Impact of comorbidities at diagnosis on the 10-year colorectal cancer net survival: A population-based study

Mortality rate and predictors of colorectal cancer patients in Ethiopia: a systematic review and meta-analysis

INTRODUCTION

The incidence of colorectal cancer (CRC) has been increasing in Sub-Saharan countries, including Ethiopia. However, the real mortality rate for CRC patients in Ethiopia has not been established. Therefore, this systematic review and meta-analysis aimed to determine the overall mortality rate and identify predictors among CRC patients in Ethiopia.

METHODS

PubMed, EMBASE, Web of Science, Scopus, Science Direct, and Google Scholar were searched to identify relevant articles. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) were followed. The quality of the included studies was assessed using the Newcastle-Ottawa Scale Critical Appraisal checklist. A random effect model was used to estimate the pooled mortality rate and adjusted hazard ratio (AHR). Publication bias was assessed using funnel plots and Egger's regression test, while heterogeneity was evaluated through the Cochran Q test and I2 statistics.

RESULTS

After reviewing 74 articles, only 7 studies met the criteria and were included in the analysis. The analysis revealed that the overall mortality rate among CRC patients in Ethiopia was 40.5% (95% confidence interval [CI]: 32.05, 48.87) while the survival rates at 1 year, 3 years, and 5 years were 82.3% (95% CI: 73.33, 91.31), 48.8% (95% CI: 43.35, 54.32), and 26.6% (95% CI: 21.26, 31.91) respectively. Subgroup analysis indicated that studies conducted after 2017 had higher mortality rates compared to those studied earlier (43.0% vs. 38.2%). Older age (AHR: 1.89, 95% CI: 1.27, 2.82); being married (AHR: 2.53, 95% CI: 1.79, 3.57); having comorbidities (AHR: 1.84, 95% CI: 1.45, 2.35); having high CEA levels (AHR: 2.06, CI: 1.35, 3.13); being in stage II (AHR: 4.13, 95% CI: 1.85, 9.22), III (AHR: 8.62, 95% CI: 3.88, 19.15), and IV (AHR: 8.06, CI: 2.89, 22.49) were the most important predictors.

CONCLUSION

In Ethiopia, the mortality rate among individuals diagnosed with CRC is high, with two out of five patients dying from this disease. Age, marital status, CEA level, comorbidities, and cancer stage were identified as predictors of mortality in CRC patients. Therefore, early detection and screening should be prioritized, particularly for older patients, those who are married, have comorbidities, elevated CEA levels, and advanced cancer stages.

Dental visits and colon-rectum cancer: A nationwide population-based nested case-control study in Taiwan

Background/purpose

Although oral health and systemic diseases are closely associated, little is known about the utilization of ambulatory dental visits in patients prior to diagnosis of colon-rectum cancer (CRC). In this study, a nested case-control study based on the population-based health claim database was conducted to clarify the relationship between dental visits and CRC in Taiwan.

Materials and methods

From the Longitudinal Health Insurance Research Database 2010 (LHIRD 2010), we identified 4787 patients who were newly diagnosed with CRC from 2005 to 2013. We also recruited 19,148 control subjects matched in a 1:4 ratio based on sex and age at the index date from LHIRD 2010. Both groups were retrospectively traced back to 1997 to obtain any records of ambulatory dental visits that occurred within 8 years prior to the index date. ICD-9 codes 520-529 for diseases of oral cavity, salivary glands, and jaw were defined as dental visits.

Results

The mean frequency of dental visits within 8 years prior to index date among patients with CRC were significantly higher than the control group (P = 0.005). Patients with CRC had significantly higher proportions of certain co-morbidities than control group. However, periodontal treatment, caries filling, and tooth extraction were borderline and not significantly related to CRC after adjustment.

Conclusion

Our results indicate that the utilization of ambulatory dental visits is significantly increased in patients with CRC prior to its diagnosis. Certain co-morbidities may also affect the frequency of dental visits and the occurrence of CRC.

Impact of Patient Comorbidities on Presentation Stage of Breast and Colon Cancers

BACKGROUND

While patients with multiple comorbidities may have frequent contact with medical providers, it is unclear whether their healthcare visits translate into earlier detection of cancers, specifically breast and colon cancers.

METHODS

Patients diagnosed with stage I-IV breast ductal carcinoma and colon adenocarcinoma were identified from the National Cancer Database and stratified by comorbidity burden, dichotomized as a Charlson Comorbidity Index (CCI) Score of <2 or ≥2. Characteristics associated with comorbidities were analyzed by univariate and multivariate logistic regression. Propensity-score matching was performed to determine the impact of CCI on stage at cancer diagnosis, dichotomized as early (I-II) or late (III-IV).

