colonoscopy, 86 singularly examined (CT/colonoscopy/ultrasound), and 53 received no imaging examination-demonstrated a favorable overall survival (87.97%, 95% CI 75.99-89.19) and disease-free survival (81.92%, 95% CI 70.38-89.30), which had no significant difference between imaging methods. Cox regression proved that different imaging methods had no influence on the prognosis. Stage III patients experienced a deterioration in disease-free survival but not differed between varying imaging methods. Different CT follow-up interval exhibited no difference in survival and progression. Polyps were detected in 39.75% (64/161) of patients during follow-up; 32.81% (21/64) were detected in colonoscopy conducted 0-6 months after surgery, reaching the highest. For multiple polyps, the median of detection interval was 13-24 months (first and second polyps), 7-12 months (second and third polyps).

CONCLUSIONS

For nonmetastatic dMMR/MSI-H sporadic colorectal cancer patients, less CT scans (interval > 1 year) are tolerable because of good prognosis, whereas more colonoscopy screenings (0-6 months after surgery first year; 13-24 months after first polyps detection; 7-12 months after second polyps detection) is considerable.

Serum and exosome WNT5A levels as biomarkers in non-small cell lung cancer

BACKGROUND

Despite significant advances in the treatment of lung cancer (LC), there are no reliable biomarkers to effectively predict therapy response and overall survival (O/S) in non-small cell lung cancer (NSCLC) subtypes. While targeted therapies have improved survival rates in lung adenocarcinoma (LUAD), effective treatment options for lung squamous cell carcinoma (LUSC) are still limited. Recent evidence indicates that exosome-bound WNT5A may significantly contribute to disease progression. Our study assessed the WNT5A protein as a potential biomarker for diagnosing patients and predicting prognosis to assist in therapy selection.

METHODS

Primary tumor tissue and serum samples were collected from a cohort of 60 patients with histologically confirmed NSCLC before therapy. Healthy serum donors served as controls. Exosomes were isolated, then exosome number and size were measured, and WNT5A protein levels were identified in tissue and in vesicle-free, vesicle-bound fractions of the serum by ELISA.

RESULTS

Extensive statistical analysis (ROC, AUC, Cox, etc.) revealed that elevated WNT5A levels on the serum-exosome surface correlated with distant metastasis, advanced disease stage, and lymph node involvement in LUSC but not in LUAD patients. Moreover, a high WNT5A exosome surface expression was associated with a poor response to therapy and shorter O/S in LUSC patients. Additionally, serum-exosome surface + cargo WNT5A content distinguished LUAD and LUSC subtypes.

CONCLUSIONS

WNT5A, particularly its serum exosome-bound form, may serve as a valuable biomarker after further validation for differentiating NSCLC subtypes and predicting disease progression. Importantly, the information can become available from a simple serum sample at the time of diagnosis.

Prognostic implications of MUC1 and XBP1 concordant expression in multiple myeloma: A retrospective study

Multiple myeloma (MM) is a disease of malignant plasma cells (PC) with poor survival. Disease progression and treatment relapse are attributed to MM cancer stem cells (CSCs) and signaling molecules such as MUC1 and XBP1. The study aimed to determine the prognostic value of expression of CSC-associated biomarkers, MUC1 and XBP1 in MM, which has not been explored previously. In this study, we determined the immunohistochemical expression of CSC markers (ALDH1, CD117, and CD34), MUC1, and XBP1 in 128 MM formalin-fixed paraffin-embedded bone marrow archival blocks. The expression of biomarkers was assessed for association with clinicopathological variables and patient survival. Descriptive analysis, survival plots and crude association between outcome and independent variables were assessed using Kaplan Meier and Log rank test. Univariate and multivariable analyses were performed using simple and multiple Cox regression models. The results are reported as crude and adjusted hazard ratios with 95% confidence intervals. Expression of ALDH1 and CD117 was found in 51% and 48% of the tumors, respectively. ALDH1 expression was associated with 1.83 years of reduced survival for patients with CD56-negative tumors. MUC1 expression was observed in 62%, whereas XBP1 was expressed in 48% of tumors. Combinatorial group analysis of XBP1 and MUC1 stratified patients into two prognostic groups. Cases with tumors negative for expression of MUC1 and XBP1 (XBP1-/ MUC1-) were categorized as a good prognostic group with increased survival of 3.42 years compared to cases with tumors expressing both (Worst prognosis, XBP1 + /MUC1+). Concordant expression of MUC1 and XBP1 in MM defines a subset of patients with adverse outcomes. The adjusted hazard ratio showed a four-fold increased risk of mortality associated with the concordant expression of MUC1 and XBP1 in patients > 65 years of age.

Cell division cycle 6 ​is an independent prognostic biomarker in breast cancer

Cell division cycle 6 (CDC6) is a cell cycle protein involved in cell cycle control, DNA replication and cancer cell apoptosis. This study investigated the prognostic value of CDC6 in breast cancer (BC) utilising large well-characterised cohorts of early-stage ​BC. CDC6 messenger RNA (mRNA) was assessed using the Molecular Taxonomy of the Breast Cancer International Consortium (n=1980), the Cancer Genome Atlas (n=854) and Kaplan-Meier plotter (n=4,929) cohorts. CDC6 protein expression was evaluated using immunohistochemistry in a large (n=951) well-characterised Nottingham BC cohort. The associations between CDC6, clinicopathological parameters, molecular features and patient outcomes were assessed. High CDC6 expression positively correlated with dysregulation of key BC-related genes, including gene involved in cell cycle, DNA damage repair, epithelial cell migration, ​and tumour microenvironment control, as well as with markers characteristic of the basal-like phenotype (CK5, CK14 and CK17). High CDC6 mRNA and protein expression were associated with clinicopathological parameters characteristic of aggressive behaviour, including high tumour grade, large tumour size, the presence of lymphovascular invasion and hormone receptor negativity. High CDC6 protein expression was an independent predictor of poor outcome [p=0.007; hazard ratio (HR)=1.3; 95% confidence interval (CI) 1.2-1.9). This study indicates that CDC6 is an independent prognostic biomarker in BC. These results warrant further functional validation for CDC6 as a potential therapeutic target in BC.

A luminal non-coding RNA-based genomic classifier confirms favourable outcomes in patients with clinically organ-confined bladder cancer treated with radical cystectomy

OBJECTIVE

To further evaluate a genomic classifier (GC) in a cohort of patients undergoing radical cystectomy (RC), as long non-coding RNA (lncRNA)-based genomic profiling has suggested utility in identifying a distinct tumour subgroup corresponding to a favourable prognosis in patients with bladder cancer.

PATIENTS AND METHODS

Transcriptome-wide expression profiling using Decipher Bladder was performed on transurethral resection of bladder tumour samples from a cohort of patients with high-grade, clinically organ-confined (cTa-T2N0M0) urothelial carcinoma (UC) who subsequently underwent RC without any neoadjuvant therapy (n = 226). The lncRNA-based luminal favourable status was determined using a previously developed GC. The primary endpoint was overall survival (OS) after RC. Secondary endpoints included cancer-specific mortality and upstaging at RC.

RESULTS

In the study, 134 patients were clinical non-muscle-invasive bladder cancer (cTa/Tis/T1) and 92 patients were cT2. We identified 60 patients with luminal favourable subtype, all of which showed robust gene expression patterns associated with less aggressive bladder cancer biology. On multivariate analysis, patients with the luminal favourable subtype (vs without) were significantly associated with lower odds of upstaging to pathological (p)T3+ disease (odds ratio [OR] 0.32, 95% confidence interval [CI] 0.12-0.82; P = 0.02), any upstaging (OR 0.41, 95% CI 0.20-0.83; P = 0.01), and any upstaging and/or pN+ (OR 0.50, 95% CI 0.25-1.00; P = 0.05). Luminal favourable bladder cancer was significantly associated with better OS (hazard ratio 0.33, 95% CI 0.15-0.74; P = 0.007).

CONCLUSIONS

This study validates the performance of the GC for identifying UCs with a luminal favourable subtype, harbouring less aggressive tumour biology.

Increased primary breast tumor expression of CD73 is associated with development of bone metastases and is a potential biomarker for adjuvant bisphosphonate use

PURPOSE

Increased CD73 expression has been associated with progression in various cancer types. Results of the AZURE and other trials suggest that, in postmenopausal breast cancer patients, adjuvant bisphosphonates inhibit bone relapses and prolong overall survival. Based on these findings, adjuvant bisphosphonates (typically zoledronic acid) are standard-of-care in postmenopausal patients with high-risk early breast cancer. However, biomarkers are needed for improved patient selection. The aim of this study was to investigate the association of primary tumor CD73 expression with later development of bone metastases.

METHODS

To determine whether CD73 levels correlated with tumor parameters (hormone receptor status, tumor stage and grade), patient outcomes (bone metastases and survival) or other patient characteristics (menopausal status, chemotherapy or statin use), we analyzed primary breast tumor CD73 expression immunohistochemically in tumor microarray samples from the AZURE (BIG01/04) trial.

RESULTS

In the AZURE control arm, high CD73 score are significantly prognostic for overall survival (p-value = 0.03, HR = 1.87, 95% CI = 1.06-3.29), disease-free survival (p-value = 0.06, HR = 1.66, 95% CI = 0.982-2.8) and time to first metastasis to bone (p-value = 0.04, HR = 2.23, 95% CI = 1.04-4.81), as compared with low CD73 scores. However, high CD73 score did not display an association with time to non-bone metastasis or first recurrence to a non-skeletal site. In the zoledronate arm, high CD73 score did not have association with patient outcomes, first metastasis to bone, nor with bone recurrence at any time (distant recurrence, including skeletal) or first non-skeletal recurrence. In multivariate testing, CD73 had no significant association with age, ER status, tumor stage, histological grade, menopausal status, chemotherapy or statin use in either arm.