RESULTS

A total of 672,032 patients with colon adenocarcinoma and 2,132,889 with breast ductal carcinoma were included. Patients with colon adenocarcinoma who had a CCI ≥ 2 (11%, n = 72,620) were more likely to be diagnosed with early-stage disease (53% vs. 47%; odds ratio [OR] 1.02, p = 0.017), and this finding persisted after propensity matching (CCI ≥ 2 55% vs. CCI < 2 53%, p < 0.001). Patients with breast ductal carcinoma who had a CCI ≥ 2 (4%, n = 85,069) were more likely to be diagnosed with late-stage disease (15% vs. 12%; OR 1.35, p < 0.001). This finding also persisted after propensity matching (CCI ≥ 2 14% vs. CCI < 2 10%, p < 0.001).

CONCLUSIONS

Patients with more comorbidities are more likely to present with early-stage colon cancers but late-stage breast cancers. This finding may reflect differences in practice patterns for routine screening in these patients. Providers should continue guideline directed screenings to detect cancers at an earlier stage and optimize outcomes.

Multi-morbidity and its association with common cancer diagnoses: a UK Biobank prospective study

BACKGROUND

Whilst multi-morbidity is known to be a concern in people with cancer, very little is known about the risk of cancer in multi-morbid patients. This study aims to investigate the risk of being diagnosed with lung, colorectal, breast and prostate cancer associated with multi-morbidity.

METHODS

We investigated the association between multi-morbidity and subsequent risk of cancer diagnosis in UK Biobank. Cox models were used to estimate the relative risks of each cancer of interest in multi-morbid participants, using the Cambridge Multimorbidity Score. The extent to which reverse causation, residual confounding and ascertainment bias may have impacted on the findings was robustly investigated.

RESULTS

Of the 436,990 participants included in the study who were cancer-free at baseline, 21.6% (99,965) were multi-morbid (≥ 2 diseases). Over a median follow-up time of 10.9 [IQR 10.0-11.7] years, 9,019 prostate, 7,994 breast, 5,241 colorectal, and 3,591 lung cancers were diagnosed. After exclusion of the first year of follow-up, there was no clear association between multi-morbidity and risk of colorectal, prostate or breast cancer diagnosis. Those with ≥ 4 diseases at recruitment had double the risk of a subsequent lung cancer diagnosis compared to those with no diseases (HR 2.00 [95% CI 1.70-2.35] p for trend < 0.001). These findings were robust to sensitivity analyses aimed at reducing the impact of reverse causation, residual confounding from known cancer risk factors and ascertainment bias.

CONCLUSIONS

Individuals with multi-morbidity are at an increased risk of lung cancer diagnosis. While this association did not appear to be due to common sources of bias in observational studies, further research is needed to understand what underlies this association.

A prospective multicentre trial on survival after Microwave Ablation VErsus Resection for Resectable Colorectal liver metastases (MAVERRIC)

AIM

This multi-centre prospective cohort study aimed to investigate non-inferiority in patients' overall survival when treating potentially resectable colorectal cancer liver metastasis (CRLM) with stereotactic microwave ablation (SMWA) as opposed to hepatic resection (HR).

METHODS

Patients with no more than 5 CRLM no larger than 30 mm, deemed eligible for both SMWA and hepatic resection at the local multidisciplinary team meetings, were deliberately treated with SMWA (study group). The contemporary control group consisted of patients with no more than 5 CRLM, none larger than 30 mm, treated with HR, extracted from a prospectively maintained nationwide Swedish database. After propensity-score matching, 3-year overall survival (OS) was compared as the primary outcome using Kaplan-Meier and Cox regression analyses.

RESULTS

All patients in the study group (n = 98) were matched to 158 patients from the control group (mean standardised difference in baseline covariates = 0.077). OS rates at 3 years were 78% (Confidence interval [CI] 68-85%) after SMWA versus 76% (CI 69-82%) after HR (stratified Log-rank test p = 0.861). Estimated 5-year OS rates were 56% (CI 45-66%) versus 58% (CI 50-66%). The adjusted hazard ratio for treatment type was 1.020 (CI 0.689-1.510). Overall and major complications were lower after SMWA (percentage decrease 67% and 80%, p < 0.01). Hepatic retreatments were more frequent after SMWA (percentage increase 78%, p < 0.01).

CONCLUSION

SMWA is a valid curative-intent treatment alternative to surgical resection for small resectable CRLM. It represents an attractive option in terms of treatment-related morbidity with potentially wider options regarding hepatic retreatments over the future course of disease.