CONCLUSIONS

High CD73 expression is associated with development of bone metastases. Zoledronate counteracts this effect. These results suggest that CD73 expression might serve as a biomarker for adjuvant zoledronic acid use.

Cell-free DNA aneuploidy score as a dynamic early response marker in prostate cancer

Cell-free circulating tumor DNA (ctDNA) has emerged as a promising biomarker for response evaluation in metastatic castration-resistant prostate cancer (mCRPC). The current study evaluated the modified fast aneuploidy screening test-sequencing system (mFast-SeqS), a quick, tumor-agnostic and affordable ctDNA assay that requires a small input of DNA, to generate a genome-wide aneuploidy (GWA) score in mCRPC patients, and correlated this to matched metastatic tumor biopsies. In this prospective multicenter study, GWA scores were evaluated from blood samples of 196 mCRPC patients prior to treatment (baseline) with taxanes (docetaxel and cabazitaxel) and androgen receptor signaling inhibitors (ARSI; abiraterone and enzalutamide), and from 74 mCRPC patients at an early timepoint during treatment (early timepoint; median 21 days). Z-scores per chromosome arm were tested for their association with tumor tissue genomic alterations. We found that a high tumor load in blood (GWAhigh) at baseline was associated with poor response to ARSI [HR: 2.63 (95% CI: 1.86-3.72) P < 0.001] but not to taxanes. Interestingly, GWAhigh score at the early timepoint was associated with poor response to both ARSIs [HR: 6.73 (95% CI: 2.60-17.42) P < 0.001] and taxanes [2.79 (95% CI: 1.34-5.78) P = 0.006]. A significant interaction in Cox proportional hazards analyses was seen when combining GWA status and type of treatment (at baseline P = 0.008; early timepoint P = 0.018). In summary, detection of ctDNA in blood by mFast-SeqS is cheap, fast and feasible, and could be used at different timepoints as a potential predictor for outcome to ARSI and taxane treatment in mCRPC.

Society for Immunotherapy of Cancer (SITC) consensus statement on essential biomarkers for immunotherapy clinical protocols

Immunotherapy of cancer is now an essential pillar of treatment for patients with many individual tumor types. Novel immune targets and technical advances are driving a rapid exploration of new treatment strategies incorporating immune agents in cancer clinical practice. Immunotherapies perturb a complex system of interactions among genomically unstable tumor cells, diverse cells within the tumor microenvironment including the systemic adaptive and innate immune cells. The drive to develop increasingly effective immunotherapy regimens is tempered by the risk of immune-related adverse events. Evidence-based biomarkers that measure the potential for therapeutic response and/or toxicity are critical to guide optimal patient care and contextualize the results of immunotherapy clinical trials. Responding to the lack of guidance on biomarker testing in early-phase immunotherapy clinical trials, we propose a definition and listing of essential biomarkers recommended for inclusion in all such protocols. These recommendations are based on consensus provided by the Society for Immunotherapy of Cancer (SITC) Clinical Immuno-Oncology Network (SCION) faculty with input from the SITC Pathology and Biomarker Committees and the Journal for ImmunoTherapy of Cancer readership. A consensus-based selection of essential biomarkers was conducted using a Delphi survey of SCION faculty. Regular updates to these recommendations are planned. The inaugural list of essential biomarkers includes complete blood count with differential to generate a neutrophil-to-lymphocyte ratio or systemic immune-inflammation index, serum lactate dehydrogenase and albumin, programmed death-ligand 1 immunohistochemistry, microsatellite stability assessment, and tumor mutational burden. Inclusion of these biomarkers across early-phase immunotherapy clinical trials will capture variation among trials, provide deeper insight into the novel and established therapies, and support improved patient selection and stratification for later-phase clinical trials.

Is postoperative adjuvant therapy necessary for pT3N0 oral cavity squamous cell carcinoma?

BACKGROUND

The current NCCN guidelines advocate for the use of adjuvant radiotherapy (RT) or chemoradiotherapy (CRT) in pT3N0 oral cavity squamous cell carcinoma (OCSCC). Here, we sought to evaluate whether postoperative RT/CRT may confer a survival advantage in pT3N0 patients who lack adverse pathological features.

METHODS

A dataset of 852 pT3N0 OCSCC patients treated between 2018 and 2021 was analyzed. Patients with adverse pathological features (i.e., positive margins, margins <5 mm, lymphovascular invasion, or perineural invasion) were excluded, leaving 235 eligible patients. The cohort was further refined by omitting 12 patients who received surgery plus chemotherapy and two cases who received RT doses <5000 cGy, resulting in two study groups: surgery alone (n = 131) and surgery plus RT/CRT (n = 90).

RESULTS

Baseline characteristics were comparable between groups, except for a higher proportion of buccal subsite (p = 0.0063) and female patients (p = 0.0495) in the surgery alone group. Kaplan-Meier analyses revealed no significant differences in 4-year disease-specific survival (DSS) (84.2 % versus 85.9 %, p = 0.8834) or overall survival (OS) (75.6 % versus 84.8 %, p = 0.2376). These findings were confirmed by multivariable analyses and remained consistent after propensity score matching (n = 74 per group), with similar survival outcomes between groups (4-year DSS, 90.7 % versus 83.2 %, p = 0.4020; 4-year OS, 87.0 % versus 81.9 %, p = 0.6121) CONCLUSIONS: For patients with pT3N0 OCSCC lacking adverse pathological features, the addition of adjuvant RT/CRT does not appear to confer a survival benefit over surgery alone.

Extracellular vesicles from pancreatic cancer and its tumour microenvironment promote increased Schwann cell migration

BACKGROUND

Pancreatic ductal adenocarcinoma (PDAC) exhibits a high frequency of neural invasion (NI). Schwann cells (SCs) have been shown to be reprogrammed to facilitate cancer cell migration and invasion into nerves. Since extracellular vesicles (EVs) affect the tumour microenvironment and promote metastasis, the present study analysed the involvement of EVs from pancreatic cancer cells and their microenvironment in altering SC phenotype as part of the early events in the process of NI.

METHODS

EVs were isolated from human/murine PDAC cells, pancreatic stellate cells (PSCs), human tissues and plasma to perform a novel 3D migration assay, qRT-PCR and western blot. Kaplan-Meier and Cox regression analyses were employed to evaluate the clinical potential of plasma EV-derived candidate from 165 PDAC patients.

RESULTS

The EVs from PDAC cells, PSCs derived from human tumour tissues, other cell types in the tumour microenvironment from tumour tissues and circulating plasma act as drivers of a pro-migratory phenotype of SCs by inducing dedifferentiation in SCs. Notably, p75NTR expression was upregulated in the plasma-derived EVs from patients with NI (Pn1) relative to those without NI (Pn0). High expression of plasma-derived EV p75NTR correlated with reduced overall survival and was identified as an independent prognostic factor.

CONCLUSIONS

These findings suggest that EV-mediated SC migration underlies the interactions contributing to PDAC-associated NI with implications for improved outcome and therapeutic strategy.

ctDNA detection in cerebrospinal fluid and plasma and mutational concordance with the primary tumor in a multicenter prospective study of patients with glioma

BACKGROUND

Cerebrospinal fluid (CSF) stands as an easily accessible reservoir for circulating tumor DNA (ctDNA) analysis in patients with central nervous system (CNS) tumors, although evidence is still limited. Our aim was to prospectively evaluate the feasibility of detecting ctDNA for mutational analysis in CSF and plasma in patients with glioma.

METHODS

This was a prospective study of patients with glioma diagnosed at four third-level hospitals in Spain. A customized next-generation sequencing (NGS) eight-gene panel (IDH1, IDH2, ATRX, TP53, PTEN, PIK3CA, EGFR, BRAF) was used in paired CSF, plasma and tumor samples. Mutation concordance occurred when the same pathogenic gene variant was detected in tumor and ctDNA. The prognostic value of ctDNA and that of its median variant allele frequency (mVAF) were analyzed.

RESULTS

Between February 2017 and March 2020, 37 patients with glioma were enrolled. The 32 patients with analyzable CSF samples comprised patients with new diagnosis (n = 23) and relapse (n = 9); World Health Organization fifth Edition types: IDH-mutant astrocytoma (n = 10), IDH-mutant oligodendroglioma (n = 6) and IDH-wildtype glioblastoma (n = 16); CSF-ctDNA-positive: 19/32 (59%); and CSF-ctDNA-negative: 13/32 (41%). CSF mutation numbers were 1 (10/19), 2 (7/19) and 3 (2/19). Frequencies of CSF-ctDNA-mutated genes were EGFR (8/19, 42%), PTEN (7/19, 37%), TP53 (6/19, 32%), IDH1 (5/19, 26%) and PIK3CA (4/19, 21%). Tumor-CSF mutation concordance was found in 16/19 (84%). Progression-free and overall survival were significantly shorter in ctDNA-positive patients with VAF equal to or greater than the mVAF compared with ctDNA-positive patients with VAF lower than the mVAF. No association was found between ctDNA in CSF and distance to closest CSF reservoir, tumor size or IDH status. ctDNA was detected in 2 of 14 (14%) individual plasma samples, in both cases concordant with the primary tumor.

CONCLUSION

CSF is a reliable reservoir for ctDNA analyses in patients with glioma. ctDNA is detectable in plasma although at a lower rate. Larger, prospective studies should be conducted to refine the potential role of liquid biopsy in this disease.

Contemporary review of prognostic markers of prostate cancer from a pathologist perspective

Prostate cancer is the most frequently diagnosed malignant tumour in men worldwide. To treat this condition, prognostic markers to distinguish indolent from aggressive disease, and biomarkers for metastatic forms are needed. From a pathologist's perspective, despite the plethora of emerging biomarkers, none to date has made its way into clinical practice. The need for prognostic and predictive markers following histological evaluation remains. This overview of some putative immunohistochemical and genetic markers reveals the pitfalls of biomarker research, notably verifiability, validity and interlaboratory comparison. Meta-analyses and extensive cooperation between pathology departments are a sine qua non. Codes of Best Practice such as the REMARK guidelines have been advocated as a path forward. Currently, the most widely used and validated prognostic marker remains the Gleason score. Ki67 along with PTEN are the most promising prognostic markers.

Predictive biomarkers of radiotherapy- related dermatitis, xerostomia, mucositis and dysphagia in head and neck cancer: A systematic review

BACKGROUND

Radiotherapy is essential for treating head and neck cancer but often leads to severe toxicity. Traditional predictors include anatomical location, tumor extent, and dosimetric data. Recently, biomarkers have been explored to better predict and understand toxicity. This review aims to summarize the current literature, assess data quality, and guide future research.

METHODS

Two reviewers independently screened EMBASE and PubMed for studies published between 2010 and 2023. Endpoints were dermatitis, mucositis, sticky saliva/xerostomia, and dysphagia. Statistical analysis was performed using R, and bias assessed via a modified QUIPS questionnaire. Pathway analysis was conducted using gProfiler. The study adhered to PRISMA and COSMOS-E guidelines and was registered in the PROSPERO database (#CRD42023361245).

RESULTS

Of 2,550 abstracts, 69 publications met the inclusion criteria. These studies involved a median of 81 patients, primarily male (75 %), with common primary tumors in the nasopharynx (32 %) and oropharynx (27 %). Most patients (84 %) had advanced disease (stage III/IV). The most frequently studied biomarkers were DNA-based single-nucleotide polymorphisms (SNPs, 59 %), salivary proteins (13 %), and bacteria (10 %). Ten statistically-significant biomarkers (all SNPs) in low-bias publications were identified, particularly in DNA repair and cell detoxification pathways. Data quality was often poor and few validation studies were present in the dataset.

CONCLUSION

This review provides an overview of the research landscape, highlights research gaps and provides recommendations for future research directions. We identified several potential biomarkers, particularly in DNA repair pathways, that align with current understanding of radiation-induced cell damage. However, the overall data quality was poor, with key clinical variables often missing. Overall, rigorous standardization of reporting, validation studies and multi-center collaborations to increase study power and sample sizes are necessary to build high-level evidence for clinical application.

Effects of antibiotics on the anti-tumor efficacy of immune checkpoint inhibitor therapy

PURPOSE

Immunotherapy using immune checkpoint inhibitors (ICIs) has shown several benefits over traditional therapies. However, the eligible population remains small. Antibiotic (ATB) use might reduce immunotherapy efficacy by disrupting the gut microbiota. However, in China, ATB effect on ICI therapy efficacy remains unelucidated. We aimed to assess the effects of ATBs on the anti-tumor efficacy of ICIs to provide a reference for clinical use.

METHODS

We included 134 patients with advanced tumors undergoing ICI therapy at Shanghai Jiading District Central Hospital from January 1, 2021, to October 1, 2023. They were divided into Non-ATB and ATB groups based on ATB use within 30 days before and after ICI administration. Moreover, we compared progression-free (PFS) and overall (OS) survival between the groups.

RESULTS

Median PFS and OS were lower in the ATB than in the Non-ATB group (PFS: 4.0 vs. 5.5 months; OS: 5.4 vs. 6.5 months). Univariate analysis revealed that ATB use significantly affected PFS (hazard ratio [HR] = 2.318, 95% confidence interval [CI] = 1.281-4.194, P = 0.005) and OS (HR = 2.115, 95% CI = 1.161-3.850, P = 0.014). Moreover, multivariate analysis revealed poor PFS (HR = 2.573, 95% CI = 1.373-4.826, P = 0.003) and OS (HR = 2.452, 95% CI = 1.298-4.632, P = 0.006) in patients who received ATBs during ICI therapy.

CONCLUSIONS

ATB use is negatively correlated with ICI therapy efficacy, leading to reduced PFS and OS in patients undergoing such treatment. Owing to the significant impact of ATBs on the human gut microbiome, regulation of the gut microbiome may emerge as a novel therapeutic target that can enhance the clinical activity of ICIs.

An overview about biomarkers in breast cancer: Insights into the diagnostic and prognostic significance

Breast cancer (BC) is one of the most significant neoplasms globally due to its high incidence and mortality, particularly among females. As a highly heterogeneous pathology, biomarkers are essential for characterizing specific tumors. Currently, several biological processes are well-described in the context of this neoplasm, such as alterations in BRCA1/2, HER, and pathways involving estrogen and progesterone hormone receptors. These studies have enabled the use of these findings as more precise methods for diagnosis, prognosis, and treatment. However, beyond patients who do not exhibit these classic markers, some individuals within the same risk group respond differently to treatment. Therefore, the search for biological markers that can improve diagnosis, aid in stratification, or serve as therapeutic targets is continuous and urgent. Genetic signatures have led to molecular tests currently used in clinical practice, though certain limitations persist. Understanding genetic and epigenetic mechanisms facilitates the identification of potential biomarkers. Biomarker targets must undergo experimental and clinical trials on samples of significant size before reaching clinical utility. In this review, we compile the classical markers and describe the potential use of other markers associated with the biological processes of this neoplasm.

Prognostic significance of diagnosis-to-surgery interval in oral cavity squamous cell carcinoma: A nationwide study

BACKGROUND

The question as to whether prolonged diagnosis-to-surgery intervals (DSIs) may compromise survival outcomes in patients with oral cavity squamous cell carcinoma (OCSCC) remains unanswered. This nationwide study was designed to address this issue.

METHODS

We analyzed data from 26,214 patients with first primary OCSCC identified in the Taiwanese Cancer Registry Database between 2011 and 2021. The optimal DSI cutoff was determined based on 5-year disease-specific survival (DSS) and overall survival (OS) rates using Cox regression analysis. Patients were categorized into three distinct DSI groups: ≤20 days (47 %), 21-31 days (31 %), and > 31 days (22 %).

RESULTS

The 5-year DSS and OS rates for the ≤20/21-31/>31 days groups were 81 %/78 %/77 % and 73 %/70 %/68 %, respectively (both p < 0.0001). Patients in the ≤20 days group had a higher prevalence of pathological stages I-II. After adjustment for potential confounders in multivariable analysis, a DSI > 31 days (versus ≤ 20 days) retained independent associations with adverse outcomes at 5 years, with hazard ratios of 1.07 for both DSS and OS. Propensity score matching and multivariable analysis comparing DSI ≤ 20 days to DSI > 31 days stratified by pathological stage III-IV showed that higher DSS and OS rates were observed in patients with DSI ≤ 20 days than DSI > 31 days (68 %/66 %, p = 0.0586; 60 %/57 %, p = 0.0228, respectively), with hazard ratios of 1.09 for both DSS and OS.

CONCLUSIONS

Our findings indicate that DSI is an independent predictor of 5-year DSS and OS in patients with OCSCC. A DSI exceeding 31 days, or even 21 days, may potentially decrease survival outcomes.

Prognostic value of circulating and tumor microenvironmental biomarkers in endometrial cancer

AIM

Endometrial cancer (EC) is one of the three most common gynecological malignancies. Thus, it is estimated that the mortality rates due to this disease will increase. Our aim is to study the immune microenvironment in all ECs together with Hematoxylin Eosin (H&E), immunohistochemical (IHC) and Biochemical parameters (NLR) and to evaluate their contribution to prognosis by comparing them with each other.

MATERIALS AND METHODS

A total of 340 EC patients were included in the study. PDL-1 immunohistochemical stain was applied to blocks prepared from representative tumor tissues by Tissue Microarray method. Tumor- infiltrating lymphocytes and neutrophils were also scored with Hematoxylin Eosin stain. The NLR values calculated from peripheral blood. The effects of all parameters on survival, recurrence/metastasis were statistically evaluated.

RESULTS

Regarding TIL Scores, patients with higher TIL scores were found to have longer disease-free survival and total survival. In patients with high TIN scores, disease-free survival and overall survival were shorter. (p < 0.001) The overall survival of patients with PDL-1 negative was found to be longer. (p: 0.07). In terms of the effect on OS, an NLR cut-off value of 2.72 was determined (specificity 38.89 %, sensitivity 82.57 %, AUC 0.65). OS was 77.11 months ( ± 0.04, 95 % CI: 71.8-81.9) in the patients with NLR value slower than 2.72 and 76.5 months ( ± 1.3, 95 % CI: 36.3-63.7) in those with NLR ≥ 2.72 (p: 0.001).

CONCLUSION

In this study, all patients of EC with high TIL scores, low TIN scores, and with PD-L1 negativity exhibited significantly longer survival times. TIN appears to be a highly valuable parameter in terms of both OS and PFS, particularly compared to TIL and PD-L1. This research represent a pioneering study for future studies involving larger samples in the context of being able to use different parameters in predicting prognosis and treatment in patients with EC.

Limited research investigating the value of MRI in predicting future cognitive morbidity in survivors of paediatric brain tumours: A systematic-review and call to action for clinical neuroimaging researchers

Survivors of pediatric brain tumours are at a high risk of cognitive morbidity. Reliable individual-level predictions regarding the likelihood, degree, and affected domains of cognitive impairment would be clinically beneficial. While established risk factors exist, quantitative MRI analysis may enhance predictive value, above and beyond current clinical risk models. This systematic review addresses the question: "Do MRI markers predict future cognitive functioning in pediatric brain tumour survivors?" We conducted a comprehensive search for studies published up to March 2024 that assessed MRI variables as predictors of later neuropsychological outcomes in pediatric brain tumour patients. Only studies that acquired MRI scans at an earlier timepoint to predict subsequent cognitive test performance were included. Surprisingly, few studies met these criteria, with identified research focusing primarily on MRI measures of cerebellar and white matter damage as features in predicting cognitive outcomes. Ultimately, this review reveals a limited literature, characterized by small sample sizes and poor-quality studies, placing findings at high risk of bias. Consequently, the quality and conclusions drawn from the existing research are constrained, especially in the context of prediction studies. Given the significant implications for this clinical population, this review highlights the urgent need for further investigation and a 'call to action' for medical imaging researchers in pediatric neuro-oncology.