Correlation between hypoxia and HGF/c-MET expression in the management of pancreatic cancer

Pancreatic cancer (PC) is very deadly and difficult to treat. The presence of hypoxia has been shown to increase the probability of cancer developing and spreading. Pancreatic ductal adenocarcinoma (PDAC/PC) has traditionally viewed a highly lethal form of cancer due to its high occurrence of early metastases. Desmoplasia/stroma is often thick and collagenous, with pancreatic stellate cells as the primary source (PSCs). Cancer cells and other stromal cells interact with PSCs, promoting disease development. The hepatocyte growth factor (HGF)/c-MET pathway have been proposed as a growth factor mechanism mediating this interaction. Human growth factor (HGF) is secreted by pancreatic stellate cells (PSCs), and its receptor, c-MET, is generated by pancreatic cancer cells and endothelial cells. Hypoxia is frequent in malignant tumors, particularly pancreatic (PC). Hypoxia results from limitless tumor development and promotes survival, progression, and invasion. Hypoxic is becoming a critical driver and therapeutic target of pancreatic cancer as its hypoxia microenvironment is defined. Recent breakthroughs in cancer biology show that hypoxia promotes tumor proliferation, aggressiveness, and therapeutic resistance. Hypoxia-inducible factors (HIFs) stabilize hypoxia signaling. Hypoxia cMet is a key component of pancreatic tumor microenvironments, which also have a fibrotic response, that hypoxia, promotes and modulates. c-Met is a tyrosine-protein kinase. As describe it simply, the MET gene in humans' codes for a protein called hepatocyte growth factor receptor (HGFR). Most cancerous tumors and pancreatic cancer in particular, suffer from a lack of oxygen (PC). Due to unrestrained tumor development, hypoxia develops, actively contributing to tumor survival, progression, and invasion. As the processes by which hypoxia signaling promotes invasion and metastasis become clear, c-MET has emerged as an important determinant of pancreatic cancer malignancy and a potential pharmacological target. This manuscript provides the most current findings on the role of hypoxia and HGF/c-MET expression in the treatment of pancreatic cancer.

Analysis of delay in adjuvant chemotherapy in locally advanced rectal cancer

BACKGROUND

Adjuvant chemotherapy (AC) after neoadjuvant chemoradiation and surgical resection has been the standard of care for locally advanced rectal cancer. However, there are no evidence-based guidelines regarding the optimal timing of AC for rectal cancer. The objective of this study was to evaluate the effect of AC timing on overall survival for rectal cancer.

METHODS

The National Cancer Database (NCDB) from 2004 to 2016 was queried for primary clinical stage II or III rectal cancer patients who had undergone neoadjuvant chemoradiation followed by surgery and AC. Patients were grouped based on AC initiation: early ≤ 4 weeks, intermediate 4-8 weeks, and delayed ≥ 8 weeks. The primary outcome was overall survival.

RESULTS

We identified 8722 patients, of which 905 (10.4%) received early AC, 4621 (53.0%) intermediate AC, and 3196 (36.6%) delayed AC. Pathological lymph-node metastasis (ypN +) was positive in 73% of early AC, 74% intermediate AC, and 63% delayed AC (p < 0.05). The 5-year survival probability was 71.1% (95% CI 68-74%) for early AC, 73.2% (95% CI 72-75%) intermediate AC, and 65.8% (95% CI 64-68%) delayed AC (p < 0.001). Using Cox proportional hazard modeling, patients undergoing delayed AC had an associated decreased survival compared to patients receiving early AC (HR 1.18; 95% CI 1.028-1.353, p = 0.018) or intermediate AC (HR 1.28; 95% CI 1.179-1.395, p < 0.01).

CONCLUSIONS

Delay in AC administration may be associated with decreased 5-year survival. Compared to early or intermediate AC, patients in the delayed AC group were observed to have increased risk of death, despite having lower proportions with ypN + disease. Patients with higher socioeconomic and education status were more likely to receive early chemotherapy.

Timed up and go test and long-term survival in older adults after oncologic surgery

BACKGROUND

Physical performance tests are a reflection of health in older adults. The Timed Up and Go test is an easy-to-administer tool measuring physical performance. In older adults undergoing oncologic surgery, an impaired TUG has been associated with higher rates of postoperative complications and increased short term mortality. The objective of this study is to investigate the association between physical performance and long term outcomes.

METHODS

Patients aged ≥65 years undergoing surgery for solid tumors in three prospective cohort studies, 'PICNIC', 'PICNIC B-HAPPY' and 'PREOP', were included. The TUG was administered 2 weeks before surgery, a score of ≥12 seconds was considered to be impaired. Primary endpoint was 5-year survival, secondary endpoint was 30-day major complications. Survival proportions were estimated using Kaplan-Meier curves. Cox- and logistic regression analysis were used for survival and complications respectively. Hazard ratios (aHRs) and Odds ratios (aOR) were adjusted for literature-based and clinically relevant variables, and 95% confidence intervals (95% CIs) were estimated using multivariable models.