Digital Profiling of Immune Biomarkers in Breast Cancer: Relation to Anthracycline Benefit

Assessment of the tumor-immune microenvironment can be used as a prognostic tool for improved survival and as a predictive biomarker for treatment benefit, particularly from immune-modulating treatments including cytotoxic chemotherapy. Using digital spatial profiling (DSP), we studied the tumor-immune microenvironment of 522 breast cancer cases by quantifying 35 immune biomarkers on tissue microarrays from the MA.5 phase III clinical trial. In this trial, node-positive breast cancer patients were randomized to receive either non-anthracycline chemotherapy (cyclophosphamide, methotrexate, 5'-fluorouracil [CMF]) or anthracycline-containing cytotoxic chemotherapy (CEF). Donor block hematoxylin and eosin (H&E)-stained sections were scored for the level of stromal tumor-infiltrating lymphocytes (sTILs), according to the international guidelines. We hypothesized that patients with higher levels of tumor-immune infiltration, assessed by either DSP or H&E staining, would benefit from CEF (relative to CMF) more than patients with lower immune infiltration. Unsupervised hierarchical clustering of digitally scored biomarkers revealed 2 patient clusters: immune infiltrated versus ignored. Following a prespecified statistical plan crafted to meet REMARK (REporting recommendations for tumor MARKer prognostic studies) guidelines, we found that the DSP-derived Immune Cluster assignment did not predict an improved 10-year relapse-free survival for patients receiving CEF compared with CMF. However, a secondary hypothesis revealed a significant predictive value for H&E sTILs assessed on full-faced sections for CEF benefit over CMF in the entire cohort and the human epidermal growth factor receptor 2-enriched subset. As exploratory analyses, supervised clustering of DSP-scored biomarkers suggested that low levels of T-cell immunoglobulin and mucin domain 3 TIM-3 and high levels of human leukocyte antigen HLA-DR and programmed cell death protein ligand PD-L-1 are associated with sensitivity to CEF. Although novel high-plex techniques provide a detailed insight into the tumor microenvironment, conventional H&E staining remains a powerful tool that can be applied to full-faced sections to assess the value of the immune microenvironment, particularly sTILs, in predicting benefits from immunogenic chemotherapies.

Epigenetic modification of Castor zinc finger 1 (CASZ1) is associated with tumor microenvironments and prognosis of clear cell renal cell carcinoma

BACKGROUND

Clear cell renal cell carcinoma (ccRCC) represents the predominant and remarkably diverse form of renal cell carcinoma. The involvement of the Castor zinc finger 1 (CASZ1) gene in adverse prognostic outcomes has been observed across different cancer types. Nevertheless, the specific altered activities and associated multi-omics characteristics of CASZ1 in ccRCC remain unelucidated.

METHOD

In order to explore the expression of CASZ1, evaluate its prognostic significance, and aid in the therapeutic decision-making process for patients with ccRCC, The Cancer Genome Atlas (TCGA), Gene expression omnibus (GEO), and The Human Protein Atlas (HPA) databases were utilized to gather data on clinicopathological data, prognostic information, genomic, methylomic and immunomic data. Additionally, the Genomics of Drug Sensitivity in Cancer (GDSC) database provided information on drug sensitivity.

RESULTS

CASZ1 expression was found to be significantly reduced in ccRCC and was associated with unfavorable pathological characteristics and a bleak prognosis. Diminished CASZ1 mRNA levels were notably correlated with heightened cytosine-phosphate-guanine (CpG) methylation, indicating a poorer prognosis for patients with increased methylation. Examination of RNA-seq data from TCGA indicated that the CASZ1-high expression subgroup displayed heightened immune cell infiltration and increased expression of immune checkpoint markers, potentially suggesting a more favorable response to immunotherapy. Furthermore, data from the GDSC database indicated that the CASZ1-low expression subgroup might exhibit greater sensitivity to anti-angiogenetic treatments, such as Sunitinib and Axitinib.

CONCLUSIONS

These results indicate that CASZ1 may function as a biomarker for distinguishing various tumor microenvironment phenotypes, predicting prognosis, and assisting in treatment decisions for individuals with ccRCC.

Antibiotic use attenuates response to immune checkpoint blockade in urothelial carcinoma via inhibiting CD74-MIF/COPA: revealing cross-talk between anti-bacterial immunity and ant-itumor immunity

BACKGROUND

Immune checkpoint blockade (ICB) has emerged as a promising therapy for both resectable urothelial carcinoma (UC) patients preparing for radical surgery and unresectable UC patients, whereas the objective response rate of ICB remains unsatisfactory due to various factors. Antibiotic (ATB) use can influence intratumoral bacteria, which may further reduce ICB efficacy. The study aims to evaluate the effects of ATB use on prognosis and response in UC patients undergoing ICB, and explore potential molecular mechanisms of ATBs and intratumoral bacteria impacting UC immune microenvironment.

MATERIALS AND METHODS

Pooled analyses, synthesizing evidence from 3496 UC patients with ICB treatment, were conducted. In addition, single-cell RNA and single-cell microbiome data were analyzed based on eight UC samples and 63 185 single cells. Bulk RNA sequencing and clinical data from a single-arm, multicenter, atezolizumab-treated, phase 2 trial, IMvigor210, were used for validation.

RESULTS

ATB use exhibited worse overall survival (HR=1.46, 95% CI=[1.20-1.77], P <0.001 and lower objective response (OR=0.43, 95% CI=[0.27-0.68], P <0.001 in UC patients receiving ICB. Single-cell transcriptome and single-cell microbiome analyses identified the presence of intratumoral bacteria was obviously related to elevated antibacterial immune functions; and antibacterial immunity was positively correlated to antitumor immunity in UC immune microenvironment. Intratumoral bacteria could up-regulate CD74-MIF/COPA signaling of immune cells and activation of CD74-MIF/COPA mediated the promotion of T cell antitumor function induced by antibacterial immune cells. UC patients with higher CD74-MIF/COPA signaling carried better overall survival (HR=1.60, 95% CI=[1.19-2.15], P =0.002) in immunotherapy cohort.

CONCLUSION

ATB use reduces overall survival and objective response to ICB in UC patients. Antibacterial immune cell functions induced by intracellular bacteria in the UC microenvironment might up-regulate the function of antitumor T immune cells via activating CD74-MIF/COPA , whereas ATB could inhibit the above process through killing intracellular bacteria and result in poorer clinical benefit of ICB. The use of ATB should be considered carefully during the neoadjuvant immunotherapy period for resectable UC patients preparing for radical surgery and during the immunotherapy period for unresectable UC patients.

High circulating activin A plasma levels are associated with tumour stage and poor survival in treatment-naive lung squamous cell cancer patients

OBJECTIVES

Lung squamous cell carcinoma (LUSC) is associated with a poor prognosis and a lack of specific treatment options. The dysregulation of activin A (ActA) has been reported in various malignancies. Herein, we investigated the diagnostic and prognostic significance of ActA in LUSC.

MATERIALS AND METHODS

ActA concentrations were measured using ELISA in plasma samples of 128 LUSC patients (stage I-IV) and 73 controls, and correlated those values with clinicopathological parameters and survival.

RESULTS

ActA plasma levels were significantly higher in therapy-naive LUSC patients compared to controls (444.1 ± 310.9 pg/mL vs 338.9 ± 145.5 pg/mL, p = 0.010). ActA levels significantly correlated with advanced stage as well as with T and N factors. High circulating ActA levels were significantly increased in metastatic disease patients compared to M0 disease. Further, patients with ActA levels above a computationally established optimal cut-off value of 443.0 pg/mL had a significantly worse median overall (OS, 17.63 vs 64.77 months, HR 0.391, 95 % CI 0.200-0.762, p < 0.001) and median disease-/progression-free survival (DFS/PFS; 11.57 vs 30.20 months, HR 0.502, 95 % CI 0.248-1.019, p = 0.020). Multivariate analysis revealed that high ActA levels were an independent prognostic factor for shorter OS (p = 0.001) and DFS/PFS (p = 0.018). A newly developed score combining CRP and ActA levels was also an independent prognostic factor for OS and DFS/PFS.

CONCLUSION

Measurement of circulating ActA levels may help identify advanced-stage LUSC patients, and this value could serve as a prognostic parameter in LUSC. Thus, ActA may be a novel blood-based biomarker for identifying LUSC patients with distant metastasis.

A Prospective Tumour Marker for Breast Cancer: YWHAB and Its Role in Promoting Oncogenic Phenotypes

Background

YWHAB (14-3-3 Beta) was found in the secretome of miR-526b and miR-655 overexpressed breast cancer (BRCA) cell lines. The potential of YWHAB as a therapeutic target or biomarker for BRCA is investigated here.

Methods

After YWHAB was knocked down with siRNA, BRCA cell lines were used for in vitro assays (proliferation, migration, epithelial-to-mesenchymal transition). In silico analysis and in situ validation with BRCA plasma and biopsy tissues were used to test YWHAB's biomarker potential.

Results

YWHAB RNA and protein expression are elevated in aggressive BRCA cell lines, and the knockdown of YWHAB inhibited cell migration, proliferation, and EMT in all subtypes of tumour cell lines. YWHAB expression is significantly higher in BRCA biopsy tissue and blood plasma compared to control tissues and benign plasmas. YWHAB is expressed in all hormonal subtypes of BRCA tumours and has shown increased expression in advanced tumour stages. Its high expression is linked to poor patient survival. YWHAB is a sensitivity tumour marker (AUC of 0.7340, p = 0.0012) but is not a promising blood biomarker. Nevertheless, combined with pri-miR-526b, YWHAB mRNA expression shows potential as a BRCA blood biomarker (AUC of 0.711, p = 0.032), which must be validated in a larger sample set.

Conclusion

We elucidate the novel role of YWHAB as a therapeutic target in BRCA, given that its inhibition mitigated aggressive phenotypes across all tumour subtypes, including triple-negative breast cancer. Furthermore, YWHAB emerges as a potential tumour marker, exhibiting high expression in metastatic BRCA and correlating with poor patient survival; however, it is not a sensitive blood biomarker.

Smac/DIABLO protein acts as an independent prognostic factor in oral squamous cell carcinoma

Oral squamous cell carcinoma (OSCC) poses significant health risks with increasing incidence and mortality rates. In this context, there is an urgent need to explore novel biomarkers to enhance therapeutic strategies and improve survival. Understanding apoptotic evasion in cancer pathogenesis, this pioneering study aims to investigate the correlation between a pro-apoptotic protein Smac/DIABLO and patient prognosis within the OSCC cohort. Immunohistochemistry (IHC) was employed to analyze Smac/DIABLO protein expression and correlate with clinicopathological and prognostic factors during a long-term follow-up. Smac/DIABLO low expression was associated with worse overall survival (OS), relapse-free survival (RFS), disease-specific survival (DSS), and an increase in risk of lymph node metastasis (LNM) in univariate analyses. Furthermore, multivariate analyses confirmed Smac/DIABLO as an independent prognostic factor, predicting poorer OS [Hazard Ratio (HR) = 3.6 (95% CI 1.7-7.6), p < 0.001], RFS [HR = 2.9 (95% CI 1.4-5.6), p = 0.003], DSS [HR = 6.7 (95% CI 2.7-16.7), p < 0.001], and increased likelihood of LNM [Odds Ratio (OR) = 4.8 (95% CI 1.4-15.9), p = 0.011]. Patients with positive Smac/DIABLO expression exhibited three times higher survival probability. Low proapoptotic protein Smac/DIABLO expression significantly influences prognostic predictions and strongly correlates with poor OSCC outcomes. Future studies involving Smac-mimetic drugs in OSCC are needed to evaluate their pro-apoptotic potential in cancer cells.

Data Transmission Enhancement Using Optimal Coding Technique Over In Vivo Channel for Interbody Communication

Wireless in vivo actuators and sensors are examples of sophisticated technologies. Another breakthrough is the use of in vivo wireless medical devices, which provide scalable and cost-effective solutions for wearable device integration. In vivo wireless body area networks devices reduce surgery invasiveness and provide continuous health monitoring. Also, patient data may be collected over a long period of time. Given the large fading in in vivo channels due to the signal path going through flesh, bones, skins, and blood, channel coding is considered a solution for increasing the efficiency and overcoming inter-symbol interference in wireless communications. Simulations are performed by using 50 MHz bandwidth at Ultra-Wideband frequencies (3.10-10.60 GHz). Optimal channel coding (Turbo codes, Convolutional codes, with the help of polar codes) improves data transmission performance over the in vivo channel in this research. Moreover, the results reveal that turbo codes outperform polar and convolutional codes in terms of bit error rate. Other approaches perform similarly when the information block length is increased. The simulation in this work indicates that the in vivo channel shows less performance than the Rayleigh channel due to the dense structure of the human body (flesh, skins, blood, bones, muscles, and fat).

Margin-to-depth ratio as an independent prognostic factor in resected oral cavity squamous cell carcinoma: A nationwide cohort study

BACKGROUND

The prognostic significance of margin-to-depth ratio (MDR) in oral cavity squamous cell carcinoma (OCSCC) remains unclear, particularly in comparison to traditional margin status. We aimed to examine the association between MDR and clinical outcomes in a large Taiwanese cohort.

METHODS

A total of 18,324 patients with first primary OCSCC were categorized by margin status: positive (1013), <5 mm (8371), and ≥ 5 mm (8940). Disease-specific survival (DSS) and overall survival (OS) served as the main outcome measures.

RESULTS

After excluding patients with positive margins (MDR = 0), the optimal MDR cutoff value for DSS and OS was 0.6. Patients with MDR > 0.6 showed significantly better 5-year DSS and OS rates (87 %, 81 %) compared to those with MDR ≤ 0.6 (71 %, 63 %) and MDR = 0 (53 %, 43 %). Multivariable analysis identified MDR ≤ 0.6 as independently associated with both DSS and OS in the entire cohort (hazard ratio [HR] = 1.34/1.32). This finding was consistent in the subgroups with surgical margins < 5 mm (HR = 1.39 for DSS and 1.38 for OS) and margins ≥ 5 mm (HR = 1.21 for both DSS and OS). In subgroups with surgical margins < 5 mm and ≥ 5 mm, an MDR > 0.6 was associated with better survival outcomes.

CONCLUSIONS

An MDR (cutoff: 0.6) is independently associated with prognosis in OCSCC, offering improved risk stratification compared to margin status alone. While MDR may guide surgical margin modification, further research is needed to determine whether MDR could serve as a postoperative indicator for adjuvant therapy in patients with close or clear margins.

High CTLA-4 gene expression is an independent good prognosis factor in breast cancer patients, especially in the HER2-enriched subtype

BACKGROUND

Breast cancer (BC) is the most common cancer in women and the leading cause of cancer-related death worldwide. This heterogeneous disease has been historically considered a non-immunogenic type of cancer. However, recent advances in immunotherapy have increased the interest in knowing the role of the immune checkpoints (IC) and other immune regulation pathways in this neoplasia.

METHODS

In this retrospective study, we evaluated the correlation of mRNA expression of CTLA-4, PDCD1 (PD1), CD274 (PD-L1), PDCD1LG2 (PD-L2), CD276 (B7-H3), JAK2, and FOXO1 with clinicopathological factors and BC patient's outcome by real-time quantitative polymerase chain reaction (qPCR).

RESULTS

Our results showed that immunoregulatory gene expression depends on BC immunophenotype being CTLA-4 and PDCD1 (PD1) overexpressed on triple-negative/basal-like (TN/BL) and luminal B/HER2-positive phenotypes, respectively, and CD276 (B7-H3), JAK2 and FOXO1 associated with both luminal A and luminal B/HER2-negative tumors. In addition, we found that these genes can also be related to aggressive and non-aggressive clinicopathological characteristics in BC. Finally, survival analysis showed that CTLA-4 expression levels emerge as a significant independent factor of good prognosis in BC patients, especially in the HER2-enriched subtype.

CONCLUSION

Considering all these data, we can conclude that the expression of immunoregulatory genes depends on tumor phenotype and has potential clinical implications in BC patients.

Prognostic significance of adjuvant therapy and specific radiation dosages in Taiwanese patients with oral cavity cancer and extra-nodal extension: a nationwide cohort study

BACKGROUND

The evidence for adjuvant chemoradiotherapy (CRT) of oral cavity squamous cell carcinoma (OCSCC) with extra-nodal extension (ENE) in National Comprehensive Cancer Network (NCCN) guidelines is derived from patients with head and neck cancer. The guidelines further suggest a radiation dose ranging from 6000 to 6600 cGy. In this nationwide study, we sought to evaluate the prognostic significance of adjuvant therapy and the specific radiation dosage in Taiwanese patients with pure OCSCC and ENE.

METHODS

A retrospective analysis of 1577 OCSCC patients with ENE who underwent resection and received adjuvant CRT or radiotherapy (RT) between January 2011 and December 2020 was conducted.

RESULTS

Multivariable analysis revealed that adjuvant RT, more than four pathologically positive nodes, and radiation dosage below 6000 cGy were independent risk factors for unfavorable 5-year disease-specific survival (DSS) and overall survival (OS). Comparing patients who received CRT (n = 1453) to those treated with RT (n = 124) before and after propensity score (PS) matching, the 5-year outcomes were as follows: before PS matching, DSS (54% versus 30%, p < 0.0001), OS (42% versus 18%, p < 0.0001); after PS matching (n = 111 in each group), DSS (52% versus 30%, p = 0.0016), OS (38% versus 21%, p = 0.0019). For patients who underwent CRT, the 5-year outcomes for different radiation dose groups (6600 - 7000 cGy, n = 1155 versus 6000 - 6500 cGy, n = 199) were as follows: before PS matching, DSS (52% versus 54%, p = 0.1904), OS (43% versus 46%, p = 0.1610); after PS matching (n = 199 in each group), DSS (55% versus 54%, p = 0.8374), OS (46.5% versus 46.3%, p = 0.7578).

CONCLUSIONS

For OCSCC patients with ENE, our study shows CRT improved survivals than RT alone, underscoring the clinical significance of chemotherapy. Patients undergoing CRT with irradiation doses ranging from 6000 to 6500 cGy exhibited comparable survival outcomes to those receiving doses of 6600-7000 cGy. This observation suggests that irradiation doses exceeding the 6600 cGy may not confer the survival advantage in these patients. Further research is needed to confirm our results and explore the optimal irradiation dose for managing these patients.

PD-L1 protein expression in breast cancer

AIMS

The immune checkpoint marker, Programmed cell death-ligand 1 (PD-L1), is expressed by both cancer epithelial cells and tumour-infiltrating immune cells (TICs) thus constituting a potential target for immunotherapy. This is of particular interest in triple negative breast cancer. In this study, we assessed the prognostic value of PD-L1 expression in tumour epithelial cells and TICs in a series of patients with breast cancer with long-term follow-up, and associations between PD-L1 expression and histopathological type and grade, proliferation and molecular subtype.

METHODS

Using immunohistochemistry for PD-L1 in tissue microarrays, we assessed PD-L1 expression in 821 tumours. Expression of PD-L1 was assessed separately in the epithelial and stromal compartments and classified as <1%, ≥1% to <10% or ≥10% positive staining cells. We correlated PD-L1 expression in tumour epithelial cells and TICs with tumour characteristics using Pearson's χ2 test, and prognosis by cumulative incidence of death from breast cancer and Cox regression analyses.