RESULTS

In total, 528 patients were included into analysis. Mean age was 75 years (SD 5.98), in 123 (23.3%) patients, the TUG was impaired. Five-year survival proportions were 0.56 and 0.49 for patients with normal TUG and impaired TUG respectively. An impaired TUG was an independent predictor of increased 5-year mortality (aHR 1.43, 95% CI 1.02-2.02). The TUG was not a significant predictor of 30-day major complications (aOR 1.46, 95% CI 0.70-3.06).

CONCLUSIONS

An impaired TUG is associated with increased 5-year mortality in older adults undergoing surgery for solid tumors. It requires further investigation whether an impaired TUG can be reversed and thus improve long-term outcomes.

TRIAL REGISTRATION

The PICNIC studies are registered in the Dutch Clinical Trial database at www.trialregister.nl: NL4219 (2010-07-22) and NL4441 (2014-06-01). The PREOP study was registered with the Dutch trial registry at www.trialregister.nl: NL1497 (2008-11-28) and in the United Kingdom register (Research Ethics Committee reference 10/H1008/59).  https://www.hra.nhs.uk/planning-and-improving-research/application-summaries/research-summaries/?page=15&query=preop&date_from=&date_to=&research_type=&rec_opinion=&relevance=true .

The Prediction of Survival Outcome and Prognosis Factor in Association with Comorbidity Status in Patients with Colorectal Cancer: A Research-Based Study

Colorectal carcinoma (CRC) is rising exponentially in Asia, representing 11% of cancer worldwide. This study analysed the influence of CRC on patients’ life expectancy (survival and prognosis factors) via clinicopathology data and comorbidity status of CRC patients. Methodology: A retrospective study performed in HUSM using clinical data from the Surgery unit from 2015 to 2020. The demographic and pertinent clinical data were retrieved for preliminary analyses (data cleansing and exploration). Demographics and pathological characteristics were illustrated using descriptive analysis; 5-year survival rates were calculated using Kaplan−Meier methods; potential prognostic variables were analysed using simple and multivariate logistic regression analysis conducted via the Cox proportional hazards model, while the Charlson Comorbidity Scale was used to categorize patients’ disease status. Results: Of a total of 114 CRC patients, two-thirds (89.5%) were from Malay tribes, while Indian and Chinese had 5.3% each. The 50−69.9 years were the most affected group (45.6%). Overall, 40.4% were smokers (majorly male (95.7%)), 14.0% ex-smokers, and 45.6% non-smokers (p-value = 0.001). The Kaplan−Meier overall 5-year median survival time was 62.5%. From the outcomes, patients who were male and >70 years had metastasis present, who presented with per rectal bleeding and were classified as Duke C; and who has tumour in the rectum had the lowest survival rate. Regarding the prognosis factors investigated, “Gender” (adjusted hazard ratio (HR): 2.62; 95% CI: 1.56−7.81, p-value = 0.040), “Presence of metastases” (HR: 3.76; 95% CI: 1.89−7.32, p-value = 0.010), “Metastasis site: Liver” (HR: 5.04; 95% CI: 1.71−19.05, p-value = 0.039), “Lymphovascular permeation” (HR: 2.94; 95% CI: 1.99−5.92, p-value = 0.021), and “CEA-level” (HR: 2.43; 95% CI: 1.49−5.80, p-value = 0.001) remained significant in the final model for multiple Cox proportional hazard regression analyses. There was a significant mean association between tumour grades and the patient’s comorbidity status. Conclusions: Histopathological factors (gender, metastases presence, site of metastases, CEA level, and lymphovascular permeation) showed the best prognosis-predicting factors in CRC.

Bayesian variable selection and survival modeling: assessing the Most important comorbidities that impact lung and colorectal cancer survival in Spain

Cancer survival represents one of the main indicators of interest in cancer epidemiology. However, the survival of cancer patients can be affected by several factors, such as comorbidities, that may interact with the cancer biology. Moreover, it is interesting to understand how different cancer sites and tumour stages are affected by different comorbidities. Identifying the comorbidities that affect cancer survival is thus of interest as it can be used to identify factors driving the survival of cancer patients. This information can also be used to identify vulnerable groups of patients with comorbidities that may lead to worst prognosis of cancer. We address these questions and propose a principled selection and evaluation of the effect of comorbidities on the overall survival of cancer patients. In the first step, we apply a Bayesian variable selection method that can be used to identify the comorbidities that predict overall survival. In the second step, we build a general Bayesian survival model that accounts for time-varying effects. In the third step, we derive several posterior predictive measures to quantify the effect of individual comorbidities on the population overall survival. We present applications to data on lung and colorectal cancers from two Spanish population-based cancer registries. The proposed methodology is implemented with a combination of the R-packages mombf and rstan. We provide the code for reproducibility at https://github.com/migariane/BayesVarImpComorbiCancer .