RESULTS

We found membranous staining in ≥1% of tumour epithelial cells in 53/821 cases (6.5%). Of these, 21 (2.6%) were ≥10%. Among TICs, staining (≥1%) was seen in 144/821 cases (17.6%). Of these, 62 were ≥10% (7.6%). PD-L1 was associated with high histopathological grade and proliferation, and the medullary and metaplastic patterns. In TICs, PD-L1 ≥1% found in 22/34 (34.4%) human epidermal growth factor receptor 2 type and 29/58 (50%) basal phenotype. An independent association between PD-L1 expression and prognosis was not observed.

CONCLUSIONS

PD-L1 is expressed more frequently in TICs than tumour epithelial cells. Expression in TICs is associated with aggressive tumour characteristics and non-luminal tumours but not with prognosis.

Integrated multicenter deep learning system for prognostic prediction in bladder cancer

Precise survival risk stratification is crucial for personalized therapy in bladder cancer (BCa). This study developed and validated an end-to-end deep learning system using histological slides to predict overall survival (OS) risk in BCa patients. We employed the BlaPaSeg tile classifier to generate tissue probability heatmaps and segmentation maps, trained two prognostic networks, MacroVisionNet and UniVisionNet, and explored six potential BCa prognostic biomarkers. Across all cohorts, the AUC for BlaPaSeg ranged from 0.9906 to 0.9945, while the C-index varied from 0.655 to 0.834 for MacroVisionNet and 0.661 to 0.853 for UniVisionNet. After covariate adjustment, the hazard ratio (HR) values for high-risk groups were 1.97 to 5.06 in MacroVisionNet and 2.13 to 4.01 in UniVisionNet. The high-risk Coloc (Tumor Co-localization score) and IMTS (Integrated Muscle Tumor Score) groups illustrated a higher death risk with HR values from 1.41 to 10.16. The system improves BCa survival prediction and supports refined patient management.

Biomarkers in head and neck squamous cell carcinoma: unraveling the path to precision immunotherapy

Recent strides in understanding the molecular underpinnings of head and neck cancers have sparked considerable interest in identifying precise biomarkers that can enhance prognostication and enable personalized treatment strategies. Immunotherapy has particularly revolutionized the therapeutic landscape for head and neck squamous cell carcinoma, offering new avenues for treatment. This review comprehensively examines the application and limitations of the established and emerging/novel biomarkers for head and neck squamous cell carcinoma. Established biomarkers, including well-characterized genetic mutations, protein expressions, and clinical factors, have been extensively studied and validated in clinical practice. Novel biomarkers identified through molecular analyses, including novel genetic alterations, immune-related markers, and molecular signatures, are currently being investigated and validated in preclinical and clinical settings. Biomarkers hold the potential to deepen our understanding of head and neck squamous cell carcinoma biology and guide therapeutic strategies. The evolving paradigm of predictive biomarkers facilitates the study of individual responses to specific treatments, including targeted therapy and immunotherapy.

Digital assessment of tertiary lymphoid structures and therapeutic responses in gastric cancer: a multicentric retrospective study

BACKGROUND

Tertiary lymphoid structures (TLSs) are associated with favorable prognosis and enhanced response to anticancer therapy. A digital assessment of TLSs could provide an objective alternative that mitigates variability inherent in manual evaluation. This study aimed to develop and validate a digital gene panel based on biological prior knowledge for assessment of TLSs, and further investigate its associations with survival and multiple anticancer therapies.

MATERIALS AND METHODS

The present study involved 1704 patients with gastric cancer from seven cancer centers. TLSs were identified morphologically through hematoxylin-and-eosin staining. The authors further developed a digital score based on targeted gene expression profiling to assess TLSs status, recorded as gene signature of tertiary lymphoid structures (gsTLS). For enhanced interpretability, we employed the SHapley Additive exPlanation (SHAP) analysis to elucidate its contribution to the prediction. The authors next evaluated the signature's associations with prognosis, and investigated its predictive accuracy for multiple anticancer therapies, including adjuvant chemotherapy and immunotherapy.

RESULTS

The gsTLS panel with nine gene features achieved high accuracies in predicting TLSs status in the training, internal, and external validation cohorts (area under the curve, range: 0.729-0.791). In multivariable analysis, gsTLS remained an independent predictor of disease-free and overall survival (hazard ratio, range: 0.346-0.743, all P <0.05) after adjusting for other clinicopathological variables. SHAP analysis highlighted gsTLS as the strongest predictor of TLSs status compared with clinical features. Importantly, patients with high gsTLS (but not those with low gsTLS) exhibited substantial benefits from adjuvant chemotherapy ( P <0.05). Furthermore, the authors found that the objective response rate to antiprogrammed cell death protein 1 (anti-PD-1) immunotherapy was significantly higher in the high-gsTLS group (40.7%) versus the low-gsTLS group (5.6%, P =0.036), and the diagnosis was independent from Epstein-Barr virus, tumor mutation burden, and programmed cell death-ligand 1 (PD-L1) expression.

CONCLUSION

The gsTLS digital panel enables accurate assessment of TLSs status, and provides information regarding prognosis and responses to multiple therapies for gastric cancer.

Systemic treatments in recurrent or metastatic salivary gland cancer: a systematic review

BACKGROUND

Salivary gland cancers are infrequent and pose a challenge owing to their histological diversity and varied clinical behavior, making the selection of optimal systemic treatments for advanced or recurrent stages difficult. This systematic review aims to assess overall survival outcomes and systemic treatment responses across four types of salivary cancers.

METHODS

A PubMed and Google Scholar search identified studies involving initially advanced or relapsed cases undergoing systemic treatment. Studies with clear, individualized data on treatment responses and outcomes were selected based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Of the 723 studies screened, 44 met our inclusion criteria.

RESULTS

A total of 426 cases of recurrent/metastatic salivary gland cancer, mostly salivary duct carcinoma (SDC; n = 219) and adenoid cyst carcinoma (ACC; n = 167), were included. Histomolecular markers were heavily associated with histology, with HER2 overexpression and androgen receptor nuclear expression typically found in SDC and adenocarcinoma not otherwise specified cases and KIT overexpression only in ACC. The response rates were associated with specific receptor blockage, with trastuzumab plus chemotherapy, and bicalutamide being the most effective (overall response rate 80% and 42.8%, respectively). Moreover, the response to treatment positively influenced overall survival (responders 38 versus non-responders 18.7 median months; P < 0.001). In this retrospective analysis of a particular cohort, survival outcomes per histology types showed that anti-human epidermal growth factor receptor 2 therapy was more effective for SDC, while chemotherapy was more effective for ACC.

CONCLUSION

Systemic treatments contribute to the survival of patients with salivary gland cancer at relapsed or newly advanced stages. The response to treatment is heavily influenced by histological subtype and treatment specificity.

Protein Biomarkers in Lung Cancer Screening: Technical Considerations and Feasibility Assessment

Lung cancer remains the leading cause of cancer-related deaths worldwide, mainly due to late diagnosis and the presence of metastases. Several countries around the world have adopted nation-wide LDCT-based lung cancer screening that will benefit patients, shifting the stage at diagnosis to earlier stages with more therapeutic options. Biomarkers can help to optimize the screening process, as well as refine the TNM stratification of lung cancer patients, providing information regarding prognostics and recommending management strategies. Moreover, novel adjuvant strategies will clearly benefit from previous knowledge of the potential aggressiveness and biological traits of a given early-stage surgically resected tumor. This review focuses on proteins as promising biomarkers in the context of lung cancer screening. Despite great efforts, there are still no successful examples of biomarkers in lung cancer that have reached the clinics to be used in early detection and early management. Thus, the field of biomarkers in early lung cancer remains an evident unmet need. A more specific objective of this review is to present an up-to-date technical assessment of the potential use of protein biomarkers in early lung cancer detection and management. We provide an overview regarding the benefits, challenges, pitfalls and constraints in the development process of protein-based biomarkers. Additionally, we examine how a number of emerging protein analytical technologies may contribute to the optimization of novel robust biomarkers for screening and effective management of lung cancer.

TAK1 expression is associated with increased PD-L1 and decreased cancer-specific survival in microsatellite-stable colorectal cancer

BACKGROUND

Transforming growth factor β-activated protein kinase-1 (TAK1) plays an important role in MAPK and NFκB pathways and has been associated with colorectal cancer. The aim of this study was to determine how cytoplasmic and juxtanuclear punctate staining of TAK1 relates to immune checkpoint expression and cancer specific survival in colorectal cancer.

METHODS

Protein expression was assessed by immunohistochemistry on tissue microarrays from primary curative colorectal cancer resected specimens. Expression levels of cytoplasmic TAK1 by QuPath digital quantification and punctate TAK1 staining was scored using a manual point scoring technique and correlated with clinicopathological features, immune checkpoint expression and cancer-specific survival. Bulk RNA sequencing was performed in specimens to determine mutational profiles and differentially expressed genes.

RESULTS

A cohort of 875 patients who had undergone colorectal cancer resection were assessed for TAK1 expression. Higher levels of cytoplasmic TAK1 expression correlated with elevated PD1 and PD-L1 expression (p < 0.010). High punctate TAK1 expression was more commonly identified in poorly differentiated colorectal cancers (p = 0.036), had dysregulated mutational and transcriptional profiles with decreased insulin-like growth factor 2(IGF2) expression (p < 0.010), and independently predicted poor cancer-specific survival (HR 2.690, 95% CI 1.419-5.100, p = 0.002). The association of punctate TAK1 expression and recurrence remained after subgroup analysis for microsatellite-stable colorectal cancer (p = 0.028).

DISCUSSION

Punctate TAK1 expression is associated with worse cancer specific survival. TAK1 signalling may be an important pathway to investigate underlying mechanisms for recurrence in microsatellite-stable colorectal cancer.

Prognostic Significance of Albumin-Globulin Ratio in Urachal Carcinoma

INTRODUCTION

Although albumin-globulin ratio (AGR) has been used in the prognostic assessment of multiple solid malignancies, so far no research has confirmed the prognostic significance of AGR as a biomarker for urachal carcinoma. We analyzed the relationship between AGR and prognosis in urachal carcinoma, aiming to identify a promising prognostic biomarker for urachal carcinoma.

METHODS

We reviewed the clinical data of 25 patients diagnosed with urachal carcinoma in the Xiangya Hospital, Central South University, from January 2008 to October 2021. The best cut-off value of preoperative AGR was determined according to the receiver operator characteristic curve. The Kaplan-Meier curve was used to analyze the effect of preoperative AGR on the overall survival (OS) and relapse-free survival (RFS) of patients. Cox proportional hazards model was used to analyze prognostic factors including preoperative AGR.

RESULTS

The best cut-off value of preoperative AGR in urachal carcinoma patients is 1.45. Low preoperative AGR is significantly associated with worse OS and RFS. Univariate analysis and multivariate analysis indicated that low preoperative AGR is an independent and reliable factor to predict poor prognosis, OS, and RFS in urachal carcinoma patients.

CONCLUSION

Urachal carcinoma patients with low preoperative AGR have worse prognosis, and preoperative AGR is a valuable prognostic indicator for urachal carcinoma research.

Comparative immunohistochemical expression of Beta catenin and CD163 between dysplastic / non-dysplastic oral lichen planus and lichenoid lesions (EX-VIVO STUDY)

BACKGROUND

Oral lichen planus is a well-known chronic inflammatory mucocutaneous disorder, which has clinical and histological presentation that mimics oral lichenoid reaction. According to the fifth edition of WHO, both conditions are considered as oral potentially malignant disorders. Recent studies on oral potential disorders documented deregulation of some signaling molecules related to the Wnt/β-catenin pathway. Therefore this study aimed to compare the immune expression of β-catenin & CD163 in dysplastic /non-dysplastic cases of Oral lichen planus & oral lichenoid lesion. In addition, a statistical correlation between both immune markers was done regardless of the type of the study group.

METHODS

Four study groups were designated as 2 groups of Oral lichen planus (one dysplastic & one non -dysplastic) and the other 2 groups were oral lichenoid lesions (one dysplastic & one non -dysplastic). Ten cases in each group were collected and investigated by immunohistochemistry. The area percent of beta catenin and also counting of m2 macrophages expressing + CD163 marker was calculated in the study groups.

RESULTS

The Statistical analysis highlighted a statistically significant difference between the studied groups. Moreover, Pearson correlation test reported a significant moderate positive correlation between beta catenin & CD163 expression in the studied cases.

CONCLUSION

Our findings supported new perceptions of the mechanism by which tumor associated macrophage specific β-catenin signaling promotes the aggressive behavior of oral potential malignant disorders.

CLINICAL RELEVANCE

Evidence of the relationship between beta catenin and M2 macrophages (+ CD163) may enhance the development of macrophage-based strategies for treatment and improve the prognosis of such cases.

Criteria for assessing evidence for biomarker-targeted therapies in rare cancers-an extrapolation framework

Background

Advances in targeted therapy development and tumor sequencing technology are reclassifying cancers into smaller biomarker-defined diseases. Randomized controlled trials (RCTs) are often impractical in rare diseases, leading to calls for single-arm studies to be sufficient to inform clinical practice based on a strong biological rationale. However, without RCTs, favorable outcomes are often attributed to therapy but may be due to a more indolent disease course or other biases. When the clinical benefit of targeted therapy in a common cancer is established in RCTs, this benefit may extend to rarer cancers sharing the same biomarker. However, careful consideration of the appropriateness of extending the existing trial evidence beyond specific cancer types is required. A framework for extrapolating evidence for biomarker-targeted therapies to rare cancers is needed to support transparent decision-making.

Objectives

To construct a framework outlining the breadth of criteria essential for extrapolating evidence for a biomarker-targeted therapy generated from RCTs in common cancers to different rare cancers sharing the same biomarker.

Design

A series of questions articulating essential criteria for extrapolation.

Methods

The framework was developed from the core topics for extrapolation identified from a previous scoping review of methodological guidance. Principles for extrapolation outlined in guidance documents from the European Medicines Agency, the US Food and Drug Administration, and Australia's Medical Services Advisory Committee were incorporated.

Results

We propose a framework for assessing key assumptions of similarity of the disease and treatment outcomes between the common and rare cancer for five essential components: prognosis of the biomarker-defined cancer, biomarker test analytical validity, biomarker actionability, treatment efficacy, and safety. Knowledge gaps identified can be used to prioritize future studies.

Conclusion

This framework will allow systematic assessment, standardize regulatory, reimbursement and clinical decision-making, and facilitate transparent discussions between key stakeholders in drug assessment for rare biomarker-defined cancers.

Prognostic significance of the neutrophil to lymphocyte ratio in locally advanced breast cancer

The present study aimed to clarify the prognostic role of the pre-treatment neutrophil-to-lymphocyte ratio (NLR) for the response to neoadjuvant chemotherapy (NAC) in locally advanced breast cancer (LABC). Due to conflicting results in currently available data, the specific focus of the present study was on evaluating the associations between the pre-treatment NLR and the rate of achieving a pathological complete response (pCR) and survival outcomes. For the present study, data from a cohort of 465 consecutive patients with LABC who underwent NAC at King Feisal Specialist Hospital and Research Center (Riyadh, Saudi Arabia) between 2005 and 2014 were obtained from a prospective BC database and analyzed. Patients were stratified into two groups based on an optimal NLR cut-off determined using the receiver operating characteristic curve. Logistic regression analyses were conducted to assess variables associated with pCR, and Cox regression analyses were used to assess variables associated with survival outcomes. The low pre-treatment NLR group (≤2.2) was found to exhibit a higher likelihood of achieving a pCR (odds ratio, 2.59; 95% CI, 1.52-4.38; P<0.001), along with higher 5-year disease-free survival (DFS) [75.8 vs. 64.9%; hazard ratio (HR), 0.69; 95% CI, 0.50-0.94; P=0.02] and 5-year overall survival (OS; 90.3 vs. 81.9; HR, 0.62; 95% CI, 0.39-0.98; P=0.04) rates compared with those in the high NLR group (>2.2). Sub-group analysis revealed that the observed significance in survival outcomes was driven by the triple-negative BC (TNBC) subgroup. Patients with residual TNBC disease and a high pre-treatment NLR were observed to have lower 5-year DFS (44.4 vs. 75.0%; P=0.02) and 5-year OS (55.9 vs. 84.5%; P=0.055) rates compared with those with residual TNBC disease and a low NLR. To conclude, data from the present study suggest that the pre-treatment NLR can serve as a viable independent prognostic factor for pCR following NAC in patients with LABC and for survival outcomes, particularly for patients with TNBC.

DNA ploidy and PTEN as biomarkers for predicting aggressive disease in prostate cancer patients under active surveillance

BACKGROUND

Current risk stratification tools for prostate cancer patients under active surveillance (AS) may inadequately identify those needing treatment. We investigated DNA ploidy and PTEN as potential biomarkers to predict aggressive disease in AS patients.

METHODS

We assessed DNA ploidy by image cytometry and PTEN protein expression by immunohistochemistry in 3197 tumour-containing tissue blocks from 558 patients followed in AS at a Norwegian local hospital. The primary endpoint was treatment, with treatment failure (biochemical recurrence or initiation of salvage therapy) as the secondary endpoint.

RESULTS

The combined DNA ploidy and PTEN (DPP) status at diagnosis was associated with treatment-free survival in univariable- and multivariable analysis, with a HR for DPP-aberrant vs. DPP-normal tumours of 2.12 (p < 0.0001) and 1.94 (p < 0.0001), respectively. Integration of DNA ploidy and PTEN status with the Cancer of the Prostate Risk Assessment (CAPRA) score improved risk stratification (c-index difference = 0.025; p = 0.0033). Among the treated patients, those with DPP-aberrant tumours exhibited a significantly higher likelihood of treatment failure (HR 2.01; p = 0.027).

CONCLUSIONS

DNA ploidy and PTEN could serve as additional biomarkers to identify AS patients at increased risk of developing aggressive disease, enabling earlier intervention for nearly 50% of the patients that will eventually receive treatment with current protocol.

Mitotic activity: A systematic literature review of the assessment methodology and prognostic value in feline tumors

Increased proliferation is a driver of tumorigenesis, and quantification of mitotic activity is a standard task for prognostication. This systematic review is an analysis of all available references on mitotic activity in feline tumors to provide an overview of the assessment methods and prognostic value. A systematic literature search in PubMed and Scopus and a nonsystematic search in Google Scholar were conducted. All articles on feline tumors that correlated mitotic activity with patient outcome were identified. Data analysis revealed that of the 42 eligible articles, mitotic count (MC, mitotic figures/tumor area) was evaluated in 39 studies, and mitotic index (MI, mitotic figures/tumor cells) in 3 studies. The risk of bias was considered high for most studies (26/42, 62%) based on small study populations, insufficient details of the MC/MI methods, and lack of statistical measures for diagnostic accuracy or effect on outcome. The MC/MI methods varied between studies. A significant association of MC with survival was determined in 20 of 28 (71%) studies (10 studies evaluated other outcome metrics or provided individual patient data), while 1 study found an inverse effect. Three tumor types had at least 4 studies, and a prognostic association with survival was found in 5 of 6 studies on mast cell tumors, 5 of 5 on mammary tumors, and 3 of 4 on soft-tissue sarcomas. MI was shown to correlate with survival for mammary tumors by 2 research groups; however, comparisons to MC were not conducted. Further studies with standardized mitotic activity methods and appropriate statistical analysis for discriminant ability of patient outcome are needed to infer the prognostic value of MC and MI.

Blood Biomarkers of Long COVID: A Systematic Review

BACKGROUND

Long coronavirus disease (COVID; LC) affects millions of people worldwide. The exact mechanisms which result in a broad, undulating and detrimental symptom profile remain unknown. Blood biomarkers associated with LC have been described; however, consensus on these remains elusive, in part due to a lack of continuity between studies on a universally accepted definition of LC. This systematic review aimed to consolidate current knowledge of blood biomarkers associated with the prevalence of LC on the basis of the World Health Organisation (WHO) clinical definition of this condition.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Observational, cross-sectional, and randomised control studies published in the English language that studied blood biomarkers associated with the WHO definition of LC. All studies included participants who were ≥ 18 years old and group sizes ≥ 10 participants, and were compared against a control group without any known co-morbidities.

METHODS

A systematic literature search was conducted according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines and prospectively registered on Prospero (ID: CRD42022373121). The Cochrane, Embase, PubMed and Web of Science databases were searched from inception to January 2024. Search results were gathered using Rayyan software and data extracted using Microsoft Excel. The reporting recommendations for tumour markers prognostic studies (REMARK) questionnaire was used to assess the quality of the included studies.

RESULTS

A total of 45 observational and one interventional study comprising 4415 participants were included in this review which identified 525 blood biomarkers thought to be associated with LC. Three blood biomarker subtypes were associated with the development of LC: (1) immunological and inflammatory dysfunction, (2) endothelial/vascular dysfunction and (3) metabolic and clotting abnormalities.

DISCUSSION AND CONCLUSIONS

Our data are consistent with previous findings; however, no single biomarker was sufficiently associated with LC prevalence and instead a profile of biomarkers across various physiological systems may be more clinically useful. In all, 196 studies were excluded due to a lack of an adequately healthy comparator group and/or failure to meet the WHO LC definition. This demonstrates a need for further research incorporating a universal LC definition across all disease severity groups and symptom profiles, and longitudinal data reflecting the relapsing and remitting nature of this condition. Further investigation into blood biomarkers of LC, including clear reporting of healthy comparator groups and the investigation of acute and chronic biomarker changes, within the context of medical practice, may support the development of curative/restorative approaches.

Differential expression of NAT1 pharmacogene in hormone receptor positive vs. negative female breast tumors may affect drug treatment

Studies have reported overexpression of NAT1 gene for xenobiotic metabolizing arylamine N -acetyltransferase type 1 in estrogen receptor positive breast tumors, and this association has been linked to patient chemoresistance and response to tamoxifen. We probed the expression of NAT1 , using quantitative reverse transcription PCR to screen clinically characterized breast cancer tissue cDNA arrays. Primers detecting all NAT1 alternative transcripts were used, and the protocol and results are reported according to consensus guidelines. The clinical information about 166 tumor samples screened is provided, including tumor stage, estrogen and progesterone receptor status and HER2 expression. NAT1 was found to be significantly ( P  < 0.001) upregulated in hormone receptor positive vs. negative tumors. No correlation was apparent between NAT1 and tumor stage or HER2 expression. Our findings demonstrate a strong correlation between the expression of NAT1 and steroid hormone receptors in breast tumors, supporting its possible utility as a pharmacogenetic biomarker or drug target. Of the two polymorphic NAT genes, NAT1 is the one primarily expressed in breast tissue, and is subjected to regulation by two differential promoters and more than one polyadenylation signal. Hormonal factors may enhance NAT1 gene expression at the transcriptional or epigenetic level, and tamoxifen has additionally been shown to inhibit NAT1 enzymatic activity. The outcome of tamoxifen treatment is also more favorable in patients with NAT1 overexpressing tumors. The study adds to the growing body of evidence implicating NAT1 in breast cancer and its pharmacological treatment.

Prognostic impact of bridge or neoadjuvant induction chemotherapy in patients with resected oral cavity cancer: A nationwide cohort study

BACKGROUND

While surgery remains the primary treatment for oral squamous cell carcinoma (OCSCC), induction chemotherapy (IC) can be used as a bridging or neoadjuvant therapy. This nationwide study in Taiwan examines the survival outcomes of OCSCC patients who received IC before surgery.

METHODS

We analyzed data from 29,891 patients with OCSCC. Of these, 29,058 initially underwent surgery (OP group), whereas 833 received IC before surgery (IC + OP group). A propensity score (PS)-matched analysis (4, 1 ratio, 3260 vs. 815 patients) was performed considering tumor subsite, sex, age, Charlson comorbidity index, clinical T1-T4b tumors, clinical N0-3 disease, and clinical stage I-IV.

RESULTS

In the PS-matched cohort, the 5-year disease-specific survival (DSS) and overall survival (OS) rates were 65% and 57%, respectively. When comparing the OP and IC + OP groups, the 5-year DSS rates were 66% and 62%, respectively (p = 0.1162). Additionally, the 5-year OS rates were 57% and 56%, respectively (p = 0.9917). No significant intergroup differences in survival were observed for specific subgroups with cT4a tumors, cT4b tumors, cN3 disease, pT4b tumors, and pN3 disease. However, for patients with pT4a tumors, the OP group demonstrated superior 5-year outcomes compared to the IC + OP group, with a DSS of 62% versus 52% (p = 0.0006) and an OS of 53% versus 44% (p = 0.0060). Notably, patients with cT2-3, cN1, and c-Stage II disease in the IC + OP group were significantly more likely to achieve pT0-1 status (p < 0.05).

CONCLUSIONS

Following PS matching, the IC + OP group generally exhibited similar prognosis to the OP group. However, for pT4a tumors, the OP group showed superior 5-year outcomes. While IC may not universally improve survival, it could be advantageous for patients who respond positively to the treatment.

A prognostic and predictive computational pathology immune signature for ductal carcinoma in situ: retrospective results from a cohort within the UK/ANZ DCIS trial

BACKGROUND

The density of tumour-infiltrating lymphocytes (TILs) could be prognostic in ductal carcinoma in situ (DCIS). However, manual TIL quantification is time-consuming and suffers from interobserver and intraobserver variability. In this study, we developed a TIL-based computational pathology biomarker and evaluated its association with the risk of recurrence and benefit of adjuvant treatment in a clinical trial cohort.

METHODS

In this retrospective cohort study, a computational pathology pipeline was developed to generate a TIL-based biomarker (CPath TIL categories). Subsequently, the signature underwent a masked independent validation on H&E-stained whole-section images of 755 patients with DCIS from the UK/ANZ DCIS randomised controlled trial. Specifically, continuous biomarker CPath TIL score was calculated as the average TIL density in the DCIS microenvironment and dichotomised into binary biomarker CPath TIL categories (CPath TIL-high vs CPath TIL-low) using the median value as a cutoff. The primary outcome was ipsilateral breast event (IBE; either recurrence of DCIS [DCIS-IBE] or invasive progression [I-IBE]). The Cox proportional hazards model was used to estimate the hazard ratio (HR).

FINDINGS

CPath TIL-score was evaluable in 718 (95%) of 755 patients (151 IBEs). Patients with CPath TIL-high DCIS had a greater risk of IBE than those with CPath TIL-low DCIS (HR 2·10 [95% CI 1·39-3·18]; p=0·0004). The risk of I-IBE was greater in patients with CPath TIL-high DCIS than those with CPath TIL-low DCIS (3·09 [1·56-6·14]; p=0·0013), and the risk of DCIS-IBE was non-significantly higher in those with CPath TIL-high DCIS (1·61 [0·95-2·72]; p=0·077). A significant interaction (pinteraction=0·025) between CPath TIL categories and radiotherapy was observed with a greater magnitude of radiotherapy benefit in preventing IBE in CPath TIL-high DCIS (0·32 [0·19-0·54]) than CPath TIL-low DCIS (0·40 [0·20-0·81]).

INTERPRETATION

High TIL density is associated with higher recurrence risk-particularly of invasive recurrence-and greater radiotherapy benefit in patients with DCIS. Our TIL-based computational pathology signature has a prognostic and predictive role in DCIS.

FUNDING

National Cancer Institute under award number U01CA269181, Cancer Research UK (C569/A12061; C569/A16891), and the Breast Cancer Research Foundation, New York (NY, USA).

Prognostic value of Maspin protein level in patients with triple negative breast cancer

The search for prognostic markers in breast cancer has bumped into a typical feature of these tumors, intra and intertumoral heterogeneity. Changes in the expression profile, localization of these proteins or shedding to the surrounding stroma can be useful in the search for new markers. In this context, classification by molecular subtypes can bring perspectives for both diagnosis and screening for appropriate treatments. However, the Triple Negative (TN) subtype, which is already the one with the worst prognosis, lacks appropriate and consistent molecular markers. In this work, we analyzed 346 human breast cancer samples in tissue microarrays (TMA) from cases diagnosed with invasive breast carcinoma to assess the expression and localization pattern of Maspin and their correlation with clinical parameters. To complement our findings, we also used TCGA data to analyze the mRNA levels of these respective genes. Our data suggests that the TN subtype demonstrates a higher level of cytoplasmic Maspin compared to the other subtypes. Maspin transcript levels follow the same trend. However, TN patients with lower Maspin expression tend to have worse overall survival and free-survival metastasis rates. Finally, we used Maspin expression data to verify possible relationships with the clinicopathological information of our cohort. Our univariate analyses indicate that Maspin is related to the expression of estrogen receptor (ER) and progesterone receptor (PR). Furthermore, Maspin expression levels also showed correlation with Scarff-Bloom-Richardson (SBR) parameter, and stromal Maspin showed a relationship with lymph node involvement. Our data is not consistently robust enough to categorize Maspin as a prognostic marker. However, it does indicate a change in the expression profile within the TN subtype